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1:10:19ENThe Robot That Folded the Laundry: Physical Intelligence’s Three FrontiersPresenta: 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.
1:07:35ENWhy AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the LoopPresenta: 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.
1:11:50ENData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelPresenta: 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.
1:24:01ENFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models SmarterPresenta: 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.
15:43ENInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyInvitado: MIT-AVT · Presenta: Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
1:19:56ENAnalytics With a Seat at the Table: How DoorDash Builds a Centralized Data TeamInvitado: Jessica Lachs · Presenta: 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.
11:29ENWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenPresenta: Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
1:09:51ENFrom Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four MonthsInvitado: Garrett Lord · Presenta: 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.
45:12ENInside 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.









