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How OpenAI made Codex The full episode with Alexander Embiricos is now live: Timestamps 0:00:00 Intro: Meet the Codex Team 0:00:21 Origin Story of Codex 0:15:03 How Users Are Adopting Codex: Surprising Patterns 0:36:38 Is AI Eating Software Engineering? 1:00:05 Building a Startup in the Age of AI Agents... show more

Anjney Midha

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31,764 просмотров • 11 месяцев назад •via X (Twitter)

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00:00 Introducing Codex 01:38 Setup and kicking off tasks 05:05 Environments 07:20 Guiding Codex with a Markdown file 12:00 The Codex origin story 14:25 Verifying and reviewing Codex tasks 17:28 Using Codex at OpenAI 20:48 Availability via ChatGPT 21:22 Roadmap and Codex CLI updates

00:00 Introducing Codex 01:38 Setup and kicking off tasks 05:05 Environments 07:20 Guiding Codex with a Markdown file 12:00 The Codex origin story 14:25 Verifying and reviewing Codex tasks 17:28 Using Codex at OpenAI 20:48 Availability via ChatGPT 21:22 Roadmap and Codex CLI updates

OpenAI Developers

469,137 просмотров • 1 год назад

Codex went from basically unlimited to burning your entire limit in one prompt. We talked about how OpenAI cooked the $200 plan and quietly killed the Codex app. 0:08:46 Intro 0:10:15 Muse Spark 1.1 0:13:13 GPT-Live-1 0:22:03 Grok 4.5 0:35:58 Windsurf & RIP Codex 0:51:38 Apple Sues OpenAI 0:58:05 Elon vs Sam 1:13:24 GPT-5.6 Sol & Limits 1:35:19 Subagents & Agent Workflows 1:47:42 Claude Code + Sol

Codex went from basically unlimited to burning your entire limit in one prompt. We talked about how OpenAI cooked the $200 plan and quietly killed the Codex app. 0:08:46 Intro 0:10:15 Muse Spark 1.1 0:13:13 GPT-Live-1 0:22:03 Grok 4.5 0:35:58 Windsurf & RIP Codex 0:51:38 Apple Sues OpenAI 0:58:05 Elon vs Sam 1:13:24 GPT-5.6 Sol & Limits 1:35:19 Subagents & Agent Workflows 1:47:42 Claude Code + Sol

Nerd Snipe

90,904 просмотров • 23 дней назад

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads

TBPN

639,180 просмотров • 6 месяцев назад

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Ryan Peterman

119,601 просмотров • 5 месяцев назад

Are AI benchmarks doomed? Greg Burnham and Tom Adamczewski join Anson Ho to push back on benchmark pessimism and dig into what the next generation of AI benchmarks could look like. (0:00:00) - Preview (0:00:36) - Intro: Are AI benchmarks doomed? (0:03:13) - The costs and benefits of benchmark development (0:11:48) - MirrorCode and scalable benchmarks (0:20:57) - AI speed-up in benchmark development (0:23:28) - The benchmark-reality gap (0:38:26) - Can an AGI benchmark exist? (0:43:18) - Beyond automated scoring (1:00:45) - How AI changes benchmark building in practice

Are AI benchmarks doomed? Greg Burnham and Tom Adamczewski join Anson Ho to push back on benchmark pessimism and dig into what the next generation of AI benchmarks could look like. (0:00:00) - Preview (0:00:36) - Intro: Are AI benchmarks doomed? (0:03:13) - The costs and benefits of benchmark development (0:11:48) - MirrorCode and scalable benchmarks (0:20:57) - AI speed-up in benchmark development (0:23:28) - The benchmark-reality gap (0:38:26) - Can an AGI benchmark exist? (0:43:18) - Beyond automated scoring (1:00:45) - How AI changes benchmark building in practice

