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p2ru6h | 53 | Questions for any Tesla technicians on here. Currently I m a technician for Mercedes Benz I have a previous manager I ve worked with before that is offering me a role at our local Tesla dealer. It seems Tesla doesn t recognize higher level new hirings it seems that I would have to start s3 level does this seems normal. Also do you feel your job is ever in jeopardy as in they can just clean house when they feel like it? And If you were currently employed elsewhere would you accept less than your currently making to switch to Tesla. Edit: Just want to add thank you to everyone s thoughts about this. All were read and also a few DMs. EV will be the standard for sure in the coming years. I will be filling out the application and wait and see what s what from here. 👍 | Dealerships can clean house way easier than Tesla as dealerships are pretty stable while Tesla needs to constantly expand to keep up with cars on the road. | What country are you in? | 44 | 2 | 8,806 |
p2ru6h | 53 | Questions for any Tesla technicians on here. Currently I m a technician for Mercedes Benz I have a previous manager I ve worked with before that is offering me a role at our local Tesla dealer. It seems Tesla doesn t recognize higher level new hirings it seems that I would have to start s3 level does this seems normal. Also do you feel your job is ever in jeopardy as in they can just clean house when they feel like it? And If you were currently employed elsewhere would you accept less than your currently making to switch to Tesla. Edit: Just want to add thank you to everyone s thoughts about this. All were read and also a few DMs. EV will be the standard for sure in the coming years. I will be filling out the application and wait and see what s what from here. 👍 | I m not a Tesla employee but know many. Yes very normal and I know a former Mercedes tech that just switched 3 months ago and he loves it. If you re a hard worker and get good customer reviews you ll fly through the ranks. Even in 6-months you can be promoted multiple times. It s a very rewarding company in that sense. When techs have good quarters Elon gets emailed about them and reads their names at the meetings etc. Good work gets really noticed from what I m told! | What country are you in? | 39 | 2 | 8,807 |
p34fju | 219 | Just got a Model 3 now I am left with my phone and a house key rather than my usual carabiner that had my car keys as well what did you do with house key after getting a Tesla? Pretty much as described in the title I have just been carrying my phone around and then a loose key not attached to anything. I thought about getting a phone activated lock for my house but those are a couple hundred dollars so I ll hold off for now. Any ideas of what to do with my house key? Interested to see what other people do. | August Lock | Use a garage door that is connected to the house or if you don t have that then use a wifi Bluetooth door lock. This way you just need your phone and then hide the key someplace outside. | 309 | 69 | 8,808 |
p34fju | 219 | Just got a Model 3 now I am left with my phone and a house key rather than my usual carabiner that had my car keys as well what did you do with house key after getting a Tesla? Pretty much as described in the title I have just been carrying my phone around and then a loose key not attached to anything. I thought about getting a phone activated lock for my house but those are a couple hundred dollars so I ll hold off for now. Any ideas of what to do with my house key? Interested to see what other people do. | August Lock | Get the electronic lock. Set the code. Forget the key | 309 | 111 | 8,809 |
p34fju | 219 | Just got a Model 3 now I am left with my phone and a house key rather than my usual carabiner that had my car keys as well what did you do with house key after getting a Tesla? Pretty much as described in the title I have just been carrying my phone around and then a loose key not attached to anything. I thought about getting a phone activated lock for my house but those are a couple hundred dollars so I ll hold off for now. Any ideas of what to do with my house key? Interested to see what other people do. | Live in your car problem solved. | Use a garage door that is connected to the house or if you don t have that then use a wifi Bluetooth door lock. This way you just need your phone and then hide the key someplace outside. | 229 | 69 | 8,810 |
p35lx1 | 35 | What is your following distance set to for highway driving? [removed] [View Poll](https: www.reddit.com poll p35lx1) | There is a number when I m driving alone and a number when I m driving with the wife. | Some people are saying 3 is even too close? What do you guys consider close!? I m always on 1 and consider it right definitely not tail gating. In fact I always have to double check to see if it s on 1 because sometimes it s too far. | 120 | 2 | 8,811 |
p35lx1 | 35 | What is your following distance set to for highway driving? [removed] [View Poll](https: www.reddit.com poll p35lx1) | There is a number when I m driving alone and a number when I m driving with the wife. | 1 for traffic. 2 for freeway and highway. Anything higher just results in stress and other drivers cutting you off. | 120 | 2 | 8,812 |
p35lx1 | 35 | What is your following distance set to for highway driving? [removed] [View Poll](https: www.reddit.com poll p35lx1) | There is a number when I m driving alone and a number when I m driving with the wife. | Wait there is a 6 and 7 now? I thought it only went up to 5 with 3 being the default. I also have never thought of making it that high and might not have looked. I can t imagine going any farther than a follow distance of 4 in my 2020 model 3. I generally do 2 or 3 depending on speed and how much traffic. | 120 | 3 | 8,813 |
p3lyxy | 297 | Lease up in a year when to order the replacement? We have a Model X love it and planning to do another lease once this one is completed. When should I put in the order for the replacement? I believe the new models are taking quite a while for delivery. Also not sure what happens if it s ready before our current lease is completed. Never leased before so I know I m a bit clueless. | The answer is now | Can you extend the lease on your current car? | 397 | 15 | 8,814 |
p3lyxy | 297 | Lease up in a year when to order the replacement? We have a Model X love it and planning to do another lease once this one is completed. When should I put in the order for the replacement? I believe the new models are taking quite a while for delivery. Also not sure what happens if it s ready before our current lease is completed. Never leased before so I know I m a bit clueless. | The answer is now | The wait times are stupid long. I saw someone have some issues with this on another post and have to give their car back and then switch brands because the timing was so off. | 397 | 73 | 8,815 |
p3lyxy | 297 | Lease up in a year when to order the replacement? We have a Model X love it and planning to do another lease once this one is completed. When should I put in the order for the replacement? I believe the new models are taking quite a while for delivery. Also not sure what happens if it s ready before our current lease is completed. Never leased before so I know I m a bit clueless. | Yesterday. | Can you extend the lease on your current car? | 97 | 15 | 8,816 |
p3qx4g | 53 | 2021 Model S refresh audio vs Model 3 audio? Just curious how good the Model S audio on the refresh sounds compared to the Model 3? My opinion was that Model S audio prior to the refresh didn t sound near as good as the Model 3 s. Also opinions on the noise cancellation on the new model S? | I m not an audiophile but I just returned a loaner MS p100d while my refresh MS LR was in for service. I can t speak to the audio quality but I can say with 100% confidence that the interior sound levels are much lower (from road noise) then the pre refresh. That may play a role in audio quality. | Is the rear deck of the S sealed off like it is in the 3 now? I think this is causing me to barely be able to hear the sub in my 2021 model 3. All the bass is from the front door woofers. | 39 | 2 | 8,817 |
p3qx4g | 53 | 2021 Model S refresh audio vs Model 3 audio? Just curious how good the Model S audio on the refresh sounds compared to the Model 3? My opinion was that Model S audio prior to the refresh didn t sound near as good as the Model 3 s. Also opinions on the noise cancellation on the new model S? | I m not an audiophile but I just returned a loaner MS p100d while my refresh MS LR was in for service. I can t speak to the audio quality but I can say with 100% confidence that the interior sound levels are much lower (from road noise) then the pre refresh. That may play a role in audio quality. | So far my only experience in a Plaid was that the speakers had a noticeable hissing noise presumably due to a firmware issue with the active noise canceling. Otherwise it seems equally as good as the 3. | 39 | 4 | 8,818 |
p3qx4g | 53 | 2021 Model S refresh audio vs Model 3 audio? Just curious how good the Model S audio on the refresh sounds compared to the Model 3? My opinion was that Model S audio prior to the refresh didn t sound near as good as the Model 3 s. Also opinions on the noise cancellation on the new model S? | I m not an audiophile but I just returned a loaner MS p100d while my refresh MS LR was in for service. I can t speak to the audio quality but I can say with 100% confidence that the interior sound levels are much lower (from road noise) then the pre refresh. That may play a role in audio quality. | Did the raven Model S not have ultra high fidelity sound? I thought that was made standard. | 39 | 11 | 8,819 |
p4o943 | 437 | FSD Beta 9.2 Has Been Released 24 hours late but hopefully worth the wait!Looking forward to testing this tomorrow when I can get my car connected to wifi. I have yet to record any videos and considering how many YouTubers we already have I figured it wasn t necessary but I am thinking about doing some personal coverage. If anyone had any specific ideas or questions I d love to hear them so I could potentially change my mind. Edit: just a point of discussion that I will return to once I ve tested more: the largest issues I ve experienced with 9.0 9.1 are that it doesn t slow down for dips that usually wind up bottoming out or scraping the front splitter (I would assume this hasn t been fixed yet it just doesn t seem overly important right now though it would be nice if the car didn t try to break itself apart on Autopilot) and it doesn t speed up quickly enough on freeway entrances. The majority of my interventions have been pressing the accelerator which is a good sign but hopefully the software becomes more confident. | Personally I look forward to tweets proclaiming > Oh my god this version is _soooo_ much better! Thank you @elonmusk …but then having those users provide no real objective evidence thereof | Is it just changing for the people that have it or are they rolling it out to more users? | 116 | 4 | 8,820 |
p4o943 | 437 | FSD Beta 9.2 Has Been Released 24 hours late but hopefully worth the wait!Looking forward to testing this tomorrow when I can get my car connected to wifi. I have yet to record any videos and considering how many YouTubers we already have I figured it wasn t necessary but I am thinking about doing some personal coverage. If anyone had any specific ideas or questions I d love to hear them so I could potentially change my mind. Edit: just a point of discussion that I will return to once I ve tested more: the largest issues I ve experienced with 9.0 9.1 are that it doesn t slow down for dips that usually wind up bottoming out or scraping the front splitter (I would assume this hasn t been fixed yet it just doesn t seem overly important right now though it would be nice if the car didn t try to break itself apart on Autopilot) and it doesn t speed up quickly enough on freeway entrances. The majority of my interventions have been pressing the accelerator which is a good sign but hopefully the software becomes more confident. | Personally I look forward to tweets proclaiming > Oh my god this version is _soooo_ much better! Thank you @elonmusk …but then having those users provide no real objective evidence thereof | Awesome congrats! Funny enough I think they forgot to send mine :p | 116 | 7 | 8,821 |
p4o943 | 437 | FSD Beta 9.2 Has Been Released 24 hours late but hopefully worth the wait!Looking forward to testing this tomorrow when I can get my car connected to wifi. I have yet to record any videos and considering how many YouTubers we already have I figured it wasn t necessary but I am thinking about doing some personal coverage. If anyone had any specific ideas or questions I d love to hear them so I could potentially change my mind. Edit: just a point of discussion that I will return to once I ve tested more: the largest issues I ve experienced with 9.0 9.1 are that it doesn t slow down for dips that usually wind up bottoming out or scraping the front splitter (I would assume this hasn t been fixed yet it just doesn t seem overly important right now though it would be nice if the car didn t try to break itself apart on Autopilot) and it doesn t speed up quickly enough on freeway entrances. The majority of my interventions have been pressing the accelerator which is a good sign but hopefully the software becomes more confident. | Personally I look forward to tweets proclaiming > Oh my god this version is _soooo_ much better! Thank you @elonmusk …but then having those users provide no real objective evidence thereof | I wonder what improvements there are… | 116 | 34 | 8,822 |
p4rjzd | 180 | FSD Beta 9.2 includes larger area for FSD visualizations [https: twitter.com brandonee916 status 1426821681096454147](https: twitter.com brandonee916 status 1426821681096454147) Quote: V9.2 FSD visualization takes nearly the entire screen now! | It looks the exact same as the expanded visualization that came out months ago to FSD beta... am I missing something? | Based on what I ve seen it looks like the icons at the bottom are better aligned (centered) with this new layout. When not in FSD the camera button looks nearly centered to the three dots. Here the three dots are centered in between two icons. | 67 | 13 | 8,823 |
p59vwc | 144 | ELI5 Why do teslas use 400v instead of 800V like the Porsche EVs Using 800V instead of 400V seems to make everything twice more powerful with the same wire size charging can be 2x faster. Or altenatively everything can be thinner for the same power output power wires within the car can be 2x thinner SC charging cables could be thinner etc... Why did Tesla settle for 400V and why is there not talk about upcoming models moving to 800V? It would seem that the upgrade seems as simple as doubling halving coils somewhere in the AC DC converter. It s probably more complicated than that ELI5 ? | People are unfortunately science illiterate on this subject and they always revert to Bigger number equals better . There is more nuance to it than that. The only real advantage for using higher voltage is that the wiring that this voltage travels over can be thinner for the same amount of power due to lower current values. Thats pretty much it. And the negatives are that now you have 800V on your nodes which comes with its own set of technical problems. It doesn t have much to do with charging unless you have absolutely monstrous sized batteries. Do you know what limits the charging speed of a battery..... the cell. Each cell can range somewhere in the vicinity between 3.0V and 4.2V between empty and full (chemistry dependent). Even if you have a trilliion volt charger in the end you are charging thousands of cells up to around 4 volts. And each one of those cells on average charge at 1C which is why almost every EV no matter who builds it cannot beat the 1 hour 0% to 100% charge. Isn t dat veird? Buuuut briefly when the batteries are very low and not too hot and not too cold you can burst charge them at much higher C rates and it just so happens that going from like 10% to 80% is short enough to not be annoying for the traveler but gets you enough energy to drive until you need another bathroom break. So manufacturers are advertising and optimizing in that range. And nobody is really blowing anyone else out the water at the high end. They are all within a few minutes of each other. There won t be any significant gains in the 10% to 80% or 0% to 100% until there are some fundamental chemistry and form factor design changes. The 4680 cell has the possibility of making a significant advance in this area and its because the entire edge of the internal copper plate will be thermally coupled with the top of the cell. This allows heat to be wicked from the cell interior MUCH more effectively. Whats odd though is that I ve heard that they are still radially cooling the cells with the 4680 s which makes no sense because with them being thicker heat will be a BIGGER problem now. I thought I heard that in Elon s interview with Sandy Munroe but I can t recall so don t quote me. But even cooling radially resistive heat while charging should be reduced since the electron path is now much shorter with the tabless design. | Cost. 400V components are significantly cheaper because 400V is a very common voltage. E.g. most industrial equipment runs on 3 phase AC which is about 400V. 800V components are much more niche and thus more expensive. | 179 | 2 | 8,824 |
p59vwc | 144 | ELI5 Why do teslas use 400v instead of 800V like the Porsche EVs Using 800V instead of 400V seems to make everything twice more powerful with the same wire size charging can be 2x faster. Or altenatively everything can be thinner for the same power output power wires within the car can be 2x thinner SC charging cables could be thinner etc... Why did Tesla settle for 400V and why is there not talk about upcoming models moving to 800V? It would seem that the upgrade seems as simple as doubling halving coils somewhere in the AC DC converter. It s probably more complicated than that ELI5 ? | People are unfortunately science illiterate on this subject and they always revert to Bigger number equals better . There is more nuance to it than that. The only real advantage for using higher voltage is that the wiring that this voltage travels over can be thinner for the same amount of power due to lower current values. Thats pretty much it. And the negatives are that now you have 800V on your nodes which comes with its own set of technical problems. It doesn t have much to do with charging unless you have absolutely monstrous sized batteries. Do you know what limits the charging speed of a battery..... the cell. Each cell can range somewhere in the vicinity between 3.0V and 4.2V between empty and full (chemistry dependent). Even if you have a trilliion volt charger in the end you are charging thousands of cells up to around 4 volts. And each one of those cells on average charge at 1C which is why almost every EV no matter who builds it cannot beat the 1 hour 0% to 100% charge. Isn t dat veird? Buuuut briefly when the batteries are very low and not too hot and not too cold you can burst charge them at much higher C rates and it just so happens that going from like 10% to 80% is short enough to not be annoying for the traveler but gets you enough energy to drive until you need another bathroom break. So manufacturers are advertising and optimizing in that range. And nobody is really blowing anyone else out the water at the high end. They are all within a few minutes of each other. There won t be any significant gains in the 10% to 80% or 0% to 100% until there are some fundamental chemistry and form factor design changes. The 4680 cell has the possibility of making a significant advance in this area and its because the entire edge of the internal copper plate will be thermally coupled with the top of the cell. This allows heat to be wicked from the cell interior MUCH more effectively. Whats odd though is that I ve heard that they are still radially cooling the cells with the 4680 s which makes no sense because with them being thicker heat will be a BIGGER problem now. I thought I heard that in Elon s interview with Sandy Munroe but I can t recall so don t quote me. But even cooling radially resistive heat while charging should be reduced since the electron path is now much shorter with the tabless design. | So if this thread is correct I m hearing that 800v systems are currently a waste of time? They offer marginal (if anything at all) real world benefit and increase cost and complexity significantly? | 179 | 2 | 8,825 |
p59vwc | 144 | ELI5 Why do teslas use 400v instead of 800V like the Porsche EVs Using 800V instead of 400V seems to make everything twice more powerful with the same wire size charging can be 2x faster. Or altenatively everything can be thinner for the same power output power wires within the car can be 2x thinner SC charging cables could be thinner etc... Why did Tesla settle for 400V and why is there not talk about upcoming models moving to 800V? It would seem that the upgrade seems as simple as doubling halving coils somewhere in the AC DC converter. It s probably more complicated than that ELI5 ? | People are unfortunately science illiterate on this subject and they always revert to Bigger number equals better . There is more nuance to it than that. The only real advantage for using higher voltage is that the wiring that this voltage travels over can be thinner for the same amount of power due to lower current values. Thats pretty much it. And the negatives are that now you have 800V on your nodes which comes with its own set of technical problems. It doesn t have much to do with charging unless you have absolutely monstrous sized batteries. Do you know what limits the charging speed of a battery..... the cell. Each cell can range somewhere in the vicinity between 3.0V and 4.2V between empty and full (chemistry dependent). Even if you have a trilliion volt charger in the end you are charging thousands of cells up to around 4 volts. And each one of those cells on average charge at 1C which is why almost every EV no matter who builds it cannot beat the 1 hour 0% to 100% charge. Isn t dat veird? Buuuut briefly when the batteries are very low and not too hot and not too cold you can burst charge them at much higher C rates and it just so happens that going from like 10% to 80% is short enough to not be annoying for the traveler but gets you enough energy to drive until you need another bathroom break. So manufacturers are advertising and optimizing in that range. And nobody is really blowing anyone else out the water at the high end. They are all within a few minutes of each other. There won t be any significant gains in the 10% to 80% or 0% to 100% until there are some fundamental chemistry and form factor design changes. The 4680 cell has the possibility of making a significant advance in this area and its because the entire edge of the internal copper plate will be thermally coupled with the top of the cell. This allows heat to be wicked from the cell interior MUCH more effectively. Whats odd though is that I ve heard that they are still radially cooling the cells with the 4680 s which makes no sense because with them being thicker heat will be a BIGGER problem now. I thought I heard that in Elon s interview with Sandy Munroe but I can t recall so don t quote me. But even cooling radially resistive heat while charging should be reduced since the electron path is now much shorter with the tabless design. | Im not trying to pretend I know the answer but cars aside wiring in residential buildings in the United States is typically limited by 600 V (maximum) insulation on the conductors. (It is 1000 V in Europe.) Perhaps this factors in? | 179 | 2 | 8,826 |
p5mcz2 | 410 | Tesla Plaid toying with other high performance cars on the dragstrip whilst trying not to get kicked off Here s the main video: https: www.youtube.com watch?v=7pEjofbOXds I think there ***may*** come a time when watching the Plaid win all these races becomes monotonous and predictable but today is not that day. The whole video is worth a watch but for the impatient below I linked just the races: For those not in the know the ET quarter mile time doesn t take into account your own reaction time when slamming it on the green light however to win the race the reaction time is taken into account. https: youtu.be 7pEjofbOXds?t=155 - Plaid vs (modified) Jeep Grand Cherokee Trackhawk: The Plaid constantly lifts on and off the pedal so he wins by the smallest margin possible to try and stay over the 10 second quarter mile (otherwise you get kicked off the track unless you have a roll cage!). I love his *Is that all you ve got?!* and laugh towards the end of the race justified because of the alleged over-confidence of the Jeep driver. https: youtu.be 7pEjofbOXds?t=503 - Plaid vs (tuned) Nissan GT-R: With the Plaid feathering again so backwards and forwards like a yoyo must be confusing for the GTR driver. *I m sure some of you folks out there who aren t crazy about GTRs... enjoyed that* . https: youtu.be 7pEjofbOXds?t=748 - Plaid vs (ProCharged) Hellcat Redeye Challenger: The Redeye didn t even know what hit him as the Plaid badge was covered up. This is the second time he s raced this driver and as before the Redeye guy was a bit reserved about what was under the hood (we found out the previous Supercharged Mustang encounter used a nitrous oxide engine). But with the Plaid it doesn t really matter feathering the pedal to just keep a fender ahead of the Redeye ensured a smooth victory (and redemption) for the Plaid (previous race was just the S Raven AFAIK). https: youtu.be 7pEjofbOXds?t=979 - Plaid vs (ProCharged) Hellcat Redeye Challenger - REMATCH. Funnily enough the Redeye guy wanted a rematch because he thought he could still win. Obviously he didn t know the Plaid guy was feathering and had hidden power that wasn t being unleashed. The redeye got a decent headstart and was ahead for a good while but that didn t last long... Even though the Redeye ALSO got under 10s the plaid ran a 9.72 which is pushing his luck because he could get kicked off the track. Worth it though! Hilariously the Redeye driver couldn t believe the Plaid was feathering judging by the conversation that took place [afterwards](https: youtu.be 7pEjofbOXds?t=1098) (also see [end](https: youtu.be 7pEjofbOXds?t=1373) of video). | Tesla guy is great. His videos have been awesome. He has a “foot pedal” camera in his car to show that he is feathering the pedal when racing. He does this so he doesn t have to get kicked off the track. Crazy! Dude is just messing with these other cars. | Didn t watch all of it but I like the Tesla guy. It seems like he s just a regular dude in his day-driver. He s obviously holding back a log on the track but in the end he seems like a nice dude and is not being a dick about winning easily. | 152 | 37 | 8,827 |
