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Full CludeAI $CLUDE interview w/seb Topics covered: → 2% hallucination rate vs 15% industry → Big labs are incentivized not to fix memory → ~100x token cost reduction -------------------------------- 0:00 Sovereign memory narrative 1:26 Founder background 3:28 The context window problem 9:08 Why big labs won't fix it 17:23...

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MCG

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13,346 次观看 • 4 个月前 •via X (Twitter)

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Semi Doped

19,439 次观看 • 3 个月前

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30,840 次观看 • 4 个月前

The alpha is not on Twitter, and most things in crypto will go to zero. Also, AI is gonna cook us. @countersignalpd episode 3 with my friend Addison, an acquired crypto founder & MIT student Timestamps: 0:00 Intro 0:38 Addison Origin Story 2:45 Founding Thunderhead at 16 13:45 Early to Hyperliquid in 2023 15:32 Why do high caliber people go to crypto... 17:01 Valantis Labs Acquisition of Thunderhead 22:08 Value creation in speculation as the world becomes more hopeless 26:29 How to not get cooked in the future 27:28 The alpha is NOT on Twitter, it's in... 30:23 Build generational wealth in the next 5-10 years or get cooked by AI 32:58 Media will become increasingly important 34:35 AI bubble vs crypto bubble 37:09 What isn't going to go to 0 in crypto? 45:45 Value creation outside of tech 48:28 Why not dropout of college?
52:47

The alpha is not on Twitter, and most things in crypto will go to zero. Also, AI is gonna cook us. @countersignalpd episode 3 with my friend Addison, an acquired crypto founder & MIT student Timestamps: 0:00 Intro 0:38 Addison Origin Story 2:45 Founding Thunderhead at 16 13:45 Early to Hyperliquid in 2023 15:32 Why do high caliber people go to crypto... 17:01 Valantis Labs Acquisition of Thunderhead 22:08 Value creation in speculation as the world becomes more hopeless 26:29 How to not get cooked in the future 27:28 The alpha is NOT on Twitter, it's in... 30:23 Build generational wealth in the next 5-10 years or get cooked by AI 32:58 Media will become increasingly important 34:35 AI bubble vs crypto bubble 37:09 What isn't going to go to 0 in crypto? 45:45 Value creation outside of tech 48:28 Why not dropout of college?

sracha

24,806 次观看 • 10 个月前

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal
33:43

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal

Matthew Berman

3,370,531 次观看 • 5 个月前

SPECIAL: Cathie Wood (Cathie Wood) On Digital Assets, Stablecoins, and The Innovation Convergence Cathie Wood joins us to break down her innovation platforms thesis, the story behind her firm ARK Invest, and their foray into digital assets. She also unpacks the tokenization thesis, what 'good deflation' is, and her "Big Four" crypto assets. Full episode links below. Timestamps: 00:00 Intro 01:22 5 Innovation Platforms 04:53 Why ARK Started 08:11 Bitcoin's Institutional Journey 12:38 First Bitcoin Position 15:11 Institutional Adoption Today 17:33 Larry Fink's Conversion 19:30 Stablecoins Are Impactful 22:06 Cathie's Tokenization Thesis 23:07 DeFi Value Accrual 28:48 Bitcoin & The Big Four 32:39 Macro Liquidity Dynamics 34:24 Bitcoin vs Gold 35:38 ARK's Bitcoin Bull Case 38:00 The Fed & Good Deflation 41:15 New Fed Chair 45:05 Four Year Cycle Debate 46:10 Why Agentic AI Needs Blockchain 49:15 Self-Driving Labs & Healthcare
50:40

SPECIAL: Cathie Wood (Cathie Wood) On Digital Assets, Stablecoins, and The Innovation Convergence Cathie Wood joins us to break down her innovation platforms thesis, the story behind her firm ARK Invest, and their foray into digital assets. She also unpacks the tokenization thesis, what 'good deflation' is, and her "Big Four" crypto assets. Full episode links below. Timestamps: 00:00 Intro 01:22 5 Innovation Platforms 04:53 Why ARK Started 08:11 Bitcoin's Institutional Journey 12:38 First Bitcoin Position 15:11 Institutional Adoption Today 17:33 Larry Fink's Conversion 19:30 Stablecoins Are Impactful 22:06 Cathie's Tokenization Thesis 23:07 DeFi Value Accrual 28:48 Bitcoin & The Big Four 32:39 Macro Liquidity Dynamics 34:24 Bitcoin vs Gold 35:38 ARK's Bitcoin Bull Case 38:00 The Fed & Good Deflation 41:15 New Fed Chair 45:05 Four Year Cycle Debate 46:10 Why Agentic AI Needs Blockchain 49:15 Self-Driving Labs & Healthcare