Epoch AI

22,037 просмотров • 3 месяцев назад

This week's guest on Uncapped is Brad Lightcap, COO at OpenAI. We talked about the history of OpenAI, the shift in AI from chat to agents, where new startups can endure, Codex, FDEs, working with Sam, and more. Hope you enjoy! (0:00) Intro (0:39) The early days of OpenAI (3:47) A research centric culture (7:32) Post-ChatGPT chapters (11:54) Sci-Fi future or good software (15:26) AI’s impact on rural communities (18:57) Codex and coding of the future (24:04) Doing a lot of things at once (27:55) What VCs should invest in (35:43) The software sell off (38:23) Using Codex over ChatGPT (42:32) FDEs and Private Equity (44:53) Working with Sam

This week's guest on Uncapped is Brad Lightcap, COO at OpenAI. We talked about the history of OpenAI, the shift in AI from chat to agents, where new startups can endure, Codex, FDEs, working with Sam, and more. Hope you enjoy! (0:00) Intro (0:39) The early days of OpenAI (3:47) A research centric culture (7:32) Post-ChatGPT chapters (11:54) Sci-Fi future or good software (15:26) AI’s impact on rural communities (18:57) Codex and coding of the future (24:04) Doing a lot of things at once (27:55) What VCs should invest in (35:43) The software sell off (38:23) Using Codex over ChatGPT (42:32) FDEs and Private Equity (44:53) Working with Sam

Jack Altman

120,785 просмотров • 4 месяцев назад

Video essay of Notes on China So pleased with how this experiment turned out Petr, thank you for such beautiful watercolor artwork More to come! Timestamps 0:00:00 - Intro 0:00:32 - Scale 0:05:50 - Vibes 0:11:14 - Youngsters 0:14:27 - Tech & AI 0:15:47 - Hearts & Minds 0:17:07 - On Travel

Video essay of Notes on China So pleased with how this experiment turned out Petr, thank you for such beautiful watercolor artwork More to come! Timestamps 0:00:00 - Intro 0:00:32 - Scale 0:05:50 - Vibes 0:11:14 - Youngsters 0:14:27 - Tech & AI 0:15:47 - Hearts & Minds 0:17:07 - On Travel

Dwarkesh Patel

70,022 просмотров • 1 год назад

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 просмотров • 3 месяцев назад

A new episode of Hivemind is out now! This week we discuss the market rebound, DeFi exploit fallout, Crypto AI resurgence, and more. Timestamps: 0:00 Intro + market sentiment shift 08:55 The Aave/KelpDAO exploit explained 17:00 Why DeFi lending models may need to change 37:30 Where DeFi yield still makes sense 38:00 USDAI and real-world AI infrastructure yield 48:20 Venice, Bittensor, and AI token narratives 54:00 How AI agents are changing productivity 1:00:50 What the team is watching next

A new episode of Hivemind is out now! This week we discuss the market rebound, DeFi exploit fallout, Crypto AI resurgence, and more. Timestamps: 0:00 Intro + market sentiment shift 08:55 The Aave/KelpDAO exploit explained 17:00 Why DeFi lending models may need to change 37:30 Where DeFi yield still makes sense 38:00 USDAI and real-world AI infrastructure yield 48:20 Venice, Bittensor, and AI token narratives 54:00 How AI agents are changing productivity 1:00:50 What the team is watching next

Delphi Digital

12,596 просмотров • 3 месяцев назад

Full episode with Andrew Hsu on life as a child prodigy, being one of the first Thiel Fellows and building Speak Timestamps 00:00:00 - Intro 00:03:05 - Started college at twelve 00:05:34 - Homeschooled by immigrant parents 00:08:30 - Three degrees by sixteen 00:19:53 - First Thiel Fellowship class 00:21:07 - Dropping out Stanford PhD 00:25:01 - Why not cure cancer 00:34:47 - Building Speak with AI 00:38:00 - Deep learning winter thawing 00:41:25 - Three failed product launches 00:42:07 - Choosing South Korea market 00:43:03 - Product takes off rocket 00:48:00 - ChatGPT threatens language learning 00:51:15 - OpenAI partnership and investment 00:56:16 - AI completely changes learning