p5mcz2 | 410 | Tesla Plaid toying with other high performance cars on the dragstrip whilst trying not to get kicked off Here s the main video: https: www.youtube.com watch?v=7pEjofbOXds I think there ***may*** come a time when watching the Plaid win all these races becomes monotonous and predictable but today is not that day. The whole video is worth a watch but for the impatient below I linked just the races: For those not in the know the ET quarter mile time doesn t take into account your own reaction time when slamming it on the green light however to win the race the reaction time is taken into account. https: youtu.be 7pEjofbOXds?t=155 - Plaid vs (modified) Jeep Grand Cherokee Trackhawk: The Plaid constantly lifts on and off the pedal so he wins by the smallest margin possible to try and stay over the 10 second quarter mile (otherwise you get kicked off the track unless you have a roll cage!). I love his *Is that all you ve got?!* and laugh towards the end of the race justified because of the alleged over-confidence of the Jeep driver. https: youtu.be 7pEjofbOXds?t=503 - Plaid vs (tuned) Nissan GT-R: With the Plaid feathering again so backwards and forwards like a yoyo must be confusing for the GTR driver. *I m sure some of you folks out there who aren t crazy about GTRs... enjoyed that* . https: youtu.be 7pEjofbOXds?t=748 - Plaid vs (ProCharged) Hellcat Redeye Challenger: The Redeye didn t even know what hit him as the Plaid badge was covered up. This is the second time he s raced this driver and as before the Redeye guy was a bit reserved about what was under the hood (we found out the previous Supercharged Mustang encounter used a nitrous oxide engine). But with the Plaid it doesn t really matter feathering the pedal to just keep a fender ahead of the Redeye ensured a smooth victory (and redemption) for the Plaid (previous race was just the S Raven AFAIK). https: youtu.be 7pEjofbOXds?t=979 - Plaid vs (ProCharged) Hellcat Redeye Challenger - REMATCH. Funnily enough the Redeye guy wanted a rematch because he thought he could still win. Obviously he didn t know the Plaid guy was feathering and had hidden power that wasn t being unleashed. The redeye got a decent headstart and was ahead for a good while but that didn t last long... Even though the Redeye ALSO got under 10s the plaid ran a 9.72 which is pushing his luck because he could get kicked off the track. Worth it though! Hilariously the Redeye driver couldn t believe the Plaid was feathering judging by the conversation that took place [afterwards](https: youtu.be 7pEjofbOXds?t=1098) (also see [end](https: youtu.be 7pEjofbOXds?t=1373) of video). | a car so fast that the new game is to beat the other guy by 0.03 seconds or less... What a car! | Didn t watch all of it but I like the Tesla guy. It seems like he s just a regular dude in his day-driver. He s obviously holding back a log on the track but in the end he seems like a nice dude and is not being a dick about winning easily. | 94 | 37 | 8,828 |
p5mcz2 | 410 | Tesla Plaid toying with other high performance cars on the dragstrip whilst trying not to get kicked off Here s the main video: https: www.youtube.com watch?v=7pEjofbOXds I think there ***may*** come a time when watching the Plaid win all these races becomes monotonous and predictable but today is not that day. The whole video is worth a watch but for the impatient below I linked just the races: For those not in the know the ET quarter mile time doesn t take into account your own reaction time when slamming it on the green light however to win the race the reaction time is taken into account. https: youtu.be 7pEjofbOXds?t=155 - Plaid vs (modified) Jeep Grand Cherokee Trackhawk: The Plaid constantly lifts on and off the pedal so he wins by the smallest margin possible to try and stay over the 10 second quarter mile (otherwise you get kicked off the track unless you have a roll cage!). I love his *Is that all you ve got?!* and laugh towards the end of the race justified because of the alleged over-confidence of the Jeep driver. https: youtu.be 7pEjofbOXds?t=503 - Plaid vs (tuned) Nissan GT-R: With the Plaid feathering again so backwards and forwards like a yoyo must be confusing for the GTR driver. *I m sure some of you folks out there who aren t crazy about GTRs... enjoyed that* . https: youtu.be 7pEjofbOXds?t=748 - Plaid vs (ProCharged) Hellcat Redeye Challenger: The Redeye didn t even know what hit him as the Plaid badge was covered up. This is the second time he s raced this driver and as before the Redeye guy was a bit reserved about what was under the hood (we found out the previous Supercharged Mustang encounter used a nitrous oxide engine). But with the Plaid it doesn t really matter feathering the pedal to just keep a fender ahead of the Redeye ensured a smooth victory (and redemption) for the Plaid (previous race was just the S Raven AFAIK). https: youtu.be 7pEjofbOXds?t=979 - Plaid vs (ProCharged) Hellcat Redeye Challenger - REMATCH. Funnily enough the Redeye guy wanted a rematch because he thought he could still win. Obviously he didn t know the Plaid guy was feathering and had hidden power that wasn t being unleashed. The redeye got a decent headstart and was ahead for a good while but that didn t last long... Even though the Redeye ALSO got under 10s the plaid ran a 9.72 which is pushing his luck because he could get kicked off the track. Worth it though! Hilariously the Redeye driver couldn t believe the Plaid was feathering judging by the conversation that took place [afterwards](https: youtu.be 7pEjofbOXds?t=1098) (also see [end](https: youtu.be 7pEjofbOXds?t=1373) of video). | If you watch a previous video after he runs a quarter mile in the 9 second range at a speed over 150mph the guy who runs the track tells him if he does it again he s banned from the track. For anybody not familiar with drag racing at a track safety is very important and there are rules. Everyone is required to have a helmet on when racing for example. Most tracks have a speed limit imposed for street cars. They require anybody running a quarter mile faster than 10 seconds or over 150mph to have a roll cage installed in their car in case they lose control and flip on the track. Now up until the Plaid the great majority of street cars don t even come close to 10 second quarter mile times mostly just the cars that are purpose-built drag racers with huge motors drag radials nitrous and a roll cage for safety. So with that safety stuff in mind what you re seeing here is a Plaid Model S that s so powerful that it can easily outrun the fastest street cars if it went full throttle all the way down the track so instead he modulates the throttle all the way down the track to stay just close enough ahead of the other car to win the race without breaking the speed limit rule. Kinda goes back to that ole Dom Toretto nugget: ‘Doesn t matter if you win by an inch or a mile…winning s winning. | I want big car youtubers to review it. Like Carwow etc. | 50 | 2 | 8,829 |
p5tmfk | 122 | Tesla Software Update Megathread - 2021.24.3 **2021.24.3** is rolling out to more than 5% of the fleet and working its way out to more vehicles! Learn more about Tesla vehicles updates [here](https: www.tesla.com support software-updates). Track your vehicle stats and see past updates: [Software Updates Wiki](https: www.reddit.com r teslamotors wiki softwareupdates) \\- Past Megathreads + other information. [Teslascope](https: www.teslascope.com) \\- Track Software Trips and Control your vehicle. [TeslaFi](https: www.teslafi.com) \\- Track Software Trips and Control your vehicle. Discover anything specific? Such as new Autopilot capabilities changes in the overall UI or known bugs that have been fixed share your findings here! Keep in mind some features may or may not be available based on your Model Model Year MCU Version Autopilot Hardware Version or Geographic Location. Please refer to the release note link for more specifics on vehicles. Your software versions may not be pushed to your car in any specific order and are deployed in batches. | Pushing the album art button to toggle the music menu works again! | [proof - w00t! ](https: imgur.com a 7rCpGuE) | 153 | 2 | 8,830 |
p5tmfk | 122 | Tesla Software Update Megathread - 2021.24.3 **2021.24.3** is rolling out to more than 5% of the fleet and working its way out to more vehicles! Learn more about Tesla vehicles updates [here](https: www.tesla.com support software-updates). Track your vehicle stats and see past updates: [Software Updates Wiki](https: www.reddit.com r teslamotors wiki softwareupdates) \\- Past Megathreads + other information. [Teslascope](https: www.teslascope.com) \\- Track Software Trips and Control your vehicle. [TeslaFi](https: www.teslafi.com) \\- Track Software Trips and Control your vehicle. Discover anything specific? Such as new Autopilot capabilities changes in the overall UI or known bugs that have been fixed share your findings here! Keep in mind some features may or may not be available based on your Model Model Year MCU Version Autopilot Hardware Version or Geographic Location. Please refer to the release note link for more specifics on vehicles. Your software versions may not be pushed to your car in any specific order and are deployed in batches. | Pushing the album art button to toggle the music menu works again! | Yay mines pending | 153 | 3 | 8,831 |
p5tmfk | 122 | Tesla Software Update Megathread - 2021.24.3 **2021.24.3** is rolling out to more than 5% of the fleet and working its way out to more vehicles! Learn more about Tesla vehicles updates [here](https: www.tesla.com support software-updates). Track your vehicle stats and see past updates: [Software Updates Wiki](https: www.reddit.com r teslamotors wiki softwareupdates) \\- Past Megathreads + other information. [Teslascope](https: www.teslascope.com) \\- Track Software Trips and Control your vehicle. [TeslaFi](https: www.teslafi.com) \\- Track Software Trips and Control your vehicle. Discover anything specific? Such as new Autopilot capabilities changes in the overall UI or known bugs that have been fixed share your findings here! Keep in mind some features may or may not be available based on your Model Model Year MCU Version Autopilot Hardware Version or Geographic Location. Please refer to the release note link for more specifics on vehicles. Your software versions may not be pushed to your car in any specific order and are deployed in batches. | Pushing the album art button to toggle the music menu works again! | I am also installing now! | 153 | 3 | 8,832 |
p7o0bh | 409 | Tesla s AI Day - Event Megathread! Hi all welcome have a look around. Anything that brain of yours can think of can be found. If you need drinks or a snack they are over in your fridge. [**YouTube Livestream Link**](https: youtu.be j0z4FweCy4M) | [**Tesla s Livestream Page**](https: livestream.tesla.com) | [**RedditStream**](http: reddit-stream.com comments p7o0bh) (Live Comment Stream) We ll be posting updates more links etc as we get closer to the event. Please remember that we re all human... well most of us anyways. Be kind and make sure to tip your bartender. Comments sorted by New. **Everyone catching all this? I need .25x speed** **This stuff is too easy... make it harder for us geez.** **3 000 D1 Dojo chips...1.1 Exaflops...wtf is happening...** **In depth AI conversations on Tesla specifically also check out r TeslaAutonomy!** | My wife just texted me “I d like to think I don t have to say this but we are definitely not getting a Tesla Bot” | Don t keep people waiting 5 minutes past start time. Amateurs | 207 | 2 | 8,833 |
p7o0bh | 409 | Tesla s AI Day - Event Megathread! Hi all welcome have a look around. Anything that brain of yours can think of can be found. If you need drinks or a snack they are over in your fridge. [**YouTube Livestream Link**](https: youtu.be j0z4FweCy4M) | [**Tesla s Livestream Page**](https: livestream.tesla.com) | [**RedditStream**](http: reddit-stream.com comments p7o0bh) (Live Comment Stream) We ll be posting updates more links etc as we get closer to the event. Please remember that we re all human... well most of us anyways. Be kind and make sure to tip your bartender. Comments sorted by New. **Everyone catching all this? I need .25x speed** **This stuff is too easy... make it harder for us geez.** **3 000 D1 Dojo chips...1.1 Exaflops...wtf is happening...** **In depth AI conversations on Tesla specifically also check out r TeslaAutonomy!** | My wife just texted me “I d like to think I don t have to say this but we are definitely not getting a Tesla Bot” | This one sounds a little Smashing Pumpkinsy (Ava Adore). | 207 | 2 | 8,834 |
p7o0bh | 409 | Tesla s AI Day - Event Megathread! Hi all welcome have a look around. Anything that brain of yours can think of can be found. If you need drinks or a snack they are over in your fridge. [**YouTube Livestream Link**](https: youtu.be j0z4FweCy4M) | [**Tesla s Livestream Page**](https: livestream.tesla.com) | [**RedditStream**](http: reddit-stream.com comments p7o0bh) (Live Comment Stream) We ll be posting updates more links etc as we get closer to the event. Please remember that we re all human... well most of us anyways. Be kind and make sure to tip your bartender. Comments sorted by New. **Everyone catching all this? I need .25x speed** **This stuff is too easy... make it harder for us geez.** **3 000 D1 Dojo chips...1.1 Exaflops...wtf is happening...** **In depth AI conversations on Tesla specifically also check out r TeslaAutonomy!** | My wife just texted me “I d like to think I don t have to say this but we are definitely not getting a Tesla Bot” | Who s Al? | 207 | 2 | 8,835 |
pae3qs | 28 | Car seat + Rear HVAC Safety Concern Does anyone else think if a rear seat is set as having a child seat in it HVAC should always run in the rear seats? Here s my scenario… Preface: I m aware that the M3 uses the same seat weight sensors used for the seatbelt warnings to determine whether or not to turn on front passenger and rear HVAC vents. My son Oliver has out grown his infant car seat and we recently upgraded to a rear-facing convertible car seat for him to grown into. The previous car seats weight and position on the seat was enough to trigger the weight sensor for the seatbelt warning. I switched it the car seat setting and all was well. I put in the new car seat and didn t think anything about it. Then my wife and I went on a trip while her parents watched our son - I put the car seat in their car while we were away and I turned off the car seat setting for that seat. After our trip and reinstalling the car seat I noticed the seat belt warning wasn t triggered (even when my son is in it likely due to the way it sits on the rear bench seat) so the AC was never blowing in the rear unless I turned it on manually. I figured no big deal… I just need remove the car seat and have someone sit there so I can re-enable car seat mode in that seat and I bet the AC will start blowing again without needing to remember to turn it on manually. I did that - but I still have to turn the AC on manually in the rear. I had someone sit in another rear seat and the AC turns on in the rear automatically. This tells me turning AC on is solely based on the weight sensors. I find this extremely unsafe. I think Tesla needs to do 2 things here for the safety of children in the rear seat: 1) Don t rely solely on the weight sensor to trigger the HVAC to turn on in the rear seats. If any one of the rear seats has the car seat mode turned on OR a rear weight sensor is triggered HVAC should run in the rear. This would handle the case when a car seat doesn t trigger the weight sensor. (And would put my mind at ease) 2) Allow you to switch a seat to car seat mode without first requiring the weight sensor to be triggered. It seems their intention for the car seat mode was simply to stop the “seatbelt unfastened” nag. But if my first suggestion were to become a thing it would be useful to be able to enable a seat as having a car seat in it so that it handles the case where the car seat doesn t trigger the weight sensor and you don t have to do the weird seat shuffle I had to do with someone else sitting in the seat just to turn car seat mode back on. Curious if anyone else has experienced this or thinks this would be a worthy feature? | I thought it was tied to the use of seat belts in the rear seats? Also I don t see how it s extremely unsafe ? If you re using climate in the front it s not like the rear of the car is going to be significantly hotter if the rear vent is off. We keep the car right around 70 year round and frequently my kids ask for the rear vent to be turned off while driving. | Nope. I pushy button and it go burrr. | 43 | 4 | 8,836 |
pah25h | 23 | Model S 3 cornering capabilities? Of course they can go insanely fast but I haven t read much about their handling capabilities. I live in a state that doesn t have Tesla test driving so I can t try it out (yet). I really enjoy ripping corners in my Subaru wrx - it feels like a go cart. I have to try to lose traction. Can anyone speak to how the handling of a model 3 or S would compare? Or is it apples and oranges? | I ve never managed to lose traction in my Model 3 AWD. Probably my own fault. I may not be enough of a mindless baboon driving it. | I didn t drive a Subaru but its a well known Rally car. Model 3 is too heavy and too soft. I don t think it could compete. Not even if you change suspension | 60 | 3 | 8,837 |
pah25h | 23 | Model S 3 cornering capabilities? Of course they can go insanely fast but I haven t read much about their handling capabilities. I live in a state that doesn t have Tesla test driving so I can t try it out (yet). I really enjoy ripping corners in my Subaru wrx - it feels like a go cart. I have to try to lose traction. Can anyone speak to how the handling of a model 3 or S would compare? Or is it apples and oranges? | We live on a very winding road and our M3 takes the turns as if it s on rails. Because of the low center of gravity there is very little body roll. Is is a rally car? No. But it handles amazingly well on normal roads. | I didn t drive a Subaru but its a well known Rally car. Model 3 is too heavy and too soft. I don t think it could compete. Not even if you change suspension | 29 | 3 | 8,838 |
pamu9r | 117 | Feature Request Megathread Hey Everyone! If you could try to format feature requests by model if needed with a small description and scenario. Also while trying to keep it realistic within the software realm and currently known hardware realm. These will post every 2 weeks. | Already said a gazillion times but still not there... Side camera view popping up the screen when turn signals are on. | Swipe right on the car driving visualization to replace it with some useful like music player. Similar to how swiping below brings up tire pressure or odometer. | 199 | 16 | 8,839 |
pamu9r | 117 | Feature Request Megathread Hey Everyone! If you could try to format feature requests by model if needed with a small description and scenario. Also while trying to keep it realistic within the software realm and currently known hardware realm. These will post every 2 weeks. | Already said a gazillion times but still not there... Side camera view popping up the screen when turn signals are on. | The car can detect rain for the windshield wipers right? All I want is a checkbox that if checked rolls up the windows if rain is detected while parked. I m sick of it being 95F and the windows are vented and a flash thunderstorm comes through and soaks the car. | 199 | 25 | 8,840 |
pamu9r | 117 | Feature Request Megathread Hey Everyone! If you could try to format feature requests by model if needed with a small description and scenario. Also while trying to keep it realistic within the software realm and currently known hardware realm. These will post every 2 weeks. | Already said a gazillion times but still not there... Side camera view popping up the screen when turn signals are on. | It d be great if there was an option to overlay vehicle speed on dashcam footage | 199 | 27 | 8,841 |
pc04bo | 171 | Pro tip: consider adding your mobile connector to the list of things to unplug during a thunderstorm Basically the title. We had a bad storm a couple of weeks ago and our house actually got struck by lightning. I had unplugged several commonly suggested things like computers TVs etc. but still had several things take damage from the shock. I actually had left the car plugged in and hadn t even thought about it when unplugging things. Thankfully the car s fine but the Mobile Connector is shot. Luckily a Supercharger just got installed along my commute I ll have to use that for a bit while I wait for insurance to settle everything so I can replace the mobile connector and or upgrade to a wall connector. | I just figure a direct lightning strike will charge my car from 20% to 80% instantly. And maybe allow for time travel | Great tip. Thanks. | 275 | 4 | 8,842 |
pc04bo | 171 | Pro tip: consider adding your mobile connector to the list of things to unplug during a thunderstorm Basically the title. We had a bad storm a couple of weeks ago and our house actually got struck by lightning. I had unplugged several commonly suggested things like computers TVs etc. but still had several things take damage from the shock. I actually had left the car plugged in and hadn t even thought about it when unplugging things. Thankfully the car s fine but the Mobile Connector is shot. Luckily a Supercharger just got installed along my commute I ll have to use that for a bit while I wait for insurance to settle everything so I can replace the mobile connector and or upgrade to a wall connector. | I just figure a direct lightning strike will charge my car from 20% to 80% instantly. And maybe allow for time travel | Reminds me that I should look into a residential whole house surge protector. [HomeDepot carries this one](https: www.homedepot.com p Leviton-120-Volt-240-Volt-Residential-Whole-House-Surge-Protector-R02-51110-SRG 202993881#product-overview) but I m not sure if that is sufficient against a direct lightning strike and the what the installation cost would be. | 275 | 4 | 8,843 |
pc04bo | 171 | Pro tip: consider adding your mobile connector to the list of things to unplug during a thunderstorm Basically the title. We had a bad storm a couple of weeks ago and our house actually got struck by lightning. I had unplugged several commonly suggested things like computers TVs etc. but still had several things take damage from the shock. I actually had left the car plugged in and hadn t even thought about it when unplugging things. Thankfully the car s fine but the Mobile Connector is shot. Luckily a Supercharger just got installed along my commute I ll have to use that for a bit while I wait for insurance to settle everything so I can replace the mobile connector and or upgrade to a wall connector. | I just figure a direct lightning strike will charge my car from 20% to 80% instantly. And maybe allow for time travel | Good call. Am I right to assume the mobile connector has a safety measure to ensure the car is safe in situations such as these? I guess I ve always assumed that s the case but it s probably best to know for sure. I m guessing it has some sort of surge protector built in? | 275 | 7 | 8,844 |
