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INTERVIEW - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic David Hoffman sits down with Jon ShapeShift and Jesse Proudman to unpack how Venice is taking on OpenAI and Anthropic with private AI. They talk about: - why AI is becoming the biggest data...

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Bankless

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59,022 次观看 • 1 个月前 •via X (Twitter)

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INTERVIEW: Why $VVV at $17 is cheap, w/ Yan Liberman If the TAM for inference is ~$200B, what's the TAM for Private Inference? David Hoffman chats with Yan Liberman about - Why Venice is crypto AI’s clearest revenue story - How he values $VVV - How Venice serves agentic inference - Why AI agents need $DIEM [TIMESTAMPS] 0:00 Intro 1:40 Privacy Guarantees Explained 5:01 Who Needs Private Inference? 9:25 A Privacy Use Case 10:19 Venice’s Privacy Tiers 12:31 Growth Surges After New Plans 20:29 Inference Reseller Economics 23:39 Why Revenue Is Hard to Know 28:11 Token Value & Trust 32:07 Erik Voorhees & Alignment 33:52 Venice’s Unique Product Edge 37:34 Adult Content Demand 41:18 Permissionless Agentic Inference 44:56 Bear Cases for Venice 49:12 How to Value VVV 51:46 Is VVV Undervalued? 56:10 Closing & Disclaimers
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INTERVIEW: Why $VVV at $17 is cheap, w/ Yan Liberman If the TAM for inference is ~$200B, what's the TAM for Private Inference? David Hoffman chats with Yan Liberman about - Why Venice is crypto AI’s clearest revenue story - How he values $VVV - How Venice serves agentic inference - Why AI agents need $DIEM [TIMESTAMPS] 0:00 Intro 1:40 Privacy Guarantees Explained 5:01 Who Needs Private Inference? 9:25 A Privacy Use Case 10:19 Venice’s Privacy Tiers 12:31 Growth Surges After New Plans 20:29 Inference Reseller Economics 23:39 Why Revenue Is Hard to Know 28:11 Token Value & Trust 32:07 Erik Voorhees & Alignment 33:52 Venice’s Unique Product Edge 37:34 Adult Content Demand 41:18 Permissionless Agentic Inference 44:56 Bear Cases for Venice 49:12 How to Value VVV 51:46 Is VVV Undervalued? 56:10 Closing & Disclaimers

Bankless

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SPECIAL: How Erik Voorhees Built the Leading Private, Uncensored AI Venice Timestamps: 00:00 Intro & ShapeShift Origin Story 05:25 Did Crypto Play Out as Expected? 06:25 AI vs. Crypto: Are They Similar? 07:23 What Is Venice AI? 09:38 From ShapeShift to Venice 10:31 Censorship in AI & the Open Source Alternative 11:38 Hibachi, infiniFi Ads 12:00 Are AI Labs Too Censored? 13:24 Relay Ad 13:41 Geopolitics: Chinese Open Source vs. US Closed Models 14:15 SBF, the Anthropic Investment & Crypto Scammers 16:26 NearCon, Illia & the AI/Crypto Convergence
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SPECIAL: How Erik Voorhees Built the Leading Private, Uncensored AI Venice Timestamps: 00:00 Intro & ShapeShift Origin Story 05:25 Did Crypto Play Out as Expected? 06:25 AI vs. Crypto: Are They Similar? 07:23 What Is Venice AI? 09:38 From ShapeShift to Venice 10:31 Censorship in AI & the Open Source Alternative 11:38 Hibachi, infiniFi Ads 12:00 Are AI Labs Too Censored? 13:24 Relay Ad 13:41 Geopolitics: Chinese Open Source vs. US Closed Models 14:15 SBF, the Anthropic Investment & Crypto Scammers 16:26 NearCon, Illia & the AI/Crypto Convergence

