絞り込み結果
24 件並び順
34:51EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月27日ポッドキャスト · 2 人Google Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.ホスト 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.
39:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年11月19日ポッドキャスト · 2 人500 Gloves, 10 Million Trajectories, and a $10,000 Home Robotホスト 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.
48:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年11月13日ポッドキャスト · 2 人A New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to Threeホスト 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.
32:59ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日ポッドキャスト · 2 人A Hundred People, a Billion in Revenue, and Zero Venture Moneyホスト 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.
40:54ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年4月17日ポッドキャスト · 2 人Discovery rates collapsed tenfold. KoBold still found a 5% copper depositホスト Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.
35:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年3月20日ポッドキャスト · 2 人Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.ホスト Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.
57:41ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年2月25日ポッドキャスト · 2 人A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Momentホスト Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.
39:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日ポッドキャスト · 2 人JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.ホスト Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.
38:48ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年1月31日ポッドキャスト · 2 人Shopify Built a Copilot, Not an Autopilot, for Every Merchantホスト Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.
40:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年1月25日ポッドキャスト · 2 人99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses Firstホスト Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.
37:01ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年9月28日ポッドキャスト · 2 人DNA Is Code, but You Compile It with a Pipetteホスト Sarah Guo, Elad GilGinkgo Bioworks CEO Jason Kelly tells No Priors why cells are worth the magic, why biology has no AWS, and why a pandemic should look like cybersecurity.
51:22ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年6月29日ポッドキャスト · 2 人Three IPOs Later, Frank Slootman Still Thinks the Job Is Urgencyホスト Sarah Guo, Elad GilSnowflake's CEO tells No Priors how he picked the right elevator, turned a 15-person backup startup into an EMC acquisition, and why a data lake is a landfill you should not train on.
3:15:07EN
Lex Fridman· 2023年6月18日ポッドキャスト · 2 人Wikipedia Worked Once Writing Stopped Feeling Like Grad Schoolゲスト Jimmy Wales · ホスト Lex FridmanJimmy Wales tells Lex Fridman how Nupedia's seven-stage review died, why Wikipedia still refuses ads and governments, and what large language models should actually do with an encyclopedia.
2:31:48ENLex Fridman· 2021年12月28日ポッドキャスト · 2 人A Car That Cannot Drive Itself Will Be About as Useful as a Horseゲスト Elon Musk · ホスト Lex FridmanIn a Lex Fridman conversation built around Tesla Autopilot, Elon Musk argues that every driver input is an error, that today’s hardware is already enough for full self-driving, and that watching the human will soon matter less than making the system safer than a person.
1:28:46ENLex Fridman· 2021年1月4日ポッドキャスト · 2 人The Speech Company That Gets Paid to Label Its Own Training Dataゲスト Dan Kokotov · ホスト Lex FridmanRev VP of engineering Dan Kokotov tells Lex Fridman why a $1.25-a-minute human transcript, a 14% machine word-error rate, and a two-sided freelancer market are the same flywheel.
1:12:03ENLex Fridman· 2020年5月5日ポッドキャスト · 2 人Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dishゲスト Daphne Koller · ホスト Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.
1:17:29ENLex Fridman· 2019年9月23日ポッドキャスト · 2 人The Algorithm Is Already Better. The Clinic Still Uses 1967.ゲスト Regina Barzilay · ホスト Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.
57:44ENLex Fridman· 2019年8月1日ポッドキャスト · 2 人Kevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others Earnゲスト Kevin Scott · ホスト Lex FridmanMicrosoft's CTO talks radical markets, data dignity, Dunbar's number, and why a platform fails if only a handful of companies decide what AI is for.
32:45ENLex Fridman· 2019年4月12日ポッドキャスト · 2 人Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminateゲスト Elon Musk · ホスト Lex FridmanAfter MIT published a study of functional vigilance on Autopilot, Lex Fridman sat down with Musk to argue about cameras on drivers, fleet data, and whether humans still belong in the loop.
1:21:35EN
Lenny's Podcastポッドキャスト · 2 人Look Outside the Building: Shaun Clowes on Why Most PMs Fall Short and How AI Changes the Jobゲスト Shaun Clowes · ホスト Lenny RachitskyConfluent's chief product officer explains how to become a far better product manager, why data matters more than models, and what AI will and won't do to SaaS.
1:07:08ENLenny's Podcastポッドキャスト · 2 人If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Riseゲスト Brendan Foody · ホスト Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.
1:10:32ENLenny's Podcastポッドキャスト · 2 人A Billion Dollars, No VC, Under 100 People: Surge AI's Edwin Chen on Data Quality and Where AI Is Headingゲスト Edwin Chen · ホスト Lenny RachitskySurge AI's founder explains how a bootstrapped team built the leading human-data company, why he distrusts benchmarks, and how reinforcement learning environments are the next frontier.
1:19:56ENLenny's Podcastポッドキャスト · 2 人Analytics With a Seat at the Table: How DoorDash Builds a Centralized Data Teamゲスト Jessica Lachs · ホスト Lenny RachitskyDoorDash analytics chief Jessica Lachs explains why she keeps data scientists in one central org, how she hires for curiosity, and how she picks metrics that actually move a business.
1:09:51ENLenny's Podcastポッドキャスト · 2 人From Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four Monthsゲスト Garrett Lord · ホスト Lenny RachitskyHandshake CEO Garrett Lord explains what expert data labeling actually involves and how a decade-old student network became a supplier to seven frontier AI labs.