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Open source AI just became the biggest policy fight in tech. Our full conversation with Ben Horowitz, where he tells Theo and Sofia why banning open source is nearly impossible, why it's historically the safer path, the risk of one company controlling AI and why distillation isn't the threat...

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MTS

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11,246 次观看 • 2 个月前 •via X (Twitter)

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🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?
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🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?

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93,416 次观看 • 1 个月前

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56,954 次观看 • 2 个月前

I went to Miami to chat with dax, co-founder of OpenCode. We talked about the future of software engineering, coding agents, and why open source matters more now than ever. Timestamps: 0:00 Intro 5:30 Miami vs San Francisco tech scene 15:05 OpenCode origin story, scaling while open-source 25:03 OpenCode vs. Anthropic: owning models, open-source AI 33:36 AI hardware shortages, predicting the future 42:15 The bet of open-weight models, China vs. US 48:34 Why inference is hard, economics of intelligence 55:36 Will developers be automated? Software engineering as a craft 1:11:02 Advice to founders, building in public, marketing I had so much fun making this with Lan. Enjoy!
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Madison Kanna

270,767 次观看 • 2 个月前

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90,574 次观看 • 4 天前

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17,279 次观看 • 27 天前

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24,586 次观看 • 2 个月前

> "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
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> "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 次观看 • 2 个月前

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Sundar Pichai (Sundar Pichai), Google CEO, on: 🔹Race to AGI 🔹Agents 🔹AI & Information Diet 🔹Open Source 🔹Cybersecurity 🔹US vs China Intro AI agents replacing parts of the internet AI agents deciding our information diet Will agents kill the “raw internet”? AI cyberattacks and Google’s defense strategy Should dangerous cyber AI models be held back? The threshold for releasing powerful AI Why Google hasn't open-sourced a large model The broken business model with open-source AI American companies using Chinese AI The risk of building on China’s AI ecosystem Why Google cares so much about cheap, fast AI models Sundar on self-improving AI and the race to AGI Google’s compute situation Google has more AI demand than compute Google’s biggest compute bottleneck

Matthew Berman

307,816 次观看 • 4 个月前

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34:27

Can open source prevent AI power from concentrating? MTS host sophia dew visits the Open Source AI Summit in San Francisco to ask researchers and founders working at different layers of AI. Co-author of Attention Is All You Need, Lukasz Kaiser, argues power concentration is a property of the transformer, not a permanent feature of AI. Former Linux Foundation Global CTO of AI, Matt White unpacks why China leads on open weights and what the US needs to compete. Victor Su-Ortiz shares what open weights unlock for creators building on MiniMax (official)'s H3 video model. Cofounder and CTO of Fireworks, Dmytro Dzhulgakov breaks down how Fireworks AI allows companies to own their intelligence And NVIDIA's Jean Kossaifi argues that nearly every major breakthrough in modern AI already rests on an open foundation. 1:20 Lukasz on why AI power concentrated 4:12 One RTX 5090 > 8-GPU setup his team used for transformer research 8:02 Matt on why US and China have opposite incentives on open source 11:44 Scarcity forces China to innovate, abundance lets the US scale up 15:43 Why Poolside stopped pre-training 20:18 Victor on the H3 community shipped 21:49 Dima on renting intelligence vs training your own 27:01 How training on your own data gets better results from a smaller, cheaper model 30:40 Jean Kossaifi on tracing modern AI back to the Python ecosystem

