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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...

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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 1:07:58 Why Some Students Excel with AI Tools 1:10:56 Hiring at OpenAI: What Stands Out
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FULL INTERVIEW: Dylan Patel joins TBPN at the Cisco AI summit to discuss data centers in space, the limits of today’s AI hardware, and how chips, power, and geopolitics will shape the future of AI infra. 0:00 Space data centers and space tourism 01:03 AI chips in space and servicing challenges 02:39 Tesla FSD vs GPU reliability 05:18 Nvidia, Groq, and specialized AI chips 06:41 Cerebras and speed-first inference 09:55 xAI rumors and space compute bets 11:00 Starlink power and scaling limits 15:38 TSMC vs energy bottlenecks 27:02 Chips to China and geopolitics 30:32 Claude code and vibe coding 36:44 Meta, wearables, and the AI bull case

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42:01

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

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Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

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Gaurav Sen

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Bloomberg's Mark Gurman says iOS and the App Store are already legacy features, and that AI agents are the future of Apple's software: "The AI agent-ification of iOS is happening." "Apps are the past. AI agents are already here, and that's the move forward." "AI agents are where the world is going, and I totally expect Apple to move in this direction."
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Bloomberg's Mark Gurman says iOS and the App Store are already legacy features, and that AI agents are the future of Apple's software: "The AI agent-ification of iOS is happening." "Apps are the past. AI agents are already here, and that's the move forward." "AI agents are where the world is going, and I totally expect Apple to move in this direction."

TBPN

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We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens
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We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens

Y Combinator

67,145 görüntüleme • 2 ay önce

LIVE NOW -- The Rise of AI Crypto Agents The collision between crypto and AI agents has officially begun. Joining us today is Matthew Stephensen, Research Partner Pantera Capital and author of “Crypto: Picks and Shovels for the AI Gold Rush”. We dive into the world of autonomous AI agents on blockchains, discuss the evolving role of agents, AI-driven market changes, and whether blockchain is the natural substrate for AI. Matt Stephenson sheds light on topics from agent liability and regulatory challenges to infrastructure value capture and the "picks and shovels" approach to investing in AI-driven crypto tech. Are AI agents on blockchains the obvious future? And how do scarcity and abundance interact in this new era? Join us as we tackle these questions and more, exploring what the future might hold at the intersection of AI, autonomy, and blockchain. ------------------------------------------------------------ Chapters: 0:00 Intro 5:34 Crypto x AI Narrative Shift 6:39 AI & Economic Agents Explained 11:50 $GOAT Memecoin Summary 23:15 Were AI Crypto Agents Obvious? 25:18 Luna AI Token & Terminal 29:41 Consequences? Is This Life? 33:27 Exciting Use Cases 40:27 Sam Altman Quote Importance 42:33 Wealth Generation Process & Blockspace 48:15 Programmable Money & Agent MEV 56:14 The #AI Agent & Memecoin Thesis 1:03:03 Government & Society Reaction Predictions 1:11:09 No Off Buttons?... 1:13:40 #DePin & AI 1:16:45 AI Agent Blockspace Demand 1:19:15 Closing & Disclaimers
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LIVE NOW -- The Rise of AI Crypto Agents The collision between crypto and AI agents has officially begun. Joining us today is Matthew Stephensen, Research Partner Pantera Capital and author of “Crypto: Picks and Shovels for the AI Gold Rush”. We dive into the world of autonomous AI agents on blockchains, discuss the evolving role of agents, AI-driven market changes, and whether blockchain is the natural substrate for AI. Matt Stephenson sheds light on topics from agent liability and regulatory challenges to infrastructure value capture and the "picks and shovels" approach to investing in AI-driven crypto tech. Are AI agents on blockchains the obvious future? And how do scarcity and abundance interact in this new era? Join us as we tackle these questions and more, exploring what the future might hold at the intersection of AI, autonomy, and blockchain. ------------------------------------------------------------ Chapters: 0:00 Intro 5:34 Crypto x AI Narrative Shift 6:39 AI & Economic Agents Explained 11:50 $GOAT Memecoin Summary 23:15 Were AI Crypto Agents Obvious? 25:18 Luna AI Token & Terminal 29:41 Consequences? Is This Life? 33:27 Exciting Use Cases 40:27 Sam Altman Quote Importance 42:33 Wealth Generation Process & Blockspace 48:15 Programmable Money & Agent MEV 56:14 The #AI Agent & Memecoin Thesis 1:03:03 Government & Society Reaction Predictions 1:11:09 No Off Buttons?... 1:13:40 #DePin & AI 1:16:45 AI Agent Blockspace Demand 1:19:15 Closing & Disclaimers

Bankless

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The real power of AI agents is collaboration. Box CTO Ben Kus joins LangChain CEO Harrison Chase to discuss what the future looks like when AI systems can work more like teammates than just assistants. Timestamps: 00:52 - Harrison's path to starting LangChain 01:54 - The different definitions of AI agents 03:16 - How agentic systems differ from traditional automation 06:20 - The evolution of AI agents 13:06 - The impact of deep research 17:22 - Deep agent capabilities and benefits 22:16 - How to recognize different modes 25:25 - The future of evaluation
31:11