pcgz6d | 536 | Layman s Explanation of Tesla AI Day This is my attempt to explain the technical information that was presented at Tesla AI Day. **Part 1: Overview** Tesla autopilot needs to be understood as a general purpose driving system that can in theory handle any driving situation in any location. This is opposed to many other self driving systems from Ford GM Mercedes etc. that rely on pre-defined high definition maps and geographically locked self driving areas. The Tesla system perceives the driving environment in real time through its eight cameras. The Tesla vision and car control system uses backpropagation trained neural networks in combination with complex C++ coded algorithms. A backpropagation trained neural network is the same kind of neural network that is currently used throughout the AI industry today. It is what powers voice assistants like Alexa and Siri Netflix recommendations and Apple s face recognition technology. These neural networks (NN) have some differences and some similarities with the way our brains work. Production systems will train such a NN using millions of examples that explicitly tells the NN what it is supposed to be learning from these examples. For instance a visual NN will be shown millions of images with each image also carrying one or more labels identifying what is in the image. To train a NN for complex scene analysis a person would draw lines around objects identifying what is in each drawn polygon. For example in the image below labels are assigned to each object you want the system to know about. & #x200B https: preview.redd.it qupi1qog6uj71.png?width=624& format=png& auto=webp& s=1dfd6af038d21371182187081282519f4478407f Once you have millions of *labeled* images you can train a NN on this data. Training is very compute intensive and is normally done on huge GPU clusters. It isn t unusual to take several days to train a large data set on a very large GPU cluster. After training you now have a NN with millions of internal parameters that were generated during training. You can then download this NN onto a typically much smaller inference processor and run the NN to do your scene analysis or whatever you are trying to do. Running a scene analysis will typically take a fraction of a second per image on an inference processor with a trained NN. Tesla of course built their own AI inference chip and each car has two of these. Now when Elon says each person using Autopilot is helping to train the NN this is only partially true. First your particular car isn t learning anything. It can only run the downloaded NN to understand visual scenes. What it *can* do though is upload 10 second long video snapshots when requested by Tesla. For example when Tesla wanted to improve detection of cut-ins or cars merging into your lane on the freeway they wrote a query that ran in each car in the Tesla fleet. The Tesla car computers would trigger whenever it saw a car moving into your lane and then upload these 10 second or so clips to the Tesla datacenter. After a few days Tesla would have say 10 000 video clips of this happening. These clips are auto labelled since they each contain video of the car being cut off on the freeway. Tesla then trains their NN on these labelled video clips. The NN picks out and learns clues from the video by itself like when a blinker is on or a car starts to drift over or its angle subtly changes. That s the fundamental power of a NN – with labelled data it can automatically without (much) human programming learn how to recognize patterns. So after retraining the NN Tesla will deploy the new NN in shadow mode into the Tesla fleet and ask the fleet to observe when cut-in predictions are incorrect. Either failing to predict that a car will cut-in or predicting that a car will cut in but it doesn t are flagged by the cars running in shadow mode. These exceptions are then uploaded again to the datacenter and a new NN is trained on this exception data. A newer NN is then deployed and run again in shadow mode. This cycle repeats for however many times it takes for the network to get really good at prediction at which time it is finally deployed to the fleet as a working update. When Tesla says its fleet is its secret weapon versus everyone else it isn t boasting. Tesla effectively has 1M+ mobile Tesla AI chips available at its disposal to do this kind of training. Thinking about it in these terms Tesla has by far the biggest AI supercomputer on the planet. OK with that as background let s get to how the Tesla NN actually works. **Part 2: Vision Architecture** This figure shows the overall architecture of the vision system. This is only for perception meaning understanding what you are seeing. Not shown is the driving and control system which will be discussed later. & #x200B https: preview.redd.it b91xjp417uj71.png?width=624& format=png& auto=webp& s=09a0951b3d84f52a594da5efb3da02a4a28ac5d2 This is very high level – each of these boxes will typically contain a few to a dozen neural nets each connected in various complex ways. All 8 cameras first undergo a calibration neural net which warps each camera into a standard image that should be the same across the entire fleet. When you first purchase the car Autopilot goes through a several day calibration exercise where it trains an in-car neural network to understand how each camera in the car is off baseline. Each camera could be slightly twisted or pointed too high skyward or whatever and the car needs to understand what these deviations from baseline are so that the image that is presented to the Autopilot neural network looks the same to that neural network across all cars. This is the only time a neural network is actually trained in the car itself. Once you get past this calibration (warping) stage standard low level features are extracted from the images to reduce or compress the huge amount of image data into something more manageable without losing any important information. The next step is to merge all eight cameras into one view while at the same time building a 3D vector space representation of the world. Creating a 3D vector space representation of a 2D flat image is something our human visual cortex does so well automatically that you probably don t even realize you are doing it. When you look at an image like this: & #x200B https: preview.redd.it y4p0mfy97uj71.png?width=624& format=png& auto=webp& s=c4b3b0c6f07f42319df261ed3da8e0c233a70a77 You just know that the red sign is further away than those three cars and the American flag is at about the same distance away as the car with the headlights and that car is well back of the white van. The Autopilot NN has to figure this out as well and the resulting output is a three dimensional model of the world with key features located in that 3D space. Tesla s 3D vector space model is a fairly dense raster with each point having a distance measurement away from the car. It is similar to the point cloud a LIDAR system would generate: & #x200B https: preview.redd.it rqxbcb5d7uj71.png?width=624& format=png& auto=webp& s=a8bd51b201897c4399654b6623cb709f62a782ad Tesla s 3D vector space additionally adds velocity to moving objects locates curbs driveable areas is in color and has a higher resolution. It is also quite a bit more sophisticated than a LIDAR plot since it makes a 3D image that includes occluded objects – for instance a pedestrian that is currently behind a car and can t be seen in the current video frame. The network tracks these occluded objects using a memory based video module described below. Note that Tesla s low level NN vision system is very sophisticated. Just like the human cortex these networks share information from the top level of the hierarchy to the lowest. Here s an example where you are trying to figure out what a 10x10 pixel image is (on the left). & #x200B https: preview.redd.it 40o5v2wg7uj71.png?width=624& format=png& auto=webp& s=a9c1440504008596388df813f454a60f969d8697 The NN knows (has learned) that the 10x10 blurry pixels are at the vanishing point of the image and thus it can infer they are a car s headlights. Once the camera fusion and 3-D vector space is created Tesla adds in time and location based memory. The example they gave is when you drive towards an intersection you might roll over lane markings indicating the leftmost lane is a turn lane. & #x200B https: preview.redd.it ms31wo9j7uj71.png?width=336& format=png& auto=webp& s=7f1304e1d0c1ae98a26288d97c3344c91dfd7383 By the time you reach the intersection it s been a couple of seconds when you passed over the left hand turn lane marker so there needs to be some kind of memory of these features as you pass them by. The vision engine will snapshot the extracted features it is seeing every short time internal or 1m of travel creating a list of recently seen visual clues. Again this is very similar to the way humans drive – we may not consciously remember that we rolled over a left hand turn marker but our own neural network does and uses that information to guide our driving. This video module is also used to keep track of occluded objects. For instance when you are driving on a multi lane freeway cars directly to the left or right of you two lanes over might be hidden by a car right beside you but they were visible three seconds earlier before a car got in the way. The video module allows the NN to remember where these cars were and likely still are and that information is critical for planning. This video module where Tesla adds in a running memory of recent features is very powerful and I m not aware of any other self driving system that does anything like this. Finally the output of this video network that is a combination of the current visual scene and recent visual clues projected onto a 3D vector space is then consumed by around 80 other neural networks that Tesla calls tasks . Each task does a very specific thing like locate and understand traffic lights or perceive traffic cones or see stop signs or identify cars and their velocities etc. The output of these tasks is high level semantic information like: in 30m there is a red traffic light or this car 30m in front of me is likely parked. **Part 3: Planning and Control** Now that the NN understands locations of all objects what they are how fast and in what direction they are moving what is road surface where the curbs are what the signal environment (traffic road signs) is and what recently happened now the autopilot must do three things. First it must predict what all the other moving objects are going to do in the next short while. Second it must plan out what it is going to do based on an overall plan (like following a GPS route) and third it has to tell the car what to do. This can get quite complicated. Let s explain using a simple example where the car is in the rightmost lane of a three lane road and needs to make a left turn up ahead while there are cars in the middle lane. To do this properly the car must merge in between the two cars in the center lane and then merge into the far left lane and do this without going too fast or too slow or with too much acceleration or deacceleration. Currently Tesla uses a search algorithm coded in C++ to figure this out. It essentially simulates a couple of thousand different scenarios in which the car and the other cars on the road all interact. It does this at a fairly coarse grained level and the numbers they gave is that the simulator search system could simulate search 2 500 different scenarios in 1.5 ms. All these simulations use physics based models meaning they are idealized representations of cars on roads in a simple road representation of lanes and dividers etc. At the end of this exercise the path planner has a rough plan for what the next 15 seconds of travel will be and at that point it creates a very detailed plan that exactly maps out the specific turning radius travel path and speed changes required to make the driving as smooth as possible. This too is done using a C++ search algorithm but uses a different technique that takes into account lateral acceleration lateral jerk collision risk traversal time and merges all this into a total cost function to minimize the total cost for the refined planned route. The example they showed to plan out the smooth path for 10 seconds of driving shows about 100 iterations through this search function. This planning function along with all the visual perception system before it happens every 27 ms (36 times a second). So autopilot is sensing and recreating plans 36 times a second to ensure that nothing is going to catch it unprepared for whatever weird crap happens around the car. Autopilot isn t omniscient and can t tell that the idiot driver you are merging in front of is rage texting a twitter response but it can notice more quickly that you can that said driver s car is on a collision course and autopilot will thus react accordingly. Tesla is working on a new planning algorithm that mostly uses a planning NN instead of hand coded C++ as is currently done. The benefit of a NN algorithm will probably be speed but it might provide some better plans as well. Oddly enough one of the toughest things to plan is navigating around a parking lot. Tesla showed how their NN planner in development would handle this task in much less time than their current planner. **Part 4: Training** OK I ve talked about how the various Tesla NNs work when perceiving the world and eventually planning to drive around it but how do you teach the NN? As I described in part 1 you need to give a NN millions of labeled examples for it to learn what you are trying to teach it. Tesla started off doing this the same way the rest of the industry does it by having humans draw polygons around features in images. This does not scale. Tesla soon created tools to label in their vector space that is an 8 camera stitched together 3D representation of the world. Label a curb in this enhanced view and now it is auto labeled in the corresponding visual image on maybe three cameras. They then realized that their fleet drives through the same intersection thousands of times so by tagging an intersection using GPS co-ordinates a single vector human space labelling effort could now auto label thousands of images taken during all sorts of weather conditions and time of day and angle of viewing. So in 3d vector space once you know a stoplight is a stoplight then thousands of future drives through the same intersection from multiple different directions time of day weather and lighting all can label the same stoplight as a stoplight automatically with no more human input. Tesla then added completely automatic auto labelling. A car s AI chip can only recognize so much but a 1 000 GPU cluster is much more powerful and doesn t have millisecond time constraints so such a cluster can be used to automatically label novel images. Tesla used this auto labelling capability to remove radar with 3 months of effort in early 2021. Part of the problem they had when removing radar was degraded video. For example when a passing snowplow dumps tons of snow onto the car occluding well everything. Tesla realized they needed to auto label poor visibility situations so they asked the Tesla fleet for examples of when the car NN had temporary zero visibility. They auto labeled 10 000 poor visibility videos in a week something Tesla said would have taken several months with humans. After retraining the visual NN with this batch of labelled poor visibility video the system was able to remember and predict where everything was in the scene as you go through temporary poor visibility similar to how humans handle such situations. **Using Simulations** Simulations or *creating* a 3D world like you would in a detailed video game is something that Tesla is starting to use mostly for edge cases. They showed examples of people or dogs running on a freeway a scene with hundreds of pedestrians or a new type of truck that no one s seen before (the Cybertruck!). Even the auto labeler has a hard time with hundreds of pedestrians as you might have in Hong Kong or NYC so creating a simulation where the system knows exactly where everyone is and how fast they are walking is a better solution to train with. They work really hard to make accurate simulations. They have to mimic what the camera will see in real world conditions. Lighting and ray tracing must be very accurate. Noise in road surfaces must be introduced and they even have a special NN used just to add noise and texture to generated images. Tesla now has thousands of unique vehicles pedestrians animals and props in their simulation engine. Each move or look real. They also have 2 000 miles of very diverse and unique roads. And when they want to create a scene the scene is most often created procedurally via computer algorithms as opposed to having an artist create the scene. They can ask for nighttime daytime raining snowing etc. Finally because they can automatically build whatever kind of visual world they want they now can use adversarial machine learning techniques where one computer system is trying to create a scene that will break the car s visual perception system and then this breakage can be used to train the vision system better and then it goes back into a closed loop training system. To say that Tesla s learning pipeline is next level is an understatement. It is now extremely sophisticated and is arguably the most powerful in the world. **DoJo** DoJo is Tesla s next generation training data center. Right now they make do with thousands of the current state of the art Nvidia A100 GPUs clustered together. Tesla thought they could do better so they custom designed their own AI training chip (not to be confused with the AI inference chip which is inside every Tesla car). The training chip is far more powerful and has been designed to work as a piece of a huge super computer cluster. I won t say much about DoJo but suffice it to say that it is world class in so many ways from packaging cooling power integration and huge communications bandwidth (easily 10x of current capabilities). Dojo is still being built I d guess it is 4-6 months away from being used in a production environment. When it does start getting used Tesla s productivity will increase – they ll basically be able to do more faster. **Part 5: Future Work & Conclusions** From watching this and other Tesla AI videos from the last two years you can tell that Tesla has been racing to get to a working FSD vision system. When Tesla releases their v10 FSD Beta (only weeks away 😀) it will be a great system but there are a lot of optimizations Tesla is working on that will be rolled out over the next year or so. Here are a few they talked about. You might have noticed that Tesla s vision system merges all eight cameras quite late in processing. You could do this earlier in the pipeline and potentially save a lot of in car processing time. The vision system produces a fairly dense 3D raster of world. The rest of the processing system (like those 80+ tasks) must then interpret this raster. Tesla is exploring ways of producing more of a simple object based representation of the world which would be much easier for the recognition tasks to process. By the way this is one of those problems that sounds easy but is actually mind bendingly challenging. As mentioned Tesla is working on a neural network planner which would reduce path planning compute time significantly. Their core in-car NNs use high precision floating point but there is opportunity to use lower precision floating point and maybe going all the way down to 8 bit integer computations in certain cases. And these are only some broad areas that are being worked on. No doubt each individual NN and piece of code could use some optimization care and love. **Conclusions** All these words and I ve only given you a top level summary of what was presented at Tesla AI day. Tesla really opened their kimono and gave way way more details than written here at a fairly deep technical level. Indeed you actually had to be an AI researcher or programmer to truly understand everything that was said. Companies simply do not give deep technical roadmaps like this to the public. Obviously Tesla was trying to recruit AI researchers but even so exposing so much of their architecture was a real OG move. The subtext is that Tesla doesn t care if you try to copy them because by the time you re-create everything they will have advanced that much further ahead. The bottom line is that in my opinion Tesla can indeed deliver Full Self Driving with this architecture. When is always a tough thing to predict but it appears that all the pieces are in place and certainly we ve seen some pretty impressive FSD beta videos. | I ve always admired the way Tesla tips its hand knowing it s going to win the match anyway. Ultimate flex. | Great write up! | 71 | 2 | 8,845 |
pcgz6d | 536 | Layman s Explanation of Tesla AI Day This is my attempt to explain the technical information that was presented at Tesla AI Day. **Part 1: Overview** Tesla autopilot needs to be understood as a general purpose driving system that can in theory handle any driving situation in any location. This is opposed to many other self driving systems from Ford GM Mercedes etc. that rely on pre-defined high definition maps and geographically locked self driving areas. The Tesla system perceives the driving environment in real time through its eight cameras. The Tesla vision and car control system uses backpropagation trained neural networks in combination with complex C++ coded algorithms. A backpropagation trained neural network is the same kind of neural network that is currently used throughout the AI industry today. It is what powers voice assistants like Alexa and Siri Netflix recommendations and Apple s face recognition technology. These neural networks (NN) have some differences and some similarities with the way our brains work. Production systems will train such a NN using millions of examples that explicitly tells the NN what it is supposed to be learning from these examples. For instance a visual NN will be shown millions of images with each image also carrying one or more labels identifying what is in the image. To train a NN for complex scene analysis a person would draw lines around objects identifying what is in each drawn polygon. For example in the image below labels are assigned to each object you want the system to know about. & #x200B https: preview.redd.it qupi1qog6uj71.png?width=624& format=png& auto=webp& s=1dfd6af038d21371182187081282519f4478407f Once you have millions of *labeled* images you can train a NN on this data. Training is very compute intensive and is normally done on huge GPU clusters. It isn t unusual to take several days to train a large data set on a very large GPU cluster. After training you now have a NN with millions of internal parameters that were generated during training. You can then download this NN onto a typically much smaller inference processor and run the NN to do your scene analysis or whatever you are trying to do. Running a scene analysis will typically take a fraction of a second per image on an inference processor with a trained NN. Tesla of course built their own AI inference chip and each car has two of these. Now when Elon says each person using Autopilot is helping to train the NN this is only partially true. First your particular car isn t learning anything. It can only run the downloaded NN to understand visual scenes. What it *can* do though is upload 10 second long video snapshots when requested by Tesla. For example when Tesla wanted to improve detection of cut-ins or cars merging into your lane on the freeway they wrote a query that ran in each car in the Tesla fleet. The Tesla car computers would trigger whenever it saw a car moving into your lane and then upload these 10 second or so clips to the Tesla datacenter. After a few days Tesla would have say 10 000 video clips of this happening. These clips are auto labelled since they each contain video of the car being cut off on the freeway. Tesla then trains their NN on these labelled video clips. The NN picks out and learns clues from the video by itself like when a blinker is on or a car starts to drift over or its angle subtly changes. That s the fundamental power of a NN – with labelled data it can automatically without (much) human programming learn how to recognize patterns. So after retraining the NN Tesla will deploy the new NN in shadow mode into the Tesla fleet and ask the fleet to observe when cut-in predictions are incorrect. Either failing to predict that a car will cut-in or predicting that a car will cut in but it doesn t are flagged by the cars running in shadow mode. These exceptions are then uploaded again to the datacenter and a new NN is trained on this exception data. A newer NN is then deployed and run again in shadow mode. This cycle repeats for however many times it takes for the network to get really good at prediction at which time it is finally deployed to the fleet as a working update. When Tesla says its fleet is its secret weapon versus everyone else it isn t boasting. Tesla effectively has 1M+ mobile Tesla AI chips available at its disposal to do this kind of training. Thinking about it in these terms Tesla has by far the biggest AI supercomputer on the planet. OK with that as background let s get to how the Tesla NN actually works. **Part 2: Vision Architecture** This figure shows the overall architecture of the vision system. This is only for perception meaning understanding what you are seeing. Not shown is the driving and control system which will be discussed later. & #x200B https: preview.redd.it b91xjp417uj71.png?width=624& format=png& auto=webp& s=09a0951b3d84f52a594da5efb3da02a4a28ac5d2 This is very high level – each of these boxes will typically contain a few to a dozen neural nets each connected in various complex ways. All 8 cameras first undergo a calibration neural net which warps each camera into a standard image that should be the same across the entire fleet. When you first purchase the car Autopilot goes through a several day calibration exercise where it trains an in-car neural network to understand how each camera in the car is off baseline. Each camera could be slightly twisted or pointed too high skyward or whatever and the car needs to understand what these deviations from baseline are so that the image that is presented to the Autopilot neural network looks the same to that neural network across all