The Rollup

52,600 次观看 • 2 个月前

*Major* open source AI drop today. Can America win the Open AI race? My conversation with Nathan Lambert and Luca Soldaini 🎀 of Ai2 about the launch of Olmo 3 00:00 – Cold Open 00:39 – Welcome & today’s big announcement 01:18 – Introducing the Olmo 3 model family 02:07 – What “base models” really are (and why they matter) 05:51 – Dolma 3: the data behind Olmo 3 08:06 – Performance vs Qwen, Gemma, DeepSeek 10:28 – What true open source means (and why it’s rare) 12:51 – Intermediate checkpoints, transparency, and why AI2 publishes everything 16:37 – Why Qwen is everywhere (including U.S. startups) 18:31 – Why Chinese labs go open source (and why U.S. labs don’t) 20:28 – Inside ATOM: the U.S. response to China’s model surge 22:13 – The rise of “thinking models” and inference-time scaling 35:58 – The full Olmo pipeline, explained simply 46:52 – Pre-training: data, scale, and avoiding catastrophic spikes 50:27 – Mid-training (tail patching) and avoiding test leakage 52:06 – Why long-context training matters 55:28 – SFT: building the foundation for reasoning 1:04:53 – Preference tuning & why DPO still works 1:10:51 – The hard part: RLVR, long reasoning chains, and infrastructure pain 1:13:59 – Why RL is so technically brutal 1:18:17 – Complexity tax vs AGI hype 1:21:58 – How everyone can contribute to the future of AI 1:27:26 – Closing thoughts
1:28:10

*Major* open source AI drop today. Can America win the Open AI race? My conversation with Nathan Lambert and Luca Soldaini 🎀 of Ai2 about the launch of Olmo 3 00:00 – Cold Open 00:39 – Welcome & today’s big announcement 01:18 – Introducing the Olmo 3 model family 02:07 – What “base models” really are (and why they matter) 05:51 – Dolma 3: the data behind Olmo 3 08:06 – Performance vs Qwen, Gemma, DeepSeek 10:28 – What true open source means (and why it’s rare) 12:51 – Intermediate checkpoints, transparency, and why AI2 publishes everything 16:37 – Why Qwen is everywhere (including U.S. startups) 18:31 – Why Chinese labs go open source (and why U.S. labs don’t) 20:28 – Inside ATOM: the U.S. response to China’s model surge 22:13 – The rise of “thinking models” and inference-time scaling 35:58 – The full Olmo pipeline, explained simply 46:52 – Pre-training: data, scale, and avoiding catastrophic spikes 50:27 – Mid-training (tail patching) and avoiding test leakage 52:06 – Why long-context training matters 55:28 – SFT: building the foundation for reasoning 1:04:53 – Preference tuning & why DPO still works 1:10:51 – The hard part: RLVR, long reasoning chains, and infrastructure pain 1:13:59 – Why RL is so technically brutal 1:18:17 – Complexity tax vs AGI hype 1:21:58 – How everyone can contribute to the future of AI 1:27:26 – Closing thoughts

Matt Turck

37,482 次观看 • 7 个月前

The bull case for crypto isn’t memes. It’s better market structure. buffalu on why onchain finance can be cheaper, faster, and more open than the brokerage model most people use today. 0:00 Intro 0:49 What is Jito and why does it exist? 1:11 Why Solana transactions are less than a penny 2:00 What attracted Lucas to Solana from Ethereum 2:39 How Jito is like Cloudflare for blockchains 5:02 The $1,500 Ethereum transaction fee problem 7:21 The vision: all of finance onchain 7:46 Why onchain beats opening a Robinhood account 8:37 Lucas's journey from robotics to crypto 9:55 Solana's rate of improvement and Anatoly's Law 10:44 The pitch for people new to crypto 15:00 Staying lean at 21 people 15:17 Nicotine as a productivity hack 15:58 Sleep, alcohol, and the Oura ring 16:25 Movie and show recommendations 16:40 Smallest hill you'll die on: littering and shopping carts
18:01

