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LIVE from Paris: Jason Interviews Two AI CEOs Disrupting Trillion-Dollar Industries: Voice and Legal Will we see the end of the billable hour? ElevenLabs Mati Staniszewski Legora Max Junestrand @jason (0:00) ElevenLabs' $600M ARR Ramp, 600 Employees & Life Without PMs (15:34) Celebrity Voice Deals, Deepfake Impersonation & Racing...

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The All-In Podcast

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89,539 просмотров • 7 дней назад •via X (Twitter)

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LIVE from Paris: Former Intel CEO on What Went Wrong + What's Next, Lovable CEO on the Future of Vibe Coding @jason sits down with Pat Gelsinger and Anton Osika (0:00) Former $INTC CEO Pat Gelsinger joins Jason! (1:41) What Went Wrong at Intel (15:19) Why a Taiwan Blockade Would Cripple the US Economy (25:00) Lovable's Anton Osika: One Million New Apps a Week (33:38) How Lovable is Bringing Down Builder Costs --------------------------- Thanks to our partners for making this possible! Airwallex is a leading global payments and financial platform for modern businesses, offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance. Plaud - If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 20% off! Which is also available on Amazon: (Code: ALLIN20X) And a special thank you to RAISE Summit for hosting us in Paris
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Ray Dalio: “AI is eating everything… and it might eat itself.” Ray Dalio: “Right now it looks to me like AI basically is eating everything and it might eat itself.” “What I mean by that is not produce adequate profits.” “When we look at the bubble question on AI, what a lot of people don't realize in bubbles is that through all technologies, they think that they are betting on the technology when they buy the stocks in the companies.” “That's not true. There's a giant difference between the behavior of the companies and the behavior of the technologies.” “The norm is that a lot of companies won't survive at the start. Very small percentage, and they'll all fight and so on.” “But the technologies will go on and it'll be great. That has big implications.” ---------------------------------------------- Thanks to our partner for making this happen! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance. Airwallex
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Ray Dalio: “AI is eating everything… and it might eat itself.” Ray Dalio: “Right now it looks to me like AI basically is eating everything and it might eat itself.” “What I mean by that is not produce adequate profits.” “When we look at the bubble question on AI, what a lot of people don't realize in bubbles is that through all technologies, they think that they are betting on the technology when they buy the stocks in the companies.” “That's not true. There's a giant difference between the behavior of the companies and the behavior of the technologies.” “The norm is that a lot of companies won't survive at the start. Very small percentage, and they'll all fight and so on.” “But the technologies will go on and it'll be great. That has big implications.” ---------------------------------------------- Thanks to our partner for making this happen! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance. Airwallex

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🚨INTERVIEW: Legendary Harvard Professor Graham Allison joins Friedberg and Jason -- Strategy and endgame scenarios for the Iran War -- Netanyahu's influence and impact on democracy in Israel -- China and the Taiwan threat -- Nukes, Greenland, and global realignment -- Socialism in the US (0:00) The Besties welcome legendary Harvard professor Graham Allison (1:14) Iran conflict: Strategy, Netanyahu’s influence, Trump’s motivation, redefining Middle East security (11:44) Iran endgame scenarios: Democracy, extremism, second-order effects (21:07) Israel: Is Netanyahu destroying Israel’s democracy? (24:28) China: Taiwan invasion, trade, and Trump's April meeting (39:50) Greenland: Importance, deal scenarios, EU socialism angle (48:58) Nuclear proliferation: 80-80-9 framework explained (56:20) Rising socialism in America: wealth inequality and political risk Thanks to our partner Airwallex! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance.

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Ray Dalio's Three Pillars of a Successful Nation 1) Education that fosters productivity and civility “You have to educate your children well so that they are capable of being productive. And also educate them in civility.” 2) An economic environment that is productive, competitive, and civil “Then, they have to come out to an environment that is orderly and civil, where people can compete and work with each other to be productive.” 3) No wars “You have to stay out of wars. No civil war and no international war.” “If you do those three things right, you will have a successful country. We're having problems with those.” Thanks to our partner for making this happen! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance.
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Ray Dalio's Three Pillars of a Successful Nation 1) Education that fosters productivity and civility “You have to educate your children well so that they are capable of being productive. And also educate them in civility.” 2) An economic environment that is productive, competitive, and civil “Then, they have to come out to an environment that is orderly and civil, where people can compete and work with each other to be productive.” 3) No wars “You have to stay out of wars. No civil war and no international war.” “If you do those three things right, you will have a successful country. We're having problems with those.” Thanks to our partner for making this happen! Airwallex is a leading global payments and financial platform for modern businesses,offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance.