cars. This is the only time a neural network is actually trained in the car itself. Once you get past this calibration (warping) stage standard low level features are extracted from the images to reduce or compress the huge amount of image data into something more manageable without losing any important information. The next step is to merge all eight cameras into one view while at the same time building a 3D vector space representation of the world. Creating a 3D vector space representation of a 2D flat image is something our human visual cortex does so well automatically that you probably don t even realize you are doing it. When you look at an image like this: & #x200B https: preview.redd.it y4p0mfy97uj71.png?width=624& format=png& auto=webp& s=c4b3b0c6f07f42319df261ed3da8e0c233a70a77 You just know that the red sign is further away than those three cars and the American flag is at about the same distance away as the car with the headlights and that car is well back of the white van. The Autopilot NN has to figure this out as well and the resulting output is a three dimensional model of the world with key features located in that 3D space. Tesla s 3D vector space model is a fairly dense raster with each point having a distance measurement away from the car. It is similar to the point cloud a LIDAR system would generate: & #x200B https: preview.redd.it rqxbcb5d7uj71.png?width=624& format=png& auto=webp& s=a8bd51b201897c4399654b6623cb709f62a782ad Tesla s 3D vector space additionally adds velocity to moving objects locates curbs driveable areas is in color and has a higher resolution. It is also quite a bit more sophisticated than a LIDAR plot since it makes a 3D image that includes occluded objects – for instance a pedestrian that is currently behind a car and can t be seen in the current video frame. The network tracks these occluded objects using a memory based video module described below. Note that Tesla s low level NN vision system is very sophisticated. Just like the human cortex these networks share information from the top level of the hierarchy to the lowest. Here s an example where you are trying to figure out what a 10x10 pixel image is (on the left). & #x200B https: preview.redd.it 40o5v2wg7uj71.png?width=624& format=png& auto=webp& s=a9c1440504008596388df813f454a60f969d8697 The NN knows (has learned) that the 10x10 blurry pixels are at the vanishing point of the image and thus it can infer they are a car s headlights. Once the camera fusion and 3-D vector space is created Tesla adds in time and location based memory. The example they gave is when you drive towards an intersection you might roll over lane markings indicating the leftmost lane is a turn lane. & #x200B https: preview.redd.it ms31wo9j7uj71.png?width=336& format=png& auto=webp& s=7f1304e1d0c1ae98a26288d97c3344c91dfd7383 By the time you reach the intersection it s been a couple of seconds when you passed over the left hand turn lane marker so there needs to be some kind of memory of these features as you pass them by. The vision engine will snapshot the extracted features it is seeing every short time internal or 1m of travel creating a list of recently seen visual clues. Again this is very similar to the way humans drive – we may not consciously remember that we rolled over a left hand turn marker but our own neural network does and uses that information to guide our driving. This video module is also used to keep track of occluded objects. For instance when you are driving on a multi lane freeway cars directly to the left or right of you two lanes over might be hidden by a car right beside you but they were visible three seconds earlier before a car got in the way. The video module allows the NN to remember where these cars were and likely still are and that information is critical for planning. This video module where Tesla adds in a running memory of recent features is very powerful and I m not aware of any other self driving system that does anything like this. Finally the output of this video network that is a combination of the current visual scene and recent visual clues projected onto a 3D vector space is then consumed by around 80 other neural networks that Tesla calls tasks . Each task does a very specific thing like locate and understand traffic lights or perceive traffic cones or see stop signs or identify cars and their velocities etc. The output of these tasks is high level semantic information like: in 30m there is a red traffic light or this car 30m in front of me is likely parked. **Part 3: Planning and Control** Now that the NN understands locations of all objects what they are how fast and in what direction they are moving what is road surface where the curbs are what the signal environment (traffic road signs) is and what recently happened now the autopilot must do three things. First it must predict what all the other moving objects are going to do in the next short while. Second it must plan out what it is going to do based on an overall plan (like following a GPS route) and third it has to tell the car what to do. This can get quite complicated. Let s explain using a simple example where the car is in the rightmost lane of a three lane road and needs to make a left turn up ahead while there are cars in the middle lane. To do this properly the car must merge in between the two cars in the center lane and then merge into the far left lane and do this without going too fast or too slow or with too much acceleration or deacceleration. Currently Tesla uses a search algorithm coded in C++ to figure this out. It essentially simulates a couple of thousand different scenarios in which the car and the other cars on the road all interact. It does this at a fairly coarse grained level and the numbers they gave is that the simulator search system could simulate search 2 500 different scenarios in 1.5 ms. All these simulations use physics based models meaning they are idealized representations of cars on roads in a simple road representation of lanes and dividers etc. At the end of this exercise the path planner has a rough plan for what the next 15 seconds of travel will be and at that point it creates a very detailed plan that exactly maps out the specific turning radius travel path and speed changes required to make the driving as smooth as possible. This too is done using a C++ search algorithm but uses a different technique that takes into account lateral acceleration lateral jerk collision risk traversal time and merges all this into a total cost function to minimize the total cost for the refined planned route. The example they showed to plan out the smooth path for 10 seconds of driving shows about 100 iterations through this search function. This planning function along with all the visual perception system before it happens every 27 ms (36 times a second). So autopilot is sensing and recreating plans 36 times a second to ensure that nothing is going to catch it unprepared for whatever weird crap happens around the car. Autopilot isn t omniscient and can t tell that the idiot driver you are merging in front of is rage texting a twitter response but it can notice more quickly that you can that said driver s car is on a collision course and autopilot will thus react accordingly. Tesla is working on a new planning algorithm that mostly uses a planning NN instead of hand coded C++ as is currently done. The benefit of a NN algorithm will probably be speed but it might provide some better plans as well. Oddly enough one of the toughest things to plan is navigating around a parking lot. Tesla showed how their NN planner in development would handle this task in much less time than their current planner. **Part 4: Training** OK I ve talked about how the various Tesla NNs work when perceiving the world and eventually planning to drive around it but how do you teach the NN? As I described in part 1 you need to give a NN millions of labeled examples for it to learn what you are trying to teach it. Tesla started off doing this the same way the rest of the industry does it by having humans draw polygons around features in images. This does not scale. Tesla soon created tools to label in their vector space that is an 8 camera stitched together 3D representation of the world. Label a curb in this enhanced view and now it is auto labeled in the corresponding visual image on maybe three cameras. They then realized that their fleet drives through the same intersection thousands of times so by tagging an intersection using GPS co-ordinates a single vector human space labelling effort could now auto label thousands of images taken during all sorts of weather conditions and time of day and angle of viewing. So in 3d vector space once you know a stoplight is a stoplight then thousands of future drives through the same intersection from multiple different directions time of day weather and lighting all can label the same stoplight as a stoplight automatically with no more human input. Tesla then added completely automatic auto labelling. A car s AI chip can only recognize so much but a 1 000 GPU cluster is much more powerful and doesn t have millisecond time constraints so such a cluster can be used to automatically label novel images. Tesla used this auto labelling capability to remove radar with 3 months of effort in early 2021. Part of the problem they had when removing radar was degraded video. For example when a passing snowplow dumps tons of snow onto the car occluding well everything. Tesla realized they needed to auto label poor visibility situations so they asked the Tesla fleet for examples of when the car NN had temporary zero visibility. They auto labeled 10 000 poor visibility videos in a week something Tesla said would have taken several months with humans. After retraining the visual NN with this batch of labelled poor visibility video the system was able to remember and predict where everything was in the scene as you go through temporary poor visibility similar to how humans handle such situations. **Using Simulations** Simulations or *creating* a 3D world like you would in a detailed video game is something that Tesla is starting to use mostly for edge cases. They showed examples of people or dogs running on a freeway a scene with hundreds of pedestrians or a new type of truck that no one s seen before (the Cybertruck!). Even the auto labeler has a hard time with hundreds of pedestrians as you might have in Hong Kong or NYC so creating a simulation where the system knows exactly where everyone is and how fast they are walking is a better solution to train with. They work really hard to make accurate simulations. They have to mimic what the camera will see in real world conditions. Lighting and ray tracing must be very accurate. Noise in road surfaces must be introduced and they even have a special NN used just to add noise and texture to generated images. Tesla now has thousands of unique vehicles pedestrians animals and props in their simulation engine. Each move or look real. They also have 2 000 miles of very diverse and unique roads. And when they want to create a scene the scene is most often created procedurally via computer algorithms as opposed to having an artist create the scene. They can ask for nighttime daytime raining snowing etc. Finally because they can automatically build whatever kind of visual world they want they now can use adversarial machine learning techniques where one computer system is trying to create a scene that will break the car s visual perception system and then this breakage can be used to train the vision system better and then it goes back into a closed loop training system. To say that Tesla s learning pipeline is next level is an understatement. It is now extremely sophisticated and is arguably the most powerful in the world. **DoJo** DoJo is Tesla s next generation training data center. Right now they make do with thousands of the current state of the art Nvidia A100 GPUs clustered together. Tesla thought they could do better so they custom designed their own AI training chip (not to be confused with the AI inference chip which is inside every Tesla car). The training chip is far more powerful and has been designed to work as a piece of a huge super computer cluster. I won t say much about DoJo but suffice it to say that it is world class in so many ways from packaging cooling power integration and huge communications bandwidth (easily 10x of current capabilities). Dojo is still being built I d guess it is 4-6 months away from being used in a production environment. When it does start getting used Tesla s productivity will increase – they ll basically be able to do more faster. **Part 5: Future Work & Conclusions** From watching this and other Tesla AI videos from the last two years you can tell that Tesla has been racing to get to a working FSD vision system. When Tesla releases their v10 FSD Beta (only weeks away 😀) it will be a great system but there are a lot of optimizations Tesla is working on that will be rolled out over the next year or so. Here are a few they talked about. You might have noticed that Tesla s vision system merges all eight cameras quite late in processing. You could do this earlier in the pipeline and potentially save a lot of in car processing time. The vision system produces a fairly dense 3D raster of world. The rest of the processing system (like those 80+ tasks) must then interpret this raster. Tesla is exploring ways of producing more of a simple object based representation of the world which would be much easier for the recognition tasks to process. By the way this is one of those problems that sounds easy but is actually mind bendingly challenging. As mentioned Tesla is working on a neural network planner which would reduce path planning compute time significantly. Their core in-car NNs use high precision floating point but there is opportunity to use lower precision floating point and maybe going all the way down to 8 bit integer computations in certain cases. And these are only some broad areas that are being worked on. No doubt each individual NN and piece of code could use some optimization care and love. **Conclusions** All these words and I ve only given you a top level summary of what was presented at Tesla AI day. Tesla really opened their kimono and gave way way more details than written here at a fairly deep technical level. Indeed you actually had to be an AI researcher or programmer to truly understand everything that was said. Companies simply do not give deep technical roadmaps like this to the public. Obviously Tesla was trying to recruit AI researchers but even so exposing so much of their architecture was a real OG move. The subtext is that Tesla doesn t care if you try to copy them because by the time you re-create everything they will have advanced that much further ahead. The bottom line is that in my opinion Tesla can indeed deliver Full Self Driving with this architecture. When is always a tough thing to predict but it appears that all the pieces are in place and certainly we ve seen some pretty impressive FSD beta videos. | I ve always admired the way Tesla tips its hand knowing it s going to win the match anyway. Ultimate flex. | This is great! Thank you! | 71 | 13 | 8,846 |
pcgz6d | 536 | Layman s Explanation of Tesla AI Day This is my attempt to explain the technical information that was presented at Tesla AI Day. **Part 1: Overview** Tesla autopilot needs to be understood as a general purpose driving system that can in theory handle any driving situation in any location. This is opposed to many other self driving systems from Ford GM Mercedes etc. that rely on pre-defined high definition maps and geographically locked self driving areas. The Tesla system perceives the driving environment in real time through its eight cameras. The Tesla vision and car control system uses backpropagation trained neural networks in combination with complex C++ coded algorithms. A backpropagation trained neural network is the same kind of neural network that is currently used throughout the AI industry today. It is what powers voice assistants like Alexa and Siri Netflix recommendations and Apple s face recognition technology. These neural networks (NN) have some differences and some similarities with the way our brains work. Production systems will train such a NN using millions of examples that explicitly tells the NN what it is supposed to be learning from these examples. For instance a visual NN will be shown millions of images with each image also carrying one or more labels identifying what is in the image. To train a NN for complex scene analysis a person would draw lines around objects identifying what is in each drawn polygon. For example in the image below labels are assigned to each object you want the system to know about. & #x200B https: preview.redd.it qupi1qog6uj71.png?width=624& format=png& auto=webp& s=1dfd6af038d21371182187081282519f4478407f Once you have millions of *labeled* images you can train a NN on this data. Training is very compute intensive and is normally done on huge GPU clusters. It isn t unusual to take several days to train a large data set on a very large GPU cluster. After training you now have a NN with millions of internal parameters that were generated during training. You can then download this NN onto a typically much smaller inference processor and run the NN to do your scene analysis or whatever you are trying to do. Running a scene analysis will typically take a fraction of a second per image on an inference processor with a trained NN. Tesla of course built their own AI inference chip and each car has two of these. Now when Elon says each person using Autopilot is helping to train the NN this is only partially true. First your particular car isn t learning anything. It can only run the downloaded NN to understand visual scenes. What it *can* do though is upload 10 second long video snapshots when requested by Tesla. For example when Tesla wanted to improve detection of cut-ins or cars merging into your lane on the freeway they wrote a query that ran in each car in the Tesla fleet. The Tesla car computers would trigger whenever it saw a car moving into your lane and then upload these 10 second or so clips to the Tesla datacenter. After a few days Tesla would have say 10 000 video clips of this happening. These clips are auto labelled since they each contain video of the car being cut off on the freeway. Tesla then trains their NN on these labelled video clips. The NN picks out and learns clues from the video by itself like when a blinker is on or a car starts to drift over or its angle subtly changes. That s the fundamental power of a NN – with labelled data it can automatically without (much) human programming learn how to recognize patterns. So after retraining the NN Tesla will deploy the new NN in shadow mode into the Tesla fleet and ask the fleet to observe when cut-in predictions are incorrect. Either failing to predict that a car will cut-in or predicting that a car will cut in but it doesn t are flagged by the cars running in shadow mode. These exceptions are then uploaded again to the datacenter and a new NN is trained on this exception data. A newer NN is then deployed and run again in shadow mode. This cycle repeats for however many times it takes for the network to get really good at prediction at which time it is finally deployed to the fleet as a working update. When Tesla says its fleet is its secret weapon versus everyone else it isn t boasting. Tesla effectively has 1M+ mobile Tesla AI chips available at its disposal to do this kind of training. Thinking about it in these terms Tesla has by far the biggest AI supercomputer on the planet. OK with that as background let s get to how the Tesla NN actually works. **Part 2: Vision Architecture** This figure shows the overall architecture of the vision system. This is only for perception meaning understanding what you are seeing. Not shown is the driving and control system which will be discussed later. & #x200B https: preview.redd.it b91xjp417uj71.png?width=624& format=png& auto=webp& s=09a0951b3d84f52a594da5efb3da02a4a28ac5d2 This is very high level – each of these boxes will typically contain a few to a dozen neural nets each connected in various complex ways. All 8 cameras first undergo a calibration neural net which warps each camera into a standard image that should be the same across the entire fleet. When you first purchase the car Autopilot goes through a several day calibration exercise where it trains an in-car neural network to understand how each camera in the car is off baseline. Each camera could be slightly twisted or pointed too high skyward or whatever and the car needs to understand what these deviations from baseline are so that the image that is presented to the Autopilot neural network looks the same to that neural network across all cars. This is the only time a neural network is actually trained in the car itself. Once you get past this calibration (warping) stage standard low level features are extracted from the images to reduce or compress the huge amount of image data into something more manageable without losing any important information. The next step is to merge all eight cameras into one view while at the same time building a 3D vector space representation of the world. Creating a 3D vector space representation of a 2D flat image is something our human visual cortex does so well automatically that you probably don t even realize you are doing it. When you look at an image like this: & #x200B https: preview.redd.it y4p0mfy97uj71.png?width=624& format=png& auto=webp& s=c4b3b0c6f07f42319df261ed3da8e0c233a70a77 You just know that the red sign is further away than those three cars and the American flag is at about the same distance away as the car with the headlights and that car is well back of the white van. The Autopilot NN has to figure this out as well and the resulting output is a three dimensional model of the world with key features located in that 3D space. Tesla s 3D vector space model is a fairly dense raster with each point having a distance measurement away from the car. It is similar to the point cloud a LIDAR system would generate: & #x200B https: preview.redd.it rqxbcb5d7uj71.png?width=624& format=png& auto=webp& s=a8bd51b201897c4399654b6623cb709f62a782ad Tesla s 3D vector space additionally adds velocity to moving objects locates curbs driveable areas is in color and has a higher resolution. It is also quite a bit more sophisticated than a LIDAR plot since it makes a 3D image that includes occluded objects – for instance a pedestrian that is currently behind a car and can t be seen in the current video frame. The network tracks these occluded objects using a memory based video module described below. Note that Tesla s low level NN vision system is very sophisticated. Just like the human cortex these networks share information from the top level of the hierarchy to the lowest. Here s an example where you are trying to figure out what a 10x10 pixel image is (on the left). & #x200B https: preview.redd.it 40o5v2wg7uj71.png?width=624& format=png& auto=webp& s=a9c1440504008596388df813f454a60f969d8697 The NN knows (has learned) that the 10x10 blurry pixels are at the vanishing point of the image and thus it can infer they are a car s headlights. Once the camera fusion and 3-D vector space is created Tesla adds in time and location based memory. The example they gave is when you drive towards an intersection you might roll over lane markings indicating the leftmost lane is a turn lane. & #x200B https: preview.redd.it ms31wo9j7uj71.png?width=336& format=png& auto=webp& s=7f1304e1d0c1ae98a26288d97c3344c91dfd7383 By the time you reach the intersection it s been a couple of seconds when you passed over the left hand turn lane marker so there needs to be some kind of memory of these features as you pass them by. The vision engine will snapshot the extracted features it is seeing every short time internal or 1m of travel creating a list of recently seen visual clues. Again this is very similar to the way humans drive – we may not consciously remember that we rolled over a left hand turn marker but our own neural network does and uses that information to guide our driving. This video module is also used to keep track of occluded objects. For instance when you are driving on a multi lane freeway cars directly to the left or right of you two lanes over might be hidden by a car right beside you but they were visible three seconds earlier before a car got in the way. The video module allows the NN to remember where these cars were and likely still are and that information is critical for planning. This video module where Tesla adds in a running memory of recent features is very powerful and I m not aware of any other self driving system that does anything like this. Finally the output of this video network that is a combination of the current visual scene and recent visual clues projected onto a 3D vector space is then consumed by around 80 other neural networks that Tesla calls tasks . Each task does a very specific thing like locate and understand traffic lights or perceive traffic cones or see stop signs or identify cars and their velocities etc. The output of these tasks is high level semantic information like: in 30m there is a red traffic light or this car 30m in front of me is likely parked. **Part 3: Planning and Control** Now that the NN understands locations of all objects what they are how fast and in what direction they are moving what is road surface where the curbs are what the signal environment (traffic road signs) is and what recently happened now the autopilot must do three things. First it must predict what all the other moving objects are going to do in the next short while. Second it must plan out what it is going to do based on an overall plan (like following a GPS route) and third it has to tell the car what to do. This can get quite complicated. Let s explain using a simple example where the car is in the rightmost lane of a three lane road and needs to make a left turn up ahead while there are cars in the middle lane. To do this properly the car must merge in between the two cars in the center lane and then merge into the far left lane and do this without going too fast or too slow or with too much acceleration or deacceleration. Currently Tesla uses a search algorithm coded in C++ to figure this out. It essentially simulates a couple of thousand different scenarios in which the car and the other cars on the road all interact. It does this at a fairly coarse grained level and the numbers they gave is that the simulator search system could simulate search 2 500 different scenarios in 1.5 ms. All these simulations use physics based models meaning they are idealized representations of cars on roads in a simple road representation of lanes and dividers etc. At the end of this exercise the path planner has a rough plan for what the next 15 seconds of travel will be and at that point it creates a very detailed plan that exactly maps out the specific turning radius travel path and speed changes required to make the driving as smooth as possible. This too is done using a C++ search algorithm but uses a different technique that takes into account lateral acceleration lateral jerk collision risk traversal time and merges all this into a total cost function to minimize the total cost for the refined planned route. The example they showed to plan out the smooth path for 10 seconds of driving shows about 100 iterations through this search function. This planning function along with all the visual perception system before it happens every 27 ms (36 times a second). So autopilot is sensing and recreating plans 36 times a second to ensure that nothing is going to catch it unprepared for whatever weird crap happens around the car. Autopilot isn t omniscient and can t tell that the idiot driver you are merging in front of is rage texting a twitter response but it can notice more quickly that you can that said driver s car is on a collision course and autopilot will thus react accordingly. Tesla is working on a new planning algorithm that mostly uses a planning NN instead of hand coded C++ as is currently done. The benefit of a NN algorithm will probably be speed but it might provide some better plans as well. Oddly enough one of the toughest things to plan is navigating around a parking lot. Tesla showed how their NN planner in development would handle this task in much less time than their current planner. **Part 4: Training** OK I ve talked about how the various Tesla NNs work when perceiving the world and eventually planning to drive around it but how do you teach the NN? As I described in part 1 you need to give a NN millions of labeled examples for it to learn what you are trying to teach it. Tesla started off doing this the same way the rest of the industry does it by having humans draw polygons around features in images. This does not scale. Tesla soon created tools to label in their vector space that is an 8 camera stitched together 3D representation of the world. Label a curb in this enhanced view and now it is auto labeled in the corresponding visual image on maybe three cameras. They then realized that their fleet drives through the same intersection thousands of times so by tagging an intersection using GPS co-ordinates a single vector human space labelling effort could now auto label thousands of images taken during all sorts of weather conditions and time of day and angle of viewing. So in 3d vector space once you know a stoplight is a stoplight then thousands of future drives through the same intersection from multiple different directions time of day weather and lighting all can label the same stoplight as a stoplight automatically with no more human input. Tesla then added completely automatic auto labelling. A car s AI chip can only recognize so much but a 1 000 GPU cluster is much more powerful and doesn t have millisecond time constraints so such a cluster can be used to automatically label novel images. Tesla used this auto labelling capability to remove radar with 3 months of effort in early 2021. Part of the problem they had when removing radar was degraded video. For example when a passing snowplow dumps tons of snow onto the car occluding well everything. Tesla realized they needed to auto label poor visibility situations so they asked the Tesla fleet for examples of when the car NN had temporary zero visibility. They auto labeled 10 000 poor visibility videos in a week something Tesla said would have taken several months with humans. After retraining the visual NN with this batch of labelled poor visibility video the system was able to remember and predict where everything was in the scene as you go through temporary poor visibility similar to how humans handle such situations. **Using Simulations** Simulations or *creating* a 3D world like you would in a detailed video game is something that Tesla is starting to use mostly for edge cases. They showed examples of people or dogs running on a freeway a scene with hundreds of pedestrians or a new type of truck that no one s seen before (the Cybertruck!). Even the auto labeler has a hard time with hundreds of pedestrians as you might have in Hong Kong or NYC so creating a simulation where the system knows exactly where everyone is and how fast they are walking is a better solution to train with. They work really hard to make accurate simulations. They have to mimic what the camera will see in real world conditions. Lighting and ray tracing must be very accurate. Noise in road surfaces must be introduced and they even have a special NN used just to add noise and texture to generated images. Tesla now has thousands of unique vehicles pedestrians animals and props in their simulation engine. Each move or look real. They also have 2 000 miles of very diverse and unique roads. And when they want to create a scene the scene is most often created procedurally via computer algorithms as opposed to having an artist create the scene. They can ask for nighttime daytime raining snowing etc. Finally because they can automatically build whatever kind of visual world they want they now can use adversarial machine learning techniques where one computer system is trying to create a scene that will break the car s visual perception system and then this breakage can be used to train the vision system better and then it goes back into a closed loop training system. To say that Tesla s learning pipeline is next level is an understatement. It is now extremely sophisticated and is arguably the most powerful in the world. **DoJo** DoJo is Tesla s next generation training data center. Right now they make do with thousands of the current state of the art Nvidia A100 GPUs clustered together. Tesla thought they could do better so they custom designed their own AI training chip (not to be confused with the AI inference chip which is inside every Tesla car). The training chip is far more powerful and has been designed to work as a piece of a huge super computer cluster. I won t say much about DoJo but suffice it to say that it is world class in so many ways from packaging cooling power integration and huge communications bandwidth (easily 10x of current capabilities). Dojo is still being built I d guess it is 4-6 months away from being used in a production environment. When it does start getting used Tesla s productivity will increase – they ll basically be able to do more faster. **Part 5: Future Work & Conclusions** From watching this and other Tesla AI videos from the last two years you can tell that Tesla has been racing to get to a working FSD vision system. When Tesla releases their v10 FSD Beta (only weeks away 😀) it will be a great system but there are a lot of optimizations Tesla is working on that will be rolled out over the next year or so. Here are a few they talked about. You might have noticed that Tesla s vision system merges all eight cameras quite late in processing. You could do this earlier in the pipeline and potentially save a lot of in car processing time. The vision system produces a fairly dense 3D raster of world. The rest of the processing system (like those 80+ tasks) must then interpret this raster. Tesla is exploring ways of producing more of a simple object based representation of the world which would be much easier for the recognition tasks to process. By the way this is one of those problems that sounds easy but is actually mind bendingly challenging. As mentioned Tesla is working on a neural network planner which would reduce path planning compute time significantly. Their core in-car NNs use high precision floating point but there is opportunity to use lower precision floating point and maybe going all the way down to 8 bit integer computations in certain cases. And these are only some broad areas that are being worked on. No doubt each individual NN and piece of code could use some optimization care and love. **Conclusions** All these words and I ve only given you a top level summary of what was presented at Tesla AI day. Tesla really opened their kimono and gave way way more details than written here at a fairly deep technical level. Indeed you actually had to be an AI researcher or programmer to truly understand everything that was said. Companies simply do not give deep technical roadmaps like this to the public. Obviously Tesla was trying to recruit AI researchers but even so exposing so much of their architecture was a real OG move. The subtext is that Tesla doesn t care if you try to copy them because by the time you re-create everything they will have advanced that much further ahead. The bottom line is that in my opinion Tesla can indeed deliver Full Self Driving with this architecture. When is always a tough thing to predict but it appears that all the pieces are in place and certainly we ve seen some pretty impressive FSD beta videos. | Really great write up that is understandable (mostly) to plebs like me. Thank you! | Great write up! | 39 | 2 | 8,847 |
pedqvf | 252 | LFP Model 3 SR+ battery buffer apparently opened up giving it 6% more range According to Bjørn Nyland s latest video Tesla has started opening up the LFP battery buffer increasing range of the LFP packs by 6% https: youtu.be jYsSza_bd4s Not sure which software version this is in but the 0% the car reports should now be closer to the actual battery value. Gotta love OTA. | Damn these have almost as much range as my 2020 LR now assuming my BMS is accurate. Started at 322 miles car shows 290 max now. | At the same time the LR battery was 77.8 Kwh usable when new in 2018-2019 and now is 73.x Kwh. On this path SR+ and LR will have the same battery in 3-4 years. LOL. | 63 | 16 | 8,848 |
pedqvf | 252 | LFP Model 3 SR+ battery buffer apparently opened up giving it 6% more range According to Bjørn Nyland s latest video Tesla has started opening up the LFP battery buffer increasing range of the LFP packs by 6% https: youtu.be jYsSza_bd4s Not sure which software version this is in but the 0% the car reports should now be closer to the actual battery value. Gotta love OTA. | Damn these have almost as much range as my 2020 LR now assuming my BMS is accurate. Started at 322 miles car shows 290 max now. | Sweet schedule to get mine on the 7th | 63 | 24 | 8,849 |
pez51b | 26 | Charging Tesla Model 3 with 480V Can you charge a Tesla Model 3 with 480v? I am buying my first Tesla in a few weeks and have 480v available at my place of work (I know very little about electrical). Advantages and disadvantages? | North American Tesla vehicles do not have the option of charging off anything but 120 240v single phase or DC fast charging (there are only 2 charging pins). The onboard charger does not support 480v AC. | 480V? Which country has that voltage? | 45 | 3 | 8,850 |
pf54xh | 431 | In New Orleans without power. Can someone post the status of superchargers in the surrounding area? This will decide where I can evacuate to. AT& T has been in and out down. Can t check live status from Tesla screen. | Metairie LA and Slidell LA are the only ones reported down right now. | I m not sure if the website reports out of service chargers or not but they look like they are online. https: imgur.com a 1mSOQzy | 73 | 12 | 8,851 |
pgre93 | 132 | Major damage from hurricane Ida in NJ : Tesla Paramus service center roof collapsed! As stated we just got a boatload of rain here in the northeast. My car was just in for service and I got a call this afternoon saying their location will be closed for “several months” to fix the damage. Don t bother with paramus because it looks like white plains will be your closest option if you don t want to go into the city | Good thing I picked up my car the day before! | What about Springfield? | 42 | 5 | 8,852 |
phhvoy | 376 | Feature Request: Avoid Highways in navigation Amazed that this is STILL not an option in the navigation now with FSD beta nearly ready to go to a wider user base it would seem even more useful to add this as an option. | I want it to show multiple options like Google Maps but in addition to displaying time estimates show my estimated battery level on arrival. There are times where I ve got time to kill and would gladly save the juice. | I don t understand this do you mean toll routes? What s wrong with going onto the highway they are in place to take you to your destination faster... | 41 | 5 | 8,853 |
phhvoy | 376 | Feature Request: Avoid Highways in navigation Amazed that this is STILL not an option in the navigation now with FSD beta nearly ready to go to a wider user base it would seem even more useful to add this as an option. | I want it to show multiple options like Google Maps but in addition to displaying time estimates show my estimated battery level on arrival. There are times where I ve got time to kill and would gladly save the juice. | Would be great for my student driver | 41 | 5 | 8,854 |
phhvoy | 376 | Feature Request: Avoid Highways in navigation Amazed that this is STILL not an option in the navigation now with FSD beta nearly ready to go to a wider user base it would seem even more useful to add this as an option. | I want it to show multiple options like Google Maps but in addition to displaying time estimates show my estimated battery level on arrival. There are times where I ve got time to kill and would gladly save the juice. | Analyze the road layout and terrain point clouds to locate the most beautiful views and plot me a route that takes me through these vistas. The journey is more important than the destination. Take the road less traveled avoid roads you have already been on. | 41 | 6 | 8,855 |
pib9ii | 2,075 | Tesla as an evacuation vehicle - better than expected We used our 2018 Model X 75D as our evacuation vehicle for Ida. I wasn t sure how well it would go but now I will never evacuate without a Tesla. Evacuation traffic - Charge is amazing - it will go for days in stop and go traffic. We usually make it to the supercharger with ~7% left after going 80 the whole way. After 4 hours of traffic we made it with 30% Supercharging - no lines at all probably an advantage that I am in the deep south where people still think that it is a gimmick so we don t have many Teslas about. I came back to the city early with it and brought gas and generators for people. I have a trailer hitch carrier and I know there are pictures of me going around as a meme. But because I had basically unlimited energy with a supercharger online 10 miles away I had no issues driving around and giving out gas and generators and wasn t wasting gas to do it. 9000w Gas generator will charge the tesla without issues. I tried it and it worked only because I wanted to know. Didn t actually need to charge it with a generator. Overall 10 10 and goes well with rice. | If the city was without power how was the supercharger online and able to charge up your car? | What was your miles per hour charge rate with that 9000 watt generator? Was it 120V or 208V? Would you have charged faster using a standard 15A 120V outlet? | 137 | 22 | 8,856 |
pib9ii | 2,075 | Tesla as an evacuation vehicle - better than expected We used our 2018 Model X 75D as our evacuation vehicle for Ida. I wasn t sure how well it would go but now I will never evacuate without a Tesla. Evacuation traffic - Charge is amazing - it will go for days in stop and go traffic. We usually make it to the supercharger with ~7% left after going 80 the whole way. After 4 hours of traffic we made it with 30% Supercharging - no lines at all probably an advantage that I am in the deep south where people still think that it is a gimmick so we don t have many Teslas about. I came back to the city early with it and brought gas and generators for people. I have a trailer hitch carrier and I know there are pictures of me going around as a meme. But because I had basically unlimited energy with a supercharger online 10 miles away I had no issues driving around and giving out gas and generators and wasn t wasting gas to do it. 9000w Gas generator will charge the tesla without issues. I tried it and it worked only because I wanted to know. Didn t actually need to charge it with a generator. Overall 10 10 and goes well with rice. | several years ago I saw people evacuating hurricane the traffic was huge and all gas stations shut down -people running out of gas just caught in traffic while EVs won t. Thanks for your great initiative -hope people learn something good about EVs. | are you the guy with the airstream? | 62 | 2 | 8,857 |
pib9ii | 2,075 | Tesla as an evacuation vehicle - better than expected We used our 2018 Model X 75D as our evacuation vehicle for Ida. I wasn t sure how well it would go but now I will never evacuate without a Tesla. Evacuation traffic - Charge is amazing - it will go for days in stop and go traffic. We usually make it to the supercharger with ~7% left after going 80 the whole way. After 4 hours of traffic we made it with 30% Supercharging - no lines at all probably an advantage that I am in the deep south where people still think that it is a gimmick so we don t have many Teslas about. I came back to the city early with it and brought gas and generators for people. I have a trailer hitch carrier and I know there are pictures of me going around as a meme. But because I had basically unlimited energy with a supercharger online 10 miles away I had no issues driving around and giving out gas and generators and wasn t wasting gas to do it. 9000w Gas generator will charge the tesla without issues. I tried it and it worked only because I wanted to know. Didn t actually need to charge it with a generator. Overall 10 10 and goes well with rice. | several years ago I saw people evacuating hurricane the traffic was huge and all gas stations shut down -people running out of gas just caught in traffic while EVs won t. Thanks for your great initiative -hope people learn something good about EVs. | I am in the deep south At this point the entire rest of this post was read with the little nicky voice. Valerie: Where are you from? Nicky: I m from the south. The Deep South. *snickers* | 62 | 3 | 8,858 |
pid9pl | 138 | Feature Request: Lane Centering We have a lot of two lane highways in the midwest and using autopilot on them can get dangerous due to the car trying to center itself when a semi passes by. I haven t seen a ton of beta videos but it d be great that when the branches merge we could have an option to center the vehicle about 8 inches to the right similar to how most humans drive. | Instead how about generalized path planning logic of just: _Maximize distance between self and other vehicles while [as possible] remaining within lane markers_ When an oncoming truck is seen the path would adjust to the right so to provide a stand-off buffer | +1 maybe let the steering wheel buttons configure this or maybe even let you control it by applying a slight force in either direction to the steering wheel. I hate being the asshole hogging the center lane when motorcyclists are trying to lane split (perfectly legal) on my right. This makes us Tesla drivers look like assholes unless we take over every time a motorcyclist gets near. | 74 | 4 | 8,859 |
pid9pl | 138 | Feature Request: Lane Centering We have a lot of two lane highways in the midwest and using autopilot on them can get dangerous due to the car trying to center itself when a semi passes by. I haven t seen a ton of beta videos but it d be great that when the branches merge we could have an option to center the vehicle about 8 inches to the right similar to how most humans drive. | Instead how about generalized path planning logic of just: _Maximize distance between self and other vehicles while [as possible] remaining within lane markers_ When an oncoming truck is seen the path would adjust to the right so to provide a stand-off buffer | I would love this!!! | 74 | 6 | 8,860 |
pid9pl | 138 | Feature Request: Lane Centering We have a lot of two lane highways in the midwest and using autopilot on them can get dangerous due to the car trying to center itself when a semi passes by. I haven t seen a ton of beta videos but it d be great that when the branches merge we could have an option to center the vehicle about 8 inches to the right similar to how most humans drive. | Instead how about generalized path planning logic of just: _Maximize distance between self and other vehicles while [as possible] remaining within lane markers_ When an oncoming truck is seen the path would adjust to the right so to provide a stand-off buffer | yes like hug lane marker option i always disable AP when a semi passes by | 74 | 9 | 8,861 |
pidzm6 | 39 | Replacing my Leaf with a Tesla can I reuse my L2 home charging setup? I m replacing my leaf with a model Y. I currently have a juice box L2 charger (50A) that I use. (Nema plug) I really want to reuse this setup for the Tesla. a) Is there an adapter I can use with the juice box for the tesla? b) Can I get a tesla charger that reuses the existing Nema 50A plug? (Rather not wire in the Tesla charger) Note the juice box is set to only charge at specific times based on my electrical rates. I don t just want to use the mobile charger at home as I want the house charger to be responsible for the times it is enabled.... not the car. | Purchase an extra J1772 adapter. Leave one at home for car charger use and keep one in the car always. You will thank me later. | You will be good to go- Tesla includes a J1772-> Tesla adapter with the car so you ll just need to use the J1772 on your Juice Box and charge normally. (Note that the Y will max out at 32amps on a wall charger I believe though others can correct me if I m wrong.) | 60 | 2 | 8,862 |
pidzm6 | 39 | Replacing my Leaf with a Tesla can I reuse my L2 home charging setup? I m replacing my leaf with a model Y. I currently have a juice box L2 charger (50A) that I use. (Nema plug) I really want to reuse this setup for the Tesla. a) Is there an adapter I can use with the juice box for the tesla? b) Can I get a tesla charger that reuses the existing Nema 50A plug? (Rather not wire in the Tesla charger) Note the juice box is set to only charge at specific times based on my electrical rates. I don t just want to use the mobile charger at home as I want the house charger to be responsible for the times it is enabled.... not the car. | Purchase an extra J1772 adapter. Leave one at home for car charger use and keep one in the car always. You will thank me later. | Quick warning: when you pull out the juice+j1772 adapter keep them together. It s in the owners manual somewhere. I can find it if needed. Slightly awkward but totally doable. Or just buy the $35 14-50 adapter. | 60 | 3 | 8,863 |
pidzm6 | 39 | Replacing my Leaf with a Tesla can I reuse my L2 home charging setup? I m replacing my leaf with a model Y. I currently have a juice box L2 charger (50A) that I use. (Nema plug) I really want to reuse this setup for the Tesla. a) Is there an adapter I can use with the juice box for the tesla? b) Can I get a tesla charger that reuses the existing Nema 50A plug? (Rather not wire in the Tesla charger) Note the juice box is set to only charge at specific times based on my electrical rates. I don t just want to use the mobile charger at home as I want the house charger to be responsible for the times it is enabled.... not the car. | Purchase an extra J1772 adapter. Leave one at home for car charger use and keep one in the car always. You will thank me later. | I do want to ask why you want to use the Juice box and not the car for charge times. A good reason to use the car is that if you have a standard commute it will precondition the cabin and battery before you leave. But yes you can use any standard J1772. | 60 | 5 | 8,864 |
pin53x | 39 | Is it worth it to buy a Model S Plaid vs. the Long Range just for the ludicrous speed 1 second-faster acceleration speed? Can you tell the difference? I took a test drive of a Model S P-100D and one thing that sold me on the car was the acceleration sped when you floor it. Can one tell the difference between the current Plaid and Long Range in this regard? | Have the long range. The acceleration is still insane. The power it doesn t die I just keeps pulling. My buddy has a 2017 P100D I took him by .37 seconds in the 1 4 mile. He was quicker 0-60 but the LR caught him around the 100 mph mark and passed him. You still get kicked off the track in the LR going sub 11. 10.7-10.9 @ 129-130mph | What is the fastest car you have owned? | 55 | 4 | 8,865 |