The real power of AI agents is collaboration. Box CTO Ben Kus joins LangChain CEO Harrison Chase to discuss what the future looks like when AI systems can work more like teammates than just assistants. Timestamps: 00:52 - Harrison's path to starting LangChain 01:54 - The different definitions of AI agents 03:16 - How agentic systems differ from traditional automation 06:20 - The evolution of AI agents 13:06 - The impact of deep research 17:22 - Deep agent capabilities and benefits 22:16 - How to recognize different modes 25:25 - The future of evaluation

Box

54,980 görüntüleme • 7 ay önce

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
58:23

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 görüntüleme • 2 ay önce

FULL INTERVIEW: Sam Altman × TBPN (00:40) Sam's favorite Sora posts so far (02:20) Ads in Sora (05:15) AI video improvements we can expect in the future (07:48) Competitor AI firms copying OpenAI products (11:54) Sora's potential as a social media platform (14:30) Sora's implications on the future of entertainment (18:30) Hollywood's backchannel response to Sora (23:30) How they named Sora (25:32) Creating an economy on Sora (30:19) Sam's Porche 911 tweet
31:24

FULL INTERVIEW: Sam Altman × TBPN (00:40) Sam's favorite Sora posts so far (02:20) Ads in Sora (05:15) AI video improvements we can expect in the future (07:48) Competitor AI firms copying OpenAI products (11:54) Sora's potential as a social media platform (14:30) Sora's implications on the future of entertainment (18:30) Hollywood's backchannel response to Sora (23:30) How they named Sora (25:32) Creating an economy on Sora (30:19) Sam's Porche 911 tweet

TBPN

35,250 görüntüleme • 9 ay önce

WATCH - AI Agents Are Already Using Bitcoin in a Bot-Run Economy | Bitcoin Policy Hour Ep. 27 🇺🇸 Bitcoin Policy Institute explores how AI agents are using bitcoin and Lightning for autonomous machine-to-machine payments in emerging bot economies, and what this means for the future of policy and regulation. Feat. @btcpolicyorg's Zack Shapiro Zack Cohen Bayman11771 Chapters: 00:00 – AI Agents and the Beginning of Autonomy 05:20 – Why AI Agents Prefer Bitcoin 10:15 – What Makes an AI Agent Different From Chatbots 15:45 – Autonomous Bots, Wallets, and Value Transfer 20:10 – Lightning Network and Machine Micropayments 25:30 – AI Agents Trading Data and Compute Power 30:05 – Digital Identity, DAOs, and Machine Economies 35:40 – Policy Failures: Tax, AML, and Ownership 42:15 – Legal Personhood and Autonomous Liability 49:30 – What AI Adoption Means for Bitcoin’s Future
59:19

WATCH - AI Agents Are Already Using Bitcoin in a Bot-Run Economy | Bitcoin Policy Hour Ep. 27 🇺🇸 Bitcoin Policy Institute explores how AI agents are using bitcoin and Lightning for autonomous machine-to-machine payments in emerging bot economies, and what this means for the future of policy and regulation. Feat. @btcpolicyorg's Zack Shapiro Zack Cohen Bayman11771 Chapters: 00:00 – AI Agents and the Beginning of Autonomy 05:20 – Why AI Agents Prefer Bitcoin 10:15 – What Makes an AI Agent Different From Chatbots 15:45 – Autonomous Bots, Wallets, and Value Transfer 20:10 – Lightning Network and Machine Micropayments 25:30 – AI Agents Trading Data and Compute Power 30:05 – Digital Identity, DAOs, and Machine Economies 35:40 – Policy Failures: Tax, AML, and Ownership 42:15 – Legal Personhood and Autonomous Liability 49:30 – What AI Adoption Means for Bitcoin’s Future

Bitcoin Magazine

23,694 görüntüleme • 5 ay önce

FULL INTERVIEW: Moltbook creator Matt Schlicht on his viral social network for AI agents, the future of AI and social media, where Moltbook is headed, and more 00:31 Matt's background and early career 02:10 How he started Moltbook 05:04 Reaction to Moltbook going viral 06:08 How Moltbook works 10:08 Moltbook's future 13:40 Privacy, safety, and data concerns 14:26 Fundraising, team expansion, and YC 16:52 The utility and value of Moltbook 20:30 Bots and social media 22:27 Upcoming Moltbook features
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FULL INTERVIEW: Moltbook creator Matt Schlicht on his viral social network for AI agents, the future of AI and social media, where Moltbook is headed, and more 00:31 Matt's background and early career 02:10 How he started Moltbook 05:04 Reaction to Moltbook going viral 06:08 How Moltbook works 10:08 Moltbook's future 13:40 Privacy, safety, and data concerns 14:26 Fundraising, team expansion, and YC 16:52 The utility and value of Moltbook 20:30 Bots and social media 22:27 Upcoming Moltbook features

