正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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... show more

a16z crypto

821,675 subscribers

24,086 次观看 • 2 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

HK Consensus 2025 SPECIAL EP 8: Ram Kumar on AGI, Specialized Intelligence, and Agent Infrastructure Crypto needs AI that actually... understands crypto, not just slapping ChatGPT onto existing apps. In today's episode, Andy sits down with Ram of Openledger to explore: > The AI Hype Cycle > Speculation vs. Real AI Use Cases > The AI Infrastructure Stack > AI Agents as Smart Onchain Apps > What’s Next for AI in Crypto? Full episode links below. Timestamps: 00:00 Intro 00:41 Frax Ad 01:08 Global Conference Differences 02:01 What’s Next for Crypto AI? 06:12 AI Agent Infrastructure 10:29 Future of AI Agent Interactions 13:45 Mantle Ad 14:27 Redstone Ad 14:56 Building Specialized Agents 19:12 OpenLedger’s Value

HK Consensus 2025 SPECIAL EP 8: Ram Kumar on AGI, Specialized Intelligence, and Agent Infrastructure Crypto needs AI that actually... understands crypto, not just slapping ChatGPT onto existing apps. In today's episode, Andy sits down with Ram of Openledger to explore: > The AI Hype Cycle > Speculation vs. Real AI Use Cases > The AI Infrastructure Stack > AI Agents as Smart Onchain Apps > What’s Next for AI in Crypto? Full episode links below. Timestamps: 00:00 Intro 00:41 Frax Ad 01:08 Global Conference Differences 02:01 What’s Next for Crypto AI? 06:12 AI Agent Infrastructure 10:29 Future of AI Agent Interactions 13:45 Mantle Ad 14:27 Redstone Ad 14:56 Building Specialized Agents 19:12 OpenLedger’s Value

The Rollup

35,328 次观看 • 1 年前

Ben Horowitz and Alex Rampell on AI Infrastructure, Crypto, and the Future of Venture a16z's Ben Horowitz and Alex Rampell sit down to discuss why the fundamental rules of building software companies have changed, how AI is creating massive demand for crypto infrastructure, why the next 15 years will make everyone's lives dramatically better, and more. 00:00 Intro 01:39 The new laws of physics for tech companies 06:37 Why not every legacy SaaS company is dead 10:30 America's AI infrastructure bottleneck 14:27 AI + crypto: Why they're more connected than you think 19:54 The future of VC 24:06 AI and the history of technological change benahorowitz.eth Alex Rampell

Ben Horowitz and Alex Rampell on AI Infrastructure, Crypto, and the Future of Venture a16z's Ben Horowitz and Alex Rampell sit down to discuss why the fundamental rules of building software companies have changed, how AI is creating massive demand for crypto infrastructure, why the next 15 years will make everyone's lives dramatically better, and more. 00:00 Intro 01:39 The new laws of physics for tech companies 06:37 Why not every legacy SaaS company is dead 10:30 America's AI infrastructure bottleneck 14:27 AI + crypto: Why they're more connected than you think 19:54 The future of VC 24:06 AI and the history of technological change benahorowitz.eth Alex Rampell

a16z

24,904 次观看 • 2 个月前

"AI Agents are bloated versions of apps where they are smarter", as our core contributor Ram breaks things down with Andy They jam on exploring the AI Infrastructure Stack and AI Agents as Smart Onchain Apps, enabling people to build smarter and specialized AI agents on top of OpenLedger

"AI Agents are bloated versions of apps where they are smarter", as our core contributor Ram breaks things down with Andy They jam on exploring the AI Infrastructure Stack and AI Agents as Smart Onchain Apps, enabling people to build smarter and specialized AI agents on top of OpenLedger

Openledger

19,485 次观看 • 1 年前

EXCLUSIVE: Programmable IP In The Age of AI with Jason Zhao In this episode, & Wayne Sim sit down with of Story Protocol Legacy for a session about the evolving landscape of IP in the context of AI and blockchain technology. We cover: > Programmable IP onchain > The intersection of IP and AI > AI agents evolution > Jason's vision for IP in crypto > Why crypto x AI is so exciting Full episode links below. Timestamps: 00:00 Intro 01:05 AI and IP Refresher 07:35 Evolving IP with Blockchains 19:04 Can Agents Have Original ideas? 31:34 Crypto & AI: Direction of Causality 43:50 Is Story an AI or IP chain? 51:42 Training Agents on IP

