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53:02EN
Unsupervised Learning: With Jacob Effron播客Adobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at Scale主持 Jacob EffronAdobe's Alexandre explains how Firefly moved from research to product, how Adobe balances creative control with generative speed, and why trust and feedback loops are central to its AI strategy.产品与体验Generative mediaProduct Strategy+3
1:53:14EN
Cognitive Revolution "How AI Changes Everything"播客Worth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute Cap主持 Nathan LabenzZvi Mowshowitz and Nathan Labenz survey OpenAI's launch spree, AI pricing and bundling, data pollution, deepfakes, the reversal curse, calls to cap training compute, and Amazon's Anthropic deal.企业与战略AI StrategyProduct Strategy+3
1:03:24EN
Unsupervised Learning: With Jacob Effron播客Why Sora Bet on People, Not Just Pixels主持 Jacob EffronThe Sora team explains how a video model became a social creation network, what cameos revealed about human creativity, and why the next frontier is world simulation.多模态与媒体Generative media视觉与视频+3
1:31:52EN
Lex Fridman播客From Phonemes to CTC: How Deep Learning Rebuilt Speech Recognition主持 Lex FridmanBaidu's Adam Coates walks through the traditional speech pipeline, the CTC-based end-to-end engine that replaced much of it, and what it takes to scale and deploy it.模型与训练Deep LearningMultimodal AI+2
1:45:55EN
Cognitive Revolution "How AI Changes Everything"播客From Static Structures to Moving Molecules: Where AI for Protein Design Stands After AlphaFold 3主持 Nathan LabenzComputational biochemist Amelie Schreiber walks Nathan Labenz through six months of progress in structure prediction, molecular dynamics, peptide and antibody models, and early agent-driven design workflows.Computational BiologyAI for scienceMultimodal AI+1
1:02:57EN
Cognitive Revolution "How AI Changes Everything"播客Virtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the Clinic主持 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.多模态与媒体AI in healthcareMultimodal AI+1
23:54EN
No Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI主持 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.模型与训练微调检索增强生成+3
45:46EN
Unsupervised Learning: With Jacob Effron播客Giving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interface主持 Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.多模态与媒体语音 AIMultimodal AI+3
15:43EN
Lex Fridman播客 · 2 人对谈Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study嘉宾 MIT-AVT · 主持 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.Autonomous Driving基础设施与部署Multimodal AI+2
1:13:40EN
Unsupervised Learning: With Jacob Effron播客The Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Moment主持 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.Autonomous DrivingRoboticsMultimodal AI+3
11:29EN
Lex Fridman播客Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen主持 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.模型与训练Autonomous DrivingRobotics+3
2:02:13EN
Cognitive Revolution "How AI Changes Everything"播客Wiring Without a Vision: What OpenAI's and Google's Dueling Launches Really Signal主持 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.企业与战略AI StrategyProduct Strategy+3
1:48:13EN
Cognitive Revolution "How AI Changes Everything"播客Robotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to Origami主持 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.模型与训练RoboticsMultimodal AI+2
1:17:31EN
Cognitive Revolution "How AI Changes Everything"播客Image AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision Model主持 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.多模态与媒体Generative mediaMultimodal AI+3
43:44EN
No Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Roblox's 20-Year Bet: Building the Holodeck with Native AI Models主持 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.产品与体验Multimodal AIGenerative media+3
1:22:17EN
Cognitive Revolution "How AI Changes Everything"播客One Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM M主持 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.模型与训练AI in healthcareMultimodal AI+3
1:02:15EN
Unsupervised Learning: With Jacob Effron播客Suno’s CEO Says the Future of Music Is a Conversation, Not a Prompt主持 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.多模态与媒体Generative mediaMultimodal AI+3
45:12EN
Sequoia Capital播客Inside 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.模型与训练RoboticsData quality & curation+2