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Timestamps
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"00:00:00 - Anonymity
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00:01:09 - Automating Steve Jobs
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00:04:38 - Isaac Newton's theory of progress
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00:06:36 - Grand theory of intelligence
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00:10:39 - Seeing scaling early
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00:21:04 - AGI Timelines
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00:22:54 - What to do in remaining 3 years until AGI
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00:26:29 - Influencing the shoggoth with writing
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00:30:50 - Human vs artificial intelligence
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00:33:52 - Rabbit holes
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00:38:48 - Hearing impairment
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00:43:00 - Wikipedia editing
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00:47:43 - Gwern.net
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00:50:20 - Counterfactual careers
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00:54:30 - Borges & literature
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01:01:32 - Gwern's intelligence and process
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01:11:03 - A day in the life of Gwern
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01:19:16 - Gwern's finances
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01:25:05 - The diversity of AI minds
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01:27:24 - GLP drugs and obesity
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01:31:08 - Drug experimentation
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01:33:40 - Parasocial relationships
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01:35:23 - Open rabbit holes"
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"00:00:00 Llama 3
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00:09:15 Coding on path to AGI
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00:26:07 Energy bottlenecks
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00:34:03 Is AI the most important technology ever?
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00:38:04 Dangers of open source
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00:54:40 Caesar Augustus and metaverse
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01:05:36 Open sourcing the $10b model & custom silicon
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01:16:02 Zuck as CEO of Google+"
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"(00:00:00) - Post WW2 conflicts
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(00:10:57) - Ukraine
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(00:16:33) - How Truman Prevented Nuclear War
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(00:22:49) - Taiwan
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(00:27:15) - Churchill
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(00:35:11) - Gaza & future wars
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(00:39:05) - Could Hitler have won WW2?
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(00:48:00) - Surprise attacks
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(00:59:33) - Napoleon and startup founders
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(01:14:06) - Andrew's insane productivity"
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"(0:00:00) - Grand strategy
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(0:11:59) - Death ground
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(0:23:19) - WW1
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(0:39:23) - Writing history
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(0:50:25) - Japan in WW2
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(0:59:58) - Ukraine
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(1:10:50) - Japan/Germany vs Iraq/Afghanistan occupation
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(1:21:25) - Chinese invasion of Taiwan
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(1:51:26) - Communists & Axis
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(2:08:34) - Continental vs maritime powers"
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"(00:00:00) β Archaic and modern humans gene flow
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(00:21:13) β How early modern humans dominated the world
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(00:40:49) β How the bubonic plague rewrote history
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(00:50:52) β Was agriculture terrible for humans?
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(01:00:18) β Yamnaya expansion and how populations collide
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(01:16:29) β βLost civilizationsβ and our Neanderthal ancestry
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(01:32:22) β The DNA Challenge
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(01:42:37) β India's caste system
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(01:47:40) β David's Career"
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"00:00:00 β The ARC benchmark
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00:11:53 β Why LLMs struggle with ARC
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00:19:43 β Skill vs intelligence
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00:28:38 β Do we need βAGIβ to automate most jobs?
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00:49:11 β Future of AI progress: deep learning + program synthesis
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01:01:23 β How Mike Knoop got nerd-sniped by ARC
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01:09:20 β Million $ ARC Prize
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01:11:16 β Resisting benchmark saturation
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01:18:51 β ARC scores on frontier vs open source models
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01:27:02 β Possible solutions to ARC Prize" |