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42,026,732 | catatsuy | 2024-11-02T14:52:41 | Ask HN: Can Cloudflare Improve Transparency on CAA Records with Universal SSL? | I recently noticed that when I enable Universal SSL in Cloudflare, it automatically adds CAA records without notifying me. These records don’t appear in the DNS dashboard, so I wasn’t aware they existed.<p>I primarily use Let's Encrypt, and I set my own CAA records to ensure only Let's Encrypt can issue certificates for my domain. However, Cloudflare’s hidden CAA records mean that other Certificate Authorities (CAs) could also issue certificates, which isn’t what I intended. This situation has made it harder for me to fully manage my domain’s security settings.<p>I believe Cloudflare could improve this by either informing users about these CAA records or, ideally, displaying them in the dashboard. It would also help to include guidance, such as mentioning that disabling Universal SSL may be required if users wish to modify or remove these records.<p>Here are my main concerns:
- *Control*: Hidden CAA records make it challenging for users to fully manage their DNS settings.
- *Security*: With these hidden records, I’m not sure if any other settings are changed without my knowledge.
- *Transparency*: Greater transparency would help users understand and manage Cloudflare’s SSL settings better.<p>Has anyone else experienced this? I think a bit more openness from Cloudflare would be very helpful for users. | null | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,737 | markovjulia | 2024-11-02T14:53:46 | Understanding the Spirit Animal Meaning of the Spider: Embrace Your Inner Weaver | null | https://theoptimumhealth.quora.com/Understanding-the-Spirit-Animal-Meaning-of-the-Spider-Embrace-Your-Inner-Weaver | 1 | 1 | [
42026738
] | null | null | no_article | null | null | null | null | 2024-11-08T13:33:35 | null | train |
42,026,754 | akbarnama | 2024-11-02T14:57:22 | Biggest and 'most complete' dinosaur skeleton to go on sale on November 16 | null | https://www.telegraphindia.com/world/biggest-and-most-complete-dinosaur-skeleton-to-go-on-sale-on-november-16/cid/2060097 | 1 | 0 | null | null | null | no_error | Biggest and ‘most complete’ dinosaur skeleton to go on sale on November 16 | 2024-11-02T17:18:43+05:30 | PTI |
The stage is set for "Vulcain", one of the biggest dinosaurs that roamed the earth 150 million years ago, to go under the hammer on November 16 in Paris.
French auction houses Collin du Bocage and Barbarossa have announced that the “most complete” and largest dino skeleton to be auctioned has already crossed its original estimates to USD 11- USD 22 million (approx Rs 92-185 crore) since pre-registration bidding opened in July.
The majestic Apatosaurus skeleton was discovered in Wyoming in the US in 2018 and measures 20.50 metres with approximately 80 per cent of bones belonging to the same dinosaur - making it the most complete dinosaur skeleton to be discovered.
“Vulcain is the largest and most complete dinosaur that stands above them all. It is the ancient find of a lifetime,” Olivier Collin du Bocage, founder and auctioneer of Collin du Bocage, said in a statement.
With the market for dinosaur skeleton continuing to surge since the sale of T-Rex “Sue” in 1997 for USD 8.4 million and the record sale of “Apex” Stegosaurus for USD 44.6 million dollars earlier this year, the sale of “Vulcain” is expected to be one for the record books.
The purchaser will be given the GPS point and excavation plan together with an osteological map and the rights to officially re-name the dinosaur as well as copyrights of the specimen.
“Vulcain”, one of the most complete sauropod fossils from the Late Jurassic Morrison Formation, has been studied by renowned paleontology experts, including Christian Foth from the University of Rostock in Germany who recently uncovered the specimen to be a new dinosaur species.
According to their analysis, the “Vulcain” dinosaur shares features common to both Apatosaurus and Brontosaurus, but matches more closely with Apatosaurus ajax while sharing characteristics with Apatosaurus louisae, another recognised species of Apatosaurus.
Thus, this unique mix of characteristics suggests it could represent an intermediate species between Apatosaurus ajax and Apatosaurus louisae.
Based on materials and deposits found in the fossiliferous soil layer, it was classified as an herbivore.
In comparison with the Apatosaurus specimen on display at the Natural History Museum in New York, which is made up of the skeletons of three different individual dinosaurs, Vulcain is 80 percent a complete dinosaur and also possesses a part of its skull and gastralia (floating bones) which are rare elements absent from most of the specimens found.
"Already in the field we could see that it was impressive, a sort of giant Mikado. We were very impressed, because not only is the apatosaurus much rarer than the diplodocus, but we could also see that it was an exceptional specimen," said Pascal Godefroit, palaeontology at Belgium's Royal Institute of Natural Sciences.
Godefroit had witnessed the discovery of Vulcain as his team was working on the same site, excavating a Diplodocus.
These findings, along with the palaeontology community and scientists at fossil fairs and the art and auction world all abuzz about the rise of dinosaur specimens, has raised greater interest and speculation surrounding where “Vulcain” will go home to after going under the gavel on November 16.
The giant American dinosaur has been on display at the Château de Dampierre-en-Yvelines outside Paris and has received a record number of more than 40,000 visitors to date since the exhibition opened in July.
The dinosaur will be on public exhibition from November 3 to 16 at the 17th century chateau.
Except for the headline, this story has not been edited by The Telegraph Online staff and has been published from a syndicated feed.
| 2024-11-08T02:22:01 | en | train |
42,026,760 | HideInNews | 2024-11-02T14:58:07 | We built a Ruby library that saves 50% in testing time | null | https://www.datadoghq.com/blog/engineering/ruby-test-impact-analysis/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,763 | mixeden | 2024-11-02T14:58:41 | Comal: A Meta-Algorithm for Aligning Large Language Models with Preferences | null | https://synthical.com/article/COMAL%3A-A-Convergent-Meta-Algorithm-for-Aligning-LLMs-with-General-Preferences-ee4303ca-8397-49be-8409-6f803de3f190 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,770 | ck2 | 2024-11-02T15:00:20 | US Government memo shows Ethel Rosenberg was not a spy but executed her anyway | null | https://www.bloomberg.com/news/newsletters/2024-11-01/using-foia-to-lift-the-veil-of-secrecy-on-a-cold-war-secret | 33 | 29 | [
42026977,
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42026858,
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42026993,
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] | null | null | missing_parsing | Bloomberg - Are you a robot? | null | null |
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| 2024-11-08T20:44:51 | null | train |
42,026,796 | pama | 2024-11-02T15:05:07 | Release of LLM-Claude with pdf support | null | https://simonwillison.net/2024/Nov/1/claude-api-pdf-support-beta/ | 2 | 1 | [
42027604
] | null | null | no_error | Claude API: PDF support (beta) | null | null |
Claude API: PDF support (beta) (via) Claude 3.5 Sonnet now accepts PDFs as attachments:
The new Claude 3.5 Sonnet (claude-3-5-sonnet-20241022) model now supports PDF input and understands both text and visual content within documents.
I just released llm-claude-3 0.7 with support for the new attachment type (attachments are a very new feature), so now you can do this:
llm install llm-claude-3 --upgrade
llm -m claude-3.5-sonnet 'extract text' -a mydoc.pdf
Visual PDF analysis can also be turned on for the Claude.ai application:
Also new today: Claude now offers a free (albeit rate-limited) token counting API. This addresses a complaint I've had for a while: previously it wasn't possible to accurately estimate the cost of a prompt before sending it to be executed.
| 2024-11-07T18:09:15 | en | train |
42,026,804 | NIkMOkhn | 2024-11-02T15:06:20 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,026,808 | speckx | 2024-11-02T15:06:33 | Notes on the compatibility of crypted passwords across Unixes in late 2024 | null | https://utcc.utoronto.ca/~cks/space/blog/unix/CryptedPasswordCompatibility2024 | 3 | 0 | [
42027446
] | null | null | null | null | null | null | null | null | null | train |
42,026,811 | neinasaservice | 2024-11-02T15:07:21 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,026,816 | rntn | 2024-11-02T15:07:53 | US Space Force warns of "mind-boggling" build-up of Chinese capabilities | null | https://arstechnica.com/space/2024/11/us-space-force-warns-of-mind-boggling-build-up-of-chinese-capabilities/#gsc.tab=0 | 9 | 0 | null | null | null | Failed after 3 attempts. Last error: Quota exceeded for quota metric 'Generate Content API requests per minute' and limit 'GenerateContent request limit per minute for a region' of service 'generativelanguage.googleapis.com' for consumer 'project_number:854396441450'. | US Space Force warns of “mind-boggling” build-up of Chinese capabilities | 2024-11-02T11:00:21+00:00 | Financial Times |
Both Russia and China have tested satellites with capabilities that include grappling hooks to pull other satellites out of orbit and “kinetic kill vehicles” that can target satellites and long-range ballistic missiles in space.
In May, a senior US defense department official told a House Armed Services Committee hearing that Russia was developing an “indiscriminate” nuclear weapon designed to be sent into space, while in September, China made a third secretive test of an unmanned space plane that could be used to disrupt satellites.
The US is far ahead of its European allies in developing military space capabilities, but it wanted to “lay the foundations” for the continent’s space forces, Saltzman said. Last year UK Air Marshal Paul Godfrey was appointed to oversee allied partnerships with NATO with the US Space Force—one of the first times that a high-ranking allied pilot had joined the US military.
But Saltzman warned against a rush to build up space forces across the continent.
“It is resource-intensive to separate out and stand up a new service. Even ... in America where we think we have more resources, we underestimated what it was going to take,” he said.
The US Space Force, which monitors more than 46,000 objects in orbit, has about 10,000 personnel but is the smallest department of the US military. Its officers are known as “guardians.”
The costs of building up space defense capabilities mean the US is heavily reliant on private companies, raising concerns about the power of billionaires in a sector where regulation remains minimal.
SpaceX, led by prominent Trump backer Elon Musk, is increasingly working with US military and intelligence through its Starshield arm, which is developing low Earth orbit satellites that track missiles and support intelligence gathering.
This month, SpaceX was awarded a $734 million contract to provide space launch services for US defense and intelligence agencies.
Despite concerns about Musk’s erratic behavior and reports that the billionaire has had regular contact with Russian President Vladimir Putin, Saltzman said he had no concerns about US government collaboration with SpaceX.
“I’m very comfortable that they’ll execute those [contracts] exactly the way they’re designed. All of the dealings I’ve had with SpaceX have been very professional,” he said.
Additional reporting by Kathrin Hille in Taipei.
