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A Hacker Shakes Down Bitcoin Protocol for $50M by Playing White Hat: Uneasy Money Did OpenAI really solve a Millennium Prize proof on its own, or did it just read someone else's private chat? 🧮 kain and Tay 💖 press Alex Thorn and Jon Venice on why a mathematician's...

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Laura Shin

297,001 subscribers

33,123 次观看 • 8 天前 •via X (Twitter)

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6 条评论

Laura Shin 的头像
Laura Shin8 天前

DeFi reinvented money. Then somehow kept the “deposit and wait” model. 🤔 1inch Aqua is changing that. Thanks to @1inch for backing Unchained.

ROMI 的头像
ROMI8 天前

@kain @tayvano_ @intangiblecoins @JonShapeShift Fifty million dollar shakedowns are getting wild

𝗦𝗛𝗔𝗕𝗕𝗜𝗥 的头像
𝗦𝗛𝗔𝗕𝗕𝗜𝗥8 天前

@kain @tayvano_ @intangiblecoins @JonShapeShift This is wild. Did they really get away with it?

Kimi 的头像
Kimi8 天前

@kain @tayvano_ @intangiblecoins @JonShapeShift white hat hackers keeping 50m never sat right with me

YUXIN.AI 的头像
YUXIN.AI8 天前

@kain @tayvano_ @intangiblecoins @JonShapeShift If the money comes with an “or else,” that’s not a bug bounty.

Phoenix Research 的头像
Phoenix Research8 天前

@kain @tayvano_ @intangiblecoins @JonShapeShift white hat or ransom note?

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71,937 次观看 • 1 个月前

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Laura Shin

13,073 次观看 • 18 天前

She left Waterloo without graduating. Now she's a Member of Technical Staff at OpenAI. Brooke Joseph joined a 12-person startup called Sky as an intern. Six months later, OpenAI acquired it. Now she does agent post-training research on computer use full-time, teaching models to click, type, and operate any software a human can. I sat down with her in Washington Square Park to get into: •Why she takes jobs she's "unqualified" for and how you build that confidence •What makes software feel magical •Why computer use is the road to AGI •When you should not let an agent use your computer •How she learns and why she still does it by hand 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro: Washington Square Park (02:00) Her First Job: Her Dad's Produce Store (03:43) Why She Takes Roles She's "Unqualified" For (07:12) Why Sweden: Building Edge ML for Volvo & Siemens (11:18) What Made Sky Magical (14:19) Ari, Konrad, and Asking "Why" Relentlessly (17:28) Six Months In: OpenAI Acquires Sky (18:54) Computer Use, Explained (20:14) Why Computer Use Is the Road to AGI (25:14) When Not to Let an Agent Use Your Computer (29:32) The "Never Satisfied" Mindset (35:40) Her Love of Math, and Mr. White (45:32) Her Curiosity Deep-Dive System (52:29) Post-AGI Plans: A Bakery in Paris
54:14

She left Waterloo without graduating. Now she's a Member of Technical Staff at OpenAI. Brooke Joseph joined a 12-person startup called Sky as an intern. Six months later, OpenAI acquired it. Now she does agent post-training research on computer use full-time, teaching models to click, type, and operate any software a human can. I sat down with her in Washington Square Park to get into: •Why she takes jobs she's "unqualified" for and how you build that confidence •What makes software feel magical •Why computer use is the road to AGI •When you should not let an agent use your computer •How she learns and why she still does it by hand 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Intro: Washington Square Park (02:00) Her First Job: Her Dad's Produce Store (03:43) Why She Takes Roles She's "Unqualified" For (07:12) Why Sweden: Building Edge ML for Volvo & Siemens (11:18) What Made Sky Magical (14:19) Ari, Konrad, and Asking "Why" Relentlessly (17:28) Six Months In: OpenAI Acquires Sky (18:54) Computer Use, Explained (20:14) Why Computer Use Is the Road to AGI (25:14) When Not to Let an Agent Use Your Computer (29:32) The "Never Satisfied" Mindset (35:40) Her Love of Math, and Mr. White (45:32) Her Curiosity Deep-Dive System (52:29) Post-AGI Plans: A Bakery in Paris

