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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?show more

Matt Turck

144,402 subscribers

93,416 views • 1 month ago •via X (Twitter)

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Matt Turck1 month ago

This important and timely conversation with @Thom_Wolf of @huggingface, about AI security and the future of open source AI, is also available on Spotify, Apple Podcasts and here on Youtube

安叫兽|Bird🕊️ 🔶 BNB1 month ago

@huggingface @Thom_Wolf 这集像安全团队的噩梦开场

Matt Turck1 month ago

@huggingface @Thom_Wolf 确实如此

Fazle Rabby1 month ago

@huggingface @Thom_Wolf

RedCloud DePIN1 month ago

Hey Matt @mattturck The End of Cloud Subscription. 🔴☁️ RedCloud is an authentic,UK-Based, consumer-first Web3 DePIN storage aggregation layer & Utility Token ; We had our vision and concept for Secure Lifetime Decentralized Storage🔴☁️ back in 2020 with our Kickstarter, before all the buzzwords and web3 hype. It started as a hardware project, but On-Chain storage have enabled us a natural tactical pivot. You can check all the history and receipts, plus our GitHub links on our profile, This has been a project of passion based on real world sentiment, and with the way things have developed since then, the market for what we offer has only grown. Our v2.1.0-Core DePIN storage architecture is officially open-source. We’ve moved our 2020 hardware heritage straight onto Solana—fully locking down our local AES-256 sharding scripts and programmatic fiat buyback engines. Would value any attention you can get us, I think this business can sustain itself on community input, considering our consumer-facing frontend auto-swaps and auto-burns solana:8f6FXoXtKE4hnNGFzxM7Xh9TrUUVnWqvN4EWANwLpump Core code and architecture specs are linked on our X Page & Landing page, link in bio. 🔴☁️ Thank You.

#AK2=KarriemKhan=#AK2Pak of XTribe SA=Real Wakanda1 month ago

@huggingface @Thom_Wolf @threadreaderapp unroll

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119,268 views • 6 months ago

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

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 views • 4 months ago

NEW EP: Why AGI Will Happen This Decade with Emad Mostaque The AI revolution is here, but *actually* who controls the intelligence we'll all rely on? In today's episode, & Wayne Sim sit down with Emad of Intelligent Internet to cover: > Who Controls AI? > The Ghibli Effect by ChatGPT-4o > Why Most AI Models Are Inefficient > Universal Basic Intelligence > AI Atlantis: Economic Disruption & Rebirth > Credibly Neutral AI Infrastructure Full episode links below. Timestamps: 00:00 Intro 00:56 Mantle Ad 01:37 Ghibli AI Use 04:50 Replacing Humans with AI? 05:21 Artificial Remote Intelligence 10:14 Emad’s Opinion on Better AI Models 12:25 Concentration of Power with AI? 16:34 Training AI Models 20:46 Compute Demand Collapse? 27:00 Abundance of Open Source AI 30:04 Shift Towards Specialized Models 34:05 RedStone Ad 34:18 Frax Ad 34:44 Approaching Biases in AI 45:16 End of Original Thoughts? 50:30 Intelligent Internet & Reinforced Learning 59:07 Coordinating Incentives

NEW EP: Why AGI Will Happen This Decade with Emad Mostaque The AI revolution is here, but actually who controls the intelligence we'll all rely on? In today's episode, & Wayne Sim sit down with Emad of Intelligent Internet to cover: > Who Controls AI? > The Ghibli Effect by ChatGPT-4o > Why Most AI Models Are Inefficient > Universal Basic Intelligence > AI Atlantis: Economic Disruption & Rebirth > Credibly Neutral AI Infrastructure Full episode links below. Timestamps: 00:00 Intro 00:56 Mantle Ad 01:37 Ghibli AI Use 04:50 Replacing Humans with AI? 05:21 Artificial Remote Intelligence 10:14 Emad’s Opinion on Better AI Models 12:25 Concentration of Power with AI? 16:34 Training AI Models 20:46 Compute Demand Collapse? 27:00 Abundance of Open Source AI 30:04 Shift Towards Specialized Models 34:05 RedStone Ad 34:18 Frax Ad 34:44 Approaching Biases in AI 45:16 End of Original Thoughts? 50:30 Intelligent Internet & Reinforced Learning 59:07 Coordinating Incentives

The Rollup

32,804 views • 1 year ago

Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. Ben Fielding and Harry Grieve of gensyn on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. Ben Fielding and Harry Grieve of gensyn on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

a16z crypto

24,301 views • 5 months ago

I sat down with Jordi Visser to discuss: - the recent weakness from hyperscalers - the rise of open source models - what the Mythos/Fable 5 situation means for governments and investors - Kevin Warsh's first Fed press conference - where inflation is actually headed - why bitcoin is still in a bear market YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 0:57 - AI pivot & hyperscaler weakness 5:47 - Open source models & US vs China AI race 7:19 - Token demand, Jevons Paradox & AI adoption trends 14:22 - When does the CapEx spending become a problem? 17:59 - Open source vs closed AI models — who wins long term? 19:25 - Agency & what it means for individuals 24:34 - Is AI & energy the only thing holding the market up? 28:32 - Kevin Warsh's first Fed press conference 31:36 - Inflation outlook & next CPI print 37:44 - Why so many Americans feel trapped & real cost of living 44:51 - Bitcoin bear market & what needs to change

I sat down with Jordi Visser to discuss: - the recent weakness from hyperscalers - the rise of open source models - what the Mythos/Fable 5 situation means for governments and investors - Kevin Warsh's first Fed press conference - where inflation is actually headed - why bitcoin is still in a bear market YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 0:57 - AI pivot & hyperscaler weakness 5:47 - Open source models & US vs China AI race 7:19 - Token demand, Jevons Paradox & AI adoption trends 14:22 - When does the CapEx spending become a problem? 17:59 - Open source vs closed AI models — who wins long term? 19:25 - Agency & what it means for individuals 24:34 - Is AI & energy the only thing holding the market up? 28:32 - Kevin Warsh's first Fed press conference 31:36 - Inflation outlook & next CPI print 37:44 - Why so many Americans feel trapped & real cost of living 44:51 - Bitcoin bear market & what needs to change

Anthony Pompliano 🌪

88,053 views • 3 months ago

My interview with Amazon Web Services CEO Matt Garman. 0:00 Intro 0:57 White Collar Jobs 8:51 How much of AWS's code is written by AI? 12:54 How to have a career in the AI era 15:43 AI Bottlenecks 18:06 Inference vs Training Growth 20:05 AWS Custom Silicon 25:50 Annapurna Acquisition 27:53 AI Models 33:35 Open vs Closed Models 41:28 Benchmarks 47:13 Agents

My interview with Amazon Web Services CEO Matt Garman. 0:00 Intro 0:57 White Collar Jobs 8:51 How much of AWS's code is written by AI? 12:54 How to have a career in the AI era 15:43 AI Bottlenecks 18:06 Inference vs Training Growth 20:05 AWS Custom Silicon 25:50 Annapurna Acquisition 27:53 AI Models 33:35 Open vs Closed Models 41:28 Benchmarks 47:13 Agents

Matthew Berman

49,153 views • 1 year ago