© 2024 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way.
| 2024-11-08T10:33:41 | null | train |
42,026,828 | mellosouls | 2024-11-02T15:09:46 | Somewhere in America | null | https://www.richardhanania.com/p/somewhere-in-america | 5 | 1 | [
42027185,
42027439
] | null | null | no_error | Somewhere in America... | 2024-11-02T13:03:43+00:00 | Richard Hanania | Somewhere in America, there exists a young Latino man who has only kissed a girl once. He barely graduated high school, and has been bumming around in community college since without a clue what to do with his life. Last week, he listened to Donald Trump on the Joe Rogan podcast. He laughed when he heard Trump talk about what wind turbines are doing to whales, and was taken in by the message that other countries have been ripping us off because our politicians are stupid people. His ballot came in the mail, and he let it sit on his kitchen island for a week, but just today decided to fill it in and leave it for the mailman.Somewhere there is a woman who was in college when Dobbs was decided. She probably would’ve voted Democrat anyway in future elections, but the party couldn’t count on her to regularly show up at the polls before, until she was well into middle age. She’s read about Amber Nicole Thurman. They can count on her now.There is a black family out there that has achieved a respectable middle-class life, something that its patriarch values more than most as he never knew his father and has seen half a dozen brothers and cousins end up in jail or hooked on drugs. He has a son and a daughter, and their whole lives he’s been telling them about how important it is to vote, and all that previous generations of black people had sacrificed to give them a voice. He never felt the need to say which party they should vote for. In his community, telling someone to vote was always implicitly understood as telling them to vote Democrat, because what kind of weird black person wouldn’t? His 21-year-old daughter is excited about helping elect the first black female president, but her younger brother feels inexplicably drawn to Trump, though he doesn’t know if he’ll ever have the stomach to tell his father who he voted for.Somewhere in America there is an elderly couple that had drifted apart over the years. They only stayed together because they’re too old to find anyone else and moving out would be too much work. The relationship survived on inertia alone. So for years they would sit on the couch at night and silently watch movies together. When Trump began running for president, they started to occasionally turn to Fox News to see what was going on, perhaps because it was the easiest channel to get to. They were drawn in, and became passionate believers in every right-wing cause covered on Hannity, from trans in women sports to border invasions to deep state conspiracies to get Trump. They’d be into QAnon too, only that they still get most of their information from TV and are too old to go down internet rabbit holes. Suddenly, they find that the passion in their relationship is back, as they develop a common cause that brings them closer together. They think that the election might be stolen anyway, but are sure to show up in person on Tuesday so they can help make Trump’s victory too big to rig.Somewhere in America, a lonely Taiwanese immigrant inherited some money as an only child, which she put into real estate in the suburbs of Philadelphia. She had been sexually assaulted while walking home from her job at the laundromat in the inner city when she was younger. When she ruminates about how she never got married, she thinks back to that moment and wonders whether that was why. During the Kavanaugh hearings, she was drawn to Christine Blasey Ford’s story, and couldn’t understand why anyone would lie about something like this. Suddenly, her identity as a woman and an immigrant were activated, and she is now a reliable Democrat voter.Somewhere on Staten Island, a white woman had a similar experience. But she was always a little more extraverted which meant that she ended up getting married, and now has two sons. When she was sexually assaulted, then, she did not blame men, and considered the skin color of her attacker to be more salient. This is a Trump voter. A nation is an imagined community, and most people like to think that their beliefs, prejudices, and aesthetics are shared by the majority of the public. Even self-styled “heretics” who pride themselves on adhering to an unpopular ideology hold that they are somehow channeling the true preferences of their fellow citizens. White nationalists believe that deep down most Americans are just as prejudiced as they are but too scared to be open about it, and socialists think that the vast majority of Americans would vote with them to soak the rich if they could stop being manipulated by Republican hucksters and move beyond their irrational bigotry. For political partisans, events are seen through a tribal lens, and this is more true on matters of aesthetics than anything else. Were all those Kamala Coconut memes fun, even inspiring, or cringe? Did they have the feel of a relaxed backyard barbecue or getting called to the HR office? Were JD Vance’s comments about childless cat ladies forgivable flubs that got at something true regarding how hard it has become to raise children, or an ugly peak into a diseased soul that seeks to impose order on an unpredictable reality by controlling women?As long as leaders have cared about public opinion, every dictatorship in history has claimed that it has the support of the people. Opponents of strongmen say that the masses are only cowed into submission, and would choose a different future if they could. In most times and places throughout history, public opinion has been a black box. Historians do things like try to estimate what percentage of the American public supported seceding from Great Britain, but they’re engaging in guess work.Now, we have public opinion polling, and most importantly, elections. When the Dobbs decision came down in 2022, I thought it probably wouldn’t matter that much. The country was already polarized, and everyone was in one camp or the other. After a string of school shootings, Democrats sometimes believe that enough Americans are going to see the need for tougher gun laws to shake the political landscape. When some new story surrounding trans insanity pops up or the border seems like it’s getting out of control, Republicans likewise get excited and think this is going to make the difference in future elections. Everyone before Dobbs already knew that Republicans were the pro-life party and Democrats were pro-choice, so why should this issue in particular becoming more salient matter?But even though MSNBC is equally appalled by pro-life policies and racist comments by Republicans, the public has made it clear that it considers the former much worse. Abortion has turned out to be in a category all its own in terms of electoral impacts. Americans have heard the arguments that Republicans make about late-term abortions being horrifying, and also Democrats saying that you need government to be nowhere near the gynecologist’s office. With regards to this issue, it’s now clear which side Americans believe poses a greater threat to the kind of country they want to live in. Elites and political activists must adjust accordingly, which is why even a number of red states are about to vote to protect the right to choose and the anti-IVF movement has been stopped dead in its tracks.The point of democracy is not that it always makes correct or wise decisions. Rather, its main strength is in that it gives us processes to ensure the peaceful transfer of power. Less appreciated is how it informs each individual where he stands in relation to his fellow citizens. Do you believe that women should be locked in the kitchen and removed from public life? Or that America is a white nation and minorities don’t belong? Or that the entire economic system is rigged, and private business needs to be expropriated so its resources can be redistributed to the poor? In a dictatorship, people hold on to all kinds of crazy ideas that they can delude themselves into believing are shared by the majority of their fellow citizens. Sure, opinion polling exists, and it can give you a rough estimate of where a country is at on certain issues, but most people have no idea how polling works, and the release of survey results aren’t large public events, open to every non-felon adult in the country and legitimized by the participation of more than half of those eligible. You might not like the kinds of politicians who end up winning elections, but — between presidential contests every four years, and midterm and off-year elections in between — the theocrats, the open bigots, the communists, and the worst haters we have in society are constantly being reminded that they are the minority, and most people want something else. There is value in that. MAGA election denial has the potential to deprive us of that gift, but I expect Republicans to go back to being somewhat normal about this topic once Trump is gone. To many rightists, there is something deeply unappealing about the ignorant masses deciding who gets to rule. Trump gets on stage in Michigan with Muslim community leaders, who seem to be completely unaware of his first term record on the Israeli/Palestinian conflict, at the same time that the most ethnocentric Jews look forward to him coming back into office so Bibi can have a free hand to finish the job. RFK says Trump will take on the corporations and Make America Healthy Again, as he ends up on the same side as food industry and corporate lobbyists who want government to get off the backs of business.People disgusted with public opinion should rest easy, because in the end elites are the ones actually in charge, with swing state voters being called upon to occasionally decide between rival blocs of the ruling class. Having good elites is therefore more important than a public with rational political views. But to be allowed to rule, elites must humble themselves before the voter. Elon Musk has therefore spent the last several months taking time away from building rockets and instead thinking about how to get brain dead schlubs in rural Pennsylvania off their asses long enough to color in a circle with a pen. The Harris campaign is thinking about how to do the same for the Philadelphia ghetto, as Republicans consider what kinds of commercials they can run and which podcasts Trump can go on to peel off enough men from that community to make a difference. The vast majority of the voters of whichever candidate wins won’t be paying all that much attention to the policy choices of the next administration, but they’ll be back in four years to go through the whole process again.I am just grateful that we all get to experience this together. Your next leader will be determined by Graham Hancock Netflix special watchers, anti-vaxx RFK enthusiasts who believe government is hiding the benefits of exercise from you, feminist scholars suffering anxiety under the regime of American “rape culture,” women who failed out of their gender studies programs but still in their hearts aspire to elite status, Pentecostal preachers using numerology to establish to their flock that Trump is our new Cyrus the Great, the Wall Street banker who viscerally dislikes Kamala but was freaked out enough by a Bloomberg analysis of the effects of Trump’s tariffs to reluctantly support her, obese Appalachian rednecks too dejected by life to get excited about much until the topic of Mexican immigrants or Chinese taking their imaginary jobs comes up, Orthodox Jews seeking a greater Israel and Muslim preachers supporting the same candidate as them because they prioritize misogynistic vibes over all else, the Swifties who like wearing sun dresses but were radicalized by attacks on abortion. People whose lives turned around because they listened to Jordan Peterson and cleaned their rooms, detransitioners who have come out of the craziness of the 2010s in a physically diminished state but with more conservative political sensibilities, women who drink red wine at night and get lost in Maddow’s monologues as they seek a reprieve from their monotonous office jobs and the incel who knows he’s going to die alone but sees Trump as the only chance he’ll ever have to get revenge on those who he blames for his miserable existence, especially that Maddow watcher he once had a brief interaction with, which he still seethes over even as she has never given him a second thought. All of these people are now lining up into one of two tribes, and at the end of this process we’re going to see which side is larger, and more importantly which side has the right distribution of support to come to power under the rules of the electoral college. Millions will be elated and millions will be crushed, for reasons that span the range from sensible understandings of what was at stake to fears that are completely disconnected from reality. Be thankful that you live in a healthy, thriving democracy. No dictator could ever produce a spectacle this entertaining. | 2024-11-08T08:04:45 | en | train |
42,026,832 | sonoris | 2024-11-02T15:10:28 | Show HN: Create personalized guided meditation recording | I created an app which lets you tailor and personalize affirmations which are played to you during guided meditation. Simple and short max 10 minutes meditation (depending how long your mantra/affirmation is) for any topic you want to improve in your life. | https://mymantraapp.com | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,839 | lnyan | 2024-11-02T15:11:08 | Dasung Paperlike HD 13.3-Inch E Ink Monitor with 40 Hz Refresh Rate Launched | null | https://goodereader.com/blog/e-paper/dasung-paperlike-hd-13-3-inch-e-ink-monitor-with-40-hz-refresh-rate-launched | 16 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,850 | sandwichsphinx | 2024-11-02T15:12:56 | MTOR: From growth signal integration to cancer, diabetes and ageing (2011) | null | https://www.nature.com/articles/nrm3025 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,863 | h2odragon | 2024-11-02T15:14:48 | Sodium vapor process (film technique) | null | https://en.wikipedia.org/wiki/Sodium_vapor_process | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,864 | speckx | 2024-11-02T15:14:51 | Finding the Authentic Web | null | https://brandons-journal.com/finding-the-authentic-web/ | 3 | 0 | [
42027431
] | null | null | null | null | null | null | null | null | null | train |
42,026,871 | xethos | 2024-11-02T15:15:20 | Apple Forces the Signing of Applications in macOS Sequoia 15.1 | null | https://hackaday.com/2024/11/01/apple-forces-the-signing-of-applications-in-macos-sequoia-15-1/ | 25 | 8 | [
42027287,
42027122,
42031727,
42026936,
42027347
] | null | null | no_error | Apple Forces The Signing Of Applications In MacOS Sequoia 15.1 | 2024-11-02T02:00:35+00:00 | null |
Skip to content
The dialogue that greets you when you try to open an unsigned application in MacOS Sequoia 15.1.
Many MacOS users are probably used by now to the annoyance that comes with unsigned applications, as they require a few extra steps to launch them. This feature is called Gatekeeper and checks for an Apple Developer ID certificate. Starting with MacOS Sequoia 15, the easy bypassing of this feature with e.g. holding Control when clicking the application icon is now no longer an option, with version 15.1 disabling ways to bypass this completely. Not unsurprisingly, this change has caught especially users of open source software like OpenSCAD by surprise, as evidenced by a range of forum posts and GitHub tickets.
The issue of having to sign applications you run on MacOS has been a longstanding point of contention, with HomeBrew applications affected and the looming threat for applications sourced from elsewhere, with OpenSCAD issue ticket #880 from 2014 covering the saga for one OSS project. Now it would seem that to distribute MacOS software you need to have an Apple Developer Program membership, costing $99/year.