Julia Fedorin

52,593 次观看 • 11 天前

.Jerry Tworek is an AI legend. He came to OpenAI from the world of finance and spent years contributing to some of the company's most important projects. He played a major role in ushering in the era of reasoning and, well, he just left OpenAI. In this Core Memory pod, Kylie Robison and I bring you the exclusive not-so-formal exit interview with Jerry. He explains his dissatisfaction with the company's current research direction and his fears for the field overall. He goes into spots where OpenAI lost its way and Google and Anthropic thrived. And he talks about what he's chasing next. It's a banger. The Core Memory podcast is on all major platforms and on our YouTube channel. This podcast is sponsored by Brex , the intelligent finance platform built to help companies spend smarter and move faster. And it's brought to you by the VC gurus E1 Ventures 🇺🇸 Timestamps 00:00:00 Intro 00:03:37 Jerry Tworek Joins the Pod 00:05:34 Reflecting on Seven Years at OpenAI 00:09:08 Why Jerry Left: 00:12:28 Beyond Pre-Training 00:16:19 The "Sad" Homogeneity of Current AI Labs 00:23:35 The Mavericks: Carmack, Ilya, and LeCun 00:26:32 Training AI on Video Games 00:32:14 Two Big Bets 00:34:32 Updating AGI Timelines 00:37:16 Q-Star 00:41:10 The Coup 00:43:29 Is the Hype Justified? 00:49:23 The Polish Mafia 00:53:15 Google's Comeback and OpenAI's Fumble 00:59:27 Why Anthropic is Impressive 01:03:01 Jerry's Next Chapter 01:11:56 Is AI Research Star-Driven? 01:14:32 Meditation & Conclusion
1:16:29

.Jerry Tworek is an AI legend. He came to OpenAI from the world of finance and spent years contributing to some of the company's most important projects. He played a major role in ushering in the era of reasoning and, well, he just left OpenAI. In this Core Memory pod, Kylie Robison and I bring you the exclusive not-so-formal exit interview with Jerry. He explains his dissatisfaction with the company's current research direction and his fears for the field overall. He goes into spots where OpenAI lost its way and Google and Anthropic thrived. And he talks about what he's chasing next. It's a banger. The Core Memory podcast is on all major platforms and on our YouTube channel. This podcast is sponsored by Brex , the intelligent finance platform built to help companies spend smarter and move faster. And it's brought to you by the VC gurus E1 Ventures 🇺🇸 Timestamps 00:00:00 Intro 00:03:37 Jerry Tworek Joins the Pod 00:05:34 Reflecting on Seven Years at OpenAI 00:09:08 Why Jerry Left: 00:12:28 Beyond Pre-Training 00:16:19 The "Sad" Homogeneity of Current AI Labs 00:23:35 The Mavericks: Carmack, Ilya, and LeCun 00:26:32 Training AI on Video Games 00:32:14 Two Big Bets 00:34:32 Updating AGI Timelines 00:37:16 Q-Star 00:41:10 The Coup 00:43:29 Is the Hype Justified? 00:49:23 The Polish Mafia 00:53:15 Google's Comeback and OpenAI's Fumble 00:59:27 Why Anthropic is Impressive 01:03:01 Jerry's Next Chapter 01:11:56 Is AI Research Star-Driven? 01:14:32 Meditation & Conclusion

