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Check out this week’s top Web3 Gaming NEWS!🔥 0:19 Avalanche announced a major partnership to enhance games that will integrate AI agents. 0:42 OLAGG draws $500 USDC. 1:00 A medieval themed event took place in Brazil. 1:22 MMORPG game launches its creator program. 1:45 First shooter on the Soneium...

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Predz

11,045 subscribers

10,954 次观看 • 1 年前 •via X (Twitter)

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Predzᴸ¹🔺 的头像
Predzᴸ¹🔺1 年前

Featured on this video: @avax @LFG_GTFO @OLAGuildGames @playSIPHER @RavenQuestGame @TempestGuild @WayfindersGG @spellbornegame @PlayOverTrip @soneium @ceden_network @bballverse_gg @AbstractChain @play_ember @playgigaverse @ForgotPlayland

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Yandel Krkič1 年前

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.Satya Nadella gave me and Dylan Patel an exclusive tour of Fairwater 2, the most powerful AI datacenter in the world. We then chatted through Satya's vision for Microsoft in a world with AGI. 0:00:00 - Fairwater 2 0:04:15 - Business models for AGI 0:13:42 - Copilot 0:20:56 - Whose margins will expand most? 0:37:12 - MAI 0:48:42 - The hyperscale business 1:03:39 - In-house chip & OpenAI partnership 1:10:30 - The CAPEX explosion 1:16:01 - Will the world trust US companies to lead AI? Look up Dwarkesh Podcast on Youtube, Apple Podcasts or Spotify to tune in.
1:28:41

.Satya Nadella gave me and Dylan Patel an exclusive tour of Fairwater 2, the most powerful AI datacenter in the world. We then chatted through Satya's vision for Microsoft in a world with AGI. 0:00:00 - Fairwater 2 0:04:15 - Business models for AGI 0:13:42 - Copilot 0:20:56 - Whose margins will expand most? 0:37:12 - MAI 0:48:42 - The hyperscale business 1:03:39 - In-house chip & OpenAI partnership 1:10:30 - The CAPEX explosion 1:16:01 - Will the world trust US companies to lead AI? Look up Dwarkesh Podcast on Youtube, Apple Podcasts or Spotify to tune in.

Dwarkesh Patel

1,895,952 次观看 • 10 个月前

Yesterday and friends discussed how blockchains are developing and the future of web3. We also gave out lots of $SFP tokens to viewers. Recap of our October Community Call 0:00:00- Introduction 0:02:06- Veronica shares the latest crypto scams 0:07:36- supporting Sei 0:10:00- Demo on improvements to the app swap feature 0:16:33- Introducing the Halloween event 0:17:19- Veronica shares highlights at The Gateway 2024 event 0:24:07- GiftNow, a Free Tool for Web3 Community Growth 0:30:57- Sei sharing insights on SEI ecosystem 0:47:44- Venom Network shares about building L0 & L1 1:10:49- GoPlus Security 🚦 discusses on protecting transactions
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Yesterday and friends discussed how blockchains are developing and the future of web3. We also gave out lots of $SFP tokens to viewers. Recap of our October Community Call 0:00:00- Introduction 0:02:06- Veronica shares the latest crypto scams 0:07:36- supporting Sei 0:10:00- Demo on improvements to the app swap feature 0:16:33- Introducing the Halloween event 0:17:19- Veronica shares highlights at The Gateway 2024 event 0:24:07- GiftNow, a Free Tool for Web3 Community Growth 0:30:57- Sei sharing insights on SEI ecosystem 0:47:44- Venom Network shares about building L0 & L1 1:10:49- GoPlus Security 🚦 discusses on protecting transactions

SafePal - Crypto Wallet

29,439 次观看 • 1 年前

The State of Crypto Gaming & Where Ronin is Heading Next with Jihoz.ron and 🎮 Believing in Ronin. Timestamps: 0:09 - Introduction 0:34 - Ronin Buyback: The Idea and Intention 1:15 - How Web3 Gaming Can Access Institutional Capital This Cycle 2:00 - When Do You Think Gaming Will Make a Comeback? 3:11 - What can we expect next? 4:06 - Web2 Paying Whales = Web3 Move 5:23 - Ronin’s Approach to Growing Talent
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The State of Crypto Gaming & Where Ronin is Heading Next with Jihoz.ron and 🎮 Believing in Ronin. Timestamps: 0:09 - Introduction 0:34 - Ronin Buyback: The Idea and Intention 1:15 - How Web3 Gaming Can Access Institutional Capital This Cycle 2:00 - When Do You Think Gaming Will Make a Comeback? 3:11 - What can we expect next? 4:06 - Web2 Paying Whales = Web3 Move 5:23 - Ronin’s Approach to Growing Talent