Full episode with Andrew Hsu on life as a child prodigy, being one of the first Thiel Fellows and building Speak Timestamps 00:00:00 - Intro 00:03:05 - Started college at twelve 00:05:34 - Homeschooled by immigrant parents 00:08:30 - Three degrees by sixteen 00:19:53 - First Thiel Fellowship class 00:21:07 - Dropping out Stanford PhD 00:25:01 - Why not cure cancer 00:34:47 - Building Speak with AI 00:38:00 - Deep learning winter thawing 00:41:25 - Three failed product launches 00:42:07 - Choosing South Korea market 00:43:03 - Product takes off rocket 00:48:00 - ChatGPT threatens language learning 00:51:15 - OpenAI partnership and investment 00:56:16 - AI completely changes learning

Ashlee Vance

11,297 просмотров • 1 год назад

Three months ago, Codex was trash for knowledge work. Now it's my daily driver. I use it for writing, recruiting, deep engineering work, and everything in between. It even keeps me at inbox 0. I chatted with Every 📧's head of growth Austin Austin Tedesco on Every 📧's AI & I about what changed, and why he now spends 80% of his working time in the Codex desktop app too. We get into: - How Codex went from making Austin feel like an idiot to being the place he goes to get stuff done, including complex tasks like writing go-to-market plans using existing material from Slack, Notion, and meeting transcripts. - Why the Codex’s desktop app, which is faster and more reliable than Claude Desktop/Cowork, is the real differentiator. - How I source candidates with Codex by having it identify career arcs, not keywords—my go-to move is identifying organizations likely to teach the skills Every needs for a role, and then find candidates from that pool who have since gone on to work in AI. This is a must-watch for anyone who's wondering whether it’s finally time to give Codex a try. Watch below! Timestamps How Codex went from a tool for senior engineers to a daily driver for knowledge work: 00:00:57 How Claude Code proved that a great coding agent works for any knowledge work: 00:02:42 Austin's switch to Codex: 00:07:24 How Austin set up Codex with folders, keys, and reviewer agents: 00:13:48 Using Codex to brainstorm automations across Gmail, Slack, and Notion: 00:18:24 How Austin manages the human review step when Codex is drafting communications: 00:22:42 Using Codex to build specialized agents inspired by product executive Claire Vo: 00:28:54 Synthesizing meeting transcripts and Slack threads into a go-to-market plan: 00:31:09 Building a live KPI tracker in Notion that agents can read: 00:40:15 Using Codex for recruiting: 00:44:54

Three months ago, Codex was trash for knowledge work. Now it's my daily driver. I use it for writing, recruiting, deep engineering work, and everything in between. It even keeps me at inbox 0. I chatted with Every 📧's head of growth Austin Austin Tedesco on Every 📧's AI & I about what changed, and why he now spends 80% of his working time in the Codex desktop app too. We get into: - How Codex went from making Austin feel like an idiot to being the place he goes to get stuff done, including complex tasks like writing go-to-market plans using existing material from Slack, Notion, and meeting transcripts. - Why the Codex’s desktop app, which is faster and more reliable than Claude Desktop/Cowork, is the real differentiator. - How I source candidates with Codex by having it identify career arcs, not keywords—my go-to move is identifying organizations likely to teach the skills Every needs for a role, and then find candidates from that pool who have since gone on to work in AI. This is a must-watch for anyone who's wondering whether it’s finally time to give Codex a try. Watch below! Timestamps How Codex went from a tool for senior engineers to a daily driver for knowledge work: 00:00:57 How Claude Code proved that a great coding agent works for any knowledge work: 00:02:42 Austin's switch to Codex: 00:07:24 How Austin set up Codex with folders, keys, and reviewer agents: 00:13:48 Using Codex to brainstorm automations across Gmail, Slack, and Notion: 00:18:24 How Austin manages the human review step when Codex is drafting communications: 00:22:42 Using Codex to build specialized agents inspired by product executive Claire Vo: 00:28:54 Synthesizing meeting transcripts and Slack threads into a go-to-market plan: 00:31:09 Building a live KPI tracker in Notion that agents can read: 00:40:15 Using Codex for recruiting: 00:44:54