So far it appears that this forcing is deliberate on Apple’s side, with the FOSS community still sorting through possible workarounds and the full impact.
Thanks to [Robert Piston] for the tip.
| 2024-11-08T16:24:20 | en | train |
42,026,872 | ERODYCACLODIA | 2024-11-02T15:15:31 | null | null | null | 1 | null | [
42026873,
42026987
] | null | true | null | null | null | null | null | null | null | train |
42,026,875 | triviatroy | 2024-11-02T15:16:16 | null | null | null | 1 | null | [
42026876
] | null | true | null | null | null | null | null | null | null | train |
42,026,886 | thunderbong | 2024-11-02T15:18:09 | Why doesn't Cloudflare use containers in their infrastructure? | null | https://shivangsnewsletter.com/p/why-doesnt-cloudflare-use-containers | 18 | 0 | [
42027423
] | null | null | null | null | null | null | null | null | null | train |
42,026,894 | samwho | 2024-11-02T15:19:17 | Every cron expression in a single enum | null | https://github.com/samwho/everycron | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,898 | pmestha | 2024-11-02T15:20:47 | Ask HN: What books do you recommend for marketing a SaaS? | null | null | 5 | 2 | [
42026926
] | null | null | null | null | null | null | null | null | null | train |
42,026,914 | judell | 2024-11-02T15:22:30 | How to Create Software Diagrams with ChatGPT and Claude | null | https://thenewstack.io/how-to-create-software-diagrams-with-chatgpt-and-claude/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,934 | geox | 2024-11-02T15:25:41 | Wayne Enterprises is selling a $3 million Batmobile | null | https://www.popsci.com/technology/real-batmobile-tumbler/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,942 | gscott | 2024-11-02T15:26:59 | Instagram-famous squirrel named Peanut seized by New York state authorities | null | https://www.cnn.com/2024/11/01/us/instagram-famous-squirrel-peanut-seized-new-york-intl-scli/index.html | 8 | 2 | [
42027086,
42027018
] | null | null | null | null | null | null | null | null | null | train |
42,026,952 | cpldcpu | 2024-11-02T15:28:17 | Multi-Layer Perceptron Visualization | null | https://cpldcpu.github.io/neural-network-visualizer/ | 2 | 0 | null | null | null | no_article | null | null | null | null | 2024-11-08T06:39:04 | null | train |
42,026,966 | jamescthorne | 2024-11-02T15:30:52 | null | null | null | 1 | null | [
42026967
] | null | true | null | null | null | null | null | null | null | train |
42,026,982 | sgoto | 2024-11-02T15:33:45 | Fediverse and Browsers | null | https://github.com/w3c-fedid/idp-registration/issues/15 | 5 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,026,983 | taubek | 2024-11-02T15:34:01 | Vim is 31 years old | null | https://twitter.com/itsfoss2/status/1852599034214601163 | 4 | 2 | [
42027387,
42027342
] | null | null | no_article | null | null | null | null | 2024-11-08T15:43:30 | null | train |
42,026,995 | camjw | 2024-11-02T15:35:43 | Show HN: June.so for LLMs | I'm building Zond, which is turnkey analytics for LLM product.<p>Lot's of analytics products, in my opinion, focus on the testing/evals part of building an LLM product. What Zond does is try to tell you how people are using your product.<p>At the moment the way it works is like a middleware: you swap out your LLM endpoint, then Zond starts capturing your LLM interactions and gives you:<p>- Clustering: so what are the key types of interactions people are having,<p>- Frustration tracking: how often are people saying things like "No, that's stupid" etc.<p>- Power user tracking: who's asking really complicated questions or trying to push your product.<p>- Confidence tracking: how often does the LLM generate responses that have low confidence, as measured by logprobs (only for OpenAI at the moment)<p>- Conversation completion: how often are people giving up<p>- Normal analytics stuff! An integration with Hubspot/Attio is on the roadmap.<p>Looking for beta users so if anyone is interested please let me know! | https://www.zond.dev | 3 | 2 | [
42028693,
42027426
] | null | null | null | null | null | null | null | null | null | train |
42,027,012 | duringmath | 2024-11-02T15:37:41 | Building a REAL pawn that transforms into a queen [video] | null | https://www.youtube.com/watch?v=CSOnnle3zbA | 2 | 0 | null | null | null | no_article | null | null | null | null | 2024-11-08T10:19:19 | null | train |
42,027,017 | vijaykodam | 2024-11-02T15:38:37 | Awesome Generative AI Guide | null | https://github.com/aishwaryanr/awesome-generative-ai-guide | 9 | 0 | [
42027340
] | null | null | fetch failed | null | null | null | null | 2024-11-08T05:02:40 | null | train |
42,027,022 | andsoitis | 2024-11-02T15:39:52 | Why Do Children Die? | null | https://www.gatesnotes.com/Why-do-children-die | 5 | 0 | [
42027249
] | null | null | null | null | null | null | null | null | null | train |
42,027,026 | keepamovin | 2024-11-02T15:39:58 | null | null | null | 3 | null | [
42027324,
42027320
] | null | true | null | null | null | null | null | null | null | train |
42,027,029 | akudha | 2024-11-02T15:40:12 | Ask HN: Could we make a list of lesser known good-for-society projects?n | Found this https://www.privacyguides.org/ in the <i>who is hiring</i> thread. Made me wonder how many such small, lesser known projects there are, doing great work for the good of society?<p>Can we make a list of such projects? They don't need to be digital, just any project that is not well known and could use publicity | null | 5 | 2 | [
42027045,
42027336
] | null | null | null | null | null | null | null | null | null | train |
42,027,036 | dnth | 2024-11-02T15:41:07 | Show HN: X.infer-Framework agnostic computer vision inference | I spent the past 3 weeks building x.infer, a Python package that lets you run computer vision inference on a framework of choice.<p>It currently supports models from transformers, Ultralytics, Timm, vLLM and Ollama. Combined, this covers over 1000+ computer vision models. You can easily add your own model.<p>Repo - <a href="https://github.com/dnth/x.infer">https://github.com/dnth/x.infer</a><p>Colab quickstart - <a href="https://colab.research.google.com/github/dnth/x.infer/blob/main/nbs/quickstart.ipynb" rel="nofollow">https://colab.research.google.com/github/dnth/x.infer/blob/m...</a><p>Why did I make this?<p>It's mostly just for fun. I wanted to practice some design pattern principles I picked up from the past. The code is still messy though but it works.<p>Also, I enjoy playing around with new vision models, but not so much learning about the framework it's written with.<p>I'm working on this during my free time. Contributions/feedback are more than welcome! Hope this also helps you (especially newcomers) to experiment and play around with new vision models. | https://github.com/dnth/x.infer | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,037 | ashvardanian | 2024-11-02T15:41:09 | Is Prefix of String in Table? A Journey into SIMD String Processing | null | https://trent.me/articles/is-prefix-of-string-in-table/ | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,043 | fanf2 | 2024-11-02T15:42:02 | Smoothed asymptotics: from number theory to quantum field theory | null | https://arxiv.org/abs/2401.10981 | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,044 | tjwds | 2024-11-02T15:42:19 | The Guy Behind the Fake AI Halloween Parade Listing Says You've Got It All Wrong | null | https://www.wired.com/story/ai-halloween-parade-listing-dublin-interview/ | 5 | 0 | [
42027293
] | null | null | null | null | null | null | null | null | null | train |
42,027,057 | etkmlm | 2024-11-02T15:44:19 | Launching Minecraft: Core Launcher | null | https://etkmlm.github.io/CoreLauncher/ | 1 | 1 | [
42027058
] | null | null | missing_parsing | Core Launcher | null | null |
Open, customize, play.
Installer
Portable
Wiki and Source
| 2024-11-08T06:36:42 | null | train |
42,027,074 | paulpauper | 2024-11-02T15:46:22 | Should Notre Dame charge admission? | null | https://www.bloomberg.com/opinion/articles/2024-11-01/notre-dame-cathedral-is-worth-a-price-of-admission | 2 | 1 | [
42027242,
42027331
] | null | null | null | null | null | null | null | null | null | train |
42,027,085 | rbanffy | 2024-11-02T15:48:22 | From Python to CPU Instructions: Part 1 – By Dilovan Celik | null | https://dilovan.substack.com/p/from-python-to-cpu-instructions-part | 4 | 0 | [
42027315
] | null | null | null | null | null | null | null | null | null | train |
42,027,087 | paulpauper | 2024-11-02T15:48:53 | When Fancy Appliances Fall Short | null | https://www.theatlantic.com/newsletters/archive/2024/11/fancy-appliances-leafblowers/680505/ | 3 | 0 | [
42027310
] | null | null | null | null | null | null | null | null | null | train |
42,027,089 | olayhabercomtr | 2024-11-02T15:49:05 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,027,090 | rbanffy | 2024-11-02T15:49:12 | Investigation of a Workbench UI Latency Issue | null | https://netflixtechblog.com/investigation-of-a-workbench-ui-latency-issue-faa017b4653d | 1 | 0 | null | null | null | missing_parsing | Investigation of a Workbench UI Latency Issue - Netflix TechBlog | 2024-10-14T20:02:31.194Z | Netflix Technology Blog | By: Hechao Li and Marcelo MaywormWith special thanks to our stunning colleagues Amer Ather, Itay Dafna, Luca Pozzi, Matheus Leão, and Ye Ji.OverviewAt Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Workbench is a remote development workspace based on Titus that allows data practitioners to work with big data and machine learning use cases at scale. A common use case for Workbench is running JupyterLab Notebooks.Recently, several users reported that their JupyterLab UI becomes slow and unresponsive when running certain notebooks. This document details the intriguing process of debugging this issue, all the way from the UI down to the Linux kernel.SymptomMachine Learning engineer Luca Pozzi reported to our Data Platform team that their JupyterLab UI on their workbench becomes slow and unresponsive when running some of their Notebooks. Restarting the ipykernel process, which runs the Notebook, might temporarily alleviate the problem, but the frustration persists as more notebooks are run.Quantify the SlownessWhile we observed the issue firsthand, the term “UI being slow” is subjective and difficult to measure. To investigate this issue, we needed a quantitative analysis of the slowness.Itay Dafna devised an effective and simple method to quantify the UI slowness. Specifically, we opened a terminal via JupyterLab and held down a key (e.g., “j”) for 15 seconds while running the user’s notebook. The input to stdin is sent to the backend (i.e., JupyterLab) via a WebSocket, and the output to stdout is sent back from the backend and displayed on the UI. We then exported the .har file recording all communications from the browser and loaded it into a Notebook for analysis.Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 seconds.Blame The NotebookNow that we have an objective metric for the slowness, let’s officially start our investigation. If you have read the symptom carefully, you must have noticed that the slowness only occurs when the user runs certain notebooks but not others.Therefore, the first step is scrutinizing the specific Notebook experiencing the issue. Why does the UI always slow down after running this particular Notebook? Naturally, you would think that there must be something wrong with the code running in it.Upon closely examining the user’s Notebook, we noticed a library called pystan , which provides Python bindings to a native C++ library called stan, looked suspicious. Specifically, pystan uses asyncio. However, because there is already an existing asyncio event loop running in the Notebook process and asyncio cannot be nested by design, in order for pystan to work, the authors of pystan recommend injecting pystan into the existing event loop by using a package called nest_asyncio, a library that became unmaintained because the author unfortunately passed away.Given this seemingly hacky usage, we naturally suspected that the events injected by pystan into the event loop were blocking the handling of the WebSocket messages used to communicate with the JupyterLab UI. This reasoning sounds very plausible. However, the user claimed that there were cases when a Notebook not using pystan runs, the UI also became slow.Moreover, after several rounds of discussion with ChatGPT, we learned more about the architecture and realized that, in theory, the usage of pystan and nest_asyncio should not cause the slowness in handling the UI WebSocket for the following reasons:Even though pystan uses nest_asyncio to inject itself into the main event loop, the Notebook runs on a child process (i.e., the ipykernel process) of the jupyter-lab server process, which means the main event loop