EXCLUSIVE: Programmable IP In The Age of AI with Jason Zhao In this episode, & Wayne Sim sit down with of Story Protocol Legacy for a session about the evolving landscape of IP in the context of AI and blockchain technology. We cover: > Programmable IP onchain > The intersection of IP and AI > AI agents evolution > Jason's vision for IP in crypto > Why crypto x AI is so exciting Full episode links below. Timestamps: 00:00 Intro 01:05 AI and IP Refresher 07:35 Evolving IP with Blockchains 19:04 Can Agents Have Original ideas? 31:34 Crypto & AI: Direction of Causality 43:50 Is Story an AI or IP chain? 51:42 Training Agents on IP

The Rollup

276,269 次观看 • 1 年前

A new episode of Hivemind is out now! This week we discuss the market rebound, DeFi exploit fallout, Crypto AI resurgence, and more. Timestamps: 0:00 Intro + market sentiment shift 08:55 The Aave/KelpDAO exploit explained 17:00 Why DeFi lending models may need to change 37:30 Where DeFi yield still makes sense 38:00 USDAI and real-world AI infrastructure yield 48:20 Venice, Bittensor, and AI token narratives 54:00 How AI agents are changing productivity 1:00:50 What the team is watching next

A new episode of Hivemind is out now! This week we discuss the market rebound, DeFi exploit fallout, Crypto AI resurgence, and more. Timestamps: 0:00 Intro + market sentiment shift 08:55 The Aave/KelpDAO exploit explained 17:00 Why DeFi lending models may need to change 37:30 Where DeFi yield still makes sense 38:00 USDAI and real-world AI infrastructure yield 48:20 Venice, Bittensor, and AI token narratives 54:00 How AI agents are changing productivity 1:00:50 What the team is watching next

Delphi Digital

12,551 次观看 • 2 个月前

AI, Crypto & Web3: The Future of Intelligent Agent w/ Lex Sokolin | Generative Ventures 00:07 - Who is Lex Sokolin 03:39 - The Economics of AI 05:16 - Why Crypto Struggles 07:51 - Web2 vs. Web3 AI 10:46 - DAOs in AI Frameworks 19:57 - The Rise of On-Chain AI Agents 30:35 - The Future of AI & Crypto

AI, Crypto & Web3: The Future of Intelligent Agent w/ Lex Sokolin | Generative Ventures 00:07 - Who is Lex Sokolin 03:39 - The Economics of AI 05:16 - Why Crypto Struggles 07:51 - Web2 vs. Web3 AI 10:46 - DAOs in AI Frameworks 19:57 - The Rise of On-Chain AI Agents 30:35 - The Future of AI & Crypto

Francesco Andreoli ᵍᵐ

66,942 次观看 • 1 年前

Ben Horowitz on the infrastructure behind the AI economy: "Crypto is the natural money for AI because it’s internet-native money." "AI is global. Crypto is global." "There needs to be not just a ledger of money, but probably a ledger of truth for AI to really fulfill its potential." "I think people are probably underestimating how crypto and AI work together to form the AI economy." "Networks and computers tend to grow together, and I think that AI is obviously a new kind of computer and crypto is a new kind of network." benahorowitz.eth on Moonshots with Peter H. Diamandis, MD

Ben Horowitz on the infrastructure behind the AI economy: "Crypto is the natural money for AI because it’s internet-native money." "AI is global. Crypto is global." "There needs to be not just a ledger of money, but probably a ledger of truth for AI to really fulfill its potential." "I think people are probably underestimating how crypto and AI work together to form the AI economy." "Networks and computers tend to grow together, and I think that AI is obviously a new kind of computer and crypto is a new kind of network." benahorowitz.eth on Moonshots with Peter H. Diamandis, MD

a16z

237,113 次观看 • 4 个月前

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, Andy & robbie 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, Andy & robbie 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

