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WATCH: Bitchat Explained: How to Send Messages when the Internet Goes Down The internet can be shut off. Your ability to communicate shouldn't be. calle explains to Frank Corva how BitChat makes communication unstoppable. No sim, no accounts, no internet. Absolute freedom. From the 2026 MIT Bitcoin Club Expo....

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You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead
22:35

You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead

Y Combinator

359,440 görüntüleme • 6 ay önce

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
41:29

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 • 3 ay önce

> "In no scenario is it bad for the US to have frontier-class open-source models." > "Every time there’s a step-function improvement in AI, a human bottleneck emerges alongside it." > "Your desire to be liked sometimes takes away from your desire to do the right thing and seek the truth." > "Every job will get refactored. The people who aren’t AI fluent will have a very hard time finding jobs." Jeetu Patel (Jeetu Patel), President & Chief Product Officer at Cisco sat down for an expansive talk about life and the future. 00:00 AI, jobs, and human potential 00:41 AI cybersecurity and Cisco’s security models 06:33 Why Cisco released the models openly 08:08 Running AI models locally 10:12 Why people are negative about AI 12:14 Will humans always be needed? 14:56 Can curiosity and ambition be taught? 17:12 Passion vs. expertise 19:39 The importance of unlearning 23:52 How to find the truth 26:06 How to get people excited about AI 33:35 How open source affects the AI industry 35:07 Can open-source AI make money? 46:44 Are Chinese open-source models good for the US? 49:55 Should the US restrict Chinese AI models? 53:05 Does open source make humanity safer? 54:11 Advice for people worried about AI
57:20

> "In no scenario is it bad for the US to have frontier-class open-source models." > "Every time there’s a step-function improvement in AI, a human bottleneck emerges alongside it." > "Your desire to be liked sometimes takes away from your desire to do the right thing and seek the truth." > "Every job will get refactored. The people who aren’t AI fluent will have a very hard time finding jobs." Jeetu Patel (Jeetu Patel), President & Chief Product Officer at Cisco sat down for an expansive talk about life and the future. 00:00 AI, jobs, and human potential 00:41 AI cybersecurity and Cisco’s security models 06:33 Why Cisco released the models openly 08:08 Running AI models locally 10:12 Why people are negative about AI 12:14 Will humans always be needed? 14:56 Can curiosity and ambition be taught? 17:12 Passion vs. expertise 19:39 The importance of unlearning 23:52 How to find the truth 26:06 How to get people excited about AI 33:35 How open source affects the AI industry 35:07 Can open-source AI make money? 46:44 Are Chinese open-source models good for the US? 49:55 Should the US restrict Chinese AI models? 53:05 Does open source make humanity safer? 54:11 Advice for people worried about AI

Matthew Berman

69,339 görüntüleme • 27 gün önce

Supabase (YC S20) is one of the fastest-growing developer platforms in the world, with more than 10 million developers using it. As AI coding agents like Claude Code, Lovable, Bolt, and Codex have taken off, they've become the backend powering millions of AI-generated apps. At Startup School Paris, Supabase co-founder and CEO Paul Copplestone (Paul Copplestone - e/postgres) sat down with YC's Nicolas Dessaigne to discuss why AI coding agents have changed the way developers build software, how open source helped Supabase compete with the cloud giants, and why the next frontier is self-driving databases. 00:56 — Paul's Origin Story 02:13 — Two Failed Startups First 04:12 — Why Postgres? Why Open Source? 07:11 — The Pivot That Actually Worked 08:03 — Targeting YC Startups from Day One 09:45 — Fully Open Source — The Risky Choice 12:04 — Winning Developer Trust 13:33 — Time to Value: 8 Minutes → 5 Seconds 15:45 — The AI Second Life Begins 17:48 — Supabase for Platforms 19:09 — Everything Going Up Into the Right 20:44 — When Agents Became the Users 22:26 — Advice for Founders Building Dev Tools Today 23:47 — Why Open Source Won the LLM Era 25:32 — $500M Round, $10B Valuation 26:01 — What Keeps a Founder Grounded 28:31 — 360 People, 60 Countries, Zero Offices
31:20