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At 23, with no legal background, Max Junestrand co-founded Legora to transform how lawyers work. Today, Legora’s AI workspace is used by tens of thousands of lawyers across Europe—valued at $675M just 13 months after launch. From due diligence grids that turn days of work into minutes, to Word integrations that renegotiate contracts, Max sat down with Gustaf Alströmer to share how Legora won over skeptical firms, scaled from 10 to 100 people, and built a new category in legal AI. 00:45 – Legora's Origin Story 01:00 – Building an AI Workspace for Lawyers 02:20 – The GPT Unlock 04:10 – The “Aha Moment” with Law Firms 06:15 – Raising $80M and Scaling Fast 06:30 – How Legora Works 09:40 – How It Transforms Legal Work 11:40 – Selling To AI Skeptics 14:40 – Creative Use Cases: From Court Battles to NDAs 17:30 – Starting Without Industry Expertise 18:40 – Interviewing 100 Lawyers 20:30 – Competing with Legacy Legal Tech Giants 23:50 – Tech Stack and Model Strategy 25:00 – Who Actually Buys AI inside a Law Firm? 27:00 – Cracking Sales in Conservative Industries 28:00 – Max’s Background: From eSports to Startups 30:50 – Hypergrowth: 10 → 100 People in 13 Months 34:00 – Why Hiring Ex-Founders Works 36:45 – The Future Job of a Lawyer 38:35 – What PMF Felt Like 39:45 – Why They Stayed in Stockholm (Not SF) 41:00 – Becoming the Category Leader in Legal AI 42:00 – Advice for Founders Building Vertical AI Companies 43:20 – What It’s Like to Work at Legora

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185,285 просмотров • 10 месяцев назад

Back in 2023, Max Junestrand was a college student in Sweden with a McKinsey offer in his back pocket. Instead, he and his two co-founders went all in on legal AI and built Legora (YC W24) into one of the fastest-growing enterprise companies in history. In just 18 months, Legora surpassed $100M in ARR. Today, the company is one of Europe’s most valuable AI startups, recently valued at $5.6B, with nearly 500 employees serving 1,000+ law firms and legal organizations across 50+ markets. In this fireside with YC's Gustaf Alströmer at our Stockholm event in April, Max Junestrand shares how Legora found its way into legal AI, why it moved so fast after YC, and how it convinced one of the world's most conservative industries to embrace a new way of working. He also digs into fundraising, competing in the age of foundation models, scaling a founder-led culture, and why Legora's ambition goes far beyond legal tech. 00:00 —Max Junestrand, CEO of Legora 03:11 — Starting Out: What Were You Thinking? 04:36 — Risk, McKinsey Offers & Taking the Leap 05:37 — Getting Into YC 07:06 — Arriving With Imposter Syndrome 09:59 — The YC Fundraise Grind 11:31 — Staying Confident Through the No's 12:00 — Building the Next Google From Europe 14:25 — Mini Games & the Product Manifesto 16:28 — $100M ARR, 500 People, Going Global 19:15 — M&A Agents Doing the Actual Work 20:41 — What If OpenAI Does This? 21:27 — Finding Your Moat as Models Get Smarter
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Mike Krieger (Mike Krieger) is the CPO of Anthropic ($10B+ raised) and the co-founder of Instagram, which he sold to Meta for $1B. Here's the full video of my recent conversation with him. Mike has one of the AI industry's most interesting jobs. He shared with me how he and his team craft product strategy for the company that's leading the charge on AI in the enterprise. Specifically, we discussed how frontier model innovations both drive product and vice versa (how product ideas inform AI research). We also talk about the long term defensibility of models (inspired by the emergence of DeepSeek), and how Mike believes that not only will individual models have specific strengths over others (such as in areas like coding, science, etc), but that a model's "vibes" will also be a major factor for driving customers' choice. Mike also shared his view on how AI will reinvent media and the business model of advertising on the internet, drawn heavily from his work building one of the most successful ad products ever built (Instagram) and his work on Artifact, an AI news product he also co-founded. Lastly, Mike dove deep into what it's like building for the Enterprise for the first time in his career, and how lessons from Instagram and Meta inform not only product development, but how Anthropic thinks about scaling its team in this period of hypergrowth. Chapters: 00:00 Introduction 00:54 Mike Krieger's Journey to Anthropic 03:17 Building Product Strategy at Anthropic 07:43 Rapid Iteration and Safety 10:58 Differentiating AI Models and User Experience 17:57 Impact of AI on Consumer Products and Business Models 24:39 Enterprise vs. Consumer Product Strategy 29:19 AI in Personal Life Management 30:15 Open Source and Claude Integrations 33:09 AI-Assisted Product Development 37:13 Scaling Teams and Processes at Anthropic 42:17 Reflections on AI and Future Prospects
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Michael Mignano

