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1:10:19EN
Unsupervised Learning: With Jacob Effron팟캐스트The Robot That Folded the Laundry: Physical Intelligence’s Three Frontiers진행자 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.모델과 학습RoboticsAI research+3
1:07:35EN
Lex Fridman팟캐스트Why AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the Loop진행자 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.모델과 학습Human-AI Collaboration머신러닝 기초+3
1:11:50EN
Lex Fridman팟캐스트Data Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the Wheel진행자 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.멀티모달과 미디어Deep Learning비전과 영상+3
1:24:01EN
Lenny's Podcast팟캐스트From Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models Smarter진행자 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.모델과 학습Company BuildingData quality & curation+3
15:43EN
Lex Fridman팟캐스트 · 2명Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study게스트 MIT-AVT · 진행자 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.Autonomous Driving인프라와 배포Multimodal AI+2
1:19:56EN
Lenny's Podcast팟캐스트 · 2명Analytics With a Seat at the Table: How DoorDash Builds a Centralized Data Team게스트 Jessica Lachs · 진행자 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.기업과 전략LeadershipHiring+3
11:29EN
Lex Fridman팟캐스트Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen진행자 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.모델과 학습Autonomous DrivingRobotics+3
1:09:51EN
Lenny's Podcast팟캐스트 · 2명From Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four Months게스트 Garrett Lord · 진행자 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.기업과 전략Data quality & curationAI startups & small teams+3
45:12EN
Sequoia Capital팟캐스트Inside 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.모델과 학습RoboticsData quality & curation+2