필터 결과
28개정렬
18:31EN
AI Engineer· 2026년 10월 25일Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.
26:41EN
Latent Space· 2026년 10월 22일팟캐스트 · 2명Anekha Sokhal on Moshi, a Recommendation Engine for Commodity Traders게스트 Anekha Sokhal · 진행자 swyxThe Moshi founder tells swyx how she would rebuild a trader’s workflow: connect market data, private files and conflicting sources, then push the second-order effects people would otherwise miss. The hard part is not the dashboard. It is getting someone to actually use it.
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.
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.
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.
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.
40:54ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025년 4월 17일팟캐스트 · 2명Discovery rates collapsed tenfold. KoBold still found a 5% copper deposit진행자 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· 2025년 3월 20일팟캐스트 · 2명Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.진행자 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· 2025년 2월 25일팟캐스트 · 2명A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Moment진행자 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· 2024년 5월 22일팟캐스트 · 2명JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.진행자 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· 2024년 1월 31일팟캐스트 · 2명Shopify Built a Copilot, Not an Autopilot, for Every Merchant진행자 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· 2024년 1월 25일팟캐스트 · 2명99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses First진행자 Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.
27:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 12월 7일팟캐스트 · 2명Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inning진행자 Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
37:01ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 28일팟캐스트 · 2명DNA Is Code, but You Compile It with a Pipette진행자 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· 2023년 6월 29일팟캐스트 · 2명Three IPOs Later, Frank Slootman Still Thinks the Job Is Urgency진행자 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· 2023년 6월 18일팟캐스트 · 2명Wikipedia Worked Once Writing Stopped Feeling Like Grad School게스트 Jimmy Wales · 진행자 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· 2021년 12월 28일팟캐스트 · 2명A Car That Cannot Drive Itself Will Be About as Useful as a Horse게스트 Elon Musk · 진행자 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· 2021년 1월 4일팟캐스트 · 2명The Speech Company That Gets Paid to Label Its Own Training Data게스트 Dan Kokotov · 진행자 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· 2020년 5월 5일팟캐스트 · 2명Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dish게스트 Daphne Koller · 진행자 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· 2019년 9월 23일팟캐스트 · 2명The Algorithm Is Already Better. The Clinic Still Uses 1967.게스트 Regina Barzilay · 진행자 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· 2019년 8월 1일팟캐스트 · 2명Kevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others Earn게스트 Kevin Scott · 진행자 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· 2019년 4월 12일팟캐스트 · 2명Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminate게스트 Elon Musk · 진행자 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 Podcast팟캐스트 · 2명Look Outside the Building: Shaun Clowes on Why Most PMs Fall Short and How AI Changes the Job게스트 Shaun Clowes · 진행자 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 Podcast팟캐스트 · 2명If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Rise게스트 Brendan Foody · 진행자 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.더 보기28개 중 24개 표시