Ergebnisse
98 ArtikelSortieren
1:21:35EN
Lenny's PodcastPodcast · 2 StimmenLook Outside the Building: Shaun Clowes on Why Most PMs Fall Short and How AI Changes the JobGast: Shaun Clowes · Moderation: 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.
1:03:59EN
Cognitive Revolution "How AI Changes Everything"PodcastBuilding a World Model of Life: Biohub's Alex Rives on Why Better Measurement Must Come Before Virtual CellsModeration: Nathan LabenzBiohub's head of science explains why today's virtual cell models fall short, how a $1.8 billion data push aims to fix it, and what a five-year information-level model of the cell could unlock.
1:07:08ENLenny's PodcastPodcast · 2 StimmenIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseGast: Brendan Foody · Moderation: 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 PodcastPodcast · 2 StimmenA Billion Dollars, No VC, Under 100 People: Surge AI's Edwin Chen on Data Quality and Where AI Is HeadingGast: Edwin Chen · Moderation: 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.
1:10:19EN
Unsupervised Learning: With Jacob EffronPodcastThe Robot That Folded the Laundry: Physical Intelligence’s Three FrontiersModeration: Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.
1:07:35EN
Lex FridmanPodcastWhy AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the LoopModeration: Lex FridmanIn MIT 6.S093's opening lecture, Lex Fridman lays out five research areas of human-centered AI, from machine teaching to arguing machines that flag their own uncertainty.
1:11:50ENLex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelModeration: Lex FridmanIn an MIT lecture, Lex Fridman shows how deep learning can sense pedestrians, driver posture, gaze, emotion and cognitive load, and why that matters for human-centered autonomy.
1:24:01ENLenny's PodcastPodcastFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models SmarterModeration: Lenny RachitskyJason Droege explains what really happened with Meta's investment in Scale AI, how data labeling turned into expert work, and what Uber Eats taught him about building businesses.
15:43ENLex FridmanPodcast · 2 StimmenInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyGast: MIT-AVT · Moderation: Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
1:19:56ENLenny's PodcastPodcast · 2 StimmenAnalytics With a Seat at the Table: How DoorDash Builds a Centralized Data TeamGast: Jessica Lachs · Moderation: 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.
11:29ENLex FridmanPodcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenModeration: Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
1:09:51ENLenny's PodcastPodcast · 2 StimmenFrom Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four MonthsGast: Garrett Lord · Moderation: 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.
45:12EN
Sequoia CapitalPodcastInside a Robot Data Factory: How Mecka Sensorizes Humans to Train RobotsMecka AI founder Josh Gao explains how a company collects, quality-checks and licenses egocentric human data, and why robotics will arrive as a steady unlock of tasks rather than a single breakthrough.