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BREAKING: Merge Launches ‘Agent Handler’ Control AI Access, Tokenmaxxed $$$ Bills, & Stop Mass Data Leaks "We don't trust agents" "The second you connect it to tools, that's where everything goes wrong." OpenAI. Perplexity. Netflix. Uber. Mistral. Dropbox. JPMorgan.. all quietly run on Merge Co-Founders CEO Shensi Ding Ding...

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Molly O’Shea

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111,027 Aufrufe • vor 29 Tagen •via X (Twitter)

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Merge Agent Handler went from zero to enterprise-ready in 6 months. Most of it was vibe coded... But not in the way you might think. Co-founder and CEO Shensi Ding gives us a peak under the hood on what building with AI actually looks like. ↓
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Raoul Pal

326,827 Aufrufe • vor 1 Jahr

Can AI agents automate all work? What happens to white collar jobs? I sat down with Aaron Levie (Aaron Levie), Founder and CEO of to talk about agents, deploying AI, the future of white collar jobs, the future of SaaS, and so much more. 0:00 Intro 1:02 AI at Box 2:59 New tools 5:26 Embracing AI at Box 8:13 Using AI to do more 11:09 White collar collapse? 14:51 How does demand scale? 19:29 Managing AI 25:51 Companies with too much power 29:58 Personal vs Work agents 35:37 What if AI makes a big mistake? 41:23 Who will own the agents? 43:37 SaaS is dead 48:40 Future of the web 57:23 Using AI on socials
59:27

Can AI agents automate all work? What happens to white collar jobs? I sat down with Aaron Levie (Aaron Levie), Founder and CEO of to talk about agents, deploying AI, the future of white collar jobs, the future of SaaS, and so much more. 0:00 Intro 1:02 AI at Box 2:59 New tools 5:26 Embracing AI at Box 8:13 Using AI to do more 11:09 White collar collapse? 14:51 How does demand scale? 19:29 Managing AI 25:51 Companies with too much power 29:58 Personal vs Work agents 35:37 What if AI makes a big mistake? 41:23 Who will own the agents? 43:37 SaaS is dead 48:40 Future of the web 57:23 Using AI on socials

Matthew Berman

91,581 Aufrufe • vor 1 Jahr

NEW POD | EP 66 State of The Crypto Market | AI, Memes, and Majors Timestamps: 0:56 AI Crypto and terminal of truths 6:38 Thoughts on ai16zdao 6:57 Thoughts on zerebro 14:09 The Next Wave of Internet Companies 16:40 AI Agents as DePIN Projects 18:18 AI Agents and Social Apps 20:30 AI Agents and Creator Tokens 22:52 What's Next for AI Crypto? 28:19 AI Enterprise and AI Consumer 31:23 "Do you feel that this cycle is different?" 36:03 Chill Guy and the TikTok Meta 43:02 Onboarding New Users to Crypto 44:12 "I don't know how to play this cycle anymore." 44:35 Brazil's $BTC National Reserve 45:54 Crypto Twitter Vs. TikTok 47:49 CryptoPunks Pumped a Little Bit 48:41 "This is the last Bitcoin cycle." 49:31 Tokenizing Everything 51:48 $DOGE 53:09 Ethereum's Comeback Story 55:12 Corporate Chains 59:54 Bitcoin Supercycle 1:00:23 Saylor's Bitcoin Liquidation Price 1:02:16 Scottie Pippen Says He Met Satoshi 1:03:50 Saylor's Trauma 1:06:44 Contenders for "The Bitcoin of AI Agents" 1:07:41 Individual AI Agents Links ↓
1:09:41