pin53x | 39 | Is it worth it to buy a Model S Plaid vs. the Long Range just for the ludicrous speed 1 second-faster acceleration speed? Can you tell the difference? I took a test drive of a Model S P-100D and one thing that sold me on the car was the acceleration sped when you floor it. Can one tell the difference between the current Plaid and Long Range in this regard? | Have the long range. The acceleration is still insane. The power it doesn t die I just keeps pulling. My buddy has a 2017 P100D I took him by .37 seconds in the 1 4 mile. He was quicker 0-60 but the LR caught him around the 100 mph mark and passed him. You still get kicked off the track in the LR going sub 11. 10.7-10.9 @ 129-130mph | Seconds don t matter. Percentage faster does. (10s to 9s (11%) is not much but 3s to 2s (50%) is huge) So hell yes you can feel it. And honestly it s not comfortable. | 55 | 12 | 8,866 |
pin53x | 39 | Is it worth it to buy a Model S Plaid vs. the Long Range just for the ludicrous speed 1 second-faster acceleration speed? Can you tell the difference? I took a test drive of a Model S P-100D and one thing that sold me on the car was the acceleration sped when you floor it. Can one tell the difference between the current Plaid and Long Range in this regard? | Just so you know it s not 1 second difference. 2 seconds with rollout subtracted vs 3 seconds without rollout subtracted. It s closer to a 0.75 second difference and while it is still noticeable the 3 second 0-60 is absolutely insane already. | What is the fastest car you have owned? | 40 | 4 | 8,867 |
pjml5k | 88 | Feature Request Megathread Hey Everyone! If you could try to format feature requests by model if needed with a small description and scenario. Also while trying to keep it realistic within the software realm and currently known hardware realm. These will post every 2 weeks. | Remote sentry camera viewing from App. | Winter mode: Reduced regen even 50 50 split front and rear motor chill mode. | 284 | 28 | 8,868 |
pjml5k | 88 | Feature Request Megathread Hey Everyone! If you could try to format feature requests by model if needed with a small description and scenario. Also while trying to keep it realistic within the software realm and currently known hardware realm. These will post every 2 weeks. | Remote sentry camera viewing from App. | Tesla Model 3 (probably Y too) Earlier blind spot warning improvements over existing late blind-spot collision warnings * auto-zoom the driver status animation to show the same side of the car as the turn signal. The existing red car is too small to see in peripheral vision. * flash the entire driver status section area red and give audible alerts immediately when the turn signal is engaged and there is a car in the blind spot. * The existing blind spot collision alert warns too late and you have to be extremely close and moving towards a car before the collision warning triggers | 284 | 70 | 8,869 |
pjml5k | 88 | Feature Request Megathread Hey Everyone! If you could try to format feature requests by model if needed with a small description and scenario. Also while trying to keep it realistic within the software realm and currently known hardware realm. These will post every 2 weeks. | Remote sentry camera viewing from App. | CarPlay and Android auto. The MachE uses it in much the same way Tesla should (fully optional) and showcases how flexible the UI can be. | 284 | 75 | 8,870 |
pjo09q | 53 | Bought my first Tesla! Now to figure out home charging.. thoughts on my situation? I live in an apartment which has charging set up so I m not too worried about that. I do visit my folks about 150 miles away from me for the weekend a few times a month. They don t have any L2 chargers in their garage. They do however have an unused 14-50 charger about 5ft inside of the garage door leading into the house. This is in their mudroom which is set up with a W D hookup. I m considering just using that outlet. But need to figure out how I can run the cable through from the mudroom to the car while maintaining insulation. Best I ve come up with is a dog door for the garage door (interior entrance to then home in the garage). Have you had this issue? Any ideas on how to solution? They re in the Midwest so need to keep insulation in mind. | If you really are visiting for a full weekend you shouldn t have any issues charging over 110 for the duration of your stay. If you re fully charged when you leave then you should be arriving at their place at maybe 20 30% SOC (just guessing your model wasn t mentioned and since you said Midwest factor in the cold-weather losses). You could then plug in to 110 for a decent amount of time and recoup a lot of the losses before you leave at the end of the weekend. | I would imagine buy a heavy duty 14-50 extension cord and run that to the car? | 54 | 7 | 8,871 |
pjo09q | 53 | Bought my first Tesla! Now to figure out home charging.. thoughts on my situation? I live in an apartment which has charging set up so I m not too worried about that. I do visit my folks about 150 miles away from me for the weekend a few times a month. They don t have any L2 chargers in their garage. They do however have an unused 14-50 charger about 5ft inside of the garage door leading into the house. This is in their mudroom which is set up with a W D hookup. I m considering just using that outlet. But need to figure out how I can run the cable through from the mudroom to the car while maintaining insulation. Best I ve come up with is a dog door for the garage door (interior entrance to then home in the garage). Have you had this issue? Any ideas on how to solution? They re in the Midwest so need to keep insulation in mind. | If you really are visiting for a full weekend you shouldn t have any issues charging over 110 for the duration of your stay. If you re fully charged when you leave then you should be arriving at their place at maybe 20 30% SOC (just guessing your model wasn t mentioned and since you said Midwest factor in the cold-weather losses). You could then plug in to 110 for a decent amount of time and recoup a lot of the losses before you leave at the end of the weekend. | If the electrical box is in the garage or outside shouldn t cost much to install another socket near it where you can plug in while there. Mine cost $180 for about 7ft from electrical box in Texas. | 54 | 7 | 8,872 |
pjo09q | 53 | Bought my first Tesla! Now to figure out home charging.. thoughts on my situation? I live in an apartment which has charging set up so I m not too worried about that. I do visit my folks about 150 miles away from me for the weekend a few times a month. They don t have any L2 chargers in their garage. They do however have an unused 14-50 charger about 5ft inside of the garage door leading into the house. This is in their mudroom which is set up with a W D hookup. I m considering just using that outlet. But need to figure out how I can run the cable through from the mudroom to the car while maintaining insulation. Best I ve come up with is a dog door for the garage door (interior entrance to then home in the garage). Have you had this issue? Any ideas on how to solution? They re in the Midwest so need to keep insulation in mind. | If you really are visiting for a full weekend you shouldn t have any issues charging over 110 for the duration of your stay. If you re fully charged when you leave then you should be arriving at their place at maybe 20 30% SOC (just guessing your model wasn t mentioned and since you said Midwest factor in the cold-weather losses). You could then plug in to 110 for a decent amount of time and recoup a lot of the losses before you leave at the end of the weekend. | Maybe have an electrician move that unused outlet to the garage? If it s only 5ft inside the door shouldn t be that big of a deal. | 54 | 11 | 8,873 |
pk1z1n | 115 | Model Y-1 Year review I ve had my Tesla Model Y for almost 1 year picked it up mid September 2020 and I ve put 11 250 miles on it. I figured some of y all may be interested in hearing my thoughts. Let s start with the bad about the Model Y. First the suspension. The Model Y is a very firm vehicle it s not like a cushion or a pillow ride like some air suspension vehicles have. My friend has a Q8 which is way better than my Model Y. Another bad is the road-trip ability charging. The supercharger network is praised upon by many people transitioning to Tesla vehicles but in my experience it s been a mixed bag. I never felt like I would run out of range and always made it to my destination supercharger with at least 10% battery. Supercharging is annoying. I made a trip to Houston and back in my Model Y and there are 3 charging stops along the way. The way it s mapped you have 2 options. If you stop at the first charger (Corsicana TX) you would have to stop at the 3rd Charger (Huntsville TX) otherwise you wouldn t make it. You may be thinking ok just go to the charger in the middle and have one-stop. That s even worse because Tesla only put 4 stalls at that location. On the way to Houston I had 4 cars AHEAD of me. I waited 30 min just to get a spot it was fine 25 min and I d be on my way. I was kinda annoyed because a trip that takes 4 hrs 30 took close to 5 and a half hours pretty much. On the way back I figured I d go to the outer two chargers guess what happened another wait at both. The first one was a 15-minute wait then a 10-minute charge. The second one was a 10-minute wait with a 10 min charge. I guess a pro of taking the Tesla vs my Lexus was the charging was free I got 2 000 free supercharging miles when I bought my vehicle. The big topic with Tesla though is Build quality. Oh boy build quality is very inconsistent with Tesla. Originally I had a VIN for my vehicle which I was supposed to take delivery mid-august. The car got to the Plano Service center for delivery when they realized this car got issues. First it started with a cracked windshield from transportation didn t really care delivery was delayed 1 day. The next day (supposed to be the delivery day) I get a call the vehicle has paint bubbles and needs to go to the body shop it ll be another week but they put me into a Model X loaner. The car got back to the body shop then it needed to back because the hood had a few bubbles and the dash needed to be replaced because of some scratching. I actually stopped by the Tesla service center to see the car and its issues I probably shouldn t have but I didn t really care because I ve already paid for the car that I didn t have. (you are required to pay for the car in Texas before delivery due to Texas laws and not giving Tesla a sales license). I saw the scratch and the paint bubbles I thought to myself I m spending a lot on a car and it s not good quality and its been to the body shop twice do I want this VIN. The answer was No. I got a regional sales manager involved who put me into a new vin (car I currently own). It took an additional week and the vehicle was flawless but it s annoying and stupid I had to go through this process. They gave me $2 000 off the car so I guess they made up for it. Another stupid con is with 8 cameras I really would ve thought a 360 camera would be possible but I guess it isn t. Alright enough with the cons let s get into the pros and my likes. Gotta start off with acceleration. Even though my car is the Long Range AWD version and goes 0-60 in 4.8 it feels insane from the stop. Super quick and gives me a giggle and a smile every time I do it. The funniest is when you have passengers. I personally find the 30mph-85mph to be even more insane. I think it accelerates faster from 30 than from 0. (haven t really gone over 85) Another pro of the car is the technology software updates. I love that my car gets a software update. The infotainment software in many cars changes frequently but in the Model Y every car gets software updates. The Model Y I bought a year ago has the same software as brand new cars. Over the last year I ve gotten new features and the UI has been revised a little in December 2020. Another pro is the seat material The seats are super soft and comfy. They really feel nice. A big discussion with Tesla is autopilot. I have Basic Autopilot I do not have the fsd crap and I m glad I don t. The basic autopilot keeps me in my lane which is good enough for me. I had a loaner Model 3 while mine was getting an A C filter change last week that once had FSD all it gave me (that was useful) was lane changing. For $10k I don t have any issues changing lanes myself. Maybe when I go on a road trip I ll subscribe to FSD for $200 month. I ve come to really like Regenerative braking. One pedal driving is amazing. You get used to it after a few hours days but once you get used to it you feel it s amazing. I like home charging when I am at home I plug in every night so I have a full tank every day. It s very convenient. Since on the topic of gas-saving let s talk about my Gas Savings . In my 11 000 miles I have spent roughly $290 on home charging. I m going to say my 2013 Lexus GS350 gets 25MPG. If you take 11k and divide by 25MPG you get 440. I would have used 440 gallons on the Lexus. 440 gallons x premium gas cost (3.4 in Dallas) you get $1 496. 1 496-290 is a saving of $1 206. If you drive a ton having an EV is super cost-effective. I ve also found the cargo room is really good between the Front trunk and trunk there is a lot of room. The ride height is nice and the rear-seat legroom is very roomy way bigger and more spacious than the Model 3. The question is would I do this purchase again knowing what I know now? Yes! I love the way it drives and the tech is phenomenal. The downsides are a small price to pay for the fun drive and great tech. Tesla still has aways to go with quality fit and finish. I drove the mustang mach e didn t like it as much as my Model Y though the Mach E was great. | Please learn to use paragraphs | I bought a Volvo years ago that was handed over to me with some obvious scratches on some controls on the dash. They didn t say a word about it. I had to ask them to replace the damaged pieces. They replaced them with pieces from the lower option package. Again didn t say anything to me I guess just expected me to not notice (or fair enough they didn t notice themselves). When I told them it was wrong they thought I was crazy but finally fixed it. Point of this lovely anecdote is that quality and service are a crap shoot. Sometimes you get lucky sometimes you don t. Also on the rough ride air suspension my wife and I currently own a Benz and specifically opted for a lower end model to avoid the air suspension. Sure air rides great lots of smiles until you need to repair it. Man I m full of anecdotes tonight. | 304 | 17 | 8,874 |
pk1z1n | 115 | Model Y-1 Year review I ve had my Tesla Model Y for almost 1 year picked it up mid September 2020 and I ve put 11 250 miles on it. I figured some of y all may be interested in hearing my thoughts. Let s start with the bad about the Model Y. First the suspension. The Model Y is a very firm vehicle it s not like a cushion or a pillow ride like some air suspension vehicles have. My friend has a Q8 which is way better than my Model Y. Another bad is the road-trip ability charging. The supercharger network is praised upon by many people transitioning to Tesla vehicles but in my experience it s been a mixed bag. I never felt like I would run out of range and always made it to my destination supercharger with at least 10% battery. Supercharging is annoying. I made a trip to Houston and back in my Model Y and there are 3 charging stops along the way. The way it s mapped you have 2 options. If you stop at the first charger (Corsicana TX) you would have to stop at the 3rd Charger (Huntsville TX) otherwise you wouldn t make it. You may be thinking ok just go to the charger in the middle and have one-stop. That s even worse because Tesla only put 4 stalls at that location. On the way to Houston I had 4 cars AHEAD of me. I waited 30 min just to get a spot it was fine 25 min and I d be on my way. I was kinda annoyed because a trip that takes 4 hrs 30 took close to 5 and a half hours pretty much. On the way back I figured I d go to the outer two chargers guess what happened another wait at both. The first one was a 15-minute wait then a 10-minute charge. The second one was a 10-minute wait with a 10 min charge. I guess a pro of taking the Tesla vs my Lexus was the charging was free I got 2 000 free supercharging miles when I bought my vehicle. The big topic with Tesla though is Build quality. Oh boy build quality is very inconsistent with Tesla. Originally I had a VIN for my vehicle which I was supposed to take delivery mid-august. The car got to the Plano Service center for delivery when they realized this car got issues. First it started with a cracked windshield from transportation didn t really care delivery was delayed 1 day. The next day (supposed to be the delivery day) I get a call the vehicle has paint bubbles and needs to go to the body shop it ll be another week but they put me into a Model X loaner. The car got back to the body shop then it needed to back because the hood had a few bubbles and the dash needed to be replaced because of some scratching. I actually stopped by the Tesla service center to see the car and its issues I probably shouldn t have but I didn t really care because I ve already paid for the car that I didn t have. (you are required to pay for the car in Texas before delivery due to Texas laws and not giving Tesla a sales license). I saw the scratch and the paint bubbles I thought to myself I m spending a lot on a car and it s not good quality and its been to the body shop twice do I want this VIN. The answer was No. I got a regional sales manager involved who put me into a new vin (car I currently own). It took an additional week and the vehicle was flawless but it s annoying and stupid I had to go through this process. They gave me $2 000 off the car so I guess they made up for it. Another stupid con is with 8 cameras I really would ve thought a 360 camera would be possible but I guess it isn t. Alright enough with the cons let s get into the pros and my likes. Gotta start off with acceleration. Even though my car is the Long Range AWD version and goes 0-60 in 4.8 it feels insane from the stop. Super quick and gives me a giggle and a smile every time I do it. The funniest is when you have passengers. I personally find the 30mph-85mph to be even more insane. I think it accelerates faster from 30 than from 0. (haven t really gone over 85) Another pro of the car is the technology software updates. I love that my car gets a software update. The infotainment software in many cars changes frequently but in the Model Y every car gets software updates. The Model Y I bought a year ago has the same software as brand new cars. Over the last year I ve gotten new features and the UI has been revised a little in December 2020. Another pro is the seat material The seats are super soft and comfy. They really feel nice. A big discussion with Tesla is autopilot. I have Basic Autopilot I do not have the fsd crap and I m glad I don t. The basic autopilot keeps me in my lane which is good enough for me. I had a loaner Model 3 while mine was getting an A C filter change last week that once had FSD all it gave me (that was useful) was lane changing. For $10k I don t have any issues changing lanes myself. Maybe when I go on a road trip I ll subscribe to FSD for $200 month. I ve come to really like Regenerative braking. One pedal driving is amazing. You get used to it after a few hours days but once you get used to it you feel it s amazing. I like home charging when I am at home I plug in every night so I have a full tank every day. It s very convenient. Since on the topic of gas-saving let s talk about my Gas Savings . In my 11 000 miles I have spent roughly $290 on home charging. I m going to say my 2013 Lexus GS350 gets 25MPG. If you take 11k and divide by 25MPG you get 440. I would have used 440 gallons on the Lexus. 440 gallons x premium gas cost (3.4 in Dallas) you get $1 496. 1 496-290 is a saving of $1 206. If you drive a ton having an EV is super cost-effective. I ve also found the cargo room is really good between the Front trunk and trunk there is a lot of room. The ride height is nice and the rear-seat legroom is very roomy way bigger and more spacious than the Model 3. The question is would I do this purchase again knowing what I know now? Yes! I love the way it drives and the tech is phenomenal. The downsides are a small price to pay for the fun drive and great tech. Tesla still has aways to go with quality fit and finish. I drove the mustang mach e didn t like it as much as my Model Y though the Mach E was great. | Please learn to use paragraphs | I put 11k on mine in 4 months... | 304 | 30 | 8,875 |
pk1z1n | 115 | Model Y-1 Year review I ve had my Tesla Model Y for almost 1 year picked it up mid September 2020 and I ve put 11 250 miles on it. I figured some of y all may be interested in hearing my thoughts. Let s start with the bad about the Model Y. First the suspension. The Model Y is a very firm vehicle it s not like a cushion or a pillow ride like some air suspension vehicles have. My friend has a Q8 which is way better than my Model Y. Another bad is the road-trip ability charging. The supercharger network is praised upon by many people transitioning to Tesla vehicles but in my experience it s been a mixed bag. I never felt like I would run out of range and always made it to my destination supercharger with at least 10% battery. Supercharging is annoying. I made a trip to Houston and back in my Model Y and there are 3 charging stops along the way. The way it s mapped you have 2 options. If you stop at the first charger (Corsicana TX) you would have to stop at the 3rd Charger (Huntsville TX) otherwise you wouldn t make it. You may be thinking ok just go to the charger in the middle and have one-stop. That s even worse because Tesla only put 4 stalls at that location. On the way to Houston I had 4 cars AHEAD of me. I waited 30 min just to get a spot it was fine 25 min and I d be on my way. I was kinda annoyed because a trip that takes 4 hrs 30 took close to 5 and a half hours pretty much. On the way back I figured I d go to the outer two chargers guess what happened another wait at both. The first one was a 15-minute wait then a 10-minute charge. The second one was a 10-minute wait with a 10 min charge. I guess a pro of taking the Tesla vs my Lexus was the charging was free I got 2 000 free supercharging miles when I bought my vehicle. The big topic with Tesla though is Build quality. Oh boy build quality is very inconsistent with Tesla. Originally I had a VIN for my vehicle which I was supposed to take delivery mid-august. The car got to the Plano Service center for delivery when they realized this car got issues. First it started with a cracked windshield from transportation didn t really care delivery was delayed 1 day. The next day (supposed to be the delivery day) I get a call the vehicle has paint bubbles and needs to go to the body shop it ll be another week but they put me into a Model X loaner. The car got back to the body shop then it needed to back because the hood had a few bubbles and the dash needed to be replaced because of some scratching. I actually stopped by the Tesla service center to see the car and its issues I probably shouldn t have but I didn t really care because I ve already paid for the car that I didn t have. (you are required to pay for the car in Texas before delivery due to Texas laws and not giving Tesla a sales license). I saw the scratch and the paint bubbles I thought to myself I m spending a lot on a car and it s not good quality and its been to the body shop twice do I want this VIN. The answer was No. I got a regional sales manager involved who put me into a new vin (car I currently own). It took an additional week and the vehicle was flawless but it s annoying and stupid I had to go through this process. They gave me $2 000 off the car so I guess they made up for it. Another stupid con is with 8 cameras I really would ve thought a 360 camera would be possible but I guess it isn t. Alright enough with the cons let s get into the pros and my likes. Gotta start off with acceleration. Even though my car is the Long Range AWD version and goes 0-60 in 4.8 it feels insane from the stop. Super quick and gives me a giggle and a smile every time I do it. The funniest is when you have passengers. I personally find the 30mph-85mph to be even more insane. I think it accelerates faster from 30 than from 0. (haven t really gone over 85) Another pro of the car is the technology software updates. I love that my car gets a software update. The infotainment software in many cars changes frequently but in the Model Y every car gets software updates. The Model Y I bought a year ago has the same software as brand new cars. Over the last year I ve gotten new features and the UI has been revised a little in December 2020. Another pro is the seat material The seats are super soft and comfy. They really feel nice. A big discussion with Tesla is autopilot. I have Basic Autopilot I do not have the fsd crap and I m glad I don t. The basic autopilot keeps me in my lane which is good enough for me. I had a loaner Model 3 while mine was getting an A C filter change last week that once had FSD all it gave me (that was useful) was lane changing. For $10k I don t have any issues changing lanes myself. Maybe when I go on a road trip I ll subscribe to FSD for $200 month. I ve come to really like Regenerative braking. One pedal driving is amazing. You get used to it after a few hours days but once you get used to it you feel it s amazing. I like home charging when I am at home I plug in every night so I have a full tank every day. It s very convenient. Since on the topic of gas-saving let s talk about my Gas Savings . In my 11 000 miles I have spent roughly $290 on home charging. I m going to say my 2013 Lexus GS350 gets 25MPG. If you take 11k and divide by 25MPG you get 440. I would have used 440 gallons on the Lexus. 440 gallons x premium gas cost (3.4 in Dallas) you get $1 496. 1 496-290 is a saving of $1 206. If you drive a ton having an EV is super cost-effective. I ve also found the cargo room is really good between the Front trunk and trunk there is a lot of room. The ride height is nice and the rear-seat legroom is very roomy way bigger and more spacious than the Model 3. The question is would I do this purchase again knowing what I know now? Yes! I love the way it drives and the tech is phenomenal. The downsides are a small price to pay for the fun drive and great tech. Tesla still has aways to go with quality fit and finish. I drove the mustang mach e didn t like it as much as my Model Y though the Mach E was great. | Please learn to use paragraphs | So it sounds like the main problem is that you live in Texas. That s fixable. Edit: said by someone who lives in Texas and isn t looking forward to delivery issues because of it | 304 | 33 | 8,876 |
