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1:11:50EN
Lex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelHost 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.
1:24:01EN
Lenny's PodcastPodcastFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models SmarterHost 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 speakersInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyGuest MIT-AVT · Host 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 speakersAnalytics With a Seat at the Table: How DoorDash Builds a Centralized Data TeamGuest Jessica Lachs · Host 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 SeenHost 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 speakersFrom Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four MonthsGuest Garrett Lord · Host 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.