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Introducing dAGI Accelerator’s first crop of graduates 🎉 300 AI startups applied. 8 were chosen. They got 2 months of hands-on mentorship and collaboration with and Delphi Labs. Now, we're thrilled to share their visions with the world: 00:00: fewsats: The easiest way for AI to use money 04:55:...

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dAGIhouse

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48,274 просмотров • 1 год назад •via X (Twitter)

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Фото профиля NEARWEEK
NEARWEEK1 год назад

@cyberFund_ @delphi_labs @fewsats !submit @nearweekbot

Фото профиля VistaShares
VistaShares1 год назад

The global AI sector is evolving rapidly, supported by advancements in technology and infrastructure. AIS offers targeted exposure to key players driving these developments.

Фото профиля Cryptrus
Cryptrus1 год назад

@cyberFund_ @delphi_labs @fewsats You made a mistake: its @nocap_so

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Dear VCs, Delphi Labs and teamed up to run our first-ever dAGI Accelerator cohort with 8 amazing teams building the future of open, unstoppable AI. After two months of relentless, product-focused progress, each team is ready to show off what they've built. Join us May 28 for a Virtual Demo Day like no other. Founders from TrueNorth, Mathlock, scade.xyz, ASIMOV, fewsats, Framework, No Cap👽, and RPS AI get up to 5 minutes to pitch… no fluff, just frontier AI. Backed by: 1️⃣ An unprecedented trio of support from the Solana and Ethereum foundations, and the Base ecosystem 2️⃣ Experts from Delphi Labs & cyber•Fund 3️⃣ 14 elite mentors including Ben Fielding at gensyn, Jasper at Hyperbolic, Tarun Chitra at Robot Ventures, Stability AI founder Emad, Sreeram Kannan at , , Rawson 🙏, Konstantin Lomashuk cyber/acc, Teng Yan and more! This is your front-row seat to the future of open and composable intelligence. Access is invite-only. DM us for an exclusive pass. The future of AI won’t be locked behind corporate firewalls. It’ll be open. And it will be unstoppable.

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Tommy

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American Optimist

140,965 просмотров • 1 месяц назад

Natalia Quintero (Natalia) runs Every 🧱’s seven-figure AI consulting practice, and she just automated her job with Claude Code. She built an AI project manager, Claudie, that cuts her weekly project management workload from 15 hours to just one. It manages the fleet of spreadsheets she uses to manage new clients, track what has been delivered and what hasn’t, and aggregate feedback to improve our services over time. A month ago she would’ve described herself as non-technical, but now she’s a ‘bonafide vibe code addict’—waking up at 6 a.m. everyday to work on Claudie before her meetings start. She’s not just personally neck-deep in AI—she’s also seen it work, and not, in the smartest enterprises in the world. As our head of consulting, she’s worked with top hedge funds, PE, firms, tech companies, and Fortune 500s to help drive AI adoption and automations. I had her on AI&I to talk about: - How to transition a big company into a truly AI-native org - Why enterprise AI adoption only goes as far as CEO adoption - How to empower AI early adopters inside your org - Why you have to carve out space to “play” with AI if you want real transformation If you’re trying to figure out how to actually put AI to work inside your company, this episode is for you. Watch below! Timestamps: Introduction: 00:00:00 Why successful AI adoption requires coordinated, top-down effort: 00:01:30 How a private equity firm reduced investment memo creation from weeks to 30 minutes: 00:07:05 The benefits of connecting AI to proprietary context: 00:13:30 The plan-delegate-assess-compound framework for engineering teams: 00:15:20 How non-technical team members are becoming vibe coding addicts: 00:17:55 Building Claudie: an AI project manager from scratch: 00:20:50 Why creative exploration time outside the 9-to-5 is essential: 00:23:00 Live demo: How Claudie automates client onboarding and tracking: 00:27:50 The human side of AI: spending less time in spreadsheets, more time with people: 00:38:40
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Natalia Quintero (Natalia) runs Every 🧱’s seven-figure AI consulting practice, and she just automated her job with Claude Code. She built an AI project manager, Claudie, that cuts her weekly project management workload from 15 hours to just one. It manages the fleet of spreadsheets she uses to manage new clients, track what has been delivered and what hasn’t, and aggregate feedback to improve our services over time. A month ago she would’ve described herself as non-technical, but now she’s a ‘bonafide vibe code addict’—waking up at 6 a.m. everyday to work on Claudie before her meetings start. She’s not just personally neck-deep in AI—she’s also seen it work, and not, in the smartest enterprises in the world. As our head of consulting, she’s worked with top hedge funds, PE, firms, tech companies, and Fortune 500s to help drive AI adoption and automations. I had her on AI&I to talk about: - How to transition a big company into a truly AI-native org - Why enterprise AI adoption only goes as far as CEO adoption - How to empower AI early adopters inside your org - Why you have to carve out space to “play” with AI if you want real transformation If you’re trying to figure out how to actually put AI to work inside your company, this episode is for you. Watch below! Timestamps: Introduction: 00:00:00 Why successful AI adoption requires coordinated, top-down effort: 00:01:30 How a private equity firm reduced investment memo creation from weeks to 30 minutes: 00:07:05 The benefits of connecting AI to proprietary context: 00:13:30 The plan-delegate-assess-compound framework for engineering teams: 00:15:20 How non-technical team members are becoming vibe coding addicts: 00:17:55 Building Claudie: an AI project manager from scratch: 00:20:50 Why creative exploration time outside the 9-to-5 is essential: 00:23:00 Live demo: How Claudie automates client onboarding and tracking: 00:27:50 The human side of AI: spending less time in spreadsheets, more time with people: 00:38:40