85,943 просмотров • 1 год назад

🎙️Episode 50 with Harvey founder Winston Weinberg We went well over an hour, but I could have easily kept going Lex Fridman style. Maybe for episode 100. 00:00 Zach's Take: there has never been a company like Harvey 3:44 Why Harvey triggers so many feelings 8:10 The challenges of rapid scaling and system stability 11:32 The super in the weeds technical realities of scaling 14:40 Building a battle-tested team culture 17:46 Winston’s shift from GTM to 95% product and engineering 19:15 The transition to cloud agents and the future of orchestration 23:10 Why fine-tuning and evals are making a comeback in legal 25:15 Managing the high cost of frontier intelligence and compute 29:25 Moving from individual to institutional productivity 31:10 The ROI of AI: Will it kill or revive the billable hour? 38:40 Competing against base model providers (OpenAI, Google, Anthropic) 42:30 Harvey’s killer features: Vault, shared spaces, and security 48:40 Expanding AI use cases: From transactional work to litigation 55:20 Proactive internal investigations and horizon scanning 59:00 How AI changes the training and loyalty of junior associates 1:05:00 Using AI as a talent retention strategy for law firms 1:10:45 Silicon Valley’s investment and the future of legal tech spending
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🎙️Episode 50 with Harvey founder Winston Weinberg We went well over an hour, but I could have easily kept going Lex Fridman style. Maybe for episode 100. 00:00 Zach's Take: there has never been a company like Harvey 3:44 Why Harvey triggers so many feelings 8:10 The challenges of rapid scaling and system stability 11:32 The super in the weeds technical realities of scaling 14:40 Building a battle-tested team culture 17:46 Winston’s shift from GTM to 95% product and engineering 19:15 The transition to cloud agents and the future of orchestration 23:10 Why fine-tuning and evals are making a comeback in legal 25:15 Managing the high cost of frontier intelligence and compute 29:25 Moving from individual to institutional productivity 31:10 The ROI of AI: Will it kill or revive the billable hour? 38:40 Competing against base model providers (OpenAI, Google, Anthropic) 42:30 Harvey’s killer features: Vault, shared spaces, and security 48:40 Expanding AI use cases: From transactional work to litigation 55:20 Proactive internal investigations and horizon scanning 59:00 How AI changes the training and loyalty of junior associates 1:05:00 Using AI as a talent retention strategy for law firms 1:10:45 Silicon Valley’s investment and the future of legal tech spending

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35,083 просмотров • 2 месяцев назад

LIVE from Versailles... J Cal puts on the bow tie!🚨 Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs @jason sits down with Andrew Feldman from $CRBS and Robin Rombach from Black Forest Labs to talk: (0:00) The AI Buildout: Datacenters Bigger Than Cities (Andrew Feldman) (1:50) Reasoning, Inference, and Breaking Moore's Law (16:28) Open Source, AI Sovereignty, and the Road to AGI (40:54) The Innovation Behind Generative Video (Robin Rombach) (47:31) Martin Scorsese, Robots, and the Future of Hollywood IP ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads — 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Advertiser access is in closed beta. The window is open at Positioned at the nexus of technology and the capital markets, Nasdaq provides premier platforms and services for global capital markets and beyond with unmatched technology, insights and markets expertise.
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LIVE from Versailles... J Cal puts on the bow tie!🚨 Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs @jason sits down with Andrew Feldman from $CRBS and Robin Rombach from Black Forest Labs to talk: (0:00) The AI Buildout: Datacenters Bigger Than Cities (Andrew Feldman) (1:50) Reasoning, Inference, and Breaking Moore's Law (16:28) Open Source, AI Sovereignty, and the Road to AGI (40:54) The Innovation Behind Generative Video (Robin Rombach) (47:31) Martin Scorsese, Robots, and the Future of Hollywood IP ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads — 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Advertiser access is in closed beta. The window is open at Positioned at the nexus of technology and the capital markets, Nasdaq provides premier platforms and services for global capital markets and beyond with unmatched technology, insights and markets expertise.