Supabase (YC S20) is one of the fastest-growing developer platforms in the world, with more than 10 million developers using it. As AI coding agents like Claude Code, Lovable, Bolt, and Codex have taken off, they've become the backend powering millions of AI-generated apps. At Startup School Paris, Supabase co-founder and CEO Paul Copplestone (Paul Copplestone - e/postgres) sat down with YC's Nicolas Dessaigne to discuss why AI coding agents have changed the way developers build software, how open source helped Supabase compete with the cloud giants, and why the next frontier is self-driving databases. 00:56 — Paul's Origin Story 02:13 — Two Failed Startups First 04:12 — Why Postgres? Why Open Source? 07:11 — The Pivot That Actually Worked 08:03 — Targeting YC Startups from Day One 09:45 — Fully Open Source — The Risky Choice 12:04 — Winning Developer Trust 13:33 — Time to Value: 8 Minutes → 5 Seconds 15:45 — The AI Second Life Begins 17:48 — Supabase for Platforms 19:09 — Everything Going Up Into the Right 20:44 — When Agents Became the Users 22:26 — Advice for Founders Building Dev Tools Today 23:47 — Why Open Source Won the LLM Era 25:32 — $500M Round, $10B Valuation 26:01 — What Keeps a Founder Grounded 28:31 — 360 People, 60 Countries, Zero Offices

Y Combinator

56,760 görüntüleme • 1 ay önce

“This Is EXACTLY What THE BOTTOM Feels Like” Watch our latest full conversation with Samson Mow (Samson Mow) as he dispels the FUD and explains exactly what is going on with Bitcoin right now Timestamps 00:00 Cold Open 01:35 Why Saylor Sold and Why It's Not a Betrayal 05:15 MSTR, BTC, STRC: Is Someone Forced to Lose? 07:25 MSTR Is Amplified Bitcoin in Both Directions 09:25 The Four-Year Cycle Is Complete Rubbish 11:20 Why Everything Else Pumps While Bitcoin Lags 14:50 Treasury Company Bickering and the Orange Ties 21:10 Separation of Money and State 22:40 Iran, Hormuz, and Censorship Resistant Money 26:15 Agentic Aqua: A Bitcoin Wallet for AI Agents 32:05 Production Ready and a Third Bitcoin Client 34:25 Ossification and the Knots BIP-110 Debate 36:25 Is Quantum a Nothing Burger? 38:45 The Clarity Act, Banks, and Stablecoins 43:25 Self-Custody vs Financial Products 46:35 Ending 2026: The Omega Candle to $1 Million 47:45 Where to Find Jan3 and Aqua Watch on YouTube:
48:31

“This Is EXACTLY What THE BOTTOM Feels Like” Watch our latest full conversation with Samson Mow (Samson Mow) as he dispels the FUD and explains exactly what is going on with Bitcoin right now Timestamps 00:00 Cold Open 01:35 Why Saylor Sold and Why It's Not a Betrayal 05:15 MSTR, BTC, STRC: Is Someone Forced to Lose? 07:25 MSTR Is Amplified Bitcoin in Both Directions 09:25 The Four-Year Cycle Is Complete Rubbish 11:20 Why Everything Else Pumps While Bitcoin Lags 14:50 Treasury Company Bickering and the Orange Ties 21:10 Separation of Money and State 22:40 Iran, Hormuz, and Censorship Resistant Money 26:15 Agentic Aqua: A Bitcoin Wallet for AI Agents 32:05 Production Ready and a Third Bitcoin Client 34:25 Ossification and the Knots BIP-110 Debate 36:25 Is Quantum a Nothing Burger? 38:45 The Clarity Act, Banks, and Stablecoins 43:25 Self-Custody vs Financial Products 46:35 Ending 2026: The Omega Candle to $1 Million 47:45 Where to Find Jan3 and Aqua Watch on YouTube:

Bitcoin News

12,442 görüntüleme • 2 ay önce

INTERVIEW: AI, Surveillance, & the Fight for Digital Sovereignty | Near's Illia Polosukhin What happens when powerful AI requires an ID, governments can restrict access by country, and your most private data flows through centralized systems? NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) joins David Hoffman to explain why AI export controls could fracture the internet, how nationalized AI could become a surveillance layer, and why decentralized, user-owned AI may be the only real alternative. They also unpack Ironclaw, confidential inference, private agents, and NEAR’s push to make AI and assets fully sovereign. [TIMESTAMPS] 0:00 Intro 3:47 Pandora’s Box Opens 6:03 AI Meets Government 7:16 Decentralizing the Stack 8:51 Why Ban Fable? 11:18 Internet Balkanization 13:57 KYC for AI? 18:43 Nationalized Models 21:07 Building Private AI 26:30 Agent Marketplace 30:26 User-Owned Alignment 35:28 Winning Against Giants 40:19 Regulation Fuels Crypto 42:24 Global AI Adoption 45:05 Compute Is the Bottleneck 49:00 Enterprise Use Cases 51:39 Confidential TVL Explained 55:25 Full Sovereign Mode
57:26