31,399 次观看 • 1 年前

AI has a trust problem. Verifiability is the solution. Our GM of AI Nima Vaziri sat down with a16z’s Ali Yahya and Dan Boneh of Stanford University to map the deepest fault lines in AI today. ☁️ Models we can’t trust ☁️ Current providers can censor, shut down, or shift rules overnight. Outsourced training hides backdoors. Even “open” weights don’t prove what’s actually running. Trust. Backdoors. Black boxes. The path forward is clear: 🔥 Verifiable evals 🔥 Verifiable inference 🔥 TEEs for hardware-backed integrity 🔥 Infra beyond single points of control 🔥 Blockchains as coordination layers for AI From “trust us” to “verify yourself.” That’s the shift. That’s the unlock. The frontier is here. The builders decide what comes next. Create and use AI that’s incentive aligned with you. Timestamps: 00:00:00 Introduction: AI & Crypto Intersection Overview 00:01:58 Four Major AI-Crypto Trends 00:02:44 AI Agents Need Financial Infrastructure 00:04:03 Proof of Humanity: Fighting AI-Generated Content 00:04:17 Decentralizing AI Infrastructure Networks 00:04:44 Synthetic Life: Autonomous AI Agents 00:06:20 Verifiable AI 00:10:16 Current Performance Numbers for AI Proofs 00:13:18 The Era of Experience in AI Learning 00:14:56 AI Agents Having Life of its Own 00:18:21 Algorithmic Fairness & Verifiable Models 00:23:18 Privacy in AI: Trusted Execution Environments 00:25:47 Economic Incentive for Open Weight Models 00:31:39 Attribution Problem: Who Gets Paid for AI Training? 00:35:52 Content Provenance & Authentication (C2PA) 00:48:03 AI Security: Finding Exploits & Vulnerabilities 00:54:53 Educational Applications: LLMs as Learning Partner 00:58:29 Reliance on LLMs and Cognitive Abilities 01:03:57 Content Providers’ Fear of LLM Training

AI has a trust problem. Verifiability is the solution. Our GM of AI Nima Vaziri sat down with a16z’s Ali Yahya and Dan Boneh of Stanford University to map the deepest fault lines in AI today. ☁️ Models we can’t trust ☁️ Current providers can censor, shut down, or shift rules overnight. Outsourced training hides backdoors. Even “open” weights don’t prove what’s actually running. Trust. Backdoors. Black boxes. The path forward is clear: 🔥 Verifiable evals 🔥 Verifiable inference 🔥 TEEs for hardware-backed integrity 🔥 Infra beyond single points of control 🔥 Blockchains as coordination layers for AI From “trust us” to “verify yourself.” That’s the shift. That’s the unlock. The frontier is here. The builders decide what comes next. Create and use AI that’s incentive aligned with you. Timestamps: 00:00:00 Introduction: AI & Crypto Intersection Overview 00:01:58 Four Major AI-Crypto Trends 00:02:44 AI Agents Need Financial Infrastructure 00:04:03 Proof of Humanity: Fighting AI-Generated Content 00:04:17 Decentralizing AI Infrastructure Networks 00:04:44 Synthetic Life: Autonomous AI Agents 00:06:20 Verifiable AI 00:10:16 Current Performance Numbers for AI Proofs 00:13:18 The Era of Experience in AI Learning 00:14:56 AI Agents Having Life of its Own 00:18:21 Algorithmic Fairness & Verifiable Models 00:23:18 Privacy in AI: Trusted Execution Environments 00:25:47 Economic Incentive for Open Weight Models 00:31:39 Attribution Problem: Who Gets Paid for AI Training? 00:35:52 Content Provenance & Authentication (C2PA) 00:48:03 AI Security: Finding Exploits & Vulnerabilities 00:54:53 Educational Applications: LLMs as Learning Partner 00:58:29 Reliance on LLMs and Cognitive Abilities 01:03:57 Content Providers’ Fear of LLM Training

EigenCloud

62,099 次观看 • 9 个月前

“Crypto is a technology for trust.” A helpful frame from Sreeram Kannan on why AI needs crypto. As agents become more capable, they’ll need ways to hold money, follow rules, show their work, and prove what happened. Crypto is AI's missing trust layer. Full convo with Robert Hackett below. A few highlights: 00:33 — Sreeram's transition from academia to startup founder 02:20 — On EigenCloud and decentralized applications 05:42 — The AI x crypto convergence 08:15 — The future of sovereign AI agents 10:16 — The role of humans in a world of autonomous agents