Dan Shipper 📧

55,221 просмотров • 3 месяцев назад

This week, on Benchmark's new podcast Uncapped 😂, I sat down with Bret Taylor, founder of Sierra and Chairman of OpenAI. He's easily one of the most impressive people I’ve met in tech or in general. We talked about AI and the saaspocalypse, the unique considerations of building an AI native / agent company, whether young or experienced founders have the advantage right now, Codex and OpenAI ads, and much more. Learned a ton from Bret, hope you enjoy. (0:00) Intro (0:20) The Saaspocalypse and systems of record (12:34) Sierra's landscape (17:05) Outcome-based pricing (24:22) The rapid evolution of AI support technology (28:21) Young founders vs. experienced founders (34:12) What comes next beyond support (38:47) Codex and the future of software engineering (51:49) OpenAI and advertising (54:59) Working with investors and boards

This week, on Benchmark's new podcast Uncapped 😂, I sat down with Bret Taylor, founder of Sierra and Chairman of OpenAI. He's easily one of the most impressive people I’ve met in tech or in general. We talked about AI and the saaspocalypse, the unique considerations of building an AI native / agent company, whether young or experienced founders have the advantage right now, Codex and OpenAI ads, and much more. Learned a ton from Bret, hope you enjoy. (0:00) Intro (0:20) The Saaspocalypse and systems of record (12:34) Sierra's landscape (17:05) Outcome-based pricing (24:22) The rapid evolution of AI support technology (28:21) Young founders vs. experienced founders (34:12) What comes next beyond support (38:47) Codex and the future of software engineering (51:49) OpenAI and advertising (54:59) Working with investors and boards

Jack Altman

417,178 просмотров • 5 месяцев назад

I spoke at length with OpenAI President Greg Brockman about the company's double-down bet on text models, AI takeoff, Codex, infrastructure scaling, and plenty more. Full episode below: 0:00 Introduction 4:06 Why OpenAI Pulled Back From Sora 11:24 The OpenAI Super App Plan 22:59 OpenAI's Forthcoming “Spud” Model 28:13 OpenAI’s Automated AI Researcher Plan 31:12 AI Risk, Safety, and Takeoff 55:15 The Logic Behind OpenAI’s Compute Spending 1:03:24 Why So Many People Still Distrust AI

I spoke at length with OpenAI President Greg Brockman about the company's double-down bet on text models, AI takeoff, Codex, infrastructure scaling, and plenty more. Full episode below: 0:00 Introduction 4:06 Why OpenAI Pulled Back From Sora 11:24 The OpenAI Super App Plan 22:59 OpenAI's Forthcoming “Spud” Model 28:13 OpenAI’s Automated AI Researcher Plan 31:12 AI Risk, Safety, and Takeoff 55:15 The Logic Behind OpenAI’s Compute Spending 1:03:24 Why So Many People Still Distrust AI

Alex Kantrowitz

45,616 просмотров • 4 месяцев назад

🚨 POD UP! -- OpenAI misses targets, but Codex gains on Claude -- Elon vs Sam Altman trial, Brockman's diary -- Why AI cybersecurity is the next major market -- Hyperscalers show huge revenue and bigger Capex -- Retatrutide and peptides go mainstream (0:00) Bestie intros (3:05) OpenAI misses targets, Codex gains on Claude (20:02) AI cybersecurity: a market that's about to explode (31:03) Elon vs Sam Altman lawsuit (41:00) Big tech smashes earnings, Capex explosion (52:44) Vibecoding nightmare: AI deleted someone's codebase (58:33) Retatrutide craze: peptides go mainstream (1:06:34) Friedberg's Supreme Court experience