yellowpanther (prediction arc) 💎

11,681 次观看 • 11 个月前

"The world is probably going to be a better place without authority and trust." Gavin Wood on why he's spent over a decade building Web3. 0:00 - Childhood: Lego, self-taught programming 10:00 - Video games 14:02 - Board games 19:34 - Game design as blockchain architecture 25:11 - Philosophy on authority, living as peers 30:57 - Motivations for Web3 38:16 - JAM vs Polkadot development 42:48 - JAM technical: scalability 52:32 - JAM as neutral protocol 55:00 - AI dangers, Web3 as counterbalance 1:01:33 - Ethereum origin: Vitalik and whitepaper
1:05:12

"The world is probably going to be a better place without authority and trust." Gavin Wood on why he's spent over a decade building Web3. 0:00 - Childhood: Lego, self-taught programming 10:00 - Video games 14:02 - Board games 19:34 - Game design as blockchain architecture 25:11 - Philosophy on authority, living as peers 30:57 - Motivations for Web3 38:16 - JAM vs Polkadot development 42:48 - JAM technical: scalability 52:32 - JAM as neutral protocol 55:00 - AI dangers, Web3 as counterbalance 1:01:33 - Ethereum origin: Vitalik and whitepaper

Polkadot

292,474 次观看 • 10 个月前

Episode w Dylan Patel and Asianometry out! A bonanza on how the semiconductor industry actually works. & what Xi could do if he becomes scaling pilled, how we can train models with 10,000x GPT-4's compute by end of decade, & much more. This one is very fun. Enjoy! Links below. 0:00:00 – Xi’s path to AGI 0:05:05 – Liang Mong Song 0:09:10 – How semiconductors get better 0:12:01 – China can centralize compute 0:19:35 – Export controls & sanctions 0:33:45 – Huawei’s intense culture 0:39:45 – Why the semiconductor industry is so stratified 0:41:50 – N2 should not exist 0:46:47 – Taiwan invasion hypothetical 0:50:15 – Mind-boggling complexity of semiconductors 1:00:06 – Chip architecture design 1:05:29 – Architectures lead to different AI models? China vs. US 1:11:06 – Being head of compute at an AI lab 1:17:17 – Scaling costs and power demand 1:37:59 – Are we financing an AI bubble?
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Episode w Dylan Patel and Asianometry out! A bonanza on how the semiconductor industry actually works. & what Xi could do if he becomes scaling pilled, how we can train models with 10,000x GPT-4's compute by end of decade, & much more. This one is very fun. Enjoy! Links below. 0:00:00 – Xi’s path to AGI 0:05:05 – Liang Mong Song 0:09:10 – How semiconductors get better 0:12:01 – China can centralize compute 0:19:35 – Export controls & sanctions 0:33:45 – Huawei’s intense culture 0:39:45 – Why the semiconductor industry is so stratified 0:41:50 – N2 should not exist 0:46:47 – Taiwan invasion hypothetical 0:50:15 – Mind-boggling complexity of semiconductors 1:00:06 – Chip architecture design 1:05:29 – Architectures lead to different AI models? China vs. US 1:11:06 – Being head of compute at an AI lab 1:17:17 – Scaling costs and power demand 1:37:59 – Are we financing an AI bubble?

Dwarkesh Patel

261,054 次观看 • 2 年前

Google Engineers just dropped a 1-hour course on agentic engineering from scratch: 0% - 00:00 – How to build your first AI agent 25% - 08:24 – Build agent memory (short, persistent, long) 50% - 28:34 – Agentic loops, long-running AI agents 100% - 1:00:22 – Multi-agentic systems This 1-hour guide will replace 10 paid agentic courses on the internet. Watch it today, then read how to run multiple agents in the article below.
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Google Engineers just dropped a 1-hour course on agentic engineering from scratch: 0% - 00:00 – How to build your first AI agent 25% - 08:24 – Build agent memory (short, persistent, long) 50% - 28:34 – Agentic loops, long-running AI agents 100% - 1:00:22 – Multi-agentic systems This 1-hour guide will replace 10 paid agentic courses on the internet. Watch it today, then read how to run multiple agents in the article below.