NEW POD | EP 66 State of The Crypto Market | AI, Memes, and Majors Timestamps: 0:56 AI Crypto and terminal of truths 6:38 Thoughts on ai16zdao 6:57 Thoughts on zerebro 14:09 The Next Wave of Internet Companies 16:40 AI Agents as DePIN Projects 18:18 AI Agents and Social Apps 20:30 AI Agents and Creator Tokens 22:52 What's Next for AI Crypto? 28:19 AI Enterprise and AI Consumer 31:23 "Do you feel that this cycle is different?" 36:03 Chill Guy and the TikTok Meta 43:02 Onboarding New Users to Crypto 44:12 "I don't know how to play this cycle anymore." 44:35 Brazil's $BTC National Reserve 45:54 Crypto Twitter Vs. TikTok 47:49 CryptoPunks Pumped a Little Bit 48:41 "This is the last Bitcoin cycle." 49:31 Tokenizing Everything 51:48 $DOGE 53:09 Ethereum's Comeback Story 55:12 Corporate Chains 59:54 Bitcoin Supercycle 1:00:23 Saylor's Bitcoin Liquidation Price 1:02:16 Scottie Pippen Says He Met Satoshi 1:03:50 Saylor's Trauma 1:06:44 Contenders for "The Bitcoin of AI Agents" 1:07:41 Individual AI Agents Links ↓

Good Game

41,972 Aufrufe • vor 1 Jahr

The 2026 Jensen Huang No Priors interview: 00:17 2025 surprises 04:12 AI is job creation 12:31 Robotics for labor shortages 15:14 Open source, layer cake of making money in AI 21:52 The myth of "God AI" 23:54 Doomers and regulation 29:25 Jensen teaches Tokenomics 35:09 The return to research 37:49 Future of engineering 43:20 Next ChatGPT moment 46:00 Self driving 54:06 We need energy 58:49 US-China relations in '26 1:04:43 Is there an AI bubble?
1:16:20

The 2026 Jensen Huang No Priors interview: 00:17 2025 surprises 04:12 AI is job creation 12:31 Robotics for labor shortages 15:14 Open source, layer cake of making money in AI 21:52 The myth of "God AI" 23:54 Doomers and regulation 29:25 Jensen teaches Tokenomics 35:09 The return to research 37:49 Future of engineering 43:20 Next ChatGPT moment 46:00 Self driving 54:06 We need energy 58:49 US-China relations in '26 1:04:43 Is there an AI bubble?

No Priors

40,265 Aufrufe • vor 5 Monaten

Ex-DeepMind researcher Misha Laskin on building superintelligence, coding as a shortcut, reinforcement learning, launching Reflection AI's first product, Asimov, and competing with the big AI labs 00:00 - Intro 01:42 - Reflection AI: Company Origins and Mission 04:14 - Making Superintelligence Concrete 06:04 - ASI vs. AGI: Why the Goalposts Moved 07:55 - Organizational Superintelligence as an Oracle 12:05 - Coding as Shortcut: Hands, Legs & Brain for AI 20:55 - Capturing Tribal Knowledge in Organizations 26:31 - Introducing Asimov: Deep Research for Code 28:44 - Team-Wide Memory 33:07 - Multi-Agent Design 34:48 - Data Retrieval and Integration in Asimov 39:41 - Reinforcement Learning in Asimov 41:04 - Misha's Journey: From Physics to AI 42:06 - Growing Up in a Science-Driven Desert Town 53:03 - Building General Agents at DeepMind 56:57 - Founding Reflection AI After DeepMind 58:54 - Product vs tech in AI 1:02:22 - The State of Autonomous Coding Agents 1:04:26 - What's Next for Reflection AI
1:06:29

Ex-DeepMind researcher Misha Laskin on building superintelligence, coding as a shortcut, reinforcement learning, launching Reflection AI's first product, Asimov, and competing with the big AI labs 00:00 - Intro 01:42 - Reflection AI: Company Origins and Mission 04:14 - Making Superintelligence Concrete 06:04 - ASI vs. AGI: Why the Goalposts Moved 07:55 - Organizational Superintelligence as an Oracle 12:05 - Coding as Shortcut: Hands, Legs & Brain for AI 20:55 - Capturing Tribal Knowledge in Organizations 26:31 - Introducing Asimov: Deep Research for Code 28:44 - Team-Wide Memory 33:07 - Multi-Agent Design 34:48 - Data Retrieval and Integration in Asimov 39:41 - Reinforcement Learning in Asimov 41:04 - Misha's Journey: From Physics to AI 42:06 - Growing Up in a Science-Driven Desert Town 53:03 - Building General Agents at DeepMind 56:57 - Founding Reflection AI After DeepMind 58:54 - Product vs tech in AI 1:02:22 - The State of Autonomous Coding Agents 1:04:26 - What's Next for Reflection AI