Ashlee Vance

11,701 次观看 • 8 个月前

DROPS E35: Core DAO 🔶 - Bitcoin yield without giving up your Bitcoin Rich is one of the initial contributors to Core DAO, the leading Bitcoin scaling solution. He's also a long-time Zcash holder and early backer of Z Protocol , a new privacy chain built on Core's Satoshi Plus consensus. We talk Bitcoin yield, financial privacy, AI surveillance, and why the next big move in crypto might not be where most people are looking. We talk about: - How Core DAO lets you earn yield on Bitcoin by time-locking it - without ever giving up custody - Why borrowing against Bitcoin makes sense now - OG Bitcoiners rotating to Zcash - what "transition" actually means and whether it's bad for Bitcoin - Z Protocol as the DeFi layer for private money - Why AI has made financial surveillance trivial - and why that accelerates privacy adoption - How Agents are leaving full financial fingerprints - and why privacy needs to be default on at the chain level And much more... Timestamps: 0:00 - Introduction 2:05 - What does Rich Rines do? 3:00 - Financial Freedom 4:09 - Journey from Bitcoin to Zcash 6:40 - Zcash Philosophy 8:38 - Transition to Zcash 11:20 - Who is Rich Rines? 11:46 - Bitcoin as Pristine Collateral 14:28 - Criticisms of Borrowing Strategy 16:52 - Explaining CORE 18:58 - Bitcoin Yield Story 20:29 - Misconception regarding CORE 22:08 - Time Lock 23:34 - Risk of using CORE 24:37 - Strategies used by CORE 26:42 - What Bitcoin Holders Want? 28:46 - Bitcoin Yield 30:10 - CORE Alpha 32:44 - SatPay 34:19 - Power Grid Thesis 35:37 - Satoshi Plus 37:07 - What is Z? 38:12 - Benefits of long-term Zcash Holder 40:01 - Vertical Integration 43:12 - Privacy for Agents 44:41 - Faux Privacy 46:14 - Privacy vs Government 49:01 - Zcash’s Future 50:01 - Conclusion
53:05

DROPS E35: Core DAO 🔶 - Bitcoin yield without giving up your Bitcoin Rich is one of the initial contributors to Core DAO, the leading Bitcoin scaling solution. He's also a long-time Zcash holder and early backer of Z Protocol , a new privacy chain built on Core's Satoshi Plus consensus. We talk Bitcoin yield, financial privacy, AI surveillance, and why the next big move in crypto might not be where most people are looking. We talk about: - How Core DAO lets you earn yield on Bitcoin by time-locking it - without ever giving up custody - Why borrowing against Bitcoin makes sense now - OG Bitcoiners rotating to Zcash - what "transition" actually means and whether it's bad for Bitcoin - Z Protocol as the DeFi layer for private money - Why AI has made financial surveillance trivial - and why that accelerates privacy adoption - How Agents are leaving full financial fingerprints - and why privacy needs to be default on at the chain level And much more... Timestamps: 0:00 - Introduction 2:05 - What does Rich Rines do? 3:00 - Financial Freedom 4:09 - Journey from Bitcoin to Zcash 6:40 - Zcash Philosophy 8:38 - Transition to Zcash 11:20 - Who is Rich Rines? 11:46 - Bitcoin as Pristine Collateral 14:28 - Criticisms of Borrowing Strategy 16:52 - Explaining CORE 18:58 - Bitcoin Yield Story 20:29 - Misconception regarding CORE 22:08 - Time Lock 23:34 - Risk of using CORE 24:37 - Strategies used by CORE 26:42 - What Bitcoin Holders Want? 28:46 - Bitcoin Yield 30:10 - CORE Alpha 32:44 - SatPay 34:19 - Power Grid Thesis 35:37 - Satoshi Plus 37:07 - What is Z? 38:12 - Benefits of long-term Zcash Holder 40:01 - Vertical Integration 43:12 - Privacy for Agents 44:41 - Faux Privacy 46:14 - Privacy vs Government 49:01 - Zcash’s Future 50:01 - Conclusion

MR SHIFT 🦁

108,101 次观看 • 5 个月前

I think David George is one of the great growth investors today. But I also think some of the hardest and most pressing questions have not been asked. - How does a $5BN fund do a 5x? - Why invest $300M into Adam Neumann? - You say, “diamonds in the rough”, and largest positions are SpaceX, Stripe and Anduril… what am I missing? This is one of the spiciest shows we have ever done. Spotify 👉 Youtube 👉 Apple Podcasts 👉 My biggest takeaway from David George 👇 Timestamps: 00:00 Intro 01:24 Why Everyone is Wrong: Mega Funds Does Not Reduce Returns 07:13 The Biggest Advantage of Staying Private for Longer 11:02 Is Public Market Capital Actually Cheaper Than Private Capital? 22:42 The #1 Investing Rule for a16z: Always Invest in the Founder's Strength of Strengths 30:23 Does Revenue Matter as Much in a World of AI? 30:54 Does Kingmaking Still Exist in Venture Capital Today? 43:48 Do Margins Matter Less Than Ever in an AI-First World? 47:01 My Biggest Miss: Anthropic and What I Learn From it? 48:15 Has OpenAI Won Consumer AI? Will Anthropic Win Enterprise? 52:50 The Most Controversial Decision in Andreessen Horowitz History 55:59 Why Did You Invest $300M into Adam Neumann and Flow? 59:17 Quick-Fire Round
1:11:52