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12 weeks, 5 teams, Demo Day complete Wintermute Construct's first cohort just presented what they've built From 300+ applications, these teams were chosen for their ambition and conviction Watch their pitches: 00:13: RPS AI: Onchain asset management and liquidity engine for Solana 04:03: Caliber Money: Non-custodial neobrokerage unifying crypto and banking 09:02: Showdown.win: Skill-based gaming and wagering app on Solana 13:35: Canary Protocol: Oracle and bridge infrastructure for real-world assets and stablecoins 18:16: Tradevu: Onchain trade finance and payments for emerging-market SMEs Keen to learn more about what they are building? DM the teams directly

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VIBE CODING TUTORIAL: Creating a Viral Meme Mobile App Without Any Coding in 20 minutes! You can now build multi-step AI workflows on a drag and drop platform, and then connect that workflow to your vibe coded mobile app, in a single cursor prompt. This only scratches the surface on the different workflows you can create like this. IN THIS VIDEO 00:00 Intro 00:36 Overview: MultiStep AI Backend on GLIF 01:33 Using Glif as an API 03:49 The backend for our app 04:36 Structured Outputs (Important for Vibe Coding, skip if you know what these are) 06:40 Image Workflow for the meme 08:34 Let's Protototype on 11:09 Setting this up with Cursor 18:40 Testing with

Riley Brown

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Eric's message to SaaS CEOs navigating the shift to AI. Every day you hit your pre-AI plan, you're destroying value: "One of the big messages to these SaaS companies a few years ago was, get to AI or be worth 3x revenue. Those are your choices. Our whole careers we learned you lay out a plan, you execute against it relentlessly and violently and that's how you build equity value. That's what these CEOs learned pre-AI. Now, every day you hit that plan, you're destroying value. Another articulation of this is from my friend Anne Lee Skates. The CEOs who were going through this transitory period and had a business that was at hundreds of millions and they thought that they're all ready. They were working on their business from 8:00 AM to 5:00 PM and then trying to do AI from 5:00 to 8:00 in the evenings. What they needed to be doing was the inverse."
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Eric's message to SaaS CEOs navigating the shift to AI. Every day you hit your pre-AI plan, you're destroying value: "One of the big messages to these SaaS companies a few years ago was, get to AI or be worth 3x revenue. Those are your choices. Our whole careers we learned you lay out a plan, you execute against it relentlessly and violently and that's how you build equity value. That's what these CEOs learned pre-AI. Now, every day you hit that plan, you're destroying value. Another articulation of this is from my friend Anne Lee Skates. The CEOs who were going through this transitory period and had a business that was at hundreds of millions and they thought that they're all ready. They were working on their business from 8:00 AM to 5:00 PM and then trying to do AI from 5:00 to 8:00 in the evenings. What they needed to be doing was the inverse."