MTS

103,992 次观看 • 27 天前

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a16z

163,295 次观看 • 5 个月前

Michael Kratsios (Director Michael Kratsios) has seen the AI boom from both sides: as COO of Scale AI and inside the White House. Today, as the director of the White House Office of Science and Technology Policy, he helps shape America’s national strategy on AI, science, and emerging technology. At Startup School 2026, he sat down with YC's Luther Lowe, to talk about how Washington makes technology policy, why the White House supports open source AI, and why little tech needs a seat at the table. 02:38 — From Tech to the White House 04:39 — How Technology Policy Actually Gets Made 05:51 — The White House on Open Source AI 08:28 — How Washington Sees AI Differently 09:53 — Regulating a Technology That Changes Every Six Months 11:37 — Which AI Risks Are Overblown? 13:03 — Giving Little Tech a Seat at the Table 17:31 — Regulation Without Creating Incumbent Moats 18:01 — Born Free vs. Born in Captivity Technologies 20:46 — What Working in the White House Is Actually Like 25:56 — A New Golden Age of American Science 31:32 — Quantum, Congress, IP, and What Comes Next 37:54 — Why Technologists Should Consider Public Service
39:43

Michael Kratsios (Director Michael Kratsios) has seen the AI boom from both sides: as COO of Scale AI and inside the White House. Today, as the director of the White House Office of Science and Technology Policy, he helps shape America’s national strategy on AI, science, and emerging technology. At Startup School 2026, he sat down with YC's Luther Lowe, to talk about how Washington makes technology policy, why the White House supports open source AI, and why little tech needs a seat at the table. 02:38 — From Tech to the White House 04:39 — How Technology Policy Actually Gets Made 05:51 — The White House on Open Source AI 08:28 — How Washington Sees AI Differently 09:53 — Regulating a Technology That Changes Every Six Months 11:37 — Which AI Risks Are Overblown? 13:03 — Giving Little Tech a Seat at the Table 17:31 — Regulation Without Creating Incumbent Moats 18:01 — Born Free vs. Born in Captivity Technologies 20:46 — What Working in the White House Is Actually Like 25:56 — A New Golden Age of American Science 31:32 — Quantum, Congress, IP, and What Comes Next 37:54 — Why Technologists Should Consider Public Service

Y Combinator

56,271 次观看 • 1 个月前

THE ALL-IN SUMMIT IS LIVE! Jensen Huang joins The Besties live on stage! (ft. a legendary phone call from President Donald J. Trump) -- The AI Doomer Hoax -- Superintelligence Has Arrived? -- What RSI Actually Is -- The Future of AI: Open Source, China, The Next Industrial Revolution $NVDA (0:00) Jensen Huang joins The Besties! (1:39) Thoughts on Dario's blog, Frontier Labs calling to slow down AI, and Doomer psychology (9:58) Sensible AI regulation and RSI (16:05) Hugging Face acquisition, future of Open Source, and the race with China (22:58) President Trump calls in live to discuss the Doomer Hoax (31:29) The AI boom and Nvidia's capital allocation strategy (40:21) Nvidia's Open Source model ambitions, thoughts on Elon's Terafab
46:46

THE ALL-IN SUMMIT IS LIVE! Jensen Huang joins The Besties live on stage! (ft. a legendary phone call from President Donald J. Trump) -- The AI Doomer Hoax -- Superintelligence Has Arrived? -- What RSI Actually Is -- The Future of AI: Open Source, China, The Next Industrial Revolution $NVDA (0:00) Jensen Huang joins The Besties! (1:39) Thoughts on Dario's blog, Frontier Labs calling to slow down AI, and Doomer psychology (9:58) Sensible AI regulation and RSI (16:05) Hugging Face acquisition, future of Open Source, and the race with China (22:58) President Trump calls in live to discuss the Doomer Hoax (31:29) The AI boom and Nvidia's capital allocation strategy (40:21) Nvidia's Open Source model ambitions, thoughts on Elon's Terafab