Matt Turck

11,971 Aufrufe • vor 11 Monaten

We asked a dozen DevTool founders from companies like RevenueCat, Greptile, Firecrawl, Infisical, ollama, Resend, Mintlify, Unsloth AI, Porter, and recall.ai, about the state of AI agents and the future of software engineering. In this episode of Founder FAQ, we covered everything from agents as customers and the end of coding, to advice for founders starting out and what they're most excited about going forward. Their answers might surprise you. 00:00 – Meet the Founders 03:00 – Building for Agents First 04:22 – Biggest Early Mistakes 07:15 – Do Founders Still Write Code? 09:22 – Most Unexpected AI Discoveries 12:09 – What's Underrated Right Now 14:38 – Predictions & What's Next
20:29

We asked a dozen DevTool founders from companies like RevenueCat, Greptile, Firecrawl, Infisical, ollama, Resend, Mintlify, Unsloth AI, Porter, and recall.ai, about the state of AI agents and the future of software engineering. In this episode of Founder FAQ, we covered everything from agents as customers and the end of coding, to advice for founders starting out and what they're most excited about going forward. Their answers might surprise you. 00:00 – Meet the Founders 03:00 – Building for Agents First 04:22 – Biggest Early Mistakes 07:15 – Do Founders Still Write Code? 09:22 – Most Unexpected AI Discoveries 12:09 – What's Underrated Right Now 14:38 – Predictions & What's Next

Y Combinator

27,413 Aufrufe • vor 1 Monat

The end of coding? *Epic* conversation with Guillermo Rauch of Vercel on vibe coding, MCP, agents and building products in the AI era. (00:00) - Intro: Guillermo's Story (02:08) - What is v0 and Why Did It Take Off So Fast? (04:10) - Building a hit product with < people (07:51) - Cursor, Replit, etc: v0 vs Other AI Coding Tools (10:35) - Everyone can cook - What is Vibe Coding? (17:05) - Is v0 Just Frontend? Moving Toward Full Stack 19:40 - How to Become a Great Vibe Coder (23:35) - A GUI for AI: The Future of Interfaces (29:46) - Developer Love vs Agent Love (33:41) - The Importance of Taste in the AI Era (39:10) - MCP: The Protocol for AI-to-AI Communication (43:11) - Security and the Risks of Agentic Web (45:25) - Are Enterprises Ready for the Agentic Future? (49:42) - Building a Data Flywheel (56:06) - The Vercel AI Cloud: From Pixels to Tokens (1:10:14) - Adapting to a Non-Developer Persona (1:13:47) - Retention, Margins, and the Business of AI (1:16:51) - The Secret Behind Vercel Last Year Growth (1:24:15) - The importance of Online Presence (1:30:49) - Everything, Everywhere, All at Once: Keeping your Sanity as a CEO (1:34:59) - Guillermo's Advice to Younger Self
1:45:40