Ricker

11,708 次观看 • 19 天前

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“This is a $1 trillion economy.” Zentry launched Nexus Play Portal, which powers social engagements and onchain activities by humans and AI Agents. I got the opportunity to interview jarindr | ( zentry arc ) and got exclusive alphas about $ZENT for you guys 🫵🏻🔥 ZENT it. Timestamps: 0:36 ETH is still not at $5k 😭 0:41 Some Alpha that is coming to Zentry 0:50 Teased Maxion Game Studio 1:20 What is Zentry? 1:27 Maxion Game Studio’s Flagship Game Ragnarok Landverse making $15M 2:05 Ragnarok Landverse 2:19 When is Ragnarok Landverse coming out? 2:36 Maxion will have couple more games 3:02 Everything leads to Zentry 3:21 EXCLUSIVE CONFIRMED BY JARINDR

yellowpanther (prediction arc) 💎

35,541 次观看 • 1 年前

Here's my conversation with Tim Sweeney (Tim Sweeney), a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbreaking and influential video games. It's here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 3:06 - Introduction 3:39 - 10,000 hours programming 6:56 - Advice for young programmers 15:07 - Video games in the 80s and 90s 17:16 - Epic Games origin story 29:54 - Indie game development 35:47 - Unreal Engine 1:01:44 - Technical details of Unreal Engine 1:06:36 - Constructive solid geometry 1:12:35 - Dynamic lighting 1:17:05 - Volumetric fog 1:20:32 - John Carmack 1:22:19 - Evolution of Unreal Engine 1:28:34 - Unreal Engine 5 1:39:45 - Creating realistic humans 1:48:54 - Lumen global illumination 1:53:24 - Movies 2:08:06 - Simulating reality 2:20:21 - Metaverse 2:22:57 - Fortnite 2:26:53 - Scaling 2:42:17 - Game economies 2:43:46 - Standardizing the Metaverse 2:51:59 - Verse programming language 3:13:32 - Concurrency 3:21:09 - Unreal Engine 6 3:25:47 - Indie game developers 3:28:45 - Apple 3:43:25 - Epic Games Store 4:06:16 - Future of gaming 4:12:16 - Greatest games ever made 4:17:53 - GTA 6 and Rockstar Games 4:21:12 - Hope for the future
4:25:18

Here's my conversation with Tim Sweeney (Tim Sweeney), a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbreaking and influential video games. It's here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 3:06 - Introduction 3:39 - 10,000 hours programming 6:56 - Advice for young programmers 15:07 - Video games in the 80s and 90s 17:16 - Epic Games origin story 29:54 - Indie game development 35:47 - Unreal Engine 1:01:44 - Technical details of Unreal Engine 1:06:36 - Constructive solid geometry 1:12:35 - Dynamic lighting 1:17:05 - Volumetric fog 1:20:32 - John Carmack 1:22:19 - Evolution of Unreal Engine 1:28:34 - Unreal Engine 5 1:39:45 - Creating realistic humans 1:48:54 - Lumen global illumination 1:53:24 - Movies 2:08:06 - Simulating reality 2:20:21 - Metaverse 2:22:57 - Fortnite 2:26:53 - Scaling 2:42:17 - Game economies 2:43:46 - Standardizing the Metaverse 2:51:59 - Verse programming language 3:13:32 - Concurrency 3:21:09 - Unreal Engine 6 3:25:47 - Indie game developers 3:28:45 - Apple 3:43:25 - Epic Games Store 4:06:16 - Future of gaming 4:12:16 - Greatest games ever made 4:17:53 - GTA 6 and Rockstar Games 4:21:12 - Hope for the future

Lex Fridman

937,918 次观看 • 1 年前

🔥 Revealing PLAY Network as our 3rd NFT Whitelist Sale! PLAY is a layer 0 protocol that enables AI agents to transact autonomously in games and social apps by bringing web2 games on-chain. Any game, any chain, any platform. Backed by top investors, PLAY empowers a vast ecosystem of 2000+ games and 300M MAU. Get started in 2 simple steps: 🐧 1. KYC 🐧 2. Start staking IDIA on 29/11/2024 at 10 AM UTC Details:
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🔥 Revealing PLAY Network as our 3rd NFT Whitelist Sale! PLAY is a layer 0 protocol that enables AI agents to transact autonomously in games and social apps by bringing web2 games on-chain. Any game, any chain, any platform. Backed by top investors, PLAY empowers a vast ecosystem of 2000+ games and 300M MAU. Get started in 2 simple steps: 🐧 1. KYC 🐧 2. Start staking IDIA on 29/11/2024 at 10 AM UTC Details:

IMPOSSIBLE (prev. Impossible Finance)

21,141 次观看 • 1 年前

one thing that has saved my projects more time than I can count is evals boy was I excited when florian, quite literally an expert in benchmarks, agreed to hop into a ~2h interview to do a walkthrough of what the eval landscape looks like in 2026 (and also answer my personal business questions on the subject) given that now running frontier model through benchmarks is a vector for hacking other systems in order to avoid doing work (looking at you sol), I think it's more important than ever to educate folks on the evals situation. had a lot of fun throughout this session and I hope that you learn a thing or two! enjoy! 🌹 table of content: 0:00:00: are AI Benchmark broken? 0:05:45: Florian Brand background 0:09:00: what motivates florian to work on evaluation? 0:13:33: what is the mirrorcode benchmark about? 0:18:20: cheating in agent benchmark is insaneeeee 0:24:08: LLM benchmarks in era of agents 0:26:30: what’s up with the pelican man 0:28:27: evals are about capabilities 0:31:46: components of running evals 0:35:30: the volume of things to audit is huge!!! 0:40:20: expert answers are wrong hahahaha 0:46:00: api providers aren’t the same 0:48:00: benchmark narrow capabilities (synthetically) 0:50:56: link between eval and environment 0:53:45: small validated benchmark or massive bench? 0:56:11: what is your flow to review a benchmark? 0:58:30: tracking work capabilities with evaluation 1:00:20: slide deck in industry is all vibecoded 1:03:30: harness impact in the evaluation 1:07:39: hardware/sandboxes impact evaluation too! 1:11:00: “is it going to get worse?” 1:12:40: all components influence the final score 1:13:50: training models on different harnesses? 1:17:20: is the model just the weights or it’s all of it? 1:19:30: how to craft benchmark that prevent to cheating and undereliciting models in 2026 1:23:19: ways agents cheat and steal 1:26:00: correct elicitation of capabilities is important 1:36:00: building evaluation on prime intellect 1:45:10: how do you design interactivity benchmarks? 1:48:40: do you think evals are well set to reflect real world performance? 1:52:50: what will the benchmarking landscape will look like in 1 year
1:54:36

one thing that has saved my projects more time than I can count is evals boy was I excited when florian, quite literally an expert in benchmarks, agreed to hop into a ~2h interview to do a walkthrough of what the eval landscape looks like in 2026 (and also answer my personal business questions on the subject) given that now running frontier model through benchmarks is a vector for hacking other systems in order to avoid doing work (looking at you sol), I think it's more important than ever to educate folks on the evals situation. had a lot of fun throughout this session and I hope that you learn a thing or two! enjoy! 🌹 table of content: 0:00:00: are AI Benchmark broken? 0:05:45: Florian Brand background 0:09:00: what motivates florian to work on evaluation? 0:13:33: what is the mirrorcode benchmark about? 0:18:20: cheating in agent benchmark is insaneeeee 0:24:08: LLM benchmarks in era of agents 0:26:30: what’s up with the pelican man 0:28:27: evals are about capabilities 0:31:46: components of running evals 0:35:30: the volume of things to audit is huge!!! 0:40:20: expert answers are wrong hahahaha 0:46:00: api providers aren’t the same 0:48:00: benchmark narrow capabilities (synthetically) 0:50:56: link between eval and environment 0:53:45: small validated benchmark or massive bench? 0:56:11: what is your flow to review a benchmark? 0:58:30: tracking work capabilities with evaluation 1:00:20: slide deck in industry is all vibecoded 1:03:30: harness impact in the evaluation 1:07:39: hardware/sandboxes impact evaluation too! 1:11:00: “is it going to get worse?” 1:12:40: all components influence the final score 1:13:50: training models on different harnesses? 1:17:20: is the model just the weights or it’s all of it? 1:19:30: how to craft benchmark that prevent to cheating and undereliciting models in 2026 1:23:19: ways agents cheat and steal 1:26:00: correct elicitation of capabilities is important 1:36:00: building evaluation on prime intellect 1:45:10: how do you design interactivity benchmarks? 1:48:40: do you think evals are well set to reflect real world performance? 1:52:50: what will the benchmarking landscape will look like in 1 year