being injected by pystan is that of the ipykernel process, not the jupyter-server process. Therefore, even if pystan blocks the event loop, it shouldn’t impact the jupyter-lab main event loop that is used for UI websocket communication. See the diagram below:In other words, pystan events are injected to the event loop B in this diagram instead of event loop A. So, it shouldn’t block the UI WebSocket events.You might also think that because event loop A handles both the WebSocket events from the UI and the ZeroMQ socket events from the ipykernel process, a high volume of ZeroMQ events generated by the notebook could block the WebSocket. However, when we captured packets on the ZeroMQ socket while reproducing the issue, we didn’t observe heavy traffic on this socket that could cause such blocking.A stronger piece of evidence to rule out pystan was that we were ultimately able to reproduce the issue even without it, which I’ll dive into later.Blame Noisy NeighborsThe Workbench instance runs as a Titus container. To efficiently utilize our compute resources, Titus employs a CPU oversubscription feature, meaning the combined virtual CPUs allocated to containers exceed the number of available physical CPUs on a Titus agent. If a container is unfortunate enough to be scheduled alongside other “noisy” containers — those that consume a lot of CPU resources — it could suffer from CPU deficiency.However, after examining the CPU utilization of neighboring containers on the same Titus agent as the Workbench instance, as well as the overall CPU utilization of the Titus agent, we quickly ruled out this hypothesis. Using the top command on the Workbench, we observed that when running the Notebook, the Workbench instance uses only 4 out of the 64 CPUs allocated to it. Simply put, this workload is not CPU-bound.Blame The NetworkThe next theory was that the network between the web browser UI (on the laptop) and the JupyterLab server was slow. To investigate, we captured all the packets between the laptop and the server while running the Notebook and continuously pressing ‘j’ in the terminal.When the UI experienced delays, we observed a 5-second pause in packet transmission from server port 8888 to the laptop. Meanwhile, traffic from other ports, such as port 22 for SSH, remained unaffected. This led us to conclude that the pause was caused by the application running on port 8888 (i.e., the JupyterLab process) rather than the network.The Minimal ReproductionAs previously mentioned, another strong piece of evidence proving the innocence of pystan was that we could reproduce the issue without it. By gradually stripping down the “bad” Notebook, we eventually arrived at a minimal snippet of code that reproduces the issue without any third-party dependencies or complex logic:import timeimport osfrom multiprocessing import ProcessN = os.cpu_count()def launch_worker(worker_id): time.sleep(60)if __name__ == '__main__': with open('/root/2GB_file', 'r') as file: data = file.read() processes = [] for i in range(N): p = Process(target=launch_worker, args=(i,)) processes.append(p) p.start() for p in processes: p.join()The code does only two things:Read a 2GB file into memory (the Workbench instance has 480G memory in total so this memory usage is almost negligible).Start N processes where N is the number of CPUs. The N processes do nothing but sleep.There is no doubt that this is the most silly piece of code I’ve ever written. It is neither CPU bound nor memory bound. Yet it can cause the JupyterLab UI to stall for as many as 10 seconds!QuestionsThere are a couple of interesting observations that raise several questions:We noticed that both steps are required in order to reproduce the issue. If you don’t read the 2GB file (that is not even used!), the issue is not reproducible. Why using 2GB out of 480GB memory could impact the performance?When the UI delay occurs, the jupyter-lab process CPU utilization spikes to 100%, hinting at contention on the single-threaded event loop in this process (event loop A in the diagram before). What does the jupyter-lab process need the CPU for, given that it is not the process that runs the Notebook?The code runs in a Notebook, which means it runs in the ipykernel process, that is a child process of the jupyter-lab process. How can anything that happens in a child process cause the parent process to have CPU contention?The workbench has 64CPUs. But when we printed os.cpu_count(), the output was 96. That means the code starts more processes than the number of CPUs. Why is that?Let’s answer the last question first. In fact, if you run lscpu and nproc commands inside a Titus container, you will also see different results — the former gives you 96, which is the number of physical CPUs on the Titus agent, whereas the latter gives you 64, which is the number of virtual CPUs allocated to the container. This discrepancy is due to the lack of a “CPU namespace” in the Linux kernel, causing the number of physical CPUs to be leaked to the container when calling certain functions to get the CPU count. The assumption here is that Python os.cpu_count() uses the same function as the lscpu command, causing it to get the CPU count of the host instead of the container. Python 3.13 has a new call that can be used to get the accurate CPU count, but it’s not GA’ed yet.It will be proven later that this inaccurate number of CPUs can be a contributing factor to the slowness.More CluesNext, we used py-spy to do a profiling of the jupyter-lab process. Note that we profiled the parent jupyter-lab process, not the ipykernel child process that runs the reproduction code. The profiling result is as follows:As one can see, a lot of CPU time (89%!!) is spent on a function called __parse_smaps_rollup. In comparison, the terminal handler used only 0.47% CPU time. From the stack trace, we see that this function is inside the event loop A, so it can definitely cause the UI WebSocket events to be delayed.The stack trace also shows that this function is ultimately called by a function used by a Jupyter lab extension called jupyter_resource_usage. We then disabled this extension and restarted the jupyter-lab process. As you may have guessed, we could no longer reproduce the slowness!But our puzzle is not solved yet. Why does this extension cause the UI to slow down? Let’s keep digging.Root Cause AnalysisFrom the name of the extension and the names of the other functions it calls, we can infer that this extension is used to get resources such as CPU and memory usage information. Examining the code, we see that this function call stack is triggered when an API endpoint /metrics/v1 is called from the UI. The UI apparently calls this function periodically, according to the network traffic tab in Chrome’s Developer Tools.Now let’s look at the implementation starting from the call get(jupter_resource_usage/api.py:42) . The full code is here and the key lines are shown below:cur_process = psutil.Process()all_processes = [cur_process] + cur_process.children(recursive=True)for p in all_processes: info = p.memory_full_info()Basically, it gets all children processes of the jupyter-lab process recursively, including both the ipykernel Notebook process and all processes created by the Notebook. Obviously, the cost of this function is linear to the number of all children processes. In the reproduction code, we create 96 processes. So here we will have at least 96 (sleep processes) + 1 (ipykernel process) + 1 (jupyter-lab process) = 98 processes when it should actually be 64 (allocated CPUs) + 1 (ipykernel process) + 1 (jupyter-lab process) = 66 processes, because the number of CPUs allocated to the container is, in fact, 64.This is truly ironic. The more CPUs we have, the slower we are!At this point, we have answered one question: Why does starting many grandchildren processes in the child process cause the parent process to be slow? Because the parent process runs a function that’s linear to the number all children process recursively.However, this solves only half of the puzzle. If you remember the previous analysis, starting many child processes ALONE doesn’t reproduce the issue. If we don’t read the 2GB file, even if we create 2x more processes, we can’t reproduce the slowness.So now we must answer the next question: Why does reading a 2GB file in the child process affect the parent process performance, especially when the workbench has as much as 480GB memory in total?To answer this question, let’s look closely at the function __parse_smaps_rollup. As the name implies, this function parses the file /proc/<pid>/smaps_rollup.def _parse_smaps_rollup(self): uss = pss = swap = 0 with open_binary("{}/{}/smaps_rollup".format(self._procfs_path, self.pid)) as f: for line in f: if line.startswith(b”Private_”): # Private_Clean, Private_Dirty, Private_Hugetlb s uss += int(line.split()[1]) * 1024 elif line.startswith(b”Pss:”): pss = int(line.split()[1]) * 1024 elif line.startswith(b”Swap:”): swap = int(line.split()[1]) * 1024return (uss, pss, swap)Naturally, you might think that when memory usage increases, this file becomes larger in size, causing the function to take longer to parse. Unfortunately, this is not the answer because:First, the number of lines in this file is constant for all processes.Second, this is a special file in the /proc filesystem, which should be seen as a kernel interface instead of a regular file on disk. In other words, I/O operations of this file are handled by the kernel rather than disk.This file was introduced in this commit in 2017, with the purpose of improving the performance of user programs that determine aggregate memory statistics. Let’s first focus on the handler of open syscall on this /proc/<pid>/smaps_rollup.Following through the single_open function, we will find that it uses the function show_smaps_rollup for the show operation, which can translate to the read system call on the file. Next, we look at the show_smaps_rollup implementation. You will notice a do-while loop that is linear to the virtual memory area.static int show_smaps_rollup(struct seq_file *m, void *v) { … vma_start = vma->vm_start; do { smap_gather_stats(vma, &mss, 0); last_vma_end = vma->vm_end; … } for_each_vma(vmi, vma); …}This perfectly explains why the function gets slower when a 2GB file is read into memory. Because the handler of reading the smaps_rollup file now takes longer to run the while loop. Basically, even though smaps_rollup already improved the performance of getting memory information compared to the old method of parsing the /proc/<pid>/smaps file, it is still linear to the virtual memory used.More Quantitative AnalysisEven though at this point the puzzle is solved, let’s conduct a more quantitative analysis. How much is the time difference when reading the smaps_rollup file with small versus large virtual memory utilization? Let’s write some simple benchmark code like below:import osdef read_smaps_rollup(pid): with open("/proc/{}/smaps_rollup".format(pid), "rb") as f: for line in f: passif __name__ == “__main__”: pid = os.getpid() read_smaps_rollup(pid) with open(“/root/2G_file”, “rb”) as f: data = f.read() read_smaps_rollup(pid)This program performs the following steps:Reads the smaps_rollup file of the current process.Reads a 2GB file into memory.Repeats step 1.We then use strace to find the accurate time of reading the smaps_rollup file.$ sudo strace -T -e trace=openat,read python3 benchmark.py 2>&1 | grep “smaps_rollup” -A 1openat(AT_FDCWD, “/proc/3107492/smaps_rollup”, O_RDONLY|O_CLOEXEC) = 3 <0.000023>read(3, “560b42ed4000–7ffdadcef000 — -p 0”…, 1024) = 670 <0.000259>...openat(AT_FDCWD, “/proc/3107492/smaps_rollup”, O_RDONLY|O_CLOEXEC) = 3 <0.000029>read(3, “560b42ed4000–7ffdadcef000 — -p 0”…, 1024) = 670 <0.027698>As you can see, both times, the read syscall returned 670, meaning the file size remained the same at 670 bytes. However, the time it took the second time (i.e., 0.027698 seconds) is 100x the time it took the first time (i.e., 0.000259 seconds)! This means that if there are 98 processes, the time spent on reading this file alone will be 98 * 0.027698 = 2.7 seconds! Such a delay can significantly affect the UI experience.SolutionThis extension is used to display the CPU and memory usage of the notebook process on the bar at the bottom of the Notebook:We confirmed with the user that disabling the jupyter-resource-usage extension meets their requirements for UI responsiveness, and that this extension is not critical to their use case. Therefore, we provided a way for them to disable the extension.SummaryThis was such a challenging issue that required debugging from the UI all the way down to the Linux kernel. It is fascinating that the problem is linear to both the number of CPUs and the virtual memory size — two dimensions that are generally viewed separately.Overall, we hope you enjoyed the irony of:The extension used to monitor CPU usage causing CPU contention.An interesting case where the more CPUs you have, the slower you get!If you’re excited by tackling such technical challenges and have the opportunity to solve complex technical challenges and drive innovation, consider joining our Data Platform teams. Be part of shaping the future of Data Security and Infrastructure, Data Developer Experience, Analytics Infrastructure and Enablement, and more. Explore the impact you can make with us! | 2024-11-08T17:51:03 | null | train |