INTERVIEW: AI, Surveillance, & the Fight for Digital Sovereignty | Near's Illia Polosukhin What happens when powerful AI requires an ID, governments can restrict access by country, and your most private data flows through centralized systems? NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) joins David Hoffman to explain why AI export controls could fracture the internet, how nationalized AI could become a surveillance layer, and why decentralized, user-owned AI may be the only real alternative. They also unpack Ironclaw, confidential inference, private agents, and NEAR’s push to make AI and assets fully sovereign. [TIMESTAMPS] 0:00 Intro 3:47 Pandora’s Box Opens 6:03 AI Meets Government 7:16 Decentralizing the Stack 8:51 Why Ban Fable? 11:18 Internet Balkanization 13:57 KYC for AI? 18:43 Nationalized Models 21:07 Building Private AI 26:30 Agent Marketplace 30:26 User-Owned Alignment 35:28 Winning Against Giants 40:19 Regulation Fuels Crypto 42:24 Global AI Adoption 45:05 Compute Is the Bottleneck 49:00 Enterprise Use Cases 51:39 Confidential TVL Explained 55:25 Full Sovereign Mode

Bankless

59,588 görüntüleme • 2 ay önce

"The issue is it wasn't built for humans." Yat Siu (Yat Siu) co-founded Animoca Brands. Started building NFT infrastructure when CryptoKitties melted Ethereum. Made the AI + crypto argument years before anyone listened. The man who has spent a decade selling crypto to retail now thinks the next customer won't be retail at all. "There's going to be more agents than humans. The entire internet is going to be swarmed by agents." We cover: Why AI agents, not humans, become the actual customer crypto was built for The infrastructure that has to exist before agents can transact at machine speed Why every consumer app breaks when agents replace browsing (the Tinder example) How meme coins pulled focus from the builders who actually mattered Why tokens become the commodity layer for compute, energy, and attention The orchestration layer thesis, where real development is happening now Why the metaverse isn't dead, it's just coming to us through agents What retail should actually be holding right now Thanks to Yat for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 02:00 - Crypto Is Trump's 10th Child 07:30 - Meme Coins Were The Wrong Distraction 12:00 - The Customer Was Never You 17:30 - Code Is Law For Agents 22:00 - More Agents Than Humans 27:00 - The End Of Websites 32:00 - Why On-Chain Growth Stalled 36:00 - What Retail Should Actually Hold
43:06

"The issue is it wasn't built for humans." Yat Siu (Yat Siu) co-founded Animoca Brands. Started building NFT infrastructure when CryptoKitties melted Ethereum. Made the AI + crypto argument years before anyone listened. The man who has spent a decade selling crypto to retail now thinks the next customer won't be retail at all. "There's going to be more agents than humans. The entire internet is going to be swarmed by agents." We cover: Why AI agents, not humans, become the actual customer crypto was built for The infrastructure that has to exist before agents can transact at machine speed Why every consumer app breaks when agents replace browsing (the Tinder example) How meme coins pulled focus from the builders who actually mattered Why tokens become the commodity layer for compute, energy, and attention The orchestration layer thesis, where real development is happening now Why the metaverse isn't dead, it's just coming to us through agents What retail should actually be holding right now Thanks to Yat for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 02:00 - Crypto Is Trump's 10th Child 07:30 - Meme Coins Were The Wrong Distraction 12:00 - The Customer Was Never You 17:30 - Code Is Law For Agents 22:00 - More Agents Than Humans 27:00 - The End Of Websites 32:00 - Why On-Chain Growth Stalled 36:00 - What Retail Should Actually Hold

