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39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 20 juil. 2023Podcast · 2 voixWhy AI Video Is Still a Four-Second CorgiAnime : Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.Multimodal et médiasGenerative mediaVision et vidéo+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 29 juin 2023PodcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayAnime : Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.Modèles et entraînementMultimodal AITransformers & attention+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· 20 juin 2023PodcastFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone SawAnime : Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.Multimodal et médiasNeuroscience & AIMultimodal AI+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 21 mai 2023PodcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolAnime : Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.Modèles et entraînementAI in healthcareFine-tuning+3
Diapositives5:24EN
Matthew Berman· 12 mai 2023Google I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.AI StrategyProduit et UXModèles et entraînement+1
Diapositives7:53EN
Matthew Berman· 4 avr. 2023HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.Agent orchestrationMultimodal AIModèles et entraînement+1
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Cognitive Revolution "How AI Changes Everything"· 30 mars