42,027,091 | cwwc | 2024-11-02T15:49:22 | Chinese hackers had access to Canadian government systems for years | null | https://www.techradar.com/pro/security/chinese-hackers-had-access-to-canadian-government-systems-for-years | 25 | 1 | [
42029056,
42027408,
42032719
] | null | null | null | null | null | null | null | null | null | train |
42,027,095 | rbanffy | 2024-11-02T15:49:48 | Zero Downtime Django Deployments with Multistep Database Changes – Johnny Metz | null | https://johnnymetz.com/posts/multistep-database-changes/ | 5 | 0 | [
42027305
] | null | null | null | null | null | null | null | null | null | train |
42,027,098 | thunderbong | 2024-11-02T15:50:19 | We've seen particles that are massless only when moving one direction | null | https://www.newscientist.com/article/2454508-weve-seen-particles-that-are-massless-only-when-moving-one-direction/ | 6 | 1 | [
42027221,
42027289
] | null | null | null | null | null | null | null | null | null | train |
42,027,099 | belter | 2024-11-02T15:50:22 | Musk Could Have US Citizenship Revoked If He Lied on Immigration Forms | null | https://www.wired.com/story/elon-musk-citizenship-revoked-denaturalized/ | 30 | 59 | [
42027218,
42027227,
42027148,
42027286,
42027181,
42027203,
42027206
] | null | null | null | null | null | null | null | null | null | train |
42,027,121 | geox | 2024-11-02T15:54:14 | Mayor Adams issues drought watch for NYC | null | https://gothamist.com/news/mayor-adams-issues-drought-watch-for-nyc-after-dangerously-dry-october | 3 | 0 | [
42027294
] | null | null | null | null | null | null | null | null | null | train |
42,027,124 | rbanffy | 2024-11-02T15:54:37 | Sysprog-JLS/SIM6502: A 6502 Simulator / Emulator that runs under MVS 3.8J (TK5) | null | https://github.com/SYSPROG-JLS/SIM6502 | 2 | 0 | [
42027302
] | null | null | null | null | null | null | null | null | null | train |
42,027,131 | adrian_mrd | 2024-11-02T15:55:09 | 'Welfare for the rich': how farm subsidies wrecked Europe's landscapes | null | https://www.theguardian.com/environment/2024/nov/02/farm-subsidies-wrecked-europe-environments-common-agricultural-policy | 12 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,133 | danpinto | 2024-11-02T15:55:26 | Demo: Exploiting leaked timestamps from Google Chrome extensions | null | https://fingerprint.com/blog/exploiting-leaked-timestamps-google-chrome-extensions/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,141 | PaulHoule | 2024-11-02T15:56:47 | Context-Augmented Code Generation Using Programming Knowledge Graphs | null | https://arxiv.org/abs/2410.18251 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,146 | oco101 | 2024-11-02T15:57:09 | Study finds comb jellies can reverse age | null | https://phys.org/news/2024-10-young-jellies-age-reverse.html | 4 | 0 | null | null | null | http_other_error | Just a moment... | null | null | Please complete security verificationThis request seems a bit unusual, so we need to confirm that you're human. Please press and hold the button until it turns completely green. Thank you for your cooperation!Press and hold the buttonIf you believe this is an error, please contact our support team.88.216.233.107 : 9a4f0494-e840-4819-8c79-3f4bc5c6 | 2024-11-08T03:01:33 | null | train |
42,027,162 | GlebShalimov | 2024-11-02T16:00:54 | How to work with Dynamic Island in the Flutter application | null | https://medium.com/@khlebobul/how-to-work-with-dynamic-island-in-the-flutter-application-89851b0d9887 | 2 | 1 | [
42027163
] | null | null | no_error | How to work with Dynamic Island in the Flutter application | 2024-11-02T15:51:57.154Z | Gleb Shalimov | I really like it when developers and designers add little details to an app. It shows that they really care about their user. In this article, I will discuss how to make your app a little cuter for the user with Dynamic Island and a little pet.It has long been an axiom of mine that the little things are infinitely the most important.– Sir Arthur Conan Doyle, The Memoirs of Sherlock HolmesYou’ve probably seen examples like this on the App Store since the iPhone 14 was born. I think this is a very cool addition to your project or even a standalone project. There’s even a whole collection of similar apps.This app put a kitten on my iPhone 14 Pro and I adore it so muchLet’s now move on to our friend Flutter and see how such functionality can be implemented. Personally, I thought there was a ready-made package or similar project, but they are not in high demand or implement the wrong functionality. There’s the live_activities package for example, it’s a good one, but it’s a lot more complex functionality than what I need.I will add a link to the final version of the code at the end of the article.I set out to accomplish this with minimal effort. The idea is to mimic a widget that resembles Dynamic Island, then add it under the real “island”, and then add a moving element on our created widget. First, you need to consider the orientation of the device, because our dynamic island does not turn over. The easiest way to avoid this is to add this code to your application, which is exactly responsible for blocking the horizontal orientation.I’ll talk a little later about how to keep the horizontal orientation and still avoid this situation.void main() { WidgetsFlutterBinding.ensureInitialized();SystemChrome.setPreferredOrientations([DeviceOrientation.portraitUp]) .then((_) { runApp(const MyApp()); });}I will purposely not position our element yet and make it red.And here’s what happens if you don’t disable horizontal orientation.And here is the code to create such a block ⬇️Scaffold( backgroundColor: Colors.white, body: Stack( children: [ Positioned( top: 100, left: 0, right: 0, child: Center( child: Container( height: 36, width: 125, decoration: BoxDecoration( color: Colors.red, borderRadius: BorderRadius.circular(20), ), ), ), ), ], ),);Now let’s do the positioning of our element and add a moving element ⬇️Scaffold( backgroundColor: Colors.white, body: Stack( children: [ Positioned( top: 11, left: 0, right: 0, child: Center( child: Stack( alignment: Alignment.topCenter, children: [ Container( height: 36, width: 125, decoration: BoxDecoration( color: Colors.red, borderRadius: BorderRadius.circular(20), ), ), AnimatedBuilder( animation: _animation, builder: (context, child) { return Transform.translate( offset: Offset(_animation.value * 50, -12), child: const Icon( Icons.star, color: Colors.amber, size: 15, ), ); }, ), ], ), ), ), ], ),);Now our project is ready…OopsWe completely forgot about the fact that not all devices support Dynamic Island. You can use the has_dynamic_island package to fix this situation, but I preferred to make my own solution using device information and device_info_plus.import 'package:device_info_plus/device_info_plus.dart';import 'dart:io' show Platform;import 'package:flutter/material.dart';class DeviceInfo { static final DeviceInfoPlugin _deviceInfo = DeviceInfoPlugin(); static Future<bool> hasDynamicIsland() async { if (Platform.isIOS) { try { final iosInfo = await _deviceInfo.iosInfo; final dynamicIslandModels = [ 'iPhone14,3', 'iPhone14,4', 'iPhone15,2', 'iPhone15,3', 'iPhone15,4', 'iPhone15,5', 'iPhone16,1', 'iPhone16,2', 'iPhone16,3', 'iPhone16,4', ]; return dynamicIslandModels.contains(iosInfo.utsname.machine); } catch (e) { debugPrint('Error checking for dynamic island: $e'); return false; } } return false; }}Let’s break this down in more detail: The first number (e.g., 14 or 15) usually indicates the generation of the iPhone. The second number after the decimal point designates the specific model within that generation. This numbering is not always sequential and can vary depending on Apple’s product strategy.Here’s what these numbers mean in your list:iPhone14,3 — iPhone 14 ProiPhone14,4 — iPhone 14 Pro MaxiPhone15,2 — iPhone 15 Pro…And this is the result we gotLet’s try minimising our application and bringing up Task Manager. Then we’ll see that it’s not the result we want to see, since we talked about small details in the beginning, this is something we definitely shouldn’t miss.To fix this, we need to monitor the state when the application is displayed from Task Manager and not show the widget in that case. For this we can use WidgetsBindingObserver and didChangeAppLifecycleState method.bool _isInForeground = true;@overridevoid initState() { super.initState(); WidgetsBinding.instance.addObserver(this); _checkForDynamicIsland();}@overridevoid dispose() { WidgetsBinding.instance.removeObserver(this); super.dispose();}@overridevoid didChangeAppLifecycleState(AppLifecycleState state) { setState(() { _isInForeground = state == AppLifecycleState.resumed; });}if (_hasDynamicIsland && _isInForeground) const DynamicIsland(),We added with WidgetsBindingObserver to the _MyHomePageState class to be able to track changes in the application lifecycle.We added a new _isInForeground variable that indicates if the application is in the foreground.In the initState() method, we add an observer: WidgetsBinding.instance.addObserver(this);In the dispose() method, we remove the observer: WidgetsBinding.instance.removeObserver(this);Using a similar method, we can also track screen flipping so that our widget is not selected in a horizontal state.Well, I decided to add a Dash bird at the endScaffold( backgroundColor: Colors.white, body: Stack( children: [ if (_hasDynamicIsland && _isInForeground) DynamicIsland( animationDuration: const Duration(milliseconds: 2000), startOffset: -1.0, endOffset: 1.0, reverse: false, child: Image.asset( 'assets/dash.png', height: 15, width: 15, ), ), ], ), ); | 2024-11-08T20:50:21 | en | train |
42,027,172 | subtlebits | 2024-11-02T16:02:57 | Show HN: OpenQuest, connect with people around a shared goal for a short time | Hey everyone!<p>I built a little side project called OpenQuest over the last three weeks, and I'm looking for some feedback to see if it's worth taking further.<p>The idea is simple: it's a place to create a chat room where you can connect with people (a maximum of 8) who have the same goal as you, for a short time (7 days for now).<p>Think of it as a way to stay motivated, hold each other accountable, or simply work together with new people on something specific.<p>Some examples can be:<p><pre><code> - Following a programming course
- Reading a book
- Getting back to the gym
- Cleaning up your home
- Shopping for a mechanical keyboard
</code></pre>
For example, here's a room I created to get things going: <a href="https://openquest.app/rooms/6" rel="nofollow">https://openquest.app/rooms/6</a><p>Why did I build this?<p>Mostly as a response to what the internet feels like these days. Social media is to me an overwhelmingly negative time waster, where it feels like we're uniting more around things we hate than common interests. And search engines are so SEO-optimized that it's now almost impossible to find new and genuine things. Crowdsourcing research, even for something simple like shopping for a new graphics card, seems like it could be more enjoyable with a small group of people going through the same thing.<p>And if anyone is interested: the tech stack is Elixir + Phoenix + LiveView.<p>I’d love to hear what you think, whether it’s positive, negative, or somewhere in between. Any feedback is helpful, please don’t hold back.<p>Thanks for taking a look! | https://openquest.app | 7 | 3 | [
42035646,
42027837
] | null | null | null | null | null | null | null | null | null | train |
42,027,174 | Brajeshwar | 2024-11-02T16:03:04 | NHS pilots new iPhone adapter to check patients for throat cancer | null | https://news.sky.com/story/nhs-pilots-new-iphone-adapter-to-check-patients-for-throat-cancer-13246070 | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,175 | Brajeshwar | 2024-11-02T16:03:11 | Windows 10 given an extra year of supported life, for $30 | null | https://www.theregister.com/2024/10/31/microsoft_windows_10_support/ | 3 | 5 | [
42028365,
42027300,
42027280
] | null | null | missing_parsing | Windows 10 given an extra year of supported life, for $30 | 2024-10-31T21:58:08Z | Iain Thomson |
Microsoft has thrown a lifeline to Windows 10 users ahead of the OS going end-of-life, by offering an extra year of patches for $30.