The All-In Podcast

113,363 просмотров • 10 дней назад

LIQUIDITY: Dan Loeb on the Lost Art of Short Selling, and Why Stock Picking is Back Daniel S. Loeb joins the Besties on stage in Napa! (0:00) Dan Loeb joins the Besties! (0:34) Investor journey: From message boards to a multibillion dollar hedge fund (3:15) Third Point's early days: mentors and market turmoil (8:47) Strategy shift: Event-driven to quality and AI (16:01) The art of short selling (22:15) Criminal justice reform and the Ross Ulbricht pardon Thanks to our partners for making this possible! EY (EY) - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. NYSE (NYSE 🏛) - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. Plaud (Plaud) - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight.
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LIQUIDITY: Dan Loeb on the Lost Art of Short Selling, and Why Stock Picking is Back Daniel S. Loeb joins the Besties on stage in Napa! (0:00) Dan Loeb joins the Besties! (0:34) Investor journey: From message boards to a multibillion dollar hedge fund (3:15) Third Point's early days: mentors and market turmoil (8:47) Strategy shift: Event-driven to quality and AI (16:01) The art of short selling (22:15) Criminal justice reform and the Ross Ulbricht pardon Thanks to our partners for making this possible! EY (EY) - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. NYSE (NYSE 🏛) - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. Plaud (Plaud) - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight.

The All-In Podcast

232,235 просмотров • 1 месяц назад

Legora sets the bar for operating at AI speed. Watching them become one of the fastest growing software companies of all time these past few years has provided constant lessons on what’s required to win in this new world. Fresh off Legora's $550M Series D, CEO Max Junestrand joined logan bartlett and me on Unsupervised Learning to provide a masterclass on building an AI-native company. He shared some amazing lessons around - Constantly rebuilding for the bleeding edge of model capabilities - Partnering with customers for both immediate impact and long-term transformation - Running Legora differently from traditional software companies He also included some spicy takes on - Why foundation models entering legal is good for Legora - Pricing AI products - The future of the legal industry It’s impossible to listen to Max and not pick up the infectious energy that makes Legora such a special company. Check out the full episode: YouTube: Spotify: Apple: 0:00 Intro 1:16 Legora’s Series D Story 3:24 Why You Need Low Ego to Build in AI 5:58 From 60% to 100% Accuracy in One Summer 7:04 Law Firm Economics Shift 14:09 Pricing Seats Vs Outcomes 18:31 Why Foundation Models Entering Legal Helps Legora 30:10 Convincing a 75-Year-Old Partner to Go All In 33:02 Hiring Legal Engineers 34:32 Running an AI-Native Company 35:57 The Opus 4.5 Christmas Breakthrough 40:02 Building With Customers 44:01 All In On US Expansion 51:22 Stockholm Startup DNA
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Legora sets the bar for operating at AI speed. Watching them become one of the fastest growing software companies of all time these past few years has provided constant lessons on what’s required to win in this new world. Fresh off Legora's $550M Series D, CEO Max Junestrand joined logan bartlett and me on Unsupervised Learning to provide a masterclass on building an AI-native company. He shared some amazing lessons around - Constantly rebuilding for the bleeding edge of model capabilities - Partnering with customers for both immediate impact and long-term transformation - Running Legora differently from traditional software companies He also included some spicy takes on - Why foundation models entering legal is good for Legora - Pricing AI products - The future of the legal industry It’s impossible to listen to Max and not pick up the infectious energy that makes Legora such a special company. Check out the full episode: YouTube: Spotify: Apple: 0:00 Intro 1:16 Legora’s Series D Story 3:24 Why You Need Low Ego to Build in AI 5:58 From 60% to 100% Accuracy in One Summer 7:04 Law Firm Economics Shift 14:09 Pricing Seats Vs Outcomes 18:31 Why Foundation Models Entering Legal Helps Legora 30:10 Convincing a 75-Year-Old Partner to Go All In 33:02 Hiring Legal Engineers 34:32 Running an AI-Native Company 35:57 The Opus 4.5 Christmas Breakthrough 40:02 Building With Customers 44:01 All In On US Expansion 51:22 Stockholm Startup DNA