Yacine Mahdid

12,923 次观看 • 1 个月前

SHOTS FIRED: The Tyranny of Big Pharma Exposed with Dr. Sherri Tenpenny | EP 42 | Going Rogue with Lara Logan (0:00:01) - Vaccines and Aluminum (0:04:24) - Pharma Influence (0:17:52) - Known Risks (0:29:06) - Irrefutable Evidence (0:33:17) - Medical Malpractice and Liability Protection (0:45:43) - Government Shutdown (0:54:05) - Global Changes on Society (0:59:42) - AI and Control (1:08:45) - Preparing for Parenthood (1:20:45) - Pregnancy Concerns (1:26:28) - Nasty Ingredients (1:37:41) - Detoxing (1:49:36) - Faith and Free Will (1:55:24) - Speaking Out (2:05:20) - Making a Difference (2:09:03) - Debunking Myths (2:17:26) - Vax Research and Accountability (2:24:03) - Health Freedom (2:37:03) - Question Everything Renowned vaccine researcher, Dr. Sherry Tenpenny, joins us to uncover the dynamics between Big Pharma and public health, to explore the evidence that vaccines are harming us, and to advocate for an educated population. Going Rogue with Lara Logan Dr Sherri Tenpenny Vaccines, Big Pharma, Public Health, Medical Malpractice, COVID-19, Health Freedom, Faith, Accountability, Free Will, Liability Protection, Marxism, Civil Liberties, Child Trafficking, Hollywood, Parenting, Pregnancy, Detoxing, Spike Protein, Lara Logan, Going Rogue
2:42:29

SHOTS FIRED: The Tyranny of Big Pharma Exposed with Dr. Sherri Tenpenny | EP 42 | Going Rogue with Lara Logan (0:00:01) - Vaccines and Aluminum (0:04:24) - Pharma Influence (0:17:52) - Known Risks (0:29:06) - Irrefutable Evidence (0:33:17) - Medical Malpractice and Liability Protection (0:45:43) - Government Shutdown (0:54:05) - Global Changes on Society (0:59:42) - AI and Control (1:08:45) - Preparing for Parenthood (1:20:45) - Pregnancy Concerns (1:26:28) - Nasty Ingredients (1:37:41) - Detoxing (1:49:36) - Faith and Free Will (1:55:24) - Speaking Out (2:05:20) - Making a Difference (2:09:03) - Debunking Myths (2:17:26) - Vax Research and Accountability (2:24:03) - Health Freedom (2:37:03) - Question Everything Renowned vaccine researcher, Dr. Sherry Tenpenny, joins us to uncover the dynamics between Big Pharma and public health, to explore the evidence that vaccines are harming us, and to advocate for an educated population. Going Rogue with Lara Logan Dr Sherri Tenpenny Vaccines, Big Pharma, Public Health, Medical Malpractice, COVID-19, Health Freedom, Faith, Accountability, Free Will, Liability Protection, Marxism, Civil Liberties, Child Trafficking, Hollywood, Parenting, Pregnancy, Detoxing, Spike Protein, Lara Logan, Going Rogue

Lara Logan

599,607 次观看 • 10 个月前

.Dylan Patel gives a deep dive on the 3 big bottlenecks to scaling AI compute: logic, memory, and power. And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers. Learned a ton about every single level of the stack. 0:00:00 – Why an H100 is worth more today than 3 years ago 0:24:52 – Nvidia secured TSMC allocation early; Google is getting squeezed 0:34:34 – ASML will be the #1 constraint for AI compute scaling by 2030 0:56:06 – Can’t we just use TSMC’s older fabs? 1:05:56 – When will China outscale the West in semis? 1:16:20 – The enormous incoming memory crunch 1:42:53 – Scaling power in the US will not be a problem 1:55:03 – Space GPUs aren't happening this decade 2:14:26 – Why aren’t more hedge funds making the AGI trade? 2:18:49 – Will TSMC kick Apple out from N2? 2:24:35 – Robots and Taiwan risk Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify. Enjoy!
2:31:03