Support for Windows 10 ends in October 2025 and Redmond is pushing people to upgrade to Windows 11, with mixed success to date – as of last month, Windows 10 had 62.75 percent of Redmond's OS market share, compared to 33.42 percent for the newer version ago.
Perhaps that's why the software behemoth has decided to offer Extended Security Updates – previously only available for business, education, and government users – to anyone who wants them.
"For the first time ever, we're introducing an ESU program for personal use as well," wrote Yusuf Mehdi, consumer chief marketing officer at Microsoft. "The ESU program for consumers will be a one-year option available for $30. Program enrollment will be available closer to the end of support in 2025."
This will be a boon to those who don't care to upgrade or who can't because their PCs aren't capable of running Windows 11.
Enterprise users can pay $61 per device for an extra year of support, but that doubles the next year to $122, and again to $244 in year three. Users in the education sector have it much easier – they pay $1 per license for the first year, then $2, and then $4 per Windows 10 machine.
One-year countdown to 'biggest Ctrl-Alt-Delete in history' as Windows 10 approaches end of support
After 3 years, Windows 11 has more than half Windows 10's market share
AI to power the corporate Windows 11 refresh? Nobody's buying that
Microsoft releases Windows 11 Insider Preview, attempts to defend labyrinth of hardware requirements
Windows 11 is one of Microsoft's most poorly performing operating systems, in part due to the powerful hardware it requires. Chipmakers and PC players expect the need for upgrades to bring a payday, but that hasn't happened yet.
Part of the problem, as The Register readers have noted on our forums, is that Windows 11 isn't a significant improvement over its predecessor. While Redmond repeatedly touts the benefits of Copilot and AI, it doesn't seem to be an incentive for many people to rip and replace their hardware to take care of it.
Microsoft also risks driving users to non-Windows machines. With Apple's market share steadily growing in the US – and the iPhone's popularity – many may consider making the switch.
Or perhaps 2025 will be the year of Linux on the desktop. ®
| 2024-11-08T17:27:03 | null | train |
42,027,176 | Brajeshwar | 2024-11-02T16:03:18 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,027,177 | mixeden | 2024-11-02T16:03:22 | Leveraging Large Language Models for Code Translation and Software Development | null | https://synthical.com/article/Leveraging-Large-Language-Models-for-Code-Translation-and-Software-Development-in-Scientific-Computing-6dbaab20-80e9-4755-a8f5-72d855c28fae | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,179 | AbenezerDaniel | 2024-11-02T16:03:31 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,027,187 | rbbydotdev | 2024-11-02T16:04:40 | Show HN: Someday, Open-Source Calendly Alternative for Gmail / Google App Script | Free and open-source. Simple alternative to cal.com / calendly, built on Google-App-Script for Gmail users. Built with modern technologies like React, TypeScript, Shadcn/UI, and Vite. | https://github.com/rbbydotdev/someday | 308 | 51 | [
42028711,
42029089,
42028411,
42036143,
42027598,
42027646,
42028248,
42027627,
42030386,
42027520,
42027247,
42028892,
42031246,
42027523,
42029239,
42027996
] | null | null | null | null | null | null | null | null | null | train |
42,027,245 | Shreesha_Bhat | 2024-11-02T16:11:54 | Show HN: Making silent movie accessible to blind community via Gemini,Elevenlabs | null | https://www.kaggle.com/code/shreeshabhat1004/enhancing-silent-films-for-blind-audiences-by-ad | 9 | 3 | [
42027246,
42028103,
42027307
] | null | null | null | null | null | null | null | null | null | train |
42,027,308 | chipdart | 2024-11-02T16:19:41 | Killing the Command message: should we use Events or Documents? (2007) | null | https://learn.microsoft.com/en-us/archive/blogs/nickmalik/killing-the-command-message-should-we-use-events-or-documents | 9 | 1 | [
42027319,
42027596
] | null | null | null | null | null | null | null | null | null | train |
42,027,327 | rntn | 2024-11-02T16:22:25 | Yamaha throws in the towel, pulls out of e-bike market in North America | null | https://electrek.co/2024/11/02/yamaha-throws-in-the-towel-pulls-out-of-e-bike-market-in-north-america/ | 5 | 0 | [
42027366
] | null | null | null | null | null | null | null | null | null | train |
42,027,333 | astropat | 2024-11-02T16:23:00 | Show HN: I built an app that turns long-form articles into LinkedIn posts | Hey,<p>Ever felt Linkedin was overwhelmed with marketing and corpo posts everywhere?<p>That was me.<p>So I decided to post educational content on Linkedin with some AI assistance.<p>Problem: this takes a lot of time. Really.<p>And the existing post generators suck in science and engineering communication. They are tailored for marketers and for telling life stories, etc.<p>I needed something tailored for engineers and tech entrepreneurs.<p>I needed an app where we can ingest research papers, generating good drafts for compelling linkedin posts.<p>So...<p>I built it.<p>I have just a few users, and want to launch a public beta.<p>So here it is.
- 20 credits to try for everyone who joins.<p>It's my first product as indie hacker - feedback would be amazing. | https://paperus.tech/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,343 | mixeden | 2024-11-02T16:24:33 | TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters | null | https://synthical.com/article/TokenFormer%3A-Rethinking-Transformer-Scaling-with-Tokenized-Model-Parameters-aa257d0b-8db2-43fa-bbdc-30d8b20752eb | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,350 | trailbase | 2024-11-02T16:25:08 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,027,358 | perdomon | 2024-11-02T16:25:54 | Steve Sims Interview on Soft White Underbelly [video] | null | https://www.youtube.com/watch?v=G8GEp0aM0dg | 6 | 1 | [
42031861,
42027463
] | null | null | null | null | null | null | null | null | null | train |
42,027,377 | mfrw | 2024-11-02T16:29:16 | Ranging over Functions in Go 1.23 | null | https://eli.thegreenplace.net/2024/ranging-over-functions-in-go-123/ | 26 | 1 | [
42035728
] | null | null | null | null | null | null | null | null | null | train |
42,027,391 | mostech | 2024-11-02T16:31:06 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,027,393 | rbanffy | 2024-11-02T16:31:40 | Sandia to Deploy NextSilicon's 'Intelligent Compute Accelerator' | null | https://insidehpc.com/2024/10/move-over-von-neumann-sandia-to-deploy-nextsilicons-intelligent-compute-accelerator/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,394 | teleforce | 2024-11-02T16:31:45 | Hands-On Large Language Models | null | https://www.llm-book.com/ | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,398 | amichail | 2024-11-02T16:32:13 | Investigation Update: E. Coli Outbreak, Onions Served at McDonald's | null | https://www.cdc.gov/ecoli/outbreaks/investigation-update-e-coli-o157-2024.html | 4 | 0 | [
42027541
] | null | null | null | null | null | null | null | null | null | train |
42,027,399 | bookofjoe | 2024-11-02T16:32:16 | Space may be worse for humans than thought | null | https://www.economist.com/science-and-technology/2024/10/30/space-may-be-worse-for-humans-than-thought | 9 | 2 | [
42027401,
42032738
] | null | null | null | null | null | null | null | null | null | train |
42,027,407 | JumpCrisscross | 2024-11-02T16:34:57 | Relativity Space Faces Cash Drain, Exploring Options | null | https://www.bloomberg.com/news/articles/2024-11-01/relativity-space-is-said-to-face-cash-drain-exploring-options | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,409 | amavashev | 2024-11-02T16:35:49 | Create, train and launch personalized AI Agents | null | https://scalerx.ai/ | 2 | 0 | [
42027410
] | null | null | null | null | null | null | null | null | null | train |
42,027,418 | paulpauper | 2024-11-02T16:37:21 | We Are All on the Bus | null | https://www.tabletmag.com/sections/arts-letters/articles/we-are-all-on-the-bus | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,419 | amichail | 2024-11-02T16:37:23 | Man sees deadly brain tumour shrink by half thanks to new treatment | null | https://metro.co.uk/2024/10/29/man-sees-deadly-brain-tumour-shrink-half-thanks-new-treatment-21879876/ | 1 | 0 | [
42027483
] | null | null | null | null | null | null | null | null | null | train |
42,027,420 | paulpauper | 2024-11-02T16:37:34 | A Prescription for Fixing the US Healthcare System | null | https://conversableeconomist.com/2024/10/22/a-prescription-for-fixing-the-us-healthcare-system/ | 11 | 12 | [
42028982,
42035320,
42029245,
42029091,
42029100
] | null | null | null | null | null | null | null | null | null | train |
42,027,421 | jose455423 | 2024-11-02T16:37:48 | null | null | null | 1 | null | [
42027422
] | null | true | null | null | null | null | null | null | null | train |
42,027,424 | elisaado | 2024-11-02T16:39:01 | SNTPings: Like R/Place but for Nerds | null | https://pings.utwente.io/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,464 | okasaki | 2024-11-02T16:43:43 | null | null | null | 5 | null | [
42027469
] | null | true | null | null | null | null | null | null | null | train |
42,027,470 | teleforce | 2024-11-02T16:44:57 | Netflix Prize | null | https://en.wikipedia.org/wiki/Netflix_Prize | 3 | 0 | [
42027481
] | null | null | no_error | Netflix Prize | 2007-02-09T04:58:09Z | Contributors to Wikimedia projects |
The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users being identified except by numbers assigned for the contest.
The competition was held by Netflix, a video streaming service, and was open to anyone who is neither connected with Netflix (current and former employees, agents, close relatives of Netflix employees, etc.) nor a resident of certain blocked countries (such as Cuba or North Korea).[1] On September 21, 2009, the grand prize of US$1,000,000 was given to the BellKor's Pragmatic Chaos team which bested Netflix's own algorithm for predicting ratings by 10.06%.[2]
Problem and data sets[edit]
Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training rating is a quadruplet of the form <user, movie, date of grade, grade>. The user and movie fields are integer IDs, while grades are from 1 to 5 (integer) stars.[3]
The qualifying data set contains over 2,817,131 triplets of the form <user, movie, date of grade>, with grades known only to the jury. A participating team's algorithm must predict grades on the entire qualifying set, but they are informed of the score for only half of the data: a quiz set of 1,408,342 ratings. The other half is the test set of 1,408,789, and performance on this is used by the jury to determine potential prize winners. Only the judges know which ratings are in the quiz set, and which are in the test set—this arrangement is intended to make it difficult to hill climb on the test set. Submitted predictions are scored against the true grades in the form of root mean squared error (RMSE), and the goal is to reduce this error as much as possible. Note that, while the actual grades are integers in the range 1 to 5, submitted predictions need not be. Netflix also identified a probe subset of 1,408,395 ratings within the training data set. The probe, quiz, and test data sets were chosen to have similar statistical properties.