🚨 POD UP! -- OpenAI misses targets, but Codex gains on Claude -- Elon vs Sam Altman trial, Brockman's diary -- Why AI cybersecurity is the next major market -- Hyperscalers show huge revenue and bigger Capex -- Retatrutide and peptides go mainstream (0:00) Bestie intros (3:05) OpenAI misses targets, Codex gains on Claude (20:02) AI cybersecurity: a market that's about to explode (31:03) Elon vs Sam Altman lawsuit (41:00) Big tech smashes earnings, Capex explosion (52:44) Vibecoding nightmare: AI deleted someone's codebase (58:33) Retatrutide craze: peptides go mainstream (1:06:34) Friedberg's Supreme Court experience

The All-In Podcast

215,237 просмотров • 3 месяцев назад

“China’s Cognitive Warfare” - Palantir Co-Founder Joe Lonsdale On Iran threats, AI PsyOps & CIA Funding (0:05:00) Smart People Circle (0:20:13) Recruiting in Palentir (0:26:57) Palentir Mission (0:30:17) Why Is Palentir Not Trusted (0:39:51) Who is Your Biggest Enemy (0:50:24) Israel & Iran (1:07:38) Women & Wives (1:10:03) Private Equity (1:27:00) AI Investments & Greenland (1:33:34) Bari Weiss

“China’s Cognitive Warfare” - Palantir Co-Founder Joe Lonsdale On Iran threats, AI PsyOps & CIA Funding (0:05:00) Smart People Circle (0:20:13) Recruiting in Palentir (0:26:57) Palentir Mission (0:30:17) Why Is Palentir Not Trusted (0:39:51) Who is Your Biggest Enemy (0:50:24) Israel & Iran (1:07:38) Women & Wives (1:10:03) Private Equity (1:27:00) AI Investments & Greenland (1:33:34) Bari Weiss

PBD Podcast

86,096 просмотров • 5 месяцев назад

I got Meng To to break down how to create AI designs with Codex that aren't slop: 0:00 - The line that scares everyone 2:44 - Why Meng dropped Cursor 4:05 - Codex setup + the AI browser 8:43 - His real project folders 13:27 - AI avatars + the UGC shift 15:49 - Plugins vs skills vs computer use 24:04 - The folder system for agents 30:57 - When to give AI full access 32:55 - Slides from your real data 42:00 - The screenshot shortcut 47:31 - The senior designer taste skill 54:58 - Building your digital twin 1:05:30 - Who's surviving the layoffs 1:12:39 - Meng's endgame advice

I got Meng To to break down how to create AI designs with Codex that aren't slop: 0:00 - The line that scares everyone 2:44 - Why Meng dropped Cursor 4:05 - Codex setup + the AI browser 8:43 - His real project folders 13:27 - AI avatars + the UGC shift 15:49 - Plugins vs skills vs computer use 24:04 - The folder system for agents 30:57 - When to give AI full access 32:55 - Slides from your real data 42:00 - The screenshot shortcut 47:31 - The senior designer taste skill 54:58 - Building your digital twin 1:05:30 - Who's surviving the layoffs 1:12:39 - Meng's endgame advice

Aakash Gupta

155,039 просмотров • 28 дней назад

How persuadable are humans, really? Sam Altman returns to discuss accidental AI takeover, why GPT-6 might crack real science, when we'll see AI CEOs running the show, and the question he asked someone to pose to the Dalai Lama. Timestamps 0:00:00 – Sam’s basic trick for productivity 0:01:22 – Hiring hardware vs. software people 0:05:46 – How long before an AI CEO 0:10:48 – Government backstops for AI companies 0:13:26 – Monetizing AI services 0:18:04 – Negotiating deals with Saudia Arabia and the UAE 0:22:00 – How good GPT-6 will be at poetry 0:25:15 – Chip-building and where the energy will come from 0:29:04 – Sam’s changing health habits 0:30:20 – UAP’s and conspiracy theories 0:31:43 – Revitalizing St. Louis 0:33:12 – Regulating AI agents 0:34:39 – New ways to interface with AI 0:38:12 – How normies will learn AI 0:44:36 – The trajectory of healthcare and housing prices 0:46:57 – Reexamining freedom of speech 0:50:08 – Humanity’s persuadability Recorded live with tylercowen and Sam Altman at the 2025 Progress Conference, hosted by Roots of Progress Institute. Thanks to Big Think for the video production.