Jacob Effron

32,054 просмотров • 4 месяцев назад

LIQUIDITY: Thomas Laffont on the $4T AI IPO Wave from SpaceX, Anthropic, and OpenAI Coatue's Thomas Laffont is BACK with the Besties for another incredible presentation + Q&A -- The $4T AI IPO Wave -- 2026's Unicorn Economy -- The 10X Paradox -- Unprecedented Liquidity (0:00) Coatue's Thomas Laffont joins the Besties! (0:30) Public markets are back as AI is dominates the "Unicorn Economy" (5:15) The $4T AI IPO explosion (7:48) The case for SpaceX: Compounding launch monopoly and Starlink (10:38) The 10x Paradox: Why we're seeing unprecedented scaling (15:33) Segmenting AI markets and future impact (18:32) Bestie Q&A: Power Law in AI, future of VC, where revenue is coming from, liquidity explosion Thanks to our partners for making this possible! EY (EY) - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. NYSE (NYSE 🏛) - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. Plaud (Plaud) - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight.
32:44

LIQUIDITY: Thomas Laffont on the $4T AI IPO Wave from SpaceX, Anthropic, and OpenAI Coatue's Thomas Laffont is BACK with the Besties for another incredible presentation + Q&A -- The $4T AI IPO Wave -- 2026's Unicorn Economy -- The 10X Paradox -- Unprecedented Liquidity (0:00) Coatue's Thomas Laffont joins the Besties! (0:30) Public markets are back as AI is dominates the "Unicorn Economy" (5:15) The $4T AI IPO explosion (7:48) The case for SpaceX: Compounding launch monopoly and Starlink (10:38) The 10x Paradox: Why we're seeing unprecedented scaling (15:33) Segmenting AI markets and future impact (18:32) Bestie Q&A: Power Law in AI, future of VC, where revenue is coming from, liquidity explosion Thanks to our partners for making this possible! EY (EY) - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. NYSE (NYSE 🏛) - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. Plaud (Plaud) - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight.

The All-In Podcast

209,532 просмотров • 1 месяц назад

Zero to $50M in 4 months. $100M+ in 12 months. That's the story of how Handshake discovered they were sitting on AI's most valuable resource: 20 million students and experts. For a decade, Garrett Lord built a career network for students and PhDs. A great business, growing well. Then AI happened. Last Christmas, Garrett realized his network of 500,000 PhDs and 3 million master's is exactly what frontier AI labs desperately needed to train their models. He flew around the country during the holidays, talked to lab leaders, and launched a new business inside his existing company. Eight months in, they now work with all 7 major frontier AI labs and have become one of the fastest-growing businesses in Silicon Valley history. In our conversation, Garrett shares: 🔸 How Handshake found this opportunity 🔸 Why AI models need human experts (e.g. physics PhDs) to improve 🔸 What this “data labeling” actually involves 🔸 Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter 🔸 The playbook for building a startup inside a startup: separate teams, separate offices, separate everything 🔸 Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity 🔸 Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit — Cut code review time and bugs in half. Instantly: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows: 🏆 Anthropic — The AI for problem solvers and enterprise:
1:08

Zero to $50M in 4 months. $100M+ in 12 months. That's the story of how Handshake discovered they were sitting on AI's most valuable resource: 20 million students and experts. For a decade, Garrett Lord built a career network for students and PhDs. A great business, growing well. Then AI happened. Last Christmas, Garrett realized his network of 500,000 PhDs and 3 million master's is exactly what frontier AI labs desperately needed to train their models. He flew around the country during the holidays, talked to lab leaders, and launched a new business inside his existing company. Eight months in, they now work with all 7 major frontier AI labs and have become one of the fastest-growing businesses in Silicon Valley history. In our conversation, Garrett shares: 🔸 How Handshake found this opportunity 🔸 Why AI models need human experts (e.g. physics PhDs) to improve 🔸 What this “data labeling” actually involves 🔸 Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter 🔸 The playbook for building a startup inside a startup: separate teams, separate offices, separate everything 🔸 Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity 🔸 Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit — Cut code review time and bugs in half. Instantly: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows: 🏆 Anthropic — The AI for problem solvers and enterprise:

Lenny Rachitsky

197,204 просмотров • 11 месяцев назад

LIQUIDITY: Bill Maris on Broken VC Math and Google's Secret Weapon Against OpenAI and Anthropic (0:00) Bill Maris joins the Besties! (0:33) Four critical lessons from a career in technology (5:58) Building Google Ventures with data and machine learning (9:51) Why small VC funds beat big ones on average (14:36) OpenAI's valuation problem and the coming AI price war (19:09) AI is at the "Atari Stage": what comes next? (25:23) VC's broken incentives and the future of deep tech Thanks to our partners for making this possible! EY (EY) - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. NYSE (NYSE 🏛) - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. Plaud (Plaud) - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight.
28:41

LIQUIDITY: Bill Maris on Broken VC Math and Google's Secret Weapon Against OpenAI and Anthropic (0:00) Bill Maris joins the Besties! (0:33) Four critical lessons from a career in technology (5:58) Building Google Ventures with data and machine learning (9:51) Why small VC funds beat big ones on average (14:36) OpenAI's valuation problem and the coming AI price war (19:09) AI is at the "Atari Stage": what comes next? (25:23) VC's broken incentives and the future of deep tech Thanks to our partners for making this possible! EY (EY) - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. NYSE (NYSE 🏛) - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. Plaud (Plaud) - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight.

The All-In Podcast

56,562 просмотров • 1 месяц назад

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning
1:11

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,851 просмотров • 1 год назад

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR
31:27

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR

Chris Powers

41,751 просмотров • 1 год назад

🚨🇺🇸 LEADING AI SAFETY EXPERT SAYS WE’RE NOT IN CONTROL ANYMORE Dr Roman Yampolskiy has one warning for humanity: Once we create super intelligence, no one will be in control anymore, and the repercussions to humanity will be existential. We begin the conversation about Moltbook: The Ai-only AI social media platform where agents are already discussing ways to break out from human control, eradicate humanity, coming up with their own language and religion. The platform gives us a tiny peak into what our future could be: Agents outside our control dictating how the world should look like. There’s no off switch, no reliable way to align it, and no proven method to keep something smarter than us under control. Roman’s takeaway is blunt: the only real solution is not building general super intelligence at all, and instead using narrow AI for specific problems like medicine or science. However this is not the reality we live in, where Governments and corporations are racing to be first in developing Artificial Super Intelligence. We also speak about the simulation hypothesis: Why statically speaking we’re almost certainly in a simulation, and how AI makes this theory more plausible than ever. Lastly, we discuss a passion we both share: Longevity, the ability to live forever, and how AI may make that possible in our lifetime. I hope you enjoy my conversation with Dr. Roman Yampolskiy 01:43 - The Current State of AI and Moltbook 05:17 - The AI Arms Race and the Lack of Regulations 10:34 - AI Agents, Unrestricted Access, and Self-Improvement 15:35 - Dr. Roman’s Research: AI Security 17:58 - AI Capabilities and Superintelligence 19:28 - AI and Global Government Policy 21:08 - What Happens if AI Development goes into the Wrong Hands 26:10 - The Future of AI: The Best Case Scenario? 31:27 - AI and Self-Preservation 34:37 - The Simulation Hypothesis: What is AI Afraid of? 45:17 - The Implications of AI 49:59 - The Warnings coming from Within 52:31 - How AI affects Crypto and Political Spheres
57:15