In summary, the data used in the Netflix Prize looks as follows:
Training set (99,072,112 ratings not including the probe set; 100,480,507 including the probe set)
Probe set (1,408,395 ratings)
Qualifying set (2,817,131 ratings) consisting of:
Test set (1,408,789 ratings), used to determine winners
Quiz set (1,408,342 ratings), used to calculate leaderboard scores
For each movie, the title and year of release are provided in a separate dataset. No information at all is provided about users. In order to protect the privacy of the customers, "some of the rating data for some customers in the training and qualifying sets have been deliberately perturbed in one or more of the following ways: deleting ratings; inserting alternative ratings and dates; and modifying rating dates."[2]
The training set is constructed such that the average user rated over 200 movies, and the average movie was rated by over 5000 users. But there is wide variance in the data—some movies in the training set have as few as 3 ratings,[4] while one user rated over 17,000 movies.[5]
There was some controversy as to the choice of RMSE as the defining metric. It has been claimed that even as small an improvement as 1% RMSE results in a significant difference in the ranking of the "top-10" most recommended movies for a user.[6]
Prizes were based on improvement over Netflix's own algorithm, called Cinematch, or the previous year's score if a team has made improvement beyond a certain threshold. A trivial algorithm that predicts for each movie in the quiz set its average grade from the training data produces an RMSE of 1.0540. Cinematch uses "straightforward statistical linear models with a lot of data conditioning."[7]
Using only the training data, Cinematch scores an RMSE of 0.9514 on the quiz data, roughly a 10% improvement over the trivial algorithm. Cinematch has a similar performance on the test set, 0.9525. In order to win the grand prize of $1,000,000, a participating team had to improve this by another 10%, to achieve 0.8572 on the test set.[2] Such an improvement on the quiz set corresponds to an RMSE of 0.8563.
As long as no team won the grand prize, a progress prize of $50,000 was awarded every year for the best result thus far. However, in order to win this prize, an algorithm had to improve the RMSE on the quiz set by at least 1% over the previous progress prize winner (or over Cinematch, the first year). If no submission succeeded, the progress prize was not to be awarded for that year.
To win a progress or grand prize a participant had to provide source code and a description of the algorithm to the jury within one week after being contacted by them. Following verification the winner also had to provide a non-exclusive license to Netflix. Netflix would publish only the description, not the source code, of the system. (To keep their algorithm and source code secret, a team could choose not to claim a prize.) The jury also kept their predictions secret from other participants. A team could send as many attempts to predict grades as they wish. Originally submissions were limited to once a week, but the interval was quickly modified to once a day. A team's best submission so far counted as their current submission.
Once one of the teams succeeded to improve the RMSE by 10% or more, the jury would issue a last call, giving all teams 30 days to send their submissions. Only then, the team with best submission was asked for the algorithm description, source code, and non-exclusive license, and, after successful verification; declared a grand prize winner.
The contest would last until the grand prize winner was declared. Had no one received the grand prize, it would have lasted for at least five years (until October 2, 2011). After that date, the contest could have been terminated at any time at Netflix's sole discretion.
Progress over the years[edit]
The competition began on October 2, 2006. By October 8, a team called WXYZConsulting had already beaten Cinematch's results.[8]
By October 15, there were three teams who had beaten Cinematch, one of them by 1.06%, enough to qualify for the annual progress prize.[9] By June 2007 over 20,000 teams had registered for the competition from over 150 countries. 2,000 teams had submitted over 13,000 prediction sets.[3]
Over the first year of the competition, a handful of front-runners traded first place. The more prominent ones were:[10]
WXYZConsulting, a team of Wei Xu and Yi Zhang. (A front runner during November–December 2006.)
ML@UToronto A, a team from the University of Toronto led by Prof. Geoffrey Hinton. (A front runner during parts of October–December 2006.)
Gravity, a team of four scientists from the Budapest University of Technology (A front runner during January–May 2007.)
BellKor, a group of scientists from AT&T Labs. (A front runner since May 2007.)
Dinosaur Planet, a team of three undergraduates from Princeton University. (A front runner on September 3, 2007 for one hour before BellKor snatched back the lead.)
On August 12, 2007, many contestants gathered at the KDD Cup and Workshop 2007, held at San Jose, California.[11] During the workshop all four of the top teams on the leaderboard at that time presented their techniques. The team from IBM Research—Yan Liu, Saharon Rosset, Claudia Perlich, and Zhenzhen Kou—won the third place in Task 1 and first place in Task 2.
Over the second year of the competition, only three teams reached the leading position:
BellKor, a group of scientists from AT&T Labs (front runner during May 2007 – September 2008)
BigChaos, a team of Austrian scientists from Commendo Research & Consulting (single team front runner since October 2008)
BellKor in BigChaos, a joint team of the two leading single teams (a front runner since September 2008)
2007 Progress Prize[edit]
On September 2, 2007, the competition entered the "last call" period for the 2007 Progress Prize. Over 40,000 teams from 186 countries had entered the contest. They had thirty days to tender submissions for consideration. At the beginning of this period the leading team was BellKor, with an RMSE of 0.8728 (8.26% improvement), followed by Dinosaur Planet (RMSE = 0.8769; 7.83% improvement),[12] and Gravity (RMSE = 0.8785; 7.66% improvement). In the last hour of the last call period, an entry by "KorBell" took first place. This turned out to be an alternate name for Team BellKor.[13]
On November 13, 2007, team KorBell (formerly BellKor) was declared the winner of the $50,000 Progress Prize with an RMSE of 0.8712 (8.43% improvement).[14] The team consisted of three researchers from AT&T Labs, Yehuda Koren, Robert Bell, and Chris Volinsky.[15] As required, they published a description of their algorithm.[16]
2008 Progress Prize[edit]
The 2008 Progress Prize was awarded to the team BellKor. Their submission combined with a different team, BigChaos achieved an RMSE of 0.8616 with 207 predictor sets.[17]
The joint-team consisted of two researchers from Commendo Research & Consulting GmbH, Andreas Töscher and Michael Jahrer (originally team BigChaos) and three researchers from AT&T Labs, Yehuda Koren, Robert Bell, and Chris Volinsky (originally team BellKor).[18] As required, they published a description of their algorithm.[19][20]
This was the final Progress Prize because obtaining the required 1% improvement over the 2008 Progress Prize would be sufficient to qualify for the Grand Prize. The prize money was donated to the charities chosen by the winners.
On July 25, 2009 the team "The Ensemble", a merger of the teams "Grand Prize Team" and "Opera Solutions and Vandelay United," achieved a 10.09% improvement over Cinematch (a Quiz RMSE of 0.8554).[21][22]
On June 26, 2009 the team "BellKor's Pragmatic Chaos", a merger of teams "Bellkor in BigChaos" and "Pragmatic Theory", achieved a 10.05% improvement over Cinematch (a Quiz RMSE of 0.8558). The Netflix Prize competition then entered the "last call" period for the Grand Prize. In accord with the Rules, teams had thirty days, until July 26, 2009 18:42:37 UTC, to make submissions that will be considered for this Prize.[23]
On July 26, 2009, Netflix stopped gathering submissions for the Netflix Prize contest.[24]
The final standing of the Leaderboard at that time showed that two teams met the minimum requirements for the Grand Prize. "The Ensemble" with a 10.10% improvement over Cinematch on the Qualifying set (a Quiz RMSE of 0.8553), and "BellKor's Pragmatic Chaos" with a 10.09% improvement over Cinematch on the Qualifying set (a Quiz RMSE of 0.8554).[25][26] The Grand Prize winner was to be the one with the better performance on the Test set.
On September 18, 2009, Netflix announced team "BellKor's Pragmatic Chaos" as the prize winner (a Test RMSE of 0.8567), and the prize was awarded to the team in a ceremony on September 21, 2009.[27] "The Ensemble" team had matched BellKor's result, but since BellKor submitted their results 20 minutes earlier, the rules award the prize to BellKor.[22][28]
The joint-team "BellKor's Pragmatic Chaos" consisted of two Austrian researchers from Commendo Research & Consulting GmbH, Andreas Töscher and Michael Jahrer (originally team BigChaos), two researchers from AT&T Labs, Robert Bell, and Chris Volinsky, Yehuda Koren from Yahoo! (originally team BellKor) and two researchers from Pragmatic Theory, Martin Piotte and Martin Chabbert.[29] As required, they published a description of their algorithm.[30]
The team reported to have achieved the "dubious honors" (sic Netflix) of the worst RMSEs on the Quiz and Test data sets from among the 44,014 submissions made by 5,169 teams was "Lanterne Rouge", led by J.M. Linacre, who was also a member of "The Ensemble" team.
On March 12, 2010, Netflix announced that it would not pursue a second Prize competition that it had announced the previous August. The decision was in response to a lawsuit and Federal Trade Commission privacy concerns.[31]
Although the data sets were constructed to preserve customer privacy, the Prize has been criticized by privacy advocates. In 2007 two researchers from The University of Texas at Austin (Vitaly Shmatikov and Arvind Narayanan) were able to identify individual users by matching the data sets with film ratings on the Internet Movie Database.[32][33]
On December 17, 2009, four Netflix users filed a class action lawsuit against Netflix, alleging that Netflix had violated U.S. fair trade laws and the Video Privacy Protection Act by releasing the datasets.[34] There was public debate about privacy for research participants. On March 19, 2010, Netflix reached a settlement with the plaintiffs, after which they voluntarily dismissed the lawsuit.
Crowdsourcing
Open innovation
Innovation competition
Inducement prize contest
Kaggle
List of computer science awards
^ "The Netflix Prize Rules" (PDF). Archived from the original (PDF) on 2020-05-10. Retrieved 2019-11-06.
^ a b c "The Netflix Prize". Archived from the original on 2009-09-24. Retrieved 2012-07-09.
^ a b James Bennett; Stan Lanning (August 12, 2007). "The Netflix Prize" (PDF). Proceedings of KDD Cup and Workshop 2007. Archived from the original (PDF) on September 27, 2007. Retrieved 2007-08-25.
^ Sigmoid Curve (2006-10-08). "Miss Congeniality". Netflix Prize Forum. Archived from the original on 2012-02-06. Retrieved 2007-08-25.
^ prodigious (2006-10-06). "A single customer that rated 17,000 movies". Netflix Prize Forum. Archived from the original on 2012-02-06. Retrieved 2007-08-25.
^ YehudaKoren (2007-12-18). "How useful is a lower RMSE?". Netflix Prize Forum. Archived from the original on 2012-02-06.
^ "Netflix Prize Frequently Asked Questions". Archived from the original on 2007-08-21. Retrieved 2007-08-21.
^ "Netflix Prize Rankings". Hacking NetFlix. October 9, 2006. Archived from the original on 2006-10-30. Retrieved 2007-08-21.
^ "Netflix Prize (I tried to resist, but...)". Juho Snellman's Weblog. October 15, 2006. Retrieved 2007-08-21.
^ "Top contenders for Progress Prize 2007 chart".
^ "The KDD Cup and Workshop 2007".
^ "Dinosaur Planet". 2022-12-08.
^ admin (2022-08-28). "BellKor's Pragmatic Chaos Wins $1 Million Netflix Prize by Mere Minutes". Populousness. Retrieved 2022-08-28.