.Dylan Patel gives a deep dive on the 3 big bottlenecks to scaling AI compute: logic, memory, and power. And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers. Learned a ton about every single level of the stack. 0:00:00 – Why an H100 is worth more today than 3 years ago 0:24:52 – Nvidia secured TSMC allocation early; Google is getting squeezed 0:34:34 – ASML will be the #1 constraint for AI compute scaling by 2030 0:56:06 – Can’t we just use TSMC’s older fabs? 1:05:56 – When will China outscale the West in semis? 1:16:20 – The enormous incoming memory crunch 1:42:53 – Scaling power in the US will not be a problem 1:55:03 – Space GPUs aren't happening this decade 2:14:26 – Why aren’t more hedge funds making the AGI trade? 2:18:49 – Will TSMC kick Apple out from N2? 2:24:35 – Robots and Taiwan risk Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify. Enjoy!

Dwarkesh Patel

489,541 次观看 • 6 个月前

.Jacob Trefethen runs the science program at Open Philanthropy, directing about $100m/year in philanthropic funding. For New Science, we ended up talking about academia, peer review, grant-making; and also about love, the meaning of life, and our personal histories. Enjoy! Timestamps 0:00:00 - Introduction 0:01:11 - On Open Philanthropy's decision process 0:06:48 - Is it possible to make expected value calculations for basic scientific research? 0:16:27 - Non-profit funding vs for-profit funding 0:17:19 - Why the NIH rejects grants 0:19:39 - Jacob's "PhD" working side-by-side with biochemists for 5 years 0:25:22 - Today's system of federal funding are not supporting generalists 0:28:34 - How will AI affect the pace of scientific progress? 0:41:53 - AI Baumol Disease 0:54:41 - Can AI speed up aging research? 0:58:20 - The wisest people Jacob & Alexey know 1:13:31 - The future of science in academia 1:19:26 - How Open Philanthropy uses neglectedness to make funding trade-offs 1:35:16 - Jacob's advice for a talented 20 year old watching this 1:45:24 - Jacob's favorite joke
1:47:57

.Jacob Trefethen runs the science program at Open Philanthropy, directing about $100m/year in philanthropic funding. For New Science, we ended up talking about academia, peer review, grant-making; and also about love, the meaning of life, and our personal histories. Enjoy! Timestamps 0:00:00 - Introduction 0:01:11 - On Open Philanthropy's decision process 0:06:48 - Is it possible to make expected value calculations for basic scientific research? 0:16:27 - Non-profit funding vs for-profit funding 0:17:19 - Why the NIH rejects grants 0:19:39 - Jacob's "PhD" working side-by-side with biochemists for 5 years 0:25:22 - Today's system of federal funding are not supporting generalists 0:28:34 - How will AI affect the pace of scientific progress? 0:41:53 - AI Baumol Disease 0:54:41 - Can AI speed up aging research? 0:58:20 - The wisest people Jacob & Alexey know 1:13:31 - The future of science in academia 1:19:26 - How Open Philanthropy uses neglectedness to make funding trade-offs 1:35:16 - Jacob's advice for a talented 20 year old watching this 1:45:24 - Jacob's favorite joke

Alexey Guzey

23,458 次观看 • 1 年前

Here's my conversation with Demis Hassabis, CEO of Google DeepMind, all about the future of AI & AGI, simulating biology & physics, video games, programming, video generation, world models, Gemini 3, scaling laws, compute, P vs NP, complexity, energy (solar & fusion), and much more. This was a fun & fascinating super-technical conversation. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:06 - Learnable patterns in nature 5:48 - Computation and P vs NP 14:26 - Veo 3 and understanding reality 18:50 - Video games 30:52 - AlphaEvolve 36:53 - AI research 41:17 - Simulating a biological organism 46:00 - Origin of life 52:15 - Path to AGI 1:03:01 - Scaling laws 1:06:17 - Compute 1:09:04 - Future of energy 1:13:00 - Human nature 1:17:54 - Google and the race to AGI 1:35:53 - Competition and AI talent 1:42:27 - Future of programming 1:48:53 - John von Neumann 1:58:07 - p(doom) 2:02:50 - Humanity 2:05:56 - Consciousness and quantum computation 2:12:06 - David Foster Wallace 2:19:20 - Education and research
2:28:14