The All-In Podcast

982,624 次观看 • 14 天前

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.
0:26

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 次观看 • 1 个月前

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
1:04:51

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

Raoul Pal

326,827 次观看 • 1 年前

AMD invited us to their biggest launch of the year to check out the behind-the-scenes. At Advancing AI 2026, Anush Elangovan (VP, AI Software at AMD) and Quentin Anthony (VP, AI Engineering at Zyphra) join sophia dew on the floor to break down Helios, ROCm AI, and the Anthropic partnership, live the day it all shipped: 1:05 What actually changed today: AMD goes rack-scale 3:03 ROCm skills land in Claude Code and Codex 3:51 Why Zyphra bet its whole stack on AMD 3:57 Sparse mixture-of-experts and the HBM advantage 6:25 Why an open stack beats a closed one 8:52 The wall of logos: Anthropic, OpenAI, Meta 9:27 Why the frontier labs are committing gigawatts 11:30 Why the next wave will exceed expectations 17:02 Frontier models running on your own laptop + DeepSeek V4 Pro at 8-10 tokens/sec 17:41 How ROCm AI hits 3.3x inference gains 19:38 A kernel rewritten overnight with no humans in the loop 21:40 Do you still need kernel experts? 23:47 Why CPUs are critical for the agentic AI era 25:40 An agent that's been rewriting a driver for four months 28:14 The internet parallel, and the dark-fiber lesson
29:48

AMD invited us to their biggest launch of the year to check out the behind-the-scenes. At Advancing AI 2026, Anush Elangovan (VP, AI Software at AMD) and Quentin Anthony (VP, AI Engineering at Zyphra) join sophia dew on the floor to break down Helios, ROCm AI, and the Anthropic partnership, live the day it all shipped: 1:05 What actually changed today: AMD goes rack-scale 3:03 ROCm skills land in Claude Code and Codex 3:51 Why Zyphra bet its whole stack on AMD 3:57 Sparse mixture-of-experts and the HBM advantage 6:25 Why an open stack beats a closed one 8:52 The wall of logos: Anthropic, OpenAI, Meta 9:27 Why the frontier labs are committing gigawatts 11:30 Why the next wave will exceed expectations 17:02 Frontier models running on your own laptop + DeepSeek V4 Pro at 8-10 tokens/sec 17:41 How ROCm AI hits 3.3x inference gains 19:38 A kernel rewritten overnight with no humans in the loop 21:40 Do you still need kernel experts? 23:47 Why CPUs are critical for the agentic AI era 25:40 An agent that's been rewriting a driver for four months 28:14 The internet parallel, and the dark-fiber lesson

MTS

71,937 次观看 • 2 个月前

Why funding open source is NOT philanthropy with Pavlenex | SLP734 Pavlenex, Bitcoin open source contributor, joins me to discuss why funding builders matters, how open source projects evolve, and what’s new with Stratum V2 & BTCPay Server. Timestamps: (00:00) - Intro (01:09) - Open source is not philanthropy (05:07) - Reaction to MARA Foundation’s initiative (06:40) - Stages of open source projects (11:51) - The necessity of economic incentives (16:42) - AI's impact on open source contributions (19:48) - “Upstream decisions, downstream impact” (24:33) - Open source as a complement to R&D (28:46) - Navigating corporate funding & control (31:14) - Identifying & supporting the right projects (35:56) - Directed grants vs Open grants (39:55) - The importance of supporting open source (42:41) - Updates on Stratum V2 (47:02) - Updates on BTCPay Server (48:47) - What is the Samrock protocol for BTCPay?
52:05

Why funding open source is NOT philanthropy with Pavlenex | SLP734 Pavlenex, Bitcoin open source contributor, joins me to discuss why funding builders matters, how open source projects evolve, and what’s new with Stratum V2 & BTCPay Server. Timestamps: (00:00) - Intro (01:09) - Open source is not philanthropy (05:07) - Reaction to MARA Foundation’s initiative (06:40) - Stages of open source projects (11:51) - The necessity of economic incentives (16:42) - AI's impact on open source contributions (19:48) - “Upstream decisions, downstream impact” (24:33) - Open source as a complement to R&D (28:46) - Navigating corporate funding & control (31:14) - Identifying & supporting the right projects (35:56) - Directed grants vs Open grants (39:55) - The importance of supporting open source (42:41) - Updates on Stratum V2 (47:02) - Updates on BTCPay Server (48:47) - What is the Samrock protocol for BTCPay?

Stephan Livera

11,641 次观看 • 4 个月前