How persuadable are humans, really? Sam Altman returns to discuss accidental AI takeover, why GPT-6 might crack real science, when we'll see AI CEOs running the show, and the question he asked someone to pose to the Dalai Lama. Timestamps 0:00:00 – Sam’s basic trick for productivity 0:01:22 – Hiring hardware vs. software people 0:05:46 – How long before an AI CEO 0:10:48 – Government backstops for AI companies 0:13:26 – Monetizing AI services 0:18:04 – Negotiating deals with Saudia Arabia and the UAE 0:22:00 – How good GPT-6 will be at poetry 0:25:15 – Chip-building and where the energy will come from 0:29:04 – Sam’s changing health habits 0:30:20 – UAP’s and conspiracy theories 0:31:43 – Revitalizing St. Louis 0:33:12 – Regulating AI agents 0:34:39 – New ways to interface with AI 0:38:12 – How normies will learn AI 0:44:36 – The trajectory of healthcare and housing prices 0:46:57 – Reexamining freedom of speech 0:50:08 – Humanity’s persuadability Recorded live with tylercowen and Sam Altman at the 2025 Progress Conference, hosted by Roots of Progress Institute. Thanks to Big Think for the video production.

Conversations with Tyler

74,177 просмотров • 9 месяцев назад

The tensorqt in SF episode is here. This is special. Just being terminally online on this app - post ideas, meet mutuals, raise funds, and build a frontier company. This has been Francesco's journey building infra for autonomous research at Paradigma. 0:00:00 - INTRO 0:01:03 - Dropping out of PhD, Saturation in Academia, Building from EU 0:13:15 - Autoresearch, Idea behind Flywheel, ex-OpenAI Co-founder 0:19:18 - Evals for Autoreserch and Research Taste 0:25:00 - How a Research Lab uses Flywheel? 0:31:15 - Thesis and Autoresearch Adoption in Top 5 Labs 0:41:00 - Working around with Flywheel, Combinatorial Explosion 1:02:03 - Science as Public Graph, Deriving New Research Loop, Quick Fire 1:06:23 - Toughest Autoresearch Challenge as of Today, Future Directions 1:11:53 - Automating Science: Sakana and Deepmind, Trust Problem? 1:21:07 - Business Model, Automating R&D, Model Capabilities 1:27:20 - Dropout of college to live on frontier!

The tensorqt in SF episode is here. This is special. Just being terminally online on this app - post ideas, meet mutuals, raise funds, and build a frontier company. This has been Francesco's journey building infra for autonomous research at Paradigma. 0:00:00 - INTRO 0:01:03 - Dropping out of PhD, Saturation in Academia, Building from EU 0:13:15 - Autoresearch, Idea behind Flywheel, ex-OpenAI Co-founder 0:19:18 - Evals for Autoreserch and Research Taste 0:25:00 - How a Research Lab uses Flywheel? 0:31:15 - Thesis and Autoresearch Adoption in Top 5 Labs 0:41:00 - Working around with Flywheel, Combinatorial Explosion 1:02:03 - Science as Public Graph, Deriving New Research Loop, Quick Fire 1:06:23 - Toughest Autoresearch Challenge as of Today, Future Directions 1:11:53 - Automating Science: Sakana and Deepmind, Trust Problem? 1:21:07 - Business Model, Automating R&D, Model Capabilities 1:27:20 - Dropout of college to live on frontier!

himanshu

14,913 просмотров • 3 месяцев назад

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?

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 просмотров • 1 год назад