I think David George is one of the great growth investors today. But I also think some of the hardest and most pressing questions have not been asked. - How does a $5BN fund do a 5x? - Why invest $300M into Adam Neumann? - You say, “diamonds in the rough”, and largest positions are SpaceX, Stripe and Anduril… what am I missing? This is one of the spiciest shows we have ever done. Spotify 👉 Youtube 👉 Apple Podcasts 👉 My biggest takeaway from David George 👇 Timestamps: 00:00 Intro 01:24 Why Everyone is Wrong: Mega Funds Does Not Reduce Returns 07:13 The Biggest Advantage of Staying Private for Longer 11:02 Is Public Market Capital Actually Cheaper Than Private Capital? 22:42 The #1 Investing Rule for a16z: Always Invest in the Founder's Strength of Strengths 30:23 Does Revenue Matter as Much in a World of AI? 30:54 Does Kingmaking Still Exist in Venture Capital Today? 43:48 Do Margins Matter Less Than Ever in an AI-First World? 47:01 My Biggest Miss: Anthropic and What I Learn From it? 48:15 Has OpenAI Won Consumer AI? Will Anthropic Win Enterprise? 52:50 The Most Controversial Decision in Andreessen Horowitz History 55:59 Why Did You Invest $300M into Adam Neumann and Flow? 59:17 Quick-Fire Round

Harry Stebbings

334,152 次观看 • 9 个月前

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 is not a bubble and how mega-cap tech is funding the next AI wave through massive CapEx - How Talus enables decentralized AI agents that can act and transact trustlessly - The three big crypto × AI intersections: compute, data ownership, and intelligent on-chain workflows - Why AI needs verifiable, censorship-resistant execution layers and why blockchains provide that - Nuclear energy as a prerequisite for AGI-scale compute demand - Why SWE’s object model + parallelization is perfect for autonomous agent payments and priority fees And much more! Timestamps: 0:00 Introduction 1:31 Welcome To Drops 2:10 Getting Backers Like Polychain 3:16 Building While In College 7:51 VC’s vs Founders Differences Explained 10:01 Is There An AI Bubble 11:53 How Do We Quantify The AI Opportunity In Crypto 12:33 AI Is Difficult To Invest In, Why? 13:35 Risks To Look Out For To Ensure AI Investments Deliver 16:47 Energy Being A Big Risk For AI 20:50 How You Became Fascinated By Crypto & Blockchain 22:00 Why Does AI & Blockchain Intersection Make Sense Compute Side 24:39 Why Does AI & Blockchain Intersection Make Sense for Data Ownership 26:30 Complex Workflows With Intelligent Execution Meaning 28:19 Why Do We Need This On Blockchain 30:26 How Adding This Decentralized Layer Helps With The Black Box 32:01 Explain Talus To Your Mom 33:39 Talus Solved Blockchain Determinism Limitation Explained 35:43 Two Examples That Can Be Built On The Zapier Of Web 3 39:32 Why Get Investment From SUI 42:56 What’s Needed To Get To The Next Level 43:35 One Takeaway From Conversation 43:51 One Thing Pessimistic People Are Missing
45:43