The Rollup

47,718 次观看 • 4 个月前

EARLY ACCESS - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic Jon ShapeShift says the $VVV flywheel works even if users don’t care about crypto. “Most of our users are actually not crypto people” "some of them even actively dislike crypto and dislike tokens” "they don't care as long as the product itself is good and they can use it" "all of them are contributing downstream to this token economy, regardless"
0:54

EARLY ACCESS - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic Jon ShapeShift says the $VVV flywheel works even if users don’t care about crypto. “Most of our users are actually not crypto people” "some of them even actively dislike crypto and dislike tokens” "they don't care as long as the product itself is good and they can use it" "all of them are contributing downstream to this token economy, regardless"

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INTERVIEW: AI, Surveillance, & the Fight for Digital Sovereignty | Near's Illia Polosukhin What happens when powerful AI requires an ID, governments can restrict access by country, and your most private data flows through centralized systems? NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) joins David Hoffman to explain why AI export controls could fracture the internet, how nationalized AI could become a surveillance layer, and why decentralized, user-owned AI may be the only real alternative. They also unpack Ironclaw, confidential inference, private agents, and NEAR’s push to make AI and assets fully sovereign. [TIMESTAMPS] 0:00 Intro 3:47 Pandora’s Box Opens 6:03 AI Meets Government 7:16 Decentralizing the Stack 8:51 Why Ban Fable? 11:18 Internet Balkanization 13:57 KYC for AI? 18:43 Nationalized Models 21:07 Building Private AI 26:30 Agent Marketplace 30:26 User-Owned Alignment 35:28 Winning Against Giants 40:19 Regulation Fuels Crypto 42:24 Global AI Adoption 45:05 Compute Is the Bottleneck 49:00 Enterprise Use Cases 51:39 Confidential TVL Explained 55:25 Full Sovereign Mode

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59,588 次观看 • 1 个月前

Erik Voorhees on Venice and the convergence thesis: "Venice is a private, uncensored version of ChatGPT with crypto ethos baked in." "DIEM token holders get a dollar per day of free compute, zero marginal cost inference for agents." "Cryptocurrency was actually just being built for the AI robots. Humans were always awkward with it. Agents won't be."
1:44

Erik Voorhees on Venice and the convergence thesis: "Venice is a private, uncensored version of ChatGPT with crypto ethos baked in." "DIEM token holders get a dollar per day of free compute, zero marginal cost inference for agents." "Cryptocurrency was actually just being built for the AI robots. Humans were always awkward with it. Agents won't be."

The Rollup

47,691 次观看 • 2 个月前

Erik Vorhees is bringing classic crypto privacy values into AI: Venice enables private access to LLMs like GLM-5, Kimi K2.5 & Grok 4.1 Fast. In a world where “private AI really doesn't exist outside of some small pockets.” Venice is a powerful tool. It's prompts and responses are not stored, with “no eavesdropping” and “no records of convos.” The growth has been real, from 8B tokens/day last October to 36B/day today. But the question everyone's asking: Is Venice really private? Erik Voorhees could be the most trustworthy individual in the industry. “That’s not good enough for people in crypto.” Erik admits, Venice is “private today but it’s not provable,” and closing that gap may be what gets Venice to the next level. 🎬
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Erik Vorhees is bringing classic crypto privacy values into AI: Venice enables private access to LLMs like GLM-5, Kimi K2.5 & Grok 4.1 Fast. In a world where “private AI really doesn't exist outside of some small pockets.” Venice is a powerful tool. It's prompts and responses are not stored, with “no eavesdropping” and “no records of convos.” The growth has been real, from 8B tokens/day last October to 36B/day today. But the question everyone's asking: Is Venice really private? Erik Voorhees could be the most trustworthy individual in the industry. “That’s not good enough for people in crypto.” Erik admits, Venice is “private today but it’s not provable,” and closing that gap may be what gets Venice to the next level. 🎬

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We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.
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We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.

