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DROPS E27: Ben from Talus Labs: Building the Future of Decentralized AI Agents In this episode Ben breaks down why AI isn’t a bubble, how Talus is redefining on-chain agents, and why optimism is something you earn and not something you just feel. We talk about: - Why AI...

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MR SHIFT 🦁

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E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?
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E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?

MR SHIFT 🦁

284,313 Aufrufe • vor 1 Jahr

NEW EP: Purpose-Built AI Chains with Anish Agnihotri and Saneel Seerni of Ritual The future of blockchain design may rest in building systems meant for agents. In today's pod @Robbie_rollup and sat down with and Saneel of Ritual, to cover: > AI Execution Onchain vs. Traditional Models > Why DeFi needs AI More Than Just Bots > How Consensus & Compute Works in AI-Driven Blockchains > Composability & Coordination of Onchain AI > Where AI & DeFi are Headed Next Full episode links below. Timestamps: 00:00 Intro to Ritual 5:50 AI Crypto Convergence 14:03 Building AI Agents 25:49 AI Ethical Considerations 37:23 State Bloat & Fast Execution 49:58 Verifying Outputs 58:16 The Butterfly Effect
1:11:46

NEW EP: Purpose-Built AI Chains with Anish Agnihotri and Saneel Seerni of Ritual The future of blockchain design may rest in building systems meant for agents. In today's pod @Robbie_rollup and sat down with and Saneel of Ritual, to cover: > AI Execution Onchain vs. Traditional Models > Why DeFi needs AI More Than Just Bots > How Consensus & Compute Works in AI-Driven Blockchains > Composability & Coordination of Onchain AI > Where AI & DeFi are Headed Next Full episode links below. Timestamps: 00:00 Intro to Ritual 5:50 AI Crypto Convergence 14:03 Building AI Agents 25:49 AI Ethical Considerations 37:23 State Bloat & Fast Execution 49:58 Verifying Outputs 58:16 The Butterfly Effect

The Rollup

58,968 Aufrufe • vor 1 Jahr

INTERVIEW: Arthur Hayes - The AI Crash That Could Send bitcoin:native to $1M Arthur thinks the AI trade is sucking the oxygen out of crypto, and the real opportunity may come after the AI bubble cracks. Inside the episode: - AI CapEx mania - Why ethereum:native looks cheap - Oil as the macro bear case - “The Fed can’t print Moore’s Law” - How an AI credit event could send money back into crypto - Why Hyperliquid can challenge Binance - Why the inventor of perps says not to use leverage --- TIMESTAMPS 0:00 Why Arthur Sold HYPE, NEAR and ZEC 4:26 The AI Trade Starts to Look Crowded 6:25 How Arthur Is Positioned Now 7:15 Crypto’s Strange Market Dispersion 11:09 Oil, Iran and the Fake-Out Risk 14:16 Why the Iran Deal May Not Be Durable 17:29 Can AI Survive Higher Oil? 21:20 The AI Bubble Thesis 26:11 China’s Cheap AI Threat 30:38 The Credit Event Arthur Is Watching 35:51 The 2028 Perfect Storm 39:45 Why AI Is Draining Crypto’s Bull Market 44:28 Arthur on Inventing Perps 48:11 Why Perps Could Eat Wall Street 51:18 Socialized Loss Explained 53:21 Onshore vs Offshore Perps 55:50 Why Hyperliquid Can Flip Binance 56:30 The Perp Inventor Does Not Use Leverage
58:16

INTERVIEW: Arthur Hayes - The AI Crash That Could Send bitcoin:native to $1M Arthur thinks the AI trade is sucking the oxygen out of crypto, and the real opportunity may come after the AI bubble cracks. Inside the episode: - AI CapEx mania - Why ethereum:native looks cheap - Oil as the macro bear case - “The Fed can’t print Moore’s Law” - How an AI credit event could send money back into crypto - Why Hyperliquid can challenge Binance - Why the inventor of perps says not to use leverage --- TIMESTAMPS 0:00 Why Arthur Sold HYPE, NEAR and ZEC 4:26 The AI Trade Starts to Look Crowded 6:25 How Arthur Is Positioned Now 7:15 Crypto’s Strange Market Dispersion 11:09 Oil, Iran and the Fake-Out Risk 14:16 Why the Iran Deal May Not Be Durable 17:29 Can AI Survive Higher Oil? 21:20 The AI Bubble Thesis 26:11 China’s Cheap AI Threat 30:38 The Credit Event Arthur Is Watching 35:51 The 2028 Perfect Storm 39:45 Why AI Is Draining Crypto’s Bull Market 44:28 Arthur on Inventing Perps 48:11 Why Perps Could Eat Wall Street 51:18 Socialized Loss Explained 53:21 Onshore vs Offshore Perps 55:50 Why Hyperliquid Can Flip Binance 56:30 The Perp Inventor Does Not Use Leverage

Bankless

303,983 Aufrufe • vor 2 Monaten

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

33,694 Aufrufe • vor 4 Monaten

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early
54:06

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early

Y Combinator

198,967 Aufrufe • vor 3 Monaten