The end of coding? *Epic* conversation with Guillermo Rauch of Vercel on vibe coding, MCP, agents and building products in the AI era. (00:00) - Intro: Guillermo's Story (02:08) - What is v0 and Why Did It Take Off So Fast? (04:10) - Building a hit product with < people (07:51) - Cursor, Replit, etc: v0 vs Other AI Coding Tools (10:35) - Everyone can cook - What is Vibe Coding? (17:05) - Is v0 Just Frontend? Moving Toward Full Stack 19:40 - How to Become a Great Vibe Coder (23:35) - A GUI for AI: The Future of Interfaces (29:46) - Developer Love vs Agent Love (33:41) - The Importance of Taste in the AI Era (39:10) - MCP: The Protocol for AI-to-AI Communication (43:11) - Security and the Risks of Agentic Web (45:25) - Are Enterprises Ready for the Agentic Future? (49:42) - Building a Data Flywheel (56:06) - The Vercel AI Cloud: From Pixels to Tokens (1:10:14) - Adapting to a Non-Developer Persona (1:13:47) - Retention, Margins, and the Business of AI (1:16:51) - The Secret Behind Vercel Last Year Growth (1:24:15) - The importance of Online Presence (1:30:49) - Everything, Everywhere, All at Once: Keeping your Sanity as a CEO (1:34:59) - Guillermo's Advice to Younger Self

Matt Turck

86,153 Aufrufe • vor 1 Jahr

Sonnet 4.5 & the AI Plateau Myth — epic conversation with Sholto Douglas of Anthropic 0:00 - Intro 1:09 - What's Behind The Rapid Pace of AI Releases at Anthropic 2:49 - Opus, Sonnet, and Haiku Model Tiers 4:14 - Sholto's Story: From Australian Fencer to AI Researcher 12:01 - The YouTube Effect: Mastery Through Observation 16:16 - Breaking Into AI Research Without Traditional Academic Signals 18:29 - DeepMind, Gemini, and Building Inference Stacks 23:05 - Why Anthropic? Culture and Mission Differences Amongst AI Research Labs 25:08 - What Is "Taste" in AI Research? 31:46 - This Week's Big Launch: Sonnet 4.5, Best Coding Model in the World 36:40 - From 7 Hours to 30 Hours: The Long-Running AI Agent Breakthrough 38:41 - How AI Agents Self-Correct and Maintain Coherence 43:13 - The Role of Memory in Extended Coding Sessions 47:42 - Pre-Training vs. RL: Textbooks vs. Worked Problems 52:11 - Test-Time Compute & Reinforcement Learning 55:55 - Why RL Finally Started Working on LLMs in 2024 59:38 - The Path to AGI 1:02:05 - Are We Hitting a Plateau in AI? So Many Low Hanging Fruits 1:03:41 - Beyond Coding: GDPVal & Impact Economic Sectors 1:05:47 - Preparing for 10-100x Individual Leverage & The Upcoming Robotics Explosion
1:10:03

Sonnet 4.5 & the AI Plateau Myth — epic conversation with Sholto Douglas of Anthropic 0:00 - Intro 1:09 - What's Behind The Rapid Pace of AI Releases at Anthropic 2:49 - Opus, Sonnet, and Haiku Model Tiers 4:14 - Sholto's Story: From Australian Fencer to AI Researcher 12:01 - The YouTube Effect: Mastery Through Observation 16:16 - Breaking Into AI Research Without Traditional Academic Signals 18:29 - DeepMind, Gemini, and Building Inference Stacks 23:05 - Why Anthropic? Culture and Mission Differences Amongst AI Research Labs 25:08 - What Is "Taste" in AI Research? 31:46 - This Week's Big Launch: Sonnet 4.5, Best Coding Model in the World 36:40 - From 7 Hours to 30 Hours: The Long-Running AI Agent Breakthrough 38:41 - How AI Agents Self-Correct and Maintain Coherence 43:13 - The Role of Memory in Extended Coding Sessions 47:42 - Pre-Training vs. RL: Textbooks vs. Worked Problems 52:11 - Test-Time Compute & Reinforcement Learning 55:55 - Why RL Finally Started Working on LLMs in 2024 59:38 - The Path to AGI 1:02:05 - Are We Hitting a Plateau in AI? So Many Low Hanging Fruits 1:03:41 - Beyond Coding: GDPVal & Impact Economic Sectors 1:05:47 - Preparing for 10-100x Individual Leverage & The Upcoming Robotics Explosion

Matt Turck

93,678 Aufrufe • vor 9 Monaten