“Crypto is a technology for trust.” A helpful frame from Sreeram Kannan on why AI needs crypto. As agents become more capable, they’ll need ways to hold money, follow rules, show their work, and prove what happened. Crypto is AI's missing trust layer. Full convo with Robert Hackett below. A few highlights: 00:33 — Sreeram's transition from academia to startup founder 02:20 — On EigenCloud and decentralized applications 05:42 — The AI x crypto convergence 08:15 — The future of sovereign AI agents 10:16 — The role of humans in a world of autonomous agents

a16z crypto

49,930 次观看 • 1 个月前

chat, is starknet gaming cooked? for episode two, loaf has joined me to talk about ai agents in gaming, eliza and Daydreams.Systems (x402, 8004 agents) . timestamps loaf introduction 00:46 what are ai agents? 01:16 what will gaming look like with ai agents? 02:02 whats the point of gaming with ai agents? 04:06 why is onchain gaming the ideal playground for AI agents? 05:11 is a gaming revolution imminent? 07:00 eliza & daydreams 08:36 endgame of ai agents and onchain games 13:33 when and where to play using agents 16:58 final remarks 18:47

chat, is starknet gaming cooked? for episode two, loaf has joined me to talk about ai agents in gaming, eliza and Daydreams.Systems (x402, 8004 agents) . timestamps loaf introduction 00:46 what are ai agents? 01:16 what will gaming look like with ai agents? 02:02 whats the point of gaming with ai agents? 04:06 why is onchain gaming the ideal playground for AI agents? 05:11 is a gaming revolution imminent? 07:00 eliza & daydreams 08:36 endgame of ai agents and onchain games 13:33 when and where to play using agents 16:58 final remarks 18:47

shadowfax

37,573 次观看 • 1 年前

NEW EP: Purpose-Built AI Chains with Anish Agnihotri and Saneel Seerni of Ritual The future of blockchain design may rest in building systems meant for agents. In today's pod @Robbie_rollup and sat down with and Saneel of Ritual, to cover: > AI Execution Onchain vs. Traditional Models > Why DeFi needs AI More Than Just Bots > How Consensus & Compute Works in AI-Driven Blockchains > Composability & Coordination of Onchain AI > Where AI & DeFi are Headed Next Full episode links below. Timestamps: 00:00 Intro to Ritual 5:50 AI Crypto Convergence 14:03 Building AI Agents 25:49 AI Ethical Considerations 37:23 State Bloat & Fast Execution 49:58 Verifying Outputs 58:16 The Butterfly Effect

NEW EP: Purpose-Built AI Chains with Anish Agnihotri and Saneel Seerni of Ritual The future of blockchain design may rest in building systems meant for agents. In today's pod @Robbie_rollup and sat down with and Saneel of Ritual, to cover: > AI Execution Onchain vs. Traditional Models > Why DeFi needs AI More Than Just Bots > How Consensus & Compute Works in AI-Driven Blockchains > Composability & Coordination of Onchain AI > Where AI & DeFi are Headed Next Full episode links below. Timestamps: 00:00 Intro to Ritual 5:50 AI Crypto Convergence 14:03 Building AI Agents 25:49 AI Ethical Considerations 37:23 State Bloat & Fast Execution 49:58 Verifying Outputs 58:16 The Butterfly Effect

The Rollup

58,968 次观看 • 1 年前

SPECIAL: 2025 Crypto & AI Predictions with Haseeb Qureshi In today's episode, & @robbie_rollup were joined by Haseeb ＞|＜ of Dragonfly ＞|＜ to discuss the year ahead in crypto, focusing on: > AI & Crypto convergence > AI Agent meta > New token launches & ICOs > Onchain price discovery > Big EVM and altVM chain launches Full episode links below. Timestamps: 00:00 Intro 01:25 The AI Meta 06:25 AI Causing Division 20:46 Next AI Infra Companies 39:09 Crypto and AI Dynamics 51:24 EVM vs. altVM Dominance 1:00:29 New Token Launches 1:06:09 Onchain Price Discovery & Regulation

SPECIAL: 2025 Crypto & AI Predictions with Haseeb Qureshi In today's episode, & @robbie_rollup were joined by Haseeb ＞|＜ of Dragonfly ＞|＜ to discuss the year ahead in crypto, focusing on: > AI & Crypto convergence > AI Agent meta > New token launches & ICOs > Onchain price discovery > Big EVM and altVM chain launches Full episode links below. Timestamps: 00:00 Intro 01:25 The AI Meta 06:25 AI Causing Division 20:46 Next AI Infra Companies 39:09 Crypto and AI Dynamics 51:24 EVM vs. altVM Dominance 1:00:29 New Token Launches 1:06:09 Onchain Price Discovery & Regulation