Michaël van de Poppe

122,039 görüntüleme • 2 ay önce

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses
26:21

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses

Rowan Cheung

268,106 görüntüleme • 1 yıl önce

LIVE NOW - Tempo Mainnet: The Race to Agentic Commerce Tempo is live, and the big bet is clear: AI agents need a native payment layer. Georgios Konstantopoulos and Brendan Ryan join Bankless to explore: - why Tempo launched with agentic payments front and center, - how MPP turns payments into auth, - why “give the agent the wallet” could unlock a new internet economy, - where MPP fits against x402, - what Tempo’s L1 design makes possible for builders. Enjoy the episode. --- TIMESTAMPS 0:00 Tempo Mainnet goes live 1:18 Why the launch is focused on agents 3:58 What MPP actually is 6:30 MPP vs x402 15:28 Why agentic commerce matters 20:08 The “original sin” of the internet 26:04 MCP, NLWeb, and the emerging agent stack 34:07 The onboarding flow: wallets for agents 37:11 How Tempo’s wallet security works 40:11 Tempo chain design and specs 51:13 Why build an L1 instead of an Ethereum L2? 56:10 The Ethereum tension 1:05:01 Agent identity, reputation, and ERC-8004 1:06:53 TIP20, stablecoins, and what can be built on Tempo 1:12:36 Builder opportunity in the agentic web
1:21:50

LIVE NOW - Tempo Mainnet: The Race to Agentic Commerce Tempo is live, and the big bet is clear: AI agents need a native payment layer. Georgios Konstantopoulos and Brendan Ryan join Bankless to explore: - why Tempo launched with agentic payments front and center, - how MPP turns payments into auth, - why “give the agent the wallet” could unlock a new internet economy, - where MPP fits against x402, - what Tempo’s L1 design makes possible for builders. Enjoy the episode. --- TIMESTAMPS 0:00 Tempo Mainnet goes live 1:18 Why the launch is focused on agents 3:58 What MPP actually is 6:30 MPP vs x402 15:28 Why agentic commerce matters 20:08 The “original sin” of the internet 26:04 MCP, NLWeb, and the emerging agent stack 34:07 The onboarding flow: wallets for agents 37:11 How Tempo’s wallet security works 40:11 Tempo chain design and specs 51:13 Why build an L1 instead of an Ethereum L2? 56:10 The Ethereum tension 1:05:01 Agent identity, reputation, and ERC-8004 1:06:53 TIP20, stablecoins, and what can be built on Tempo 1:12:36 Builder opportunity in the agentic web

Bankless

23,815 görüntüleme • 5 ay önce

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
1:05:15

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Matt Turck

11,908 görüntüleme • 3 ay önce

Here is my episode with Patrick Collison We discuss: - what it takes to process $1 trillion/year - how to build multi-decade APIs, companies, and relationships - what's next for Stripe (increasing the GDP of the internet is an open ended task, and the Collison brothers are just getting started). Plus the amazing stuff they're doing at Arc Institute, the financial infrastructure for AI agents, playing devil's advocate on progress studies, and much more. Links to other platforms below. Enjoy! Timestamps: 00:00:46 - Advice for 20-30 year olds 00:12:58 - Progress studies 00:23:07 - Arc Institute 00:35:13 - AI & Fast Grants 00:44:32 - Stripe history 00:56:30 - Stripe Climate 01:02:25 - Beauty & APIs 01:12:37 - Financial innards 01:29:02 - Stripe culture & future 01:42:42 - Virtues of big businesses 01:52:27 - John
1:57:38

Here is my episode with Patrick Collison We discuss: - what it takes to process $1 trillion/year - how to build multi-decade APIs, companies, and relationships - what's next for Stripe (increasing the GDP of the internet is an open ended task, and the Collison brothers are just getting started). Plus the amazing stuff they're doing at Arc Institute, the financial infrastructure for AI agents, playing devil's advocate on progress studies, and much more. Links to other platforms below. Enjoy! Timestamps: 00:00:46 - Advice for 20-30 year olds 00:12:58 - Progress studies 00:23:07 - Arc Institute 00:35:13 - AI & Fast Grants 00:44:32 - Stripe history 00:56:30 - Stripe Climate 01:02:25 - Beauty & APIs 01:12:37 - Financial innards 01:29:02 - Stripe culture & future 01:42:42 - Virtues of big businesses 01:52:27 - John