Patrick OShaughnessy

73,683 просмотров • 1 месяц назад

Guillermo Rauch (Guillermo Rauch) is one of the most prolific coders of this generation. But he doesn’t think of himself as a coder anymore. Coding, he says, is a specific skill that AI is becoming great at. Instead, he thinks the future of coding is more holistic, full-stack engineers who can ideate, design, and execute all together. Guillermo is the founder and CEO of Vercel (Vercel), the creator of NextJS, and SocketIO. We spent an hour talking about the future of software development in an AI world—and the meta-skills that are essential for the coders of today to master—in order to use tomorrow’s tools to their fullest extent. Here are a few takeaways: - One of the most important keys to his success is taste—and developing taste is all about paying better attention to everything you experience day to day. - He’s great at recognizing bleeding-edge technologies with extremely practical applications but that have bad user experiences. If you can learn to recognize those and build with them, you might build the next NextJs or SocketIO. - Why prototype cultures are becoming common in AI—and the benefits of written cultures like Amazon vs. prototype cultures like Apple for different kinds of companies. - For developers building frameworks, always put the product first; a framework in isolation without a “customer zero” is never going to be a good tool. - The theory of “recursive founder mode”—if you want to build a scalable business, you have to scale yourself by creating an atmosphere that nurtures talent and ambition. - AI tools are shifting software toward consumption-based billing models, making us capital allocators who decide how much compute the AI consumes. - The future of AI is agents with the taste, knowledge, and tools to perform specialized tasks. Watch below! Timestamps: Introduction: 00:01:33 How to spot trends early: 00:03:18 Why you should be your own customer: 00:07:34 How to create an ecosystem of talent and ambition: 00:14:55 Why Guillermo doesn't identify as a coder: 00:17:29 AI is gearing us toward an allocation economy: 00:20:50 How Vercel’s copilot compares with other coding agents: 00:28:34 Guillermo’s advice on having better taste: 00:40:35 The future of AI agents is specialized: 00:42:46 How AI startups can compete with big tech: 00:47:50
56:15

Guillermo Rauch (Guillermo Rauch) is one of the most prolific coders of this generation. But he doesn’t think of himself as a coder anymore. Coding, he says, is a specific skill that AI is becoming great at. Instead, he thinks the future of coding is more holistic, full-stack engineers who can ideate, design, and execute all together. Guillermo is the founder and CEO of Vercel (Vercel), the creator of NextJS, and SocketIO. We spent an hour talking about the future of software development in an AI world—and the meta-skills that are essential for the coders of today to master—in order to use tomorrow’s tools to their fullest extent. Here are a few takeaways: - One of the most important keys to his success is taste—and developing taste is all about paying better attention to everything you experience day to day. - He’s great at recognizing bleeding-edge technologies with extremely practical applications but that have bad user experiences. If you can learn to recognize those and build with them, you might build the next NextJs or SocketIO. - Why prototype cultures are becoming common in AI—and the benefits of written cultures like Amazon vs. prototype cultures like Apple for different kinds of companies. - For developers building frameworks, always put the product first; a framework in isolation without a “customer zero” is never going to be a good tool. - The theory of “recursive founder mode”—if you want to build a scalable business, you have to scale yourself by creating an atmosphere that nurtures talent and ambition. - AI tools are shifting software toward consumption-based billing models, making us capital allocators who decide how much compute the AI consumes. - The future of AI is agents with the taste, knowledge, and tools to perform specialized tasks. Watch below! Timestamps: Introduction: 00:01:33 How to spot trends early: 00:03:18 Why you should be your own customer: 00:07:34 How to create an ecosystem of talent and ambition: 00:14:55 Why Guillermo doesn't identify as a coder: 00:17:29 AI is gearing us toward an allocation economy: 00:20:50 How Vercel’s copilot compares with other coding agents: 00:28:34 Guillermo’s advice on having better taste: 00:40:35 The future of AI agents is specialized: 00:42:46 How AI startups can compete with big tech: 00:47:50

Dan Shipper 📧

187,070 просмотров • 1 год назад

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
1:04:51

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 просмотров • 1 год назад

🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?
57:41

🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?

Matt Turck

93,055 просмотров • 1 месяц назад