필터 결과
77개정렬
1:25:00EN
Jane Street· 2026년 9월 2일Eric Mannes on Turning Messy External Data Into Trading ResearchYaron Minsky, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.
52:27EN
Sequoia Capital· 2026년 9월 1일팟캐스트After Two Dozen Police Departments Said No, They Built an Anti-Network-Effect AI CompanyA Wisconsin county had 300 gigabytes sitting on a cold case—and Peregrine's founders still refuse to take the credit.
34:51EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 8월 27일팟캐스트 · 2명Google Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.진행자 Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.
1:05:02EN
20VC with Harry Stebbings· 2026년 8월 1일팟캐스트 · 2명Joon Sung Park on Simulating Human Behavior and Building Simile게스트 Joon Sung Park · 진행자 Harry StebbingsThe Simile co-founder explains his research on generative agents, the challenges of validating simulations, and his ambitions for a business built around modeling people.
1:02:42EN20VC with Harry Stebbings· 2026년 7월 25일팟캐스트 · 2명Mercor’s Osvald Nitski on AI Training Data, Product and Customer Concentration게스트 Osvald Nitski · 진행자 Harry StebbingsMercor’s head of product discusses how the company supplies expert data to AI labs, designs its marketplace and plans to reach more enterprise customers.
1:34:29ENJane Street· 2026년 6월 24일Jacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.
1:14:12EN20VC with Harry Stebbings· 2026년 6월 1일팟캐스트 · 2명Brendan Foody on Mercor, AI Data and the Future of Work게스트 Brendan Foody · 진행자 Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.
40:56ENSequoia Capital· 2026년 3월 10일팟캐스트Four of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 1일팟캐스트125 million cells took a decade. The next billion takes months진행자 Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
1:25:57EN20VC with Harry Stebbings· 2025년 12월 31일팟캐스트 · 2명Matt Fitzpatrick on Enterprise AI, Expert Data and Deploying What Works게스트 Matt Fitzpatrick · 진행자 Harry StebbingsInvisible Technologies’ CEO explains his approach to validating AI deployments, sourcing specialists and building customer-specific workflows.
1:18:05EN
Unsupervised Learning: With Jacob Effron· 2025년 12월 18일팟캐스트The Real Bottleneck in AI Research Is Compute, Not Ideas진행자 Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.
48:00ENUnsupervised Learning: With Jacob Effron· 2025년 12월 15일팟캐스트A Two-Second Vote Is Training Models to Be Clickbait진행자 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
1:32:38ENCognitive Revolution "How AI Changes Everything"· 2025년 12월 6일팟캐스트Polish Is 1% of Frontier Training Data, So Poland Built Its Own Model진행자 Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.
1:17:01EN20VC with Harry Stebbings· 2025년 12월 1일팟캐스트 · 2명Jonathan Siddharth on AI Training Data, Enterprise Agents and the Future of Work게스트 Jonathan Siddharth · 진행자 Harry StebbingsThe Turing CEO discusses reinforcement-learning environments, enterprise deployment and his expectations for AI-driven changes to software and employment.
39:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025년 11월 19일팟캐스트 · 2명500 Gloves, 10 Million Trajectories, and a $10,000 Home Robot진행자 Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.
41:36ENSequoia Capital· 2025년 11월 18일팟캐스트Four Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.
48:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025년 11월 13일팟캐스트 · 2명A New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to Three진행자 Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.
1:16:53ENUnsupervised Learning: With Jacob Effron· 2025년 10월 24일팟캐스트Karpathy Called Today's Models Slop. His Decade Timeline Still Sounds Bullish진행자 Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.
1:01:49ENCognitive Revolution "How AI Changes Everything"· 2025년 10월 2일팟캐스트ChatGPT's Co-Creator Left to Put Nature in the Reward Loop진행자 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
1:22:07ENCognitive Revolution "How AI Changes Everything"· 2025년 9월 25일팟캐스트Every payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%진행자 Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.
1:00:35EN20VC with Harry Stebbings· 2025년 9월 15일팟캐스트 · 2명Mercor CEO Brendan Foody on Expert Data, AI Evaluations and Growth게스트 Brendan Foody · 진행자 Harry StebbingsFoody explains Mercor’s marketplace, reported revenue run rate and views on model development, margins and company culture.
1:55:02ENCognitive Revolution "How AI Changes Everything"· 2025년 8월 30일팟캐스트A hundred experiments a day, and the valley of death in materials진행자 Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.
57:52ENUnsupervised Learning: With Jacob Effron· 2025년 8월 13일팟캐스트They Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.진행자 Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.
32:59ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025년 7월 24일팟캐스트 · 2명A Hundred People, a Billion in Revenue, and Zero Venture Money진행자 Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.더 보기77개 중 24개 표시