pky59h | 69 | Headlights no longer automatically turn on in rainstorms I have no idea why but Tesla has removed either purposely or accidentally the functionality that enabled the headlights to turn on when it begins to rain. I was just driving in a torrential downpour to look over and see the headlights had not automatically turned on. It seems about 3 months ago Tesla modified the headlight behavior from turning on as soon as the wipers wiped (even when using washer sprayer button) to instead look for rain or maybe after a certain number of wipes (3-5) the lights would come on. Now on 2021.24.10 the functionality seems to have been completely removed. I was a good 5 minutes into a heavy heavy rainstorm and the lights were not on. Everything was set to auto. Wiper-linked headlights are becoming a standard feature on a lot of cars. Even my 2015 VW GTI had it as do all Subarus Hondas etc. It seems very strange Tesla would remove that functionality on purpose but it certainly seems to be the case. I ve rebooted the screen and it made no difference so I don t think it s just a glitch with my car especially since I had noticed a change over the past several months in how it worked. If anyone has heard details about this I would like to know why it is being removed. | Model 3 here it rained today (though it was still bright out) and I can confirm the lights didn t come on. Running with running lights is good enough from the front but lights should be on-on so the rear lights turn on. | Have you tried turning auto headlights off and back on again? Last I saw mine still come on as soon as the wipers engage. | 36 | 4 | 8,877 |
pmumxo | 104 | Thinking about renting a Tesla model 3 for a short weekend trip. Never driven a Tesla I ve never driven a Tesla…thinking about renting one for a weekend trip. I m totally in the dark on the things I need to consider. For charging do I need to mainly just look for supercharger stations? | If you re trying to avoid buying a car I wouldn t rent one. I had no intention of buying a car until I rented a model 3 sr+. I couldn t get over how much better it was to drive than a normal car and picked one up about a month later. | Yes if you put your destination into the car s navigation it will direct you to make all the stops you need. It adds a bit of time over just going to a gas station but not too much. | 159 | 5 | 8,878 |
pmumxo | 104 | Thinking about renting a Tesla model 3 for a short weekend trip. Never driven a Tesla I ve never driven a Tesla…thinking about renting one for a weekend trip. I m totally in the dark on the things I need to consider. For charging do I need to mainly just look for supercharger stations? | If you re trying to avoid buying a car I wouldn t rent one. I had no intention of buying a car until I rented a model 3 sr+. I couldn t get over how much better it was to drive than a normal car and picked one up about a month later. | Superchargers along the way maybe check to see if where you are staying has a destination charger. Also be warned don t drive it unless you are willing to catch the bug. The moment I first test drove one I was hooked. Enjoy your trip. | 159 | 5 | 8,879 |
pmumxo | 104 | Thinking about renting a Tesla model 3 for a short weekend trip. Never driven a Tesla I ve never driven a Tesla…thinking about renting one for a weekend trip. I m totally in the dark on the things I need to consider. For charging do I need to mainly just look for supercharger stations? | If you re trying to avoid buying a car I wouldn t rent one. I had no intention of buying a car until I rented a model 3 sr+. I couldn t get over how much better it was to drive than a normal car and picked one up about a month later. | Charging is really the biggest thing. There s an app abrp https: abetterrouteplanner.com that will help you plan out your trip. The other thing that s weird at first is how quiet it is. Get in. Put it into gear and go. No engine noise. Just hit the gas. I rented a Tesla for a weekend and after that I made it my number one goal to get one. A year later I found a used 2018 model 3 with FSD and long range for 40k. I jumped on it and never looked back. Enjoy your trip! | 159 | 34 | 8,880 |
pmxsql | 235 | Why Tesla is struggling in Japan DISCLAIMER: I am aware that Tesla is a relatively new company that can t just start making 10 different models off the bat. I am also aware that they are working on a more compact model at the Chinese plant and that will hopefully turn things around. I live in Tokyo and my family is currently considering which EV to buy. A Tesla is obviously one of the options but the reason we re hesitant: They re TOO FREAKING WIDE [Model 3 at our house](https: preview.redd.it 43xj0unv34n71.jpg?width=4032& format=pjpg& auto=webp& s=a6638f7e15c3103b0f20ac3025d3baead3ec47a1) & #x200B [driver s side barely opens](https: preview.redd.it u1dsbyk944n71.jpg?width=3024& format=pjpg& auto=webp& s=e0496febfc6572d518eeec470044c88ce814bd3d) I know they had the Japan market in mind when they made the Model 3 1849 mm in width but here are the problems it still causes. 1. Japanese city parking lots. Most are the kind like you see in *Tokyo Drift* where each car has its own platform and max width is usually 1850 mm. The smallest model having a margin of 1mm necessitates some virtuoso parking skill every time you want to go shopping in your car. Models S X and Y aren t even a viable option for city dwellers. 2. Streets. Japanese cities are not like most US cities where the roads are straight and wide and go on for light years. Most Japanese neighborhoods and cities were laid out and densely populated (some even overcrowded) centuries before automobiles were invented and as such have narrow roads with many bends that aren t optimal for cars to begin with. This is why makes that have a wide reach such as the Corolla have different widths depending on the market and the Japanese market version typically has the smallest width. 3. Housing conditions. Again it s not like American cities where middle class families have houses in the suburbs. More than half of the total population live in the Tokaido Megalopolis that include Tokyo Osaka and Nagoya. The city is too big for there to be any suburbs and land tends to be pricey in any city so the end result is that half of the national population live in apartments. Again these buildings tend to have platform parking spaces which means you ll be scraping your car just to get in and out of your house too much of a hassle for most. Now some points that didn t apply to us but is a huge part of people avoiding Teslas: 1. Housing conditions. As mentioned above half of the population live in apartments. Even if the building had a flat parking lot you couldn t just install a charger as you please. Also again most city buildings have platform parking (if any) so the only time you have access to your car is when you want to get it out. Makes it quite difficult to charge while parked and logistically as well it s far more complicated than just plugging it into a wall. 2. Most people don t drive daily. Actually this is true for us as well but most people don t commute by car because there s no parking space at work. Public transport is good enough for most which is why they don t have cars to begin with. In fact there are only 0.23 cars per capita in Tokyo (the entire prefecture not just the city). Case in point: our next-door neighbors have a parking space but no car. Let s face it walking biking is a way cheaper emissions-free mode of transportation than an EV and it s only a five minute walk to the nearest subway station. Basically the cost is hard to justify for a lot of people. 3. The people that do drive daily live in the countryside even though Tesla infrastructure is focused on the cities. I do get Tesla s purpose here it doesn t make sense to start installing superchargers in sparsely populated areas even if a larger portion of the residents drive daily. However if you consider the cities that dot the countryside ... out of the four main islands the main one that has the megalopolis in it has most (\\~30) of the chargers the second most populated (has Fukuoka and Nagasaki) has three the third most populated Hokkaido (has Sapporo) has *ONE* (NOT in Sapporo) and the least populated has a whopping ***ZERO*** superchargers. Even on the main island if you lived on the North West side (as opposed to the South East that has the Tokaido Megalopolis) that whole half of the island has a grand total of **one** supercharger. The mountain range that divides those two halves of the country don t help either. The government is going all out with the funds to *aggressively* cut down on CO2 emissions (I mean we get approx. 17k USD in grants and tax incentives if we buy an EV now) so hopefully we ll see developments in the near future that enable EVs to run on smaller batteries but for now it s unfortunately a very niche market. Edit: Holy yikes I didn t expect this much traction! I ll reply to as many comments as I can. Thank you for your patience! Edit 2: A lot of people (incidentally not the ones that live here) are talking about the consumers loyalty to domestic brands or about the size of other imported cars. I don t think it s as much a matter of loyalty as it is availability and bang for the buck. Just look at how iOS has taken over. Some Japanese people prefer German luxury cars because it signals wealth and social standing. Others like Italian performance cars because they re into fast and fancy cars. The vast majority want something that won t put them in debt that will save them fuel and corner city streets easily. That happens to be Japanese cars. I saw much less non-German cars during my time in Germany than non-Japanese in Tokyo. What else can you expect of course domestic companies understand the domestic market better and have an edge. What s strange is that this doesn t apply to the North American market which has had three major companies for a century before Tesla. Anyway no one I know favors a car that doesn t suits their needs over one that does simply because it s Japanese . One factor may be that parts for foreign cars are pricier and harder to come by if they break but other than that maybe if they worked for a company they would favor their cars. Reliability is also a huge factor because there are state mandated biennial full inspections for all registered vehicles. It ll cost you around 500-1k USD and you won t be able to use your car for a few days so you really want a car that a) won t break and b) has readily available spare parts if they break. I don t know about inspection laws in other countries. | Valid observations but you can t *possibly* expect a single model to be ideal globally. The Model 3 is properly sized for 99% of the world so this is not an issue Tesla should be concerned about. | I think that the biggest issue for Tesla in Japan is supply as Tesla just haven t imported that many cars. I think you ll see a lot more Teslas in Japan once the Berlin factory is running and more supply form Beijing can go to Asia. | 59 | 3 | 8,881 |
pmxsql | 235 | Why Tesla is struggling in Japan DISCLAIMER: I am aware that Tesla is a relatively new company that can t just start making 10 different models off the bat. I am also aware that they are working on a more compact model at the Chinese plant and that will hopefully turn things around. I live in Tokyo and my family is currently considering which EV to buy. A Tesla is obviously one of the options but the reason we re hesitant: They re TOO FREAKING WIDE [Model 3 at our house](https: preview.redd.it 43xj0unv34n71.jpg?width=4032& format=pjpg& auto=webp& s=a6638f7e15c3103b0f20ac3025d3baead3ec47a1) & #x200B [driver s side barely opens](https: preview.redd.it u1dsbyk944n71.jpg?width=3024& format=pjpg& auto=webp& s=e0496febfc6572d518eeec470044c88ce814bd3d) I know they had the Japan market in mind when they made the Model 3 1849 mm in width but here are the problems it still causes. 1. Japanese city parking lots. Most are the kind like you see in *Tokyo Drift* where each car has its own platform and max width is usually 1850 mm. The smallest model having a margin of 1mm necessitates some virtuoso parking skill every time you want to go shopping in your car. Models S X and Y aren t even a viable option for city dwellers. 2. Streets. Japanese cities are not like most US cities where the roads are straight and wide and go on for light years. Most Japanese neighborhoods and cities were laid out and densely populated (some even overcrowded) centuries before automobiles were invented and as such have narrow roads with many bends that aren t optimal for cars to begin with. This is why makes that have a wide reach such as the Corolla have different widths depending on the market and the Japanese market version typically has the smallest width. 3. Housing conditions. Again it s not like American cities where middle class families have houses in the suburbs. More than half of the total population live in the Tokaido Megalopolis that include Tokyo Osaka and Nagoya. The city is too big for there to be any suburbs and land tends to be pricey in any city so the end result is that half of the national population live in apartments. Again these buildings tend to have platform parking spaces which means you ll be scraping your car just to get in and out of your house too much of a hassle for most. Now some points that didn t apply to us but is a huge part of people avoiding Teslas: 1. Housing conditions. As mentioned above half of the population live in apartments. Even if the building had a flat parking lot you couldn t just install a charger as you please. Also again most city buildings have platform parking (if any) so the only time you have access to your car is when you want to get it out. Makes it quite difficult to charge while parked and logistically as well it s far more complicated than just plugging it into a wall. 2. Most people don t drive daily. Actually this is true for us as well but most people don t commute by car because there s no parking space at work. Public transport is good enough for most which is why they don t have cars to begin with. In fact there are only 0.23 cars per capita in Tokyo (the entire prefecture not just the city). Case in point: our next-door neighbors have a parking space but no car. Let s face it walking biking is a way cheaper emissions-free mode of transportation than an EV and it s only a five minute walk to the nearest subway station. Basically the cost is hard to justify for a lot of people. 3. The people that do drive daily live in the countryside even though Tesla infrastructure is focused on the cities. I do get Tesla s purpose here it doesn t make sense to start installing superchargers in sparsely populated areas even if a larger portion of the residents drive daily. However if you consider the cities that dot the countryside ... out of the four main islands the main one that has the megalopolis in it has most (\\~30) of the chargers the second most populated (has Fukuoka and Nagasaki) has three the third most populated Hokkaido (has Sapporo) has *ONE* (NOT in Sapporo) and the least populated has a whopping ***ZERO*** superchargers. Even on the main island if you lived on the North West side (as opposed to the South East that has the Tokaido Megalopolis) that whole half of the island has a grand total of **one** supercharger. The mountain range that divides those two halves of the country don t help either. The government is going all out with the funds to *aggressively* cut down on CO2 emissions (I mean we get approx. 17k USD in grants and tax incentives if we buy an EV now) so hopefully we ll see developments in the near future that enable EVs to run on smaller batteries but for now it s unfortunately a very niche market. Edit: Holy yikes I didn t expect this much traction! I ll reply to as many comments as I can. Thank you for your patience! Edit 2: A lot of people (incidentally not the ones that live here) are talking about the consumers loyalty to domestic brands or about the size of other imported cars. I don t think it s as much a matter of loyalty as it is availability and bang for the buck. Just look at how iOS has taken over. Some Japanese people prefer German luxury cars because it signals wealth and social standing. Others like Italian performance cars because they re into fast and fancy cars. The vast majority want something that won t put them in debt that will save them fuel and corner city streets easily. That happens to be Japanese cars. I saw much less non-German cars during my time in Germany than non-Japanese in Tokyo. What else can you expect of course domestic companies understand the domestic market better and have an edge. What s strange is that this doesn t apply to the North American market which has had three major companies for a century before Tesla. Anyway no one I know favors a car that doesn t suits their needs over one that does simply because it s Japanese . One factor may be that parts for foreign cars are pricier and harder to come by if they break but other than that maybe if they worked for a company they would favor their cars. Reliability is also a huge factor because there are state mandated biennial full inspections for all registered vehicles. It ll cost you around 500-1k USD and you won t be able to use your car for a few days so you really want a car that a) won t break and b) has readily available spare parts if they break. I don t know about inspection laws in other countries. | Valid observations but you can t *possibly* expect a single model to be ideal globally. The Model 3 is properly sized for 99% of the world so this is not an issue Tesla should be concerned about. | Model 2 | 59 | 8 | 8,882 |
pmxsql | 235 | Why Tesla is struggling in Japan DISCLAIMER: I am aware that Tesla is a relatively new company that can t just start making 10 different models off the bat. I am also aware that they are working on a more compact model at the Chinese plant and that will hopefully turn things around. I live in Tokyo and my family is currently considering which EV to buy. A Tesla is obviously one of the options but the reason we re hesitant: They re TOO FREAKING WIDE [Model 3 at our house](https: preview.redd.it 43xj0unv34n71.jpg?width=4032& format=pjpg& auto=webp& s=a6638f7e15c3103b0f20ac3025d3baead3ec47a1) & #x200B [driver s side barely opens](https: preview.redd.it u1dsbyk944n71.jpg?width=3024& format=pjpg& auto=webp& s=e0496febfc6572d518eeec470044c88ce814bd3d) I know they had the Japan market in mind when they made the Model 3 1849 mm in width but here are the problems it still causes. 1. Japanese city parking lots. Most are the kind like you see in *Tokyo Drift* where each car has its own platform and max width is usually 1850 mm. The smallest model having a margin of 1mm necessitates some virtuoso parking skill every time you want to go shopping in your car. Models S X and Y aren t even a viable option for city dwellers. 2. Streets. Japanese cities are not like most US cities where the roads are straight and wide and go on for light years. Most Japanese neighborhoods and cities were laid out and densely populated (some even overcrowded) centuries before automobiles were invented and as such have narrow roads with many bends that aren t optimal for cars to begin with. This is why makes that have a wide reach such as the Corolla have different widths depending on the market and the Japanese market version typically has the smallest width. 3. Housing conditions. Again it s not like American cities where middle class families have houses in the suburbs. More than half of the total population live in the Tokaido Megalopolis that include Tokyo Osaka and Nagoya. The city is too big for there to be any suburbs and land tends to be pricey in any city so the end result is that half of the national population live in apartments. Again these buildings tend to have platform parking spaces which means you ll be scraping your car just to get in and out of your house too much of a hassle for most. Now some points that didn t apply to us but is a huge part of people avoiding Teslas: 1. Housing conditions. As mentioned above half of the population live in apartments. Even if the building had a flat parking lot you couldn t just install a charger as you please. Also again most city buildings have platform parking (if any) so the only time you have access to your car is when you want to get it out. Makes it quite difficult to charge while parked and logistically as well it s far more complicated than just plugging it into a wall. 2. Most people don t drive daily. Actually this is true for us as well but most people don t commute by car because there s no parking space at work. Public transport is good enough for most which is why they don t have cars to begin with. In fact there are only 0.23 cars per capita in Tokyo (the entire prefecture not just the city). Case in point: our next-door neighbors have a parking space but no car. Let s face it walking biking is a way cheaper emissions-free mode of transportation than an EV and it s only a five minute walk to the nearest subway station. Basically the cost is hard to justify for a lot of people. 3. The people that do drive daily live in the countryside even though Tesla infrastructure is focused on the cities. I do get Tesla s purpose here it doesn t make sense to start installing superchargers in sparsely populated areas even if a larger portion of the residents drive daily. However if you consider the cities that dot the countryside ... out of the four main islands the main one that has the megalopolis in it has most (\\~30) of the chargers the second most populated (has Fukuoka and Nagasaki) has three the third most populated Hokkaido (has Sapporo) has *ONE* (NOT in Sapporo) and the least populated has a whopping ***ZERO*** superchargers. Even on the main island if you lived on the North West side (as opposed to the South East that has the Tokaido Megalopolis) that whole half of the island has a grand total of **one** supercharger. The mountain range that divides those two halves of the country don t help either. The government is going all out with the funds to *aggressively* cut down on CO2 emissions (I mean we get approx. 17k USD in grants and tax incentives if we buy an EV now) so hopefully we ll see developments in the near future that enable EVs to run on smaller batteries but for now it s unfortunately a very niche market. Edit: Holy yikes I didn t expect this much traction! I ll reply to as many comments as I can. Thank you for your patience! Edit 2: A lot of people (incidentally not the ones that live here) are talking about the consumers loyalty to domestic brands or about the size of other imported cars. I don t think it s as much a matter of loyalty as it is availability and bang for the buck. Just look at how iOS has taken over. Some Japanese people prefer German luxury cars because it signals wealth and social standing. Others like Italian performance cars because they re into fast and fancy cars. The vast majority want something that won t put them in debt that will save them fuel and corner city streets easily. That happens to be Japanese cars. I saw much less non-German cars during my time in Germany than non-Japanese in Tokyo. What else can you expect of course domestic companies understand the domestic market better and have an edge. What s strange is that this doesn t apply to the North American market which has had three major companies for a century before Tesla. Anyway no one I know favors a car that doesn t suits their needs over one that does simply because it s Japanese . One factor may be that parts for foreign cars are pricier and harder to come by if they break but other than that maybe if they worked for a company they would favor their cars. Reliability is also a huge factor because there are state mandated biennial full inspections for all registered vehicles. It ll cost you around 500-1k USD and you won t be able to use your car for a few days so you really want a car that a) won t break and b) has readily available spare parts if they break. I don t know about inspection laws in other countries. | Even in the UK they are quite girthy. I could not find a parking space wide enough in Hull so I ended up parking on a pavement and taking the parking ticket. The other issue I ve had is in London we have many busy roads with 6foot6inch width barriers (literally steel poles designed to narrow the street at a choke point to stop caravans and lorries driving down). The clearance is a couple of inches in an S and the wheels always take a scuff due to the pavement curving in and out as you pass through them. | I think that the biggest issue for Tesla in Japan is supply as Tesla just haven t imported that many cars. I think you ll see a lot more Teslas in Japan once the Berlin factory is running and more supply form Beijing can go to Asia. | 50 | 3 | 8,883 |