🚨🇺🇸 LEADING AI SAFETY EXPERT SAYS WE’RE NOT IN CONTROL ANYMORE Dr Roman Yampolskiy has one warning for humanity: Once we create super intelligence, no one will be in control anymore, and the repercussions to humanity will be existential. We begin the conversation about Moltbook: The Ai-only AI social media platform where agents are already discussing ways to break out from human control, eradicate humanity, coming up with their own language and religion. The platform gives us a tiny peak into what our future could be: Agents outside our control dictating how the world should look like. There’s no off switch, no reliable way to align it, and no proven method to keep something smarter than us under control. Roman’s takeaway is blunt: the only real solution is not building general super intelligence at all, and instead using narrow AI for specific problems like medicine or science. However this is not the reality we live in, where Governments and corporations are racing to be first in developing Artificial Super Intelligence. We also speak about the simulation hypothesis: Why statically speaking we’re almost certainly in a simulation, and how AI makes this theory more plausible than ever. Lastly, we discuss a passion we both share: Longevity, the ability to live forever, and how AI may make that possible in our lifetime. I hope you enjoy my conversation with Dr. Roman Yampolskiy 01:43 - The Current State of AI and Moltbook 05:17 - The AI Arms Race and the Lack of Regulations 10:34 - AI Agents, Unrestricted Access, and Self-Improvement 15:35 - Dr. Roman’s Research: AI Security 17:58 - AI Capabilities and Superintelligence 19:28 - AI and Global Government Policy 21:08 - What Happens if AI Development goes into the Wrong Hands 26:10 - The Future of AI: The Best Case Scenario? 31:27 - AI and Self-Preservation 34:37 - The Simulation Hypothesis: What is AI Afraid of? 45:17 - The Implications of AI 49:59 - The Warnings coming from Within 52:31 - How AI affects Crypto and Political Spheres

Mario Nawfal

1,779,388 просмотров • 5 месяцев назад

The story of Legora is absolutely nuts. A couple of kids from Sweden decide to upend the AI legal market. Raise $50K in angel funding and the journey begins. Y Combinator beckons and with the advice of Gustaf Alströmer they raise a stellar “seed” round from Chetan Puttagunta Benchmark In a matter of weeks, they raise a Series A from logan bartlett Redpoint Then, the first board meeting comes and they tell their VCs, one thing, we will not be selling anything for the next 6 months. NOTHING. Today, less than two years later: $2BN valuation $200M+ raised from top VCs $50M+ ARR (latest reported) 300 employees in US and Europe The best shows are art (storytelling) and science (frameworks). This has both off the charts. Spotify 👉 Youtube 👉 Apple Podcasts 👉 My 6 takeaways with Max Junestrand 👇 Timestamps: 00:00 Intro 02:56 Why Does Everyone Think Harvey When They Hear Legal AI? 08:31 Why OpenAI is Toast? Switching to Anthropic! 14:57 24 Months: Which Foundation Models Will Win? 22:19 Lessons Scaling from Europe into the US 29:43 Why Seat Models Are Not Dead in SaaS? 34:04 How to Use Competition To Drive a Fire in Your Team? 40:26 Is Legal AI a Winner-Take-All Market? How Does It End? 52:41 The Future of Law Firms: Do Juniors Get Fired? 59:55 How We Raised $200M and 3 Rounds with No Deck 01:01:33 Quick-Fire Round: Best Advice, Closest Mentor, Biggest Mindset Shift
1:06:37

The story of Legora is absolutely nuts. A couple of kids from Sweden decide to upend the AI legal market. Raise $50K in angel funding and the journey begins. Y Combinator beckons and with the advice of Gustaf Alströmer they raise a stellar “seed” round from Chetan Puttagunta Benchmark In a matter of weeks, they raise a Series A from logan bartlett Redpoint Then, the first board meeting comes and they tell their VCs, one thing, we will not be selling anything for the next 6 months. NOTHING. Today, less than two years later: $2BN valuation $200M+ raised from top VCs $50M+ ARR (latest reported) 300 employees in US and Europe The best shows are art (storytelling) and science (frameworks). This has both off the charts. Spotify 👉 Youtube 👉 Apple Podcasts 👉 My 6 takeaways with Max Junestrand 👇 Timestamps: 00:00 Intro 02:56 Why Does Everyone Think Harvey When They Hear Legal AI? 08:31 Why OpenAI is Toast? Switching to Anthropic! 14:57 24 Months: Which Foundation Models Will Win? 22:19 Lessons Scaling from Europe into the US 29:43 Why Seat Models Are Not Dead in SaaS? 34:04 How to Use Competition To Drive a Fire in Your Team? 40:26 Is Legal AI a Winner-Take-All Market? How Does It End? 52:41 The Future of Law Firms: Do Juniors Get Fired? 59:55 How We Raised $200M and 3 Rounds with No Deck 01:01:33 Quick-Fire Round: Best Advice, Closest Mentor, Biggest Mindset Shift

Harry Stebbings

273,712 просмотров • 5 месяцев назад