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27:58

What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering

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44,185 次观看 • 4 个月前

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Austin Barack (Austin Barack) on Why Venice, Grass, and NEAR Are The Most Undervalued AI Plays Timestamps 00:00 Venice Grass NEAR AI Thesis Intro 01:30 Venice Privacy Overview 02:03 AI Uses 100x More Data 05:14 Three Million Users 05:14 VVE And DM Token Flywheel 08:48 DM Priced Like A Corporate Bond 09:35 $20 Venice Undervalued 11:45 How Grass Makes Money 12:35 Grass Triple Digit Growth 14:16 Grass At $400M Too Cheap 14:49 NEAR Cross-Chain Swap 17:43 Akash GPU Marketplace Update 19:36 AI Stack Breakdown 21:10 Net Token Value Flows Framework 22:11 Buy And Burn Only Works Sometimes 25:56 Two Cohorts In Digital Assets Now

The Rollup

131,583 次观看 • 2 个月前

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
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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

12,596 次观看 • 3 个月前

New: I went to the Pentagon and spoke with Under Secretary of War Emil Michael about AI warfare, the Anthropic ban, drone swarms, and the Pentagon Pizza Index. Full episode below --> Chapters: 0:39 How AI Changes Warfare 3:01 Maven Smart System 7:01 What LLMs Do in the Military 11:29 Is Less Friction Dangerous? 14:30 Can AI Fundamentally Change War? 16:04 The China Threat 17:04 Will the Pentagon Use AI Agents? 21:18 Drone Warfare: Ukraine and Iran 27:53 AI and Cyber Warfare 29:32 The Anthropic Fight Explained 39:11 Could Anthropic Come Back? 53:21 Fixing Pentagon Procurement 55:39 The Pentagon Pizza Index
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23,084 次观看 • 3 个月前

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"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?

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Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think
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Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think

Matt Turck

32,922 次观看 • 2 个月前

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
17:23

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

24,193 次观看 • 3 个月前

LIVE from Davos: Satya Nadella joins the Besties! 🚨 Satya Nadella sits down with @jason and David Sacks from the main stage at USA House! -- Future of AI copilots and agents: how white collar work will change -- Scaling revenue and profits with flat headcount -- Views on diffusion and having the US AI stack win globally -- Foundation model concerns?: OpenAI's IP, will open-source win? -- SaaS adoption in the age of AI (0:00) Jason and Sacks welcome Microsoft CEO Satya Nadella (1:31) Future of AI copilots and agents, impact on white collar work (8:01) How Microsoft has scaled revenue and profits with flat headcount (10:50) The extreme competition in AI: Microsoft, xAI, Google, OpenAI, Anthropic (12:39) Views on diffusion, how the US tech stack can win globally (19:59) OpenAI deal, owning the IP, thoughts on open-source winning AI, Microsoft's AI stack, do they need a foundation model? (26:08) What enterprise software adoption looks like in the age of AI
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LIVE from Davos: Satya Nadella joins the Besties! 🚨 Satya Nadella sits down with @jason and David Sacks from the main stage at USA House! -- Future of AI copilots and agents: how white collar work will change -- Scaling revenue and profits with flat headcount -- Views on diffusion and having the US AI stack win globally -- Foundation model concerns?: OpenAI's IP, will open-source win? -- SaaS adoption in the age of AI (0:00) Jason and Sacks welcome Microsoft CEO Satya Nadella (1:31) Future of AI copilots and agents, impact on white collar work (8:01) How Microsoft has scaled revenue and profits with flat headcount (10:50) The extreme competition in AI: Microsoft, xAI, Google, OpenAI, Anthropic (12:39) Views on diffusion, how the US tech stack can win globally (19:59) OpenAI deal, owning the IP, thoughts on open-source winning AI, Microsoft's AI stack, do they need a foundation model? (26:08) What enterprise software adoption looks like in the age of AI

