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1:02:57EN
Cognitive Revolution "How AI Changes Everything"PódcastVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the ClinicPresenta: Nathan LabenzTanishq Mathew Abraham explains how deep learning turns label-free 3D tissue images into virtual H&E stains fast enough to guide tumor surgery.
23:54EN
No Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIPresenta: Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
45:46EN
Unsupervised Learning: With Jacob EffronPódcastGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfacePresenta: Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
15:43EN
Lex FridmanPódcast · 2 vocesInside 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.
1:13:40ENUnsupervised Learning: With Jacob EffronPódcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentPresenta: Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.
11:29ENLex FridmanPódcastWhy 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.
2:02:13ENCognitive Revolution "How AI Changes Everything"PódcastWiring Without a Vision: What OpenAI's and Google's Dueling Launches Really SignalPresenta: Nathan LabenzZvi Mowshowitz and Nathan Labenz unpack the week of GPT-4o and Google I/O, from rushed demos and AI companions to the big tech singularity and the exodus from OpenAI's safety team.
1:48:13ENCognitive Revolution "How AI Changes Everything"PódcastRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to OrigamiPresenta: Nathan LabenzGoogle DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao explain how Gemini Robotics works, what it can and cannot do, and where the field goes next.
1:17:31ENCognitive Revolution "How AI Changes Everything"PódcastImage AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision ModelPresenta: Nathan LabenzPlayground AI's founder explains why image generation has barely begun to deliver real utility, and why his team is betting 2024 on editing and a single model that can create, edit and understand pixels.
43:44ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesRoblox's 20-Year Bet: Building the Holodeck with Native AI ModelsPresenta: Sarah Guo, Elad GilRoblox CEO Dave Baszucki explains how 13 billion monthly hours of 3D interaction data could power smarter NPCs, virtual doppelgängers and a cloud-native future for games.
1:22:17ENCognitive Revolution "How AI Changes Everything"PódcastOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM MPresenta: Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.
1:02:15ENUnsupervised Learning: With Jacob EffronPódcastSuno’s CEO Says the Future of Music Is a Conversation, Not a PromptPresenta: Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.
45:12EN
Sequoia CapitalPódcastInside 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.