Here's my conversation with Demis Hassabis, CEO of Google DeepMind, all about the future of AI & AGI, simulating biology & physics, video games, programming, video generation, world models, Gemini 3, scaling laws, compute, P vs NP, complexity, energy (solar & fusion), and much more. This was a fun & fascinating super-technical conversation. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:06 - Learnable patterns in nature 5:48 - Computation and P vs NP 14:26 - Veo 3 and understanding reality 18:50 - Video games 30:52 - AlphaEvolve 36:53 - AI research 41:17 - Simulating a biological organism 46:00 - Origin of life 52:15 - Path to AGI 1:03:01 - Scaling laws 1:06:17 - Compute 1:09:04 - Future of energy 1:13:00 - Human nature 1:17:54 - Google and the race to AGI 1:35:53 - Competition and AI talent 1:42:27 - Future of programming 1:48:53 - John von Neumann 1:58:07 - p(doom) 2:02:50 - Humanity 2:05:56 - Consciousness and quantum computation 2:12:06 - David Foster Wallace 2:19:20 - Education and research

Lex Fridman

1,457,214 次观看 • 1 年前

Here's my conversation with Roman Yampolskiy (Dr. Roman Yampolskiy), AI safety researcher who believes that the chance of AGI eventually destroying human civilization is 99.9999%. I will continue to chat with many AI researchers & engineers, most of whom put p(doom) at <20%, but it's important to balance those technical conversations by understanding the long-term existential risks of AI. This was a terrifying and fascinating discussion. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:20 - Existential risk of AGI 8:32 - Ikigai risk 16:44 - Suffering risk 20:19 - Timeline to AGI 24:51 - AGI turing test 30:14 - Yann LeCun and open source AI 43:06 - AI control 45:33 - Social engineering 48:06 - Fearmongering 57:57 - AI deception 1:04:30 - Verification 1:11:29 - Self-improving AI 1:23:42 - Pausing AI development 1:29:59 - AI Safety 1:39:43 - Current AI 1:45:05 - Simulation 1:52:24 - Aliens 1:53:57 - Human mind 2:00:17 - Neuralink 2:09:23 - Hope for the future 2:13:18 - Meaning of life
2:15:29

Here's my conversation with Roman Yampolskiy (Dr. Roman Yampolskiy), AI safety researcher who believes that the chance of AGI eventually destroying human civilization is 99.9999%. I will continue to chat with many AI researchers & engineers, most of whom put p(doom) at <20%, but it's important to balance those technical conversations by understanding the long-term existential risks of AI. This was a terrifying and fascinating discussion. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:20 - Existential risk of AGI 8:32 - Ikigai risk 16:44 - Suffering risk 20:19 - Timeline to AGI 24:51 - AGI turing test 30:14 - Yann LeCun and open source AI 43:06 - AI control 45:33 - Social engineering 48:06 - Fearmongering 57:57 - AI deception 1:04:30 - Verification 1:11:29 - Self-improving AI 1:23:42 - Pausing AI development 1:29:59 - AI Safety 1:39:43 - Current AI 1:45:05 - Simulation 1:52:24 - Aliens 1:53:57 - Human mind 2:00:17 - Neuralink 2:09:23 - Hope for the future 2:13:18 - Meaning of life

Lex Fridman

30,193,822 次观看 • 2 年前

Anthropic just released a 3-hour masterclass on how the best companies in the world, from Cursor to Spotify, build with Claude: 00:06 – how Cursor built its cloud agents 14:30 – how Lovable vibecodes at scale 45:22 – Spotify: why coding is no longer the constraint 1:42:56 – building AI-native, from Cognition to Harvey 2:09:18 – enterprise scale: mondaycom, Doctolib, Delivery Hero 2:38:11 – how one team went from 1 person to 80 This 3-hour watch will replace 10 paid AI engineering courses on the internet. Watch it today, then go build your own agents in part 2, below.
3:02:08

Anthropic just released a 3-hour masterclass on how the best companies in the world, from Cursor to Spotify, build with Claude: 00:06 – how Cursor built its cloud agents 14:30 – how Lovable vibecodes at scale 45:22 – Spotify: why coding is no longer the constraint 1:42:56 – building AI-native, from Cognition to Harvey 2:09:18 – enterprise scale: mondaycom, Doctolib, Delivery Hero 2:38:11 – how one team went from 1 person to 80 This 3-hour watch will replace 10 paid AI engineering courses on the internet. Watch it today, then go build your own agents in part 2, below.

Phosphen

23,539 次观看 • 2 个月前