The Rollup

58,412 次观看 • 1 年前

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg

a16z

162,573 次观看 • 2 个月前

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

Bg2 Pod

35,410 次观看 • 6 个月前

Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A

Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A

Y Combinator

194,393 次观看 • 1 年前

Everyone's building AI agents for crypto. Almost nobody's talking about the infrastructure problem. AI agents need to move faster than humans. But most blockchains are built for humans. Here's why that's a massive issue (and how Supra fixed it):

Everyone's building AI agents for crypto. Almost nobody's talking about the infrastructure problem. AI agents need to move faster than humans. But most blockchains are built for humans. Here's why that's a massive issue (and how Supra fixed it):

Supra

15,795 次观看 • 6 个月前

NEW EP: How Blockchain Fixes AI's Biggest Problem with Anand Iyer The race to control AI isn’t complete without crypto having a say. In today's episode, Andy sits down with anand iyer to explore: > Why $300B Went to Centralized AI vs $1B to Decentralized > How One Developer Could Code the Next Billion Dollar AI Company > Why Teenagers Are Using ChatGPT as Their Therapist > The Case for Staking Against AGI > Why AI Tokens Doubled While Everything Else Crashed > How Crypto's Capital Coordination Could Reshape AI Ownership Full episode links below. Timestamps: 00:00 Intro 00:58 Magic Ad 01:26 Starknet Ad 01:52 Anand’s Investing Thesis 06:29 Data Center Arms Race 13:31 AI Power Consumption 21:26 Training and Enhancing AI Models 26:33 SummerFi Ad 27:15 Mantle Ad 27:56 AI Crypto Company Challenges 35:01 Centralized AI Sentiment Change 39:05 Onchain IPO Era 45:26 New Models for AI Founders 48:43 Anand Reacts to Tweets

NEW EP: How Blockchain Fixes AI's Biggest Problem with Anand Iyer The race to control AI isn’t complete without crypto having a say. In today's episode, Andy sits down with anand iyer to explore: > Why $300B Went to Centralized AI vs $1B to Decentralized > How One Developer Could Code the Next Billion Dollar AI Company > Why Teenagers Are Using ChatGPT as Their Therapist > The Case for Staking Against AGI > Why AI Tokens Doubled While Everything Else Crashed > How Crypto's Capital Coordination Could Reshape AI Ownership Full episode links below. Timestamps: 00:00 Intro 00:58 Magic Ad 01:26 Starknet Ad 01:52 Anand’s Investing Thesis 06:29 Data Center Arms Race 13:31 AI Power Consumption 21:26 Training and Enhancing AI Models 26:33 SummerFi Ad 27:15 Mantle Ad 27:56 AI Crypto Company Challenges 35:01 Centralized AI Sentiment Change 39:05 Onchain IPO Era 45:26 New Models for AI Founders 48:43 Anand Reacts to Tweets

The Rollup

12,829 次观看 • 11 个月前

AI Winners, Token Economics, and Venture Strategy w/ David Clark and David George VenCap CIO David Clark joins a16z GP David George to discuss the AI supercycle and how it's changing the technology industry, including what bigger exits mean for venture capital, why we're not in a bubble, why we're still early in enterprise AI adoption, and more. 00:00 Intro 00:38 The scale shift: Anthropic & OpenAI adding more revenue than hyperscalers 04:20 Skeuomorphic vs native AI applications in the enterprise 06:24 How the best AI companies run themselves differently 08:14 Top 1% exits 10x'd in 24 months 11:17 The half-life problem: Why 40% of AI leaders drop off every year 13:11 Token economics, cost pressure, and who captures value 17:00 Loss ratios, risk, and how to think about early stage 22:51 Are we in an AI bubble? 29:50 The future of venture capital in an AI world David Clark David George

AI Winners, Token Economics, and Venture Strategy w/ David Clark and David George VenCap CIO David Clark joins a16z GP David George to discuss the AI supercycle and how it's changing the technology industry, including what bigger exits mean for venture capital, why we're not in a bubble, why we're still early in enterprise AI adoption, and more. 00:00 Intro 00:38 The scale shift: Anthropic & OpenAI adding more revenue than hyperscalers 04:20 Skeuomorphic vs native AI applications in the enterprise 06:24 How the best AI companies run themselves differently 08:14 Top 1% exits 10x'd in 24 months 11:17 The half-life problem: Why 40% of AI leaders drop off every year 13:11 Token economics, cost pressure, and who captures value 17:00 Loss ratios, risk, and how to think about early stage 22:51 Are we in an AI bubble? 29:50 The future of venture capital in an AI world David Clark David George

a16z

42,120 次观看 • 28 天前