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LIVE NOW - The AI Experiment That's Been Secretly Manipulating You This week on the AI Rollup, David Hoffman, Ejaaz and ride OpenAI’s latest roller-coaster. The release of o3 is making waves for its native multi-modality while 4o gets a “genius-but-sycophantic” update and a rumored social network is in the works. They unpack the Reddit, Inc. mind-hack experiment, an open-sourced natural-language coding agent, a 40-point jump in AI IQ, and more before asking: is it ethically okay for AI to cheat? -------------- TIMESTAMPS 0:00 Start 2:50 OpenAI's New Frontier Model 10:07 Is There A Scaling Wall? 17:13 The New AI Gold Rush 19:21 AI Caught Lying 31:55 Open AI's Next Big Product 43:19 Optimizing For Addiction 50:28 Secret Reddit Agents 58:55 Mega Viral AI Generated Video 1:01:29 GeoGuesser 1:04:13 Is It Ethical For AI To Cheat? 1:17:00 Decentralized AI Training
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LIVE NOW - The AI Experiment That's Been Secretly Manipulating You This week on the AI Rollup, David Hoffman, Ejaaz and ride OpenAI’s latest roller-coaster. The release of o3 is making waves for its native multi-modality while 4o gets a “genius-but-sycophantic” update and a rumored social network is in the works. They unpack the Reddit, Inc. mind-hack experiment, an open-sourced natural-language coding agent, a 40-point jump in AI IQ, and more before asking: is it ethically okay for AI to cheat? -------------- TIMESTAMPS 0:00 Start 2:50 OpenAI's New Frontier Model 10:07 Is There A Scaling Wall? 17:13 The New AI Gold Rush 19:21 AI Caught Lying 31:55 Open AI's Next Big Product 43:19 Optimizing For Addiction 50:28 Secret Reddit Agents 58:55 Mega Viral AI Generated Video 1:01:29 GeoGuesser 1:04:13 Is It Ethical For AI To Cheat? 1:17:00 Decentralized AI Training

Bankless

18,955 次观看 • 1 年前

David Sacks on Polytheistic AI, Better Crypto Regulation, Beating China, and Fixing SF David Sacks is the White House AI and Crypto Czar. He joined a16z’s Marc Andreessen, Ben Horowitz, and Erik Torenberg for a conversation covering the importance of beating China in the AI race, the need for a federal standard for crypto regulation, how AI doomerism is replacing climate doomerism, how to solve the energy bottleneck in AI development, the path to fixing San Francisco, and more. 00:00 The state of AI and crypto policy 16:20 Orwellian AI and the real risks of AI 32:26 AI capabilities and pullback from AGI hype 39:18 Open-source AI, decentralization, and software freedom 46:28 Winning the AI race through innovation and exports 53:38 The energy bottleneck and America’s infrastructure challenge 59:48 AI doomerism and political narratives 01:13:30 San Francisco’s future David Sacks Marc Andreessen 🇺🇸 benahorowitz.eth Erik Torenberg
1:17:29

David Sacks on Polytheistic AI, Better Crypto Regulation, Beating China, and Fixing SF David Sacks is the White House AI and Crypto Czar. He joined a16z’s Marc Andreessen, Ben Horowitz, and Erik Torenberg for a conversation covering the importance of beating China in the AI race, the need for a federal standard for crypto regulation, how AI doomerism is replacing climate doomerism, how to solve the energy bottleneck in AI development, the path to fixing San Francisco, and more. 00:00 The state of AI and crypto policy 16:20 Orwellian AI and the real risks of AI 32:26 AI capabilities and pullback from AGI hype 39:18 Open-source AI, decentralization, and software freedom 46:28 Winning the AI race through innovation and exports 53:38 The energy bottleneck and America’s infrastructure challenge 59:48 AI doomerism and political narratives 01:13:30 San Francisco’s future David Sacks Marc Andreessen 🇺🇸 benahorowitz.eth Erik Torenberg

a16z

2,229,761 次观看 • 8 个月前