pnfzs1 | 59 | Are Model 3 headlights that much better than Model S headlights? Thinking of replacing my Model 3 with an S. IIHS rates the Model S headlights as Poor and the Model 3 headlights as Good . How much difference is there in real world driving? Does suspension height affect how well the headlights work on the S? | I had a 2017 S and now have a Model Y (same headlights as a 3) and yes - huge difference. The model S lights were horrible. The light was scattered with bright spots and no clear cutoff. Don t know if they ve been updated for the refreshed cars though. | Our 2016 Model S headlights are way better than either of our ICE cars .... | 41 | 3 | 8,884 |
pnfzs1 | 59 | Are Model 3 headlights that much better than Model S headlights? Thinking of replacing my Model 3 with an S. IIHS rates the Model S headlights as Poor and the Model 3 headlights as Good . How much difference is there in real world driving? Does suspension height affect how well the headlights work on the S? | The S X LED headlights are hands down the worst LED headlights I ve ever seen in any car. Their adaptive functionality is a sick joke. The pre-refresh Xenon headlights were ok. The model 3 headlights are pretty good. | Our 2016 Model S headlights are way better than either of our ICE cars .... | 36 | 3 | 8,885 |
pnfzs1 | 59 | Are Model 3 headlights that much better than Model S headlights? Thinking of replacing my Model 3 with an S. IIHS rates the Model S headlights as Poor and the Model 3 headlights as Good . How much difference is there in real world driving? Does suspension height affect how well the headlights work on the S? | The S X LED headlights are hands down the worst LED headlights I ve ever seen in any car. Their adaptive functionality is a sick joke. The pre-refresh Xenon headlights were ok. The model 3 headlights are pretty good. | I know the 20 Model S X headlights are better than my 2017 Model S was. Assuming they haven t changed for 2021 I think you ll be happy. | 36 | 4 | 8,886 |
pnlsmk | 185 | Tesla Vision incorrectly identifying the speed limit This just happened to me yesterday in my MY (running 2021.4.23.1). While driving down a congested street I passed in fairly quick succession a Speed Limit 20 sign and then a state route 60 sign (a black 60 on a white background with a black border). Here s the [Google Street View of the road in question](https: goo.gl maps w4zggseCBaKpKbem9) where you can clearly see these two signs. Immediately after passing these signs I noticed that the display screen showed me passing a Speed Limit 60 sign and also started showing the maximum speed limit was 60 which is clearly wrong. It remained erroneously set to 60 for over a mile until I go through the downtown area and I eventually passed another speed limit sign. Given those two signs are well over 15 feet apart from one another I m a bit surprised that the car somehow combined them together to end up with the incorrect result. I m curious if anybody else has encountered similar problems and also if it s worth trying to report this to Tesla somehow... | It s completely useless... Many interstates have signs saying things like SPEED LIMIT 60 TRUCKS OVER X TONS and Tesla grabs them. It pretty much just looks for any white sign with a big number on it and treats it as gospel. | I get incorrect speed readings at least 4 times a week usually slower than the limit e.g. Misreading 60 for 50 or 50 for 30. Submit a bug report each time... Sometimes it misunderstands and ends up increasing the fan speed for me instead. | 43 | 8 | 8,887 |
pnpzty | 326 | Cruise control has become timid lately I have noticed as of late that my Model Y in cruise control autopilot leaves a much larger gap than it once did. I m talking 3x further even though I have it set on 1 for car distance. Also when a slower car moves out of my lane my Model Y accelerates much slower than it used to. It s like being in grandpa mode. 😂 Anyone else notice this lately? | I ve noticed the same thing. Radar vehicle. | My vision only MY only allows a minimum distance of 2. | 117 | 4 | 8,888 |
pnpzty | 326 | Cruise control has become timid lately I have noticed as of late that my Model Y in cruise control autopilot leaves a much larger gap than it once did. I m talking 3x further even though I have it set on 1 for car distance. Also when a slower car moves out of my lane my Model Y accelerates much slower than it used to. It s like being in grandpa mode. 😂 Anyone else notice this lately? | I ve noticed the same thing. Radar vehicle. | Yes noticed it today. | 117 | 8 | 8,889 |
pnpzty | 326 | Cruise control has become timid lately I have noticed as of late that my Model Y in cruise control autopilot leaves a much larger gap than it once did. I m talking 3x further even though I have it set on 1 for car distance. Also when a slower car moves out of my lane my Model Y accelerates much slower than it used to. It s like being in grandpa mode. 😂 Anyone else notice this lately? | Same for me. It s also not keeping pace with traffic like it used to. I ll be going 60 with my autopilot set at 80 and cars far ahead of me. It s definitely gone backwards these past few updates. | The car lenght has never worked for me. 1 or 6 it s practically the same. | 98 | 2 | 8,890 |
po4gh5 | 82 | I ve got an interview for a service technician is there anything I should have in mind I m curious about the types of questions they will ask and what kind of drug screening will take place. | don t let your first question to them be about the drug screening policy for starters. | Let us know how it goes. I ve also applied for this position in NC. I was working as a field service engineer in additive manufacturing but there are limited positions without moving out west or up north. Also as far as the drug Test is concerned can you just play them the clip of Elon smoking with Rogan? As long as it s a legal state and you aren t using on the clock I personally have no problem with it. NC isn t a legal state but we have delta8 delta 10 which I m assuming would still flag on a test. Best to quit now and flush your system if you ve got to pass a test. | 161 | 5 | 8,891 |
po4gh5 | 82 | I ve got an interview for a service technician is there anything I should have in mind I m curious about the types of questions they will ask and what kind of drug screening will take place. | don t let your first question to them be about the drug screening policy for starters. | They re going to ask you to identify all the issues from looking at a car and how you plan on rectifying it. The correct answer for most of them is “oh that s within spec.” | 161 | 6 | 8,892 |
po4gh5 | 82 | I ve got an interview for a service technician is there anything I should have in mind I m curious about the types of questions they will ask and what kind of drug screening will take place. | don t let your first question to them be about the drug screening policy for starters. | There are no oil changes required! s | 161 | 23 | 8,893 |
pp1hxd | 464 | First time driving an EV. HOLY MOLEY! Hello Everyone Today my wife and I test drove a Model Y Long Range. Not only was it my first time driving a Tesla it was my first time driving an EV. This wasn t a performance version but man what a kick in the ass that car is. It was up to 100mph is nuthin flat. I can t even imagine what driving a Plaid must be like.. We dropped by the Superior CO location while I was on my lunch break. Like a Crack Dealer Tesla doesn t really sell these cars but offers them. The rep we spoke with did the usual walk around of a floor model. We immediately got a massive laugh out of the Romantic Mode . My wife was giggling like a school girl. So my other impressions questions. * Man this thing really has A LOT of cargo space. That was very surprising. * The seats take a little getting used to but man that white is something else. If I get one I think I ll go for a blue exterior with those white seats. * No CarPlay is kinda disappointing but this is mostly because there is no Waze to warn me of any cops ahead. That is something I ll miss but my wife pointed out that the phone sits nicely on the charging pad and we could still run Waze on that. I was thinking it would be cool if AutoPilot could look down the road and give you a heads up if it notices a police car. It could also tell you if one comes up behind you from a highway on ramp. * Obviously the car was super quiet on the highway but the tires and suspension do transmit a lot of noise into the cabin. * No spare tire is a little concerning. I d like some feedback on that. The Tesla rep did a great job of explaining why. That was very reasonable and roadside assistance would help with any tire change. But what if we re in Colorado s mountains and out of cell phone coverage. How do we get service at that point? Also do they repair a tire with minor damage right there or do they give you a loaner wheel and tire? I m looking for any gotchas. * I m sure lots of people say this but regen braking will take some getting used to. Especially since our other vehicle is a Jeep Wrangler. * Does anyone know if the Model Y can handle a rooftop tent with two or three people? I have an iKamper xCover which may be a bit too big. I haven t investigated this yet. On Monday I get to check out a Ford F150 Lightning. I ve got an early reservation for one so I m fairly sure I ll have the option to actually order one. I also have a Cybertruck reservation but that s a very late one so I don t think I ll be able to get one for quite a while. I may buy an F150 and keep it for a couple years then get a Cybertruck. But after driving a Model Y I may say screw it and lease that for a while before getting a CT. I will probably have to make a decision soon on the Ford. Orders are expected to open this fall. But man what a fun car that was to drive. I totally get the attraction to it. | You ll not only get used to regenerative braking very quickly but you won t want to drive any other way after a few days. | Funny you mention that about Waze if Tesla felt like it they could very quickly delete Maze as their cars have the ability to do exactly as you mentioned but lack the software. I imagine in the future there will be an option like this more so for safety. (car accident or pulled over cars) | 444 | 5 | 8,894 |
pp1hxd | 464 | First time driving an EV. HOLY MOLEY! Hello Everyone Today my wife and I test drove a Model Y Long Range. Not only was it my first time driving a Tesla it was my first time driving an EV. This wasn t a performance version but man what a kick in the ass that car is. It was up to 100mph is nuthin flat. I can t even imagine what driving a Plaid must be like.. We dropped by the Superior CO location while I was on my lunch break. Like a Crack Dealer Tesla doesn t really sell these cars but offers them. The rep we spoke with did the usual walk around of a floor model. We immediately got a massive laugh out of the Romantic Mode . My wife was giggling like a school girl. So my other impressions questions. * Man this thing really has A LOT of cargo space. That was very surprising. * The seats take a little getting used to but man that white is something else. If I get one I think I ll go for a blue exterior with those white seats. * No CarPlay is kinda disappointing but this is mostly because there is no Waze to warn me of any cops ahead. That is something I ll miss but my wife pointed out that the phone sits nicely on the charging pad and we could still run Waze on that. I was thinking it would be cool if AutoPilot could look down the road and give you a heads up if it notices a police car. It could also tell you if one comes up behind you from a highway on ramp. * Obviously the car was super quiet on the highway but the tires and suspension do transmit a lot of noise into the cabin. * No spare tire is a little concerning. I d like some feedback on that. The Tesla rep did a great job of explaining why. That was very reasonable and roadside assistance would help with any tire change. But what if we re in Colorado s mountains and out of cell phone coverage. How do we get service at that point? Also do they repair a tire with minor damage right there or do they give you a loaner wheel and tire? I m looking for any gotchas. * I m sure lots of people say this but regen braking will take some getting used to. Especially since our other vehicle is a Jeep Wrangler. * Does anyone know if the Model Y can handle a rooftop tent with two or three people? I have an iKamper xCover which may be a bit too big. I haven t investigated this yet. On Monday I get to check out a Ford F150 Lightning. I ve got an early reservation for one so I m fairly sure I ll have the option to actually order one. I also have a Cybertruck reservation but that s a very late one so I don t think I ll be able to get one for quite a while. I may buy an F150 and keep it for a couple years then get a Cybertruck. But after driving a Model Y I may say screw it and lease that for a while before getting a CT. I will probably have to make a decision soon on the Ford. Orders are expected to open this fall. But man what a fun car that was to drive. I totally get the attraction to it. | You ll not only get used to regenerative braking very quickly but you won t want to drive any other way after a few days. | Regarding the Waze there s a website you can access via the browser. Save it as a favorite and it ll show you Waze info on the screen. It won t announce cop ahead but you ll be able to see them. You cannot report anything though. | 444 | 10 | 8,895 |
pp1hxd | 464 | First time driving an EV. HOLY MOLEY! Hello Everyone Today my wife and I test drove a Model Y Long Range. Not only was it my first time driving a Tesla it was my first time driving an EV. This wasn t a performance version but man what a kick in the ass that car is. It was up to 100mph is nuthin flat. I can t even imagine what driving a Plaid must be like.. We dropped by the Superior CO location while I was on my lunch break. Like a Crack Dealer Tesla doesn t really sell these cars but offers them. The rep we spoke with did the usual walk around of a floor model. We immediately got a massive laugh out of the Romantic Mode . My wife was giggling like a school girl. So my other impressions questions. * Man this thing really has A LOT of cargo space. That was very surprising. * The seats take a little getting used to but man that white is something else. If I get one I think I ll go for a blue exterior with those white seats. * No CarPlay is kinda disappointing but this is mostly because there is no Waze to warn me of any cops ahead. That is something I ll miss but my wife pointed out that the phone sits nicely on the charging pad and we could still run Waze on that. I was thinking it would be cool if AutoPilot could look down the road and give you a heads up if it notices a police car. It could also tell you if one comes up behind you from a highway on ramp. * Obviously the car was super quiet on the highway but the tires and suspension do transmit a lot of noise into the cabin. * No spare tire is a little concerning. I d like some feedback on that. The Tesla rep did a great job of explaining why. That was very reasonable and roadside assistance would help with any tire change. But what if we re in Colorado s mountains and out of cell phone coverage. How do we get service at that point? Also do they repair a tire with minor damage right there or do they give you a loaner wheel and tire? I m looking for any gotchas. * I m sure lots of people say this but regen braking will take some getting used to. Especially since our other vehicle is a Jeep Wrangler. * Does anyone know if the Model Y can handle a rooftop tent with two or three people? I have an iKamper xCover which may be a bit too big. I haven t investigated this yet. On Monday I get to check out a Ford F150 Lightning. I ve got an early reservation for one so I m fairly sure I ll have the option to actually order one. I also have a Cybertruck reservation but that s a very late one so I don t think I ll be able to get one for quite a while. I may buy an F150 and keep it for a couple years then get a Cybertruck. But after driving a Model Y I may say screw it and lease that for a while before getting a CT. I will probably have to make a decision soon on the Ford. Orders are expected to open this fall. But man what a fun car that was to drive. I totally get the attraction to it. | You ll not only get used to regenerative braking very quickly but you won t want to drive any other way after a few days. | Roof bars are rated to 160lbs I think? Probably not enough for tent. | 444 | 19 | 8,896 |
pqz1nn | 70 | Is anyone complaining about auto wipers anymore? They seem to work just fine. Yeah back in the beginning they were crap but over the past 12 months they have been just fine. I m curious if anyone has any real complaints beyond minor gripes about them not doing exactly what you would want as a human? | Just went through my first rain storm in my refreshed S yesterday. The auto wipers felt pretty aggressive wiping faster than was necessary. At some times they were wiping so fast that the wiper was scraping against a mostly dry window and making noise (dry rubber scraping skipping over the glass). | Auto wipers work fine for me but spouse would like them to go a little faster (has glasses) so a sensitivity option might be nice. | 41 | 2 | 8,897 |
prerw0 | 32 | Brainstorming ways to install chargers in our condo s shared garage (HOA member) I m an owner in a condominium and a member of our HOA. We re a smaller building only 18 units. I will be the fourth unit owner in the building with an EV. I will be the one spearheading the EV charger installation project in our shared garage so I want to do right by all the owners! I d like to hear from other condo owners on what they ve seen in their buildings. Scenarios I ve explored: 1. **Each unit pays for their own installation.** They would install a charger running from their meter to their assigned parking spot. Since our homeowners own their parking spot as per the CC& Rs this charger upgrade is unique to the unit and would be included in the unit sale down the line. The problem with this is each installation varies greatly by distance from meter. I had someone come out and the quotes per unit range from 500 dollars to 3500 dollars. We obviously can t penalize homeowners for having a spot that s far away from the meter. 2. **Install 2-3 NEMA outlets in key locations of the garage** and allow owners to run their own extension cord (I am making an assumption that this is even technically possible). Downside is potential for wire damage and fir if they are not placed out of the way of driving vehicles. Not to mention wires lying on the ground is just ugly. We would also need a way to charge owners so the HOA isn t swallowing the cost of power. 3. **Install a NEMA port in a guest spot.** Unfortunately we only have two guest spots and I will assume owners would be upset that their guests can t get a spot when EV owners are charging. And we would still need a way to know who to bill otherwise the HOA is eating the cost. Has anyone seen interesting ways to do this in their condos? Are there ways to fairly log charge cost? Is there a way to just charge it to a debit card? I d love to hear suggestions! EDIT: More info: Garage is only one floor and ground level. All meters are located in the garage. Closest parking space is about 5 feet from the meters furthest parking space is about 200 feet from the meters. | I live in a condo building and 3 of the owners have teslas and owned their spots. Ultimately the best and most fair outcome was that each owner had to pay for manage and maintain their own installation with the approval of the HOA. Some were more costly then others and each needed to get permitting etc as well. The electric is pulled directly from that specific unit and therefore the cost of electricity is billed individually to each unit. It s too much of a challenge for an HOA to take on and be expected to pay for that project or future electricity costs or maintenance especially when certain owners may not care or ever plan to get an electric vehicle. They should not have to share in the cost of those projects. You are not penalizing anyone for being further away or having additional cost it s just unfortunate and something those owners should have considered or researched prior to their purchase of the condo. That s not an HOA responsibility. Those chargers will be owned maintained and sold as part of the unit. This also creates a path for future owners if when they want an EV. Sharing chargers is also not ideal as their will ultimately be challenges… | I think someone in Seattle did this about two years ago. Read the blog and get in touch with Jeff? https: www.jeff.wilcox.name 2019 11 evcondo | 37 | 4 | 8,898 |
prv7o8 | 1,351 | Do Tesla owners purposefully park next to other Teslas? I don t personally own a Tesla but whenever I go somewhere I often see more than one Tesla parked near adjacent to other Teslas. Is this just a coincidence or something Tesla owners genuinely do? | Yes! Because two sentry modes are always better than one! | For sure. Also Tesla wave should be a thing similar to Jeep wave! | 1,321 | 2 | 8,899 |
prv7o8 | 1,351 | Do Tesla owners purposefully park next to other Teslas? I don t personally own a Tesla but whenever I go somewhere I often see more than one Tesla parked near adjacent to other Teslas. Is this just a coincidence or something Tesla owners genuinely do? | Yes! Because two sentry modes are always better than one! | I do too | 1,321 | 4 | 8,900 |
prv7o8 | 1,351 | Do Tesla owners purposefully park next to other Teslas? I don t personally own a Tesla but whenever I go somewhere I often see more than one Tesla parked near adjacent to other Teslas. Is this just a coincidence or something Tesla owners genuinely do? | Yes! Because two sentry modes are always better than one! | I do 100%. | 1,321 | 4 | 8,901 |
ps15ia | 33 | Tire maintenance Hi fellow Tesla owners - I drive a performance model 3 and I think I am past due on maintaining my tires. Do you guys recommend I go thru the Tesla app or would something like Discount Tire suffice? If I go somewhere besides a Tesla service center does that somehow void my warranty? | Warranty cannot be voided by changing tires. They are consumables so get them bought installed anywhere you prefer. | I get tires and brakes done through the same mechanic that takes care of Wifey s jeep. I used my warranty before it ran out to fix my tail lights and no one mentioned the tires at that time or tried to deny service. | 41 | 2 | 8,902 |
ps15ia | 33 | Tire maintenance Hi fellow Tesla owners - I drive a performance model 3 and I think I am past due on maintaining my tires. Do you guys recommend I go thru the Tesla app or would something like Discount Tire suffice? If I go somewhere besides a Tesla service center does that somehow void my warranty? | Warranty cannot be voided by changing tires. They are consumables so get them bought installed anywhere you prefer. | Just make sure you get the jack pucks for your car. Most of the places I ve called don t have them and require you to bring them in. | 41 | 6 | 8,903 |
ps15ia | 33 | Tire maintenance Hi fellow Tesla owners - I drive a performance model 3 and I think I am past due on maintaining my tires. Do you guys recommend I go thru the Tesla app or would something like Discount Tire suffice? If I go somewhere besides a Tesla service center does that somehow void my warranty? | Warranty cannot be voided by changing tires. They are consumables so get them bought installed anywhere you prefer. | Rotating or replacing? If rotating I recommend doing it yourself. A low profile jack and the appropriate pucks for the the lift points and you are golden. | 41 | 6 | 8,904 |
ps5o12 | 154 | What s in your Frunk? For us it s mostly hats and hiking shoes. Lightweight outdoorsy stuff that s most convenient when kept with the car but dirty enough to be worth keeping separate from our other stuff. What about you? Just wondering if there s a more optimal choice. Edit: Thanks everyone that s really interesting! Seems like: smelly gear or food useful emergency equipment and car care grocery bags groceries and sports equipment are the primary choices. And plenty of “nothing” as well. Edit 2: So many useful ideas I really appreciate it. Gonna upgrade our frunk game! One guy has turned his into a ball pit which is hilarious. | Get a warrant | Jackets for when an indoor area is too cold. | 282 | 2 | 8,905 |
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