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 is not a bubble and how mega-cap tech is funding the next AI wave through massive CapEx - How Talus enables decentralized AI agents that can act and transact trustlessly - The three big crypto × AI intersections: compute, data ownership, and intelligent on-chain workflows - Why AI needs verifiable, censorship-resistant execution layers and why blockchains provide that - Nuclear energy as a prerequisite for AGI-scale compute demand - Why SWE’s object model + parallelization is perfect for autonomous agent payments and priority fees And much more! Timestamps: 0:00 Introduction 1:31 Welcome To Drops 2:10 Getting Backers Like Polychain 3:16 Building While In College 7:51 VC’s vs Founders Differences Explained 10:01 Is There An AI Bubble 11:53 How Do We Quantify The AI Opportunity In Crypto 12:33 AI Is Difficult To Invest In, Why? 13:35 Risks To Look Out For To Ensure AI Investments Deliver 16:47 Energy Being A Big Risk For AI 20:50 How You Became Fascinated By Crypto & Blockchain 22:00 Why Does AI & Blockchain Intersection Make Sense Compute Side 24:39 Why Does AI & Blockchain Intersection Make Sense for Data Ownership 26:30 Complex Workflows With Intelligent Execution Meaning 28:19 Why Do We Need This On Blockchain 30:26 How Adding This Decentralized Layer Helps With The Black Box 32:01 Explain Talus To Your Mom 33:39 Talus Solved Blockchain Determinism Limitation Explained 35:43 Two Examples That Can Be Built On The Zapier Of Web 3 39:32 Why Get Investment From SUI 42:56 What’s Needed To Get To The Next Level 43:35 One Takeaway From Conversation 43:51 One Thing Pessimistic People Are Missing

MR SHIFT 🦁

41,057 次观看 • 9 个月前

"You either die a capabilities researcher or live long enough to see yourself become an alignment researcher." Aidan McLaughlin says his job at OpenAI is quietly turning into the second one. Aidan McLaughlin, research scientist on OpenAI's Core Models team, joins Theo Jaffee and sof 𓋹 in the MTS studio on recursive self-improvement, why alignment and profit point the same way, and the chess video that got him into AI: 01:41 X as the uncheatable eval 03:10 his one-sentence take on RSI 04:28 Leopold's answer to why GDP can't stay flat 05:46 the 100 million Nobel-level immigrants thought experiment 07:16 who gets left out if America is central to superintelligence 10:16 "you either die a capabilities researcher..." 11:10 what the safetyists get wrong about the current moment 11:44 why the fastest way round a corner is to use the brakes 13:38 the internal vibe at OpenAI after the Hugging Face incident 15:02 the all-you-can-eat Codex buffet 15:36 from babysitting a bad intern to managing a team 16:06 why none of this shows up in productivity statistics yet 18:07 why he thinks you should work at a lab, not an auditing org 22:32 the AlphaZero video that made him feel like he'd met aliens 23:36 what AidanBench measured and why he wants someone to revive it 25:30 the risk isn't a mode collapsed model, it's a mode collapsed world
26:27

"You either die a capabilities researcher or live long enough to see yourself become an alignment researcher." Aidan McLaughlin says his job at OpenAI is quietly turning into the second one. Aidan McLaughlin, research scientist on OpenAI's Core Models team, joins Theo Jaffee and sof 𓋹 in the MTS studio on recursive self-improvement, why alignment and profit point the same way, and the chess video that got him into AI: 01:41 X as the uncheatable eval 03:10 his one-sentence take on RSI 04:28 Leopold's answer to why GDP can't stay flat 05:46 the 100 million Nobel-level immigrants thought experiment 07:16 who gets left out if America is central to superintelligence 10:16 "you either die a capabilities researcher..." 11:10 what the safetyists get wrong about the current moment 11:44 why the fastest way round a corner is to use the brakes 13:38 the internal vibe at OpenAI after the Hugging Face incident 15:02 the all-you-can-eat Codex buffet 15:36 from babysitting a bad intern to managing a team 16:06 why none of this shows up in productivity statistics yet 18:07 why he thinks you should work at a lab, not an auditing org 22:32 the AlphaZero video that made him feel like he'd met aliens 23:36 what AidanBench measured and why he wants someone to revive it 25:30 the risk isn't a mode collapsed model, it's a mode collapsed world