The bull case for crypto isn’t memes. It’s better market structure. buffalu on why onchain finance can be cheaper, faster, and more open than the brokerage model most people use today. 0:00 Intro 0:49 What is Jito and why does it exist? 1:11 Why Solana transactions are less than a penny 2:00 What attracted Lucas to Solana from Ethereum 2:39 How Jito is like Cloudflare for blockchains 5:02 The $1,500 Ethereum transaction fee problem 7:21 The vision: all of finance onchain 7:46 Why onchain beats opening a Robinhood account 8:37 Lucas's journey from robotics to crypto 9:55 Solana's rate of improvement and Anatoly's Law 10:44 The pitch for people new to crypto 15:00 Staying lean at 21 people 15:17 Nicotine as a productivity hack 15:58 Sleep, alcohol, and the Oura ring 16:25 Movie and show recommendations 16:40 Smallest hill you'll die on: littering and shopping carts

a16z crypto

19,835 次观看 • 3 个月前

E137: From exposing Bitcoin’s biggest weakness to onboarding FIFA and MapleStory - Avalanche🔺 CEO and Founder Emin Gün Sirer🔺⚔️ - founder of Ava Labs 🔺, the company behind Avalanche - shares the journey from building Karma (a pre-Bitcoin digital currency) to pioneering Avalanche, the multi-chain blockchain reshaping crypto's infrastructure. From early academic battles with Bitcoin maxis to onboarding FIFA and MapleStory Universe, this is one of the wildest rides in Web3. Timestamps 0:00 Introduction 1:59 Opening Comments 2:55 What Is Your Mission 3:39 Who Are You 6:00 Business vs PHD Program 7:21 Chip on The Shoulder 9:32 Partnerships Jupiter, Money Badgers, Mantle 10:27 Chip On The Shoulder (Continued) 11:55 What Is An Internet Currency 13:55 Why Was Bitcoin Better 15:46 Biggest Flaws In Bitcoin 19:17 Is Maximalism A Good Thing 21:18 Does Maximalism Help Bitcoin 22:05 Fascination With Bitcoin & Crypto 23:33 Evolution With Time 25:11 Broader Crypto Use 27:26 Partnerships Trezor Sui 28:15 Avalanche Explained Simply 28:48 Shiny Object, Why People Fall For It 33:08 Moving Towards Show Me Era 34:27 What Emin Did Different 36:45 What Did You Do Wrong 38:10 Does The Best Tech Win 40:03 Avalanche, Home of Layer Ones? 42:10 How Does Avalanche Scale 43:38 The Gaming Blockchain 48:21 Real World Assets on Defy 50:31 How Big Is RWA 50:58 Why Transformation Is Slow 52:36 FIFA On Avalanche Blockchain, Why? 53:28 Endgame For Avalanche 56:48 Personal Difficulties While Building 58:30 What Did You Change Afterwards 1:01:25 Why Live In New York 1:03:40 Debanked After Moving 1:09:05 Crypto Full Mainstream, How? 1:10:43 Biggest Prediction In 12 Months
1:12:36

E137: From exposing Bitcoin’s biggest weakness to onboarding FIFA and MapleStory - Avalanche🔺 CEO and Founder Emin Gün Sirer🔺⚔️ - founder of Ava Labs 🔺, the company behind Avalanche - shares the journey from building Karma (a pre-Bitcoin digital currency) to pioneering Avalanche, the multi-chain blockchain reshaping crypto's infrastructure. From early academic battles with Bitcoin maxis to onboarding FIFA and MapleStory Universe, this is one of the wildest rides in Web3. Timestamps 0:00 Introduction 1:59 Opening Comments 2:55 What Is Your Mission 3:39 Who Are You 6:00 Business vs PHD Program 7:21 Chip on The Shoulder 9:32 Partnerships Jupiter, Money Badgers, Mantle 10:27 Chip On The Shoulder (Continued) 11:55 What Is An Internet Currency 13:55 Why Was Bitcoin Better 15:46 Biggest Flaws In Bitcoin 19:17 Is Maximalism A Good Thing 21:18 Does Maximalism Help Bitcoin 22:05 Fascination With Bitcoin & Crypto 23:33 Evolution With Time 25:11 Broader Crypto Use 27:26 Partnerships Trezor Sui 28:15 Avalanche Explained Simply 28:48 Shiny Object, Why People Fall For It 33:08 Moving Towards Show Me Era 34:27 What Emin Did Different 36:45 What Did You Do Wrong 38:10 Does The Best Tech Win 40:03 Avalanche, Home of Layer Ones? 42:10 How Does Avalanche Scale 43:38 The Gaming Blockchain 48:21 Real World Assets on Defy 50:31 How Big Is RWA 50:58 Why Transformation Is Slow 52:36 FIFA On Avalanche Blockchain, Why? 53:28 Endgame For Avalanche 56:48 Personal Difficulties While Building 58:30 What Did You Change Afterwards 1:01:25 Why Live In New York 1:03:40 Debanked After Moving 1:09:05 Crypto Full Mainstream, How? 1:10:43 Biggest Prediction In 12 Months

MR SHIFT 🦁

93,102 次观看 • 10 个月前