^ Prizemaster (2007-11-13). "Netflix Progress Prize 2007 awarded to team KorBell". Netflix Prize Forum. Archived from the original on 2012-02-06.
^ "$50,000 Progress Prize is Awarded on First Anniversary of $1 Million Netflix Prize". Netflix.
^ R. Bell; Y. Koren; C. Volinsky (2007). "The BellKor solution to the Netflix Prize". CiteSeerX 10.1.1.142.9009.
^ Robert Bell; Yehuda Koren; Chris Volinsky (2008-12-10). "The BellKor 2008 Solution to the Netflix Prize" (PDF). Netflix Prize Forum.
^ "Netflix Awards $50,000 Progress Prize in Year Two of Multi-Year, Multi-National Netflix Prize Competition". Archived from the original on 2009-06-30. Retrieved 2009-06-22.
^ A. Töscher; M. Jahrer (2008). "The BigChaos solution to the Netflix Prize 2008" (PDF). Archived from the original (PDF) on 2012-02-16. Retrieved 2009-06-24.
^ R. Bell; Y. Koren; C. Volinsky (2008). "The BellKor solution to the Netflix Prize 2008" (PDF). Archived from the original (PDF) on 2012-02-16. Retrieved 2009-06-24.
^ "The Ensemble". 2022-12-08. Archived from the original on 2014-12-27.
^ a b "Netflix Prize Leaderboard". 2009-07-26. Archived from the original on 2013-12-13. Retrieved 2013-12-09.
^ "BellKor's Pragmatic Chaos". 2009-06-26.
^ "Contest Closed". 2009-07-26. Archived from the original on 2009-07-28. Retrieved 2009-07-27.
^ Lester Mackey (2022-12-08). "Final Submission Countdown". Archived from the original on 2014-12-27.
^ "The Netflix Prize Comes To A Buzzer-Beater, Nailbiting Finish". 2009-07-26.
^ "Grand Prize awarded to team BellKor's Pragmatic Chaos". Netflix Prize Forum. 2009-09-21. Archived from the original on 2012-05-07.
^ Steve Lohr (2009-09-21). "A $1 Million Research Bargain for Netflix, and Maybe a Model for Others". New York Times.
^ "Netflix Awards $1 Million Netflix Prize and Announces Second $1 Million Challenge". Archived from the original on 2009-09-25. Retrieved 2009-09-24.
^ Andreas Töscher & Michael Jahrer (2009-09-05). "The BigChaos Solution to the Netflix Grand Prize" (PDF). commendo research & consulting. Retrieved 2022-11-02.
^ "Netflix Prize Update". Netflix Prize Forum. 2010-03-12.
^ Narayanan, Arvind; Shmatikov, Vitaly (2006). "How To Break Anonymity of the Netflix Prize Dataset". arXiv:cs/0610105.
^ Demerjian, Dave (15 March 2007). "Rise of the Netflix Hackers". wired.com. Wired. Retrieved 13 December 2014.
^ Singel, Ryan. "Netflix Spilled Your Brokeback Mountain Secret, Lawsuit Claims". Wired. Retrieved 11 August 2017.
Official website
Netflix Prize on RecSysWiki
Kate Greene (2006-10-06). "The $1 million Netflix challenge". Technology Review.
Robert M. Bell; Jim Bennett; Yehuda Koren & Chris Volinsky (May 2009). "The Million Dollar Programming Prize". IEEE Spectrum. Archived from the original on 2009-05-11. Retrieved 2009-05-08.
Robust De-anonymization of Large Sparse Datasets by Arvind Narayanan and Vitaly Shmatikov
Robert M. Bell, Yehuda Koren and Chris Volinsky (2010), "All together now: A perspective on the NETFLIX PRIZE", Chance, 23 (1): 24, doi:10.1007/s00144-010-0005-2
Andrey Feuerverger; Yu He & Shashi Khatri (2012), "Statistical Significance of the Netflix Challenge", Statistical Science, 27 (2): 202–231, arXiv:1207.5649, doi:10.1214/11-STS368, S2CID 43556443
The Netflix $1 Million Prize - Netflix never used its $1 million algorithm due to engineering costs (2009) - Saint
| 2024-11-08T08:41:47 | en | train |
42,027,471 | bpedro | 2024-11-02T16:45:02 | Orphan, Shadow, and Zombie APIs | null | https://apichangelog.substack.com/p/orphan-shadow-and-zombie-apis | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,488 | loltrojas | 2024-11-02T16:47:26 | Local VectorDB in Raw TS Without Docker / Server | null | https://github.com/Tej-Sharma/astro-vectordb | 2 | 1 | [
42027489
] | null | null | null | null | null | null | null | null | null | train |
42,027,490 | sabrina_ramonov | 2024-11-02T16:47:53 | OpenAI hallucinates badly during long silence | null | https://www.sabrina.dev/p/evaluating-openai-whisper-s-hallucinations-on-different-silences | 2 | 0 | [
42027495
] | null | null | null | null | null | null | null | null | null | train |
42,027,498 | wingmanjd | 2024-11-02T16:48:59 | Salt Project rapidly migrates package repository to packages.broadcom.com | null | https://saltproject.io/blog/salt-project-package-repo-migration-and-guidance/ | 2 | 2 | [
42027533,
42027825,
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42,027,500 | Anon84 | 2024-11-02T16:49:13 | Occupational Personality Profiles of over 255 jobs | null | https://apps.psych.ut.ee/JobProfiles/ | 3 | 1 | [
42028212,
42027513
] | null | null | null | null | null | null | null | null | null | train |
42,027,515 | matt_d | 2024-11-02T16:51:00 | [RFC] MLIR Project Charter and Restructuring | null | https://discourse.llvm.org/t/rfc-mlir-project-charter-and-restructuring/82896 | 1 | 0 | [
42027531
] | null | null | null | null | null | null | null | null | null | train |
42,027,519 | KolmogorovComp | 2024-11-02T16:51:49 | You might not need jQuery | null | https://youmightnotneedjquery.com | 12 | 6 | [
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42028009,
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42,027,525 | rbanffy | 2024-11-02T16:52:06 | Dystopika is a beautiful cyberpunk city builder without the ugly details | null | https://arstechnica.com/gaming/2024/11/dystopika-takes-all-the-management-out-of-a-cyberpunk-city-simulator/ | 10 | 0 | [
42027539
] | null | null | null | null | null | null | null | null | null | train |
42,027,532 | me_vinayakakv | 2024-11-02T16:53:09 | Stagehand - Browser automation with AI | null | https://github.com/browserbase/stagehand | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,027,558 | mooreds | 2024-11-02T16:56:12 | Black Futures Hackathon will inspire teens to enter tech jobs | null | https://theblackwallsttimes.com/2024/02/07/black-futures-hackathon-will-inspire-teens-to-enter-tech-jobs/ | 2 | 0 | null | null | null | no_error | Black Futures Hackathon will inspire teens to enter tech jobs | 2024-02-07T21:23:23Z | Deon Osborne |
Urban Coders Guild will host this year's Black Futures Hackathon at Atlas School in downtown Tulsa on Saturday, Feb. 24, 2024. (Urban Coders Guild)
Listen to this article here
GREENWOOD Dist.–Urban Coders Guild and Atlas School are teaming up again for this year’s Black Futures Hackathon, when students will honor the Black pioneers of the past and future.Tulsa middle and high schoolers will cruise through the intersections of tech and Black history as they collaborate on creating their own projects from 9 a.m. to 7 p.m. Saturday, February 24 inside Atlas School, located at 15 N. Cheyenne Ave.
Mikeal Vaughn, executive director of Urban Coders Guild, worked with Atlas School last year to introduce students, like the ones in his program, to the industry with the fastest potential for building generational wealth.Students participate in the Black Futures Hackathon, hosted by Urban Coders Guild at Holberton Tulsa software engineering school on Monday, Feb. 20, 2023. (Atlas School, formerly known as Holberton Tulsa )“We have to be mindful of the fact that Tulsa is now a nationally recognized Tech hub,” Vaughn told the Black Wall Street Times Wednesday. He wants to make sure young Tulsans, especially Black Tulsans, aren’t left behind as tech takes over the economy.“We have to have young folks, start them young, and give them the experiences that will allow them to explore these careers,” he said.
To sign up, visit this link.RelatedAt this year’s event, Vaughn said the goal is to give the skills and resources to enter the tech industry while immersing them in a more collaborative experience. One project involves working with the students to help them craft their own Black history websites.
With Tulsa full of tech programs on the post-secondary level, Vaughn’s Urban Coders Guild is part of a burgeoning network of tech edupreneurs (education entrepreneurs) who want to funnel the next generation of Tulsans to college programs.
“We invest heavily in sports, whether that’s time and money and commitment,” Vaughn said. “I really want our young folks, especially our young Black folks, our young women, our Latinx community, our Indigenous communities to come out and at least have some experience with computer science and coding because we are building this is tech economy.”Mikeal Vaughn, right, executive director and founder of Urban Coders Guild, speaks to students at the Black Futures Hackathon, hosted at Holberton School in Tulsa, Oklahoma, on Monday, Feb. 20, 2023. (Holberton Tulsa)Last year, nearly 50 students from sixth through 12th grade participated in building robotic cars. This year, new students will claim prizes in more collaborative, interactive projects.Nearly 103 years after a city-sanctioned racist mob tried to extinguish the future of Greenwood’s children, Urban Coders Guild is ensuring the seeds that survived the embers of hatred sprout into leaders of a tech revolution.
Deon Osborne was born in Minneapolis, MN and raised in Lawton, OK before moving to Norman where he attended the University of Oklahoma. He graduated with a bachelor’s degree in Strategic Media and has...
Post navigation
| 2024-11-08T08:24:45 | en | train |
42,027,564 | rbanffy | 2024-11-02T16:56:26 | Britain's postwar sugar craze confirms harms of sweet diets in early life | null | https://www.science.org/content/article/britain-s-postwar-sugar-craze-confirms-harms-sweet-diets-early-life | 241 | 142 | [
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42,027,566 | mooreds | 2024-11-02T16:56:53 | What Is a VAST Tag? | null | https://blog.adreform.com/vast-tag | 2 | 0 | [
42027587
] | null | null | null | null | null | null | null | null | null | train |
42,027,567 | cheesycod | 2024-11-02T16:56:54 | Ask HN: GitHub shadowbans accounts for no reason now? | A while ago, while working on one of my pet projects, GitHub's AI decided to randomly shadow-ban/'flag' my account (`cheesycod`) for no reason at all. I checked security logs and found nothing. I also haven't made any sort of offensive or spammy comments at all (did their AI just hallucinate up a shadowban then?). I have checked my account thoroughly for hacking etc. but have not found any traces of hacking or anything against Github's TOS whatsoever. To make matters worse, GitHub Support has also refused to respond to my account reinstatement request so it's basically like shouting into a black void.<p>We really need federated Git hosting to become popular at this point. A company like GitHub should not be able to just shadowban accounts and never reply to support tickets, especially when it has a monopoly in the market and is basically required in the current job market. Are there any potential candidates for Git hosting right now??? Someone should honestly make one...<p>Has anyone else on Hacker News experienced this abysmal level of support from GitHub before? | null | 3 | 6 | [
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42,027,568 | etothepii | 2024-11-02T16:56:57 | Navigating to Parent Folder in Finder | In finder from any folder you can go up a level (equivalent of cd ..) by pressing cmd+up | null | 2 | 0 | [
42027584
] | null | null | null | null | null | null | null | null | null | train |
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