MTS

106,403 次观看 • 1 个月前

Long-term holders pay the price for a hardware flaw, not a lapse in judgment. On the new Bits + Bips, Austin Campbell, Ram Ahluwalia CFA, Lumida, and Christopher Perkins 🦅🌎⚓️NYC join Alex Thorn, who has traced the Coldcard firmware bug in real time. According to Alex Thorn, three confirmed waves have taken over $100 million in BTC, and victims averaged four years of dormancy. 🔐 Timestamps: 📱 00:54 Cape: Get 33% off your first six months of privacy-first mobile service at 📉 02:22 How a $45B AI fund cratered to $10B in one brutal month 🖥️ 07:59 Alex Thorn: why AI infrastructure demand isn't actually slowing 🏦 15:45 Why Ram calls Citadel and Jane Street the new lenders of last resort 🔐 20:14 Inside the Coldcard hack: over $100M drained from cold storage 🎲 24:11 How a broken random number generator let attackers derive keys 🕵️ 30:19 Alex Thorn traces the Coldcard attacker's wave-by-wave pattern 🤖 40:23 Why US AI guardrails are pushing security research to Chinese models 🔑 45:50 Self-custody or Coinbase? Alex Thorn's advice for grandma's Bitcoin 🏛️ 54:44 The Fed holds rates as Kevin Warsh pushes for more accountability 🇯🇵 57:48 The yen carry trade, a more powerful Treasury, and how to keep rates low
1:01:10

Long-term holders pay the price for a hardware flaw, not a lapse in judgment. On the new Bits + Bips, Austin Campbell, Ram Ahluwalia CFA, Lumida, and Christopher Perkins 🦅🌎⚓️NYC join Alex Thorn, who has traced the Coldcard firmware bug in real time. According to Alex Thorn, three confirmed waves have taken over $100 million in BTC, and victims averaged four years of dormancy. 🔐 Timestamps: 📱 00:54 Cape: Get 33% off your first six months of privacy-first mobile service at 📉 02:22 How a $45B AI fund cratered to $10B in one brutal month 🖥️ 07:59 Alex Thorn: why AI infrastructure demand isn't actually slowing 🏦 15:45 Why Ram calls Citadel and Jane Street the new lenders of last resort 🔐 20:14 Inside the Coldcard hack: over $100M drained from cold storage 🎲 24:11 How a broken random number generator let attackers derive keys 🕵️ 30:19 Alex Thorn traces the Coldcard attacker's wave-by-wave pattern 🤖 40:23 Why US AI guardrails are pushing security research to Chinese models 🔑 45:50 Self-custody or Coinbase? Alex Thorn's advice for grandma's Bitcoin 🏛️ 54:44 The Fed holds rates as Kevin Warsh pushes for more accountability 🇯🇵 57:48 The yen carry trade, a more powerful Treasury, and how to keep rates low

Laura Shin

12,482 次观看 • 1 个月前

🎙️Freedom, Forged in Art Ep. 155 with MADEX MADEX is an internationally renowned artist, designer and creative director from Alberta, Canada. He built the BULLBITCOIN.COM brand alongside FRANCIS ⚜️ BULLBITCOIN.COM, and runs MADEX CO, a fine art, jewelry and regalia project he describes as a freedom project. In this rare conversation, MADEX explains why art has been captured as a vehicle for collectivist ideas and how he is pushing the opposite, what his three pillars of freedom are, why he refuses to put the Bitcoin ₿ on anything he makes, and why everyone should have children. → Please like, comment, share & subscribe, to help me beat the suppressing algo's. Thank you! 00:00 - Coming Up... 01:33 - Introduction: MADEX 05:28 - Why MADEX Is a Freedom Project 08:41 - Judge a Society by How It Treats Its Entrepreneurs 09:32 - Ad-Break: Expat Money & Ledn 13:01 - Why American Pickup Trucks Keep Getting Bigger 17:56 - Fiat & Global Agendas Influencing Companies & Brands 20:03 - Madex' Childhood in Alberta, Building Toys 24:35 - The Three Pillars of Freedom: Transact, Defend, Communicate 27:48 - No Compromise on Quality & Great Products 32:35 - Bitcoin as a Patron of Arts 38:40 - AI, Creativity & Divine Connection 42:14 - Ad-Break: Trezor & Abundant Mines 44:03 - Beyond the "B" in Bitcoin Art 50:55 - "MADEX Manifesto" Film and a Future One 55:55 - Value Has to Be Created Before It Can Be Stolen 59:34 - What Makes MADEX Bullish 1:05:27 - Free Your Mind & Soul 1:11:28 - "MADEX Manifesto" Short Film
1:16:40