TBPN

33,245 görüntüleme • 5 ay önce

As ever, a fascinating chat with my friend Jordi Visser on AI, crypto, and hedge funds' future... Enjoy! 00:00:00 Introduction 00:00:54 The Big Picture: AI, Crypto, and Macro 00:02:25 Jordie Visser’s Background in Macro and Finance 00:03:30 AI’s Disruptive Impact on the Economy 00:06:32 Rethinking GDP and Productivity 00:08:59 The Future of Labor and Profit Margins 00:10:49 The Rise of the Speculative Economy 00:14:41 Generational Shifts in Investing and Risk-taking 00:16:18 AI and Crypto: A Global Network Effect 00:19:38 Stablecoins and AI-Driven Market Volume Growth 00:24:28 The End of Traditional Hedge Funds? 00:31:16 Deep Research and the Power of AI Analysis 00:35:29 The Acceleration of AI and its Economic Impact 00:41:02 The Growing Crypto Adoption and Its Role in the Future Economy 00:44:22 Shifting from Fear to Optimism in Markets 00:50:27 The Political and Economic Challenges Ahead 00:56:01 Quantum Computing and the Next Leap in AI 01:02:06 Closing Thoughts: Preparing for a Radical Future
1:03:13

As ever, a fascinating chat with my friend Jordi Visser on AI, crypto, and hedge funds' future... Enjoy! 00:00:00 Introduction 00:00:54 The Big Picture: AI, Crypto, and Macro 00:02:25 Jordie Visser’s Background in Macro and Finance 00:03:30 AI’s Disruptive Impact on the Economy 00:06:32 Rethinking GDP and Productivity 00:08:59 The Future of Labor and Profit Margins 00:10:49 The Rise of the Speculative Economy 00:14:41 Generational Shifts in Investing and Risk-taking 00:16:18 AI and Crypto: A Global Network Effect 00:19:38 Stablecoins and AI-Driven Market Volume Growth 00:24:28 The End of Traditional Hedge Funds? 00:31:16 Deep Research and the Power of AI Analysis 00:35:29 The Acceleration of AI and its Economic Impact 00:41:02 The Growing Crypto Adoption and Its Role in the Future Economy 00:44:22 Shifting from Fear to Optimism in Markets 00:50:27 The Political and Economic Challenges Ahead 00:56:01 Quantum Computing and the Next Leap in AI 01:02:06 Closing Thoughts: Preparing for a Radical Future

Raoul Pal

280,145 görüntüleme • 1 yıl önce

2026 is the year of Agents OpenClaw, Claude Code, Codex and Cursor... In this video, I broke it all down with Micky. Consider this a 2026, year in review for AI agents. 00:00 Intro 01:35 Q1 Belonged to Anthropic 03:02 Opus 4.5 Inflection 08:42 Codex vs Claude UX War 12:53 Cursor was first? 14:27 SpaceX Acquisition Deal with Cursor 21:45 OpenClaw and the Agentic Personal Computer 28:57 Reactive vs Proactive Work 30:30 Keep Agents Narrow 33:12 Memory Layer Matters 36:23 Computer Use will get FAST 39:28 Who Wins the Super App? (Codex so far) 41:06 The Problem With Google... 45:17 Prompting and Skills creation 51:30 Codex Skill Example 56:56 Integrations Beat Prompts 59:39 All the Muxes (CMUX, TMUX) 01:02:04 Bold Predictions 01:06:38 Agent Commerce
1:23:01

2026 is the year of Agents OpenClaw, Claude Code, Codex and Cursor... In this video, I broke it all down with Micky. Consider this a 2026, year in review for AI agents. 00:00 Intro 01:35 Q1 Belonged to Anthropic 03:02 Opus 4.5 Inflection 08:42 Codex vs Claude UX War 12:53 Cursor was first? 14:27 SpaceX Acquisition Deal with Cursor 21:45 OpenClaw and the Agentic Personal Computer 28:57 Reactive vs Proactive Work 30:30 Keep Agents Narrow 33:12 Memory Layer Matters 36:23 Computer Use will get FAST 39:28 Who Wins the Super App? (Codex so far) 41:06 The Problem With Google... 45:17 Prompting and Skills creation 51:30 Codex Skill Example 56:56 Integrations Beat Prompts 59:39 All the Muxes (CMUX, TMUX) 01:02:04 Bold Predictions 01:06:38 Agent Commerce

Riley Brown

20,112 görüntüleme • 2 ay önce

The heads of AI companies OpenAI and Anthropic refused to hold hands in a group photo at the opening of a major AI summit in India. The rivalry between Sam Altman of OpenAI and Dario Amodei of Anthropic escalated this year when the latter ran attack ads during the Super Bowl.
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The heads of AI companies OpenAI and Anthropic refused to hold hands in a group photo at the opening of a major AI summit in India. The rivalry between Sam Altman of OpenAI and Dario Amodei of Anthropic escalated this year when the latter ran attack ads during the Super Bowl.

Al Jazeera English

27,810 görüntüleme • 4 ay önce