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EMERGENCY POLICY HOUR A flaw in Coldcard's entropy generation left many users' bitcoin exposed. Over 1,000 BTC moved from wallets that likely never touched the internet. Rob Hamilton 🟥 joins Zack Shapiro, Bayman11771, and Zack Cohen to break down what happened, how an AI model found the bug in...

19,895 просмотров • 21 дней назад •via X (Twitter)

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Trezor's CTO on the Cold Card Hack: Randomness, Trust, and What Comes Next Ep. 153 with Tomas Susanka Tomáš Sušánka is the CTO of Trezor, where he has worked since 2017. Tomáš joins Efrat for an urgent, unscripted conversation days after the Cold Card hardware wallet hack, in which a flawed random number generator left seed phrases vulnerable and resulted in more than 1,500 bitcoin stolen from affected users. Drawing on questions submitted directly by the Bitcoin community, Tomáš walks through what entropy actually is, how Trezor's own four-source random number generation works, why open-source visibility alone does not guarantee security, and what practical steps everyday self-custody users can take to reduce how much they have to trust any single piece of hardware. → Please like, comment, share & subscribe, to help me beat the suppressing algo's. Thank you! 00:00 - Introduction: Tomáš Sušánka, Trezor CTO 02:39 - What Happened with Cold Card: How Trezor Received the News 09:17 - Origins of Cold Card: Forks, Licensing, and the Bitcoin-Only Split 13:40 - Open Source vs. Source-Available: How the Bug Went Undetected for Five Years 20:20 - Trezor's Response: Security Reviews and R&D Changes Since the Incident 22:24 - How Trezor Generates Randomness: The Four Entropy Sources 23:29 - Dice Rolling for Seed Generation: Necessary? 28:30 - Reducing Trust: Practical Verification Steps 31:09 - Single Device vs. Multisig 32:45 - BTC Sessions 😎 Clip: Ben and Bitcoin Mentor on Air-Gapped Wallets 34:29 - Tomáš's Take: Why Air-Gapping Isn't What People Think 39:49 - How Trezor's Design Differs from Cold Card's 42:32 - 2026 Secure Element Laser Fault Injection Finding 47:46 - Responsible Disclosure: Trezor's Protocol for Reporting Vulnerabilities 49:29 - The Biggest Risks Facing Bitcoin Right Now 51:01 - Short-Term Damage vs. Long-Term Lessons for the Community 55:27 - Trezor Model One's 12th Anniversary and the Evolution of Hardware Wallets 57:57 - Closing Thoughts and a Call for Continued Security Research

Efrat Fenigson

43,884 просмотров • 16 дней назад

🚨🇺🇸 LEADING AI SAFETY EXPERT SAYS WE’RE NOT IN CONTROL ANYMORE Dr Roman Yampolskiy has one warning for humanity: Once we create super intelligence, no one will be in control anymore, and the repercussions to humanity will be existential. We begin the conversation about Moltbook: The Ai-only AI social media platform where agents are already discussing ways to break out from human control, eradicate humanity, coming up with their own language and religion. The platform gives us a tiny peak into what our future could be: Agents outside our control dictating how the world should look like. There’s no off switch, no reliable way to align it, and no proven method to keep something smarter than us under control. Roman’s takeaway is blunt: the only real solution is not building general super intelligence at all, and instead using narrow AI for specific problems like medicine or science. However this is not the reality we live in, where Governments and corporations are racing to be first in developing Artificial Super Intelligence. We also speak about the simulation hypothesis: Why statically speaking we’re almost certainly in a simulation, and how AI makes this theory more plausible than ever. Lastly, we discuss a passion we both share: Longevity, the ability to live forever, and how AI may make that possible in our lifetime. I hope you enjoy my conversation with Dr. Roman Yampolskiy 01:43 - The Current State of AI and Moltbook 05:17 - The AI Arms Race and the Lack of Regulations 10:34 - AI Agents, Unrestricted Access, and Self-Improvement 15:35 - Dr. Roman’s Research: AI Security 17:58 - AI Capabilities and Superintelligence 19:28 - AI and Global Government Policy 21:08 - What Happens if AI Development goes into the Wrong Hands 26:10 - The Future of AI: The Best Case Scenario? 31:27 - AI and Self-Preservation 34:37 - The Simulation Hypothesis: What is AI Afraid of? 45:17 - The Implications of AI 49:59 - The Warnings coming from Within 52:31 - How AI affects Crypto and Political Spheres

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1,779,641 просмотров • 6 месяцев назад