🎙️Freedom, Forged in Art Ep. 155 with MADEX MADEX is an internationally renowned artist, designer and creative director from Alberta, Canada. He built the BULLBITCOIN.COM brand alongside FRANCIS ⚜️ BULLBITCOIN.COM, and runs MADEX CO, a fine art, jewelry and regalia project he describes as a freedom project. In this rare conversation, MADEX explains why art has been captured as a vehicle for collectivist ideas and how he is pushing the opposite, what his three pillars of freedom are, why he refuses to put the Bitcoin ₿ on anything he makes, and why everyone should have children. → Please like, comment, share & subscribe, to help me beat the suppressing algo's. Thank you! 00:00 - Coming Up... 01:33 - Introduction: MADEX 05:28 - Why MADEX Is a Freedom Project 08:41 - Judge a Society by How It Treats Its Entrepreneurs 09:32 - Ad-Break: Expat Money & Ledn 13:01 - Why American Pickup Trucks Keep Getting Bigger 17:56 - Fiat & Global Agendas Influencing Companies & Brands 20:03 - Madex' Childhood in Alberta, Building Toys 24:35 - The Three Pillars of Freedom: Transact, Defend, Communicate 27:48 - No Compromise on Quality & Great Products 32:35 - Bitcoin as a Patron of Arts 38:40 - AI, Creativity & Divine Connection 42:14 - Ad-Break: Trezor & Abundant Mines 44:03 - Beyond the "B" in Bitcoin Art 50:55 - "MADEX Manifesto" Film and a Future One 55:55 - Value Has to Be Created Before It Can Be Stolen 59:34 - What Makes MADEX Bullish 1:05:27 - Free Your Mind & Soul 1:11:28 - "MADEX Manifesto" Short Film

Efrat Fenigson

11,268 次观看 • 1 个月前

BITCOIN RAILS #46: BITCOIN MINING IN THE AGE OF AI | with MARA CEO Fred Thiel 🔗 YOUTUBE: 🌿 SPOTIFY: In response to the AI-driven shock in global demand for computing power, large players in the Bitcoin mining industry have been forced to make significant strategic shifts to remain competitive. MARA — the largest Bitcoin miner in the world by hashrate — is emerging as one of the more well-positioned beneficiaries of these changing tides, having transitioned from an “asset-light” strategy (via hosted mining at third-party facilities) to an “asset-heavy” approach (owning its own land, power, and infrastructure) just ahead of the AI compute wave in 2024/25. I sat down with MARA CEO Fred Thiel to discuss how these shifting industry dynamics are playing out in practice — as well as his perspective on how key mining-related security and infrastructure issues may evolve in the coming months and years. In this episode, we cover: — How MARA scaled from near-zero hash rate in 2020 to the largest Bitcoin miner globally by the end of 2023 — Key differences between operating Bitcoin mining facilities versus AI data centers, and where the two models meaningfully intersect — Why ownership of power generation — rather than reliance on PPAs — may represent a durable competitive edge for miners and AI data center operators over time — Why Bitcoin may be entering its “IPO phase,” and why recent price corrections could reflect increasing market maturity rather than structural weakness We also explore more technical and often under-discussed topics, such as heat reuse, open-source mining technologies, and the implications of US policy goals around Bitcoin mining. This episode offers a grounded, operator-level view of where Bitcoin mining is headed, informed by one of the most influential leaders in the public mining sector. This episode of Bitcoin Rails is powered by: — Best In Slot (Best in Slot | BRC2.0 🧑‍🍳) — the leading API for Ordinals and BRC-20 data aggregation and indexing. — Spark (Lightspark) — a statechains implementation advancing Bitcoin-powered payments. — Citrea (Citrea | Mainnet Live 🍊🍋) — a leading Bitcoin rollup technology and BitVM alliance contributor. TIMESTAMPS 📌 00:00 Intro 01:09 From Marathon Patent Group to MARA 06:35 Why Owning Infrastructure is Key 07:46 First Public Companies Mining Bitcoin 09:54 Data Centers For AI vs Bitcoin Mining Facilities 14:07 How AI Data Centers Will Look Going Forward 15:37 How MARA is Diversifying From Bitcoin Mining 19:03 Private Cloud and Data Security 22:20 The Exaion Partnership 26:03 Future of Bitcoin and AI 40:22 Innovative Approaches to AI and Bitcoin Mining 42:06 Challenges and Opportunities in Power Generation 45:38 Strategic International Partnerships 50:43 The Future of Real World Assets 53:53 Bitcoin Mining in China 57:24 Why MARA Runs Their Own Software 01:00:19 Where is Bitcoin Mining Headed 01:04:17 Benefits of Running a Mining Pool 01:07:17 Heat Reuse in Mining 01:12:23 The Role of Data Centers in Power Generation
1:18:39

BITCOIN RAILS #46: BITCOIN MINING IN THE AGE OF AI | with MARA CEO Fred Thiel 🔗 YOUTUBE: 🌿 SPOTIFY: In response to the AI-driven shock in global demand for computing power, large players in the Bitcoin mining industry have been forced to make significant strategic shifts to remain competitive. MARA — the largest Bitcoin miner in the world by hashrate — is emerging as one of the more well-positioned beneficiaries of these changing tides, having transitioned from an “asset-light” strategy (via hosted mining at third-party facilities) to an “asset-heavy” approach (owning its own land, power, and infrastructure) just ahead of the AI compute wave in 2024/25. I sat down with MARA CEO Fred Thiel to discuss how these shifting industry dynamics are playing out in practice — as well as his perspective on how key mining-related security and infrastructure issues may evolve in the coming months and years. In this episode, we cover: — How MARA scaled from near-zero hash rate in 2020 to the largest Bitcoin miner globally by the end of 2023 — Key differences between operating Bitcoin mining facilities versus AI data centers, and where the two models meaningfully intersect — Why ownership of power generation — rather than reliance on PPAs — may represent a durable competitive edge for miners and AI data center operators over time — Why Bitcoin may be entering its “IPO phase,” and why recent price corrections could reflect increasing market maturity rather than structural weakness We also explore more technical and often under-discussed topics, such as heat reuse, open-source mining technologies, and the implications of US policy goals around Bitcoin mining. This episode offers a grounded, operator-level view of where Bitcoin mining is headed, informed by one of the most influential leaders in the public mining sector. This episode of Bitcoin Rails is powered by: — Best In Slot (Best in Slot | BRC2.0 🧑‍🍳) — the leading API for Ordinals and BRC-20 data aggregation and indexing. — Spark (Lightspark) — a statechains implementation advancing Bitcoin-powered payments. — Citrea (Citrea | Mainnet Live 🍊🍋) — a leading Bitcoin rollup technology and BitVM alliance contributor. TIMESTAMPS 📌 00:00 Intro 01:09 From Marathon Patent Group to MARA 06:35 Why Owning Infrastructure is Key 07:46 First Public Companies Mining Bitcoin 09:54 Data Centers For AI vs Bitcoin Mining Facilities 14:07 How AI Data Centers Will Look Going Forward 15:37 How MARA is Diversifying From Bitcoin Mining 19:03 Private Cloud and Data Security 22:20 The Exaion Partnership 26:03 Future of Bitcoin and AI 40:22 Innovative Approaches to AI and Bitcoin Mining 42:06 Challenges and Opportunities in Power Generation 45:38 Strategic International Partnerships 50:43 The Future of Real World Assets 53:53 Bitcoin Mining in China 57:24 Why MARA Runs Their Own Software 01:00:19 Where is Bitcoin Mining Headed 01:04:17 Benefits of Running a Mining Pool 01:07:17 Heat Reuse in Mining 01:12:23 The Role of Data Centers in Power Generation

Isabel Foxen Duke⚡️

31,915 次观看 • 8 个月前