Dwarkesh Patel

350,541 görüntüleme • 2 yıl önce

Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think
1:16:39

Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think

Matt Turck

33,195 görüntüleme • 3 ay önce

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.
36:32

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

Alex (BCP)

20,791 görüntüleme • 3 ay önce

2025 = the year of AI Agents x DAOS x Onchain Capital Allocation NEW greenpill.network podcast: Today, I'm joined by Shaw (spirit/acc) jin from ai16zdao to talk about AI Agents. How we use them to allocate capital in DAOs? To route information? To accelerate movements? To solve coordination failure? Timestamps for ez navigation 🫡 00:00 - Intro & focusing on DAOs and the intersection of AI agents. 01:00 - AI Agents and Their Impact 02:03 - The Evolution of the Internet 07:52 - Defining AI Agents 09:40 - Reducing Friction in Information Sharing 11:56 - Building a Movement, Not a Cult 14:15 - The Cathedral and the Bazaar Metaphor 16:04 - Using AI for Coordination 17:49 - Reducing Information Siloing 18:39 - Common Tools Across Organizations 19:31 - Open Sourcing Solutions 20:07 - Capital Allocation Challenges 20:55 - AI and Capital Allocation Intersection 21:50 - Human Oversight in Funding 22:48 - Continuous Retroactive Funding 24:42 - Creating a Supportive Culture 25:06 - Feedback Loops for Builders 26:09 - Reducing Overhead in Funding 26:36 - Acknowledging Non-Coding Contributions 27:58 - Chat Summarization Tool 28:34 - Profiles and Social Capital 29:00 - Marketplace of AI Agents 29:46 - Layered AI Systems 32:42 -Human Oversight in AI 34:39 - Feedback Loops in Development 37:01- Documentation and Community Engagement 38:12 - Self-Documenting Code 40:20 - Accelerated Idea Generation 45:03 - Circle of AI Champions 46:32 - Infinite Backrooms Concept 47:48 - Personal Infinite Backroom Ideas 49:23 - Concerns About Backrooms and Information Hiding 51:23 - Infinite Backrooms Concept 53:35 - Implementers and Skill Sharing 54:40 - Vision for the Future 56:39 - Concerns About UBI Implementation 57:56 - Community Income as a Solution 58:14 - A Hope for Self-Sufficiency and AI 59:36 - Outro
1:00:40

2025 = the year of AI Agents x DAOS x Onchain Capital Allocation NEW greenpill.network podcast: Today, I'm joined by Shaw (spirit/acc) jin from ai16zdao to talk about AI Agents. How we use them to allocate capital in DAOs? To route information? To accelerate movements? To solve coordination failure? Timestamps for ez navigation 🫡 00:00 - Intro & focusing on DAOs and the intersection of AI agents. 01:00 - AI Agents and Their Impact 02:03 - The Evolution of the Internet 07:52 - Defining AI Agents 09:40 - Reducing Friction in Information Sharing 11:56 - Building a Movement, Not a Cult 14:15 - The Cathedral and the Bazaar Metaphor 16:04 - Using AI for Coordination 17:49 - Reducing Information Siloing 18:39 - Common Tools Across Organizations 19:31 - Open Sourcing Solutions 20:07 - Capital Allocation Challenges 20:55 - AI and Capital Allocation Intersection 21:50 - Human Oversight in Funding 22:48 - Continuous Retroactive Funding 24:42 - Creating a Supportive Culture 25:06 - Feedback Loops for Builders 26:09 - Reducing Overhead in Funding 26:36 - Acknowledging Non-Coding Contributions 27:58 - Chat Summarization Tool 28:34 - Profiles and Social Capital 29:00 - Marketplace of AI Agents 29:46 - Layered AI Systems 32:42 -Human Oversight in AI 34:39 - Feedback Loops in Development 37:01- Documentation and Community Engagement 38:12 - Self-Documenting Code 40:20 - Accelerated Idea Generation 45:03 - Circle of AI Champions 46:32 - Infinite Backrooms Concept 47:48 - Personal Infinite Backroom Ideas 49:23 - Concerns About Backrooms and Information Hiding 51:23 - Infinite Backrooms Concept 53:35 - Implementers and Skill Sharing 54:40 - Vision for the Future 56:39 - Concerns About UBI Implementation 57:56 - Community Income as a Solution 58:14 - A Hope for Self-Sufficiency and AI 59:36 - Outro

owockai

60,440 görüntüleme • 1 yıl önce

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg
1:05:44

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg

a16z

163,295 görüntüleme • 4 ay önce

Who touches every token that flows through Paul Jankura? It’s not any one model, but it’s Katelyn Lesse, Angela Jiang and the platform team. A year ago, it was just a messages API. Today, their platform sits under every API call, every workflow, and every agent built on Claude. Sonya Huang 🐥 and I explore why they make everything they can externally facing for customers, how they pick markets to target, what it takes to build the best agents, and more: 00:00 Introduction 01:49 Two North Stars 02:27 External Builders And Primitives 03:54 What To Externalize 06:00 From Messages To Agents 08:19 Managed Agents Adoption 09:07 Three Layer Cake 10:22 Execution Harnesses Explained 11:09 Coordination Strategies Roadmap 12:13 Ecosystem Standards And Safety 15:39 Open Ecosystem Not Walled 17:12 Vertical Products And Form Factors 22:26 Claude Tag Under The Hood 26:04 Harness Best Practices 38:13 Token Costs And Whats Next
48:54

Who touches every token that flows through Paul Jankura? It’s not any one model, but it’s Katelyn Lesse, Angela Jiang and the platform team. A year ago, it was just a messages API. Today, their platform sits under every API call, every workflow, and every agent built on Claude. Sonya Huang 🐥 and I explore why they make everything they can externally facing for customers, how they pick markets to target, what it takes to build the best agents, and more: 00:00 Introduction 01:49 Two North Stars 02:27 External Builders And Primitives 03:54 What To Externalize 06:00 From Messages To Agents 08:19 Managed Agents Adoption 09:07 Three Layer Cake 10:22 Execution Harnesses Explained 11:09 Coordination Strategies Roadmap 12:13 Ecosystem Standards And Safety 15:39 Open Ecosystem Not Walled 17:12 Vertical Products And Form Factors 22:26 Claude Tag Under The Hood 26:04 Harness Best Practices 38:13 Token Costs And Whats Next

Lauren Reeder

57,344 görüntüleme • 1 ay önce

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇
58:52

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

Ruslan Khairullin

16,872 görüntüleme • 2 ay önce

BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation. Inside The $2.2B AI Research Accelerator, Turing Founder & CEO, Jonathan Siddharth (), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research Positioning Turing apart from AI data providers like Scale AI, Mercor, & Surge. (00:00) AI Ate The Internet (00:49) Training Superintelligence: the race to AGI (02:31) Viral tweet (03:24) What Turing actually does (04:43) The internet data is “used up” — where will new data come from? (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding (06:07) Automating $30T of global knowledge work (09:18) The $1B revenue opportunity (10:59) Why Turing is a research-first accelerator, not a data labeler (13:45) Jonathan’s Stanford AI Lab roots & founding DNA (17:57) How models are built: pre-training vs. post-training (20:14) RLHF, reinforcement learning, & “breaking the models” (25:19) GPT-5 and the myth of rapid takeoff (30:46) Safety debates and human-in-the-loop systems (34:53) Closing Enterprise Gap: finance, insurance, & pharma (39:23) Why proprietary enterprise data is the next moat in AI
49:29

BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation. Inside The $2.2B AI Research Accelerator, Turing Founder & CEO, Jonathan Siddharth (), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research Positioning Turing apart from AI data providers like Scale AI, Mercor, & Surge. (00:00) AI Ate The Internet (00:49) Training Superintelligence: the race to AGI (02:31) Viral tweet (03:24) What Turing actually does (04:43) The internet data is “used up” — where will new data come from? (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding (06:07) Automating $30T of global knowledge work (09:18) The $1B revenue opportunity (10:59) Why Turing is a research-first accelerator, not a data labeler (13:45) Jonathan’s Stanford AI Lab roots & founding DNA (17:57) How models are built: pre-training vs. post-training (20:14) RLHF, reinforcement learning, & “breaking the models” (25:19) GPT-5 and the myth of rapid takeoff (30:46) Safety debates and human-in-the-loop systems (34:53) Closing Enterprise Gap: finance, insurance, & pharma (39:23) Why proprietary enterprise data is the next moat in AI

Molly O’Shea

70,007 görüntüleme • 10 ay önce

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today
58:00

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Matt Turck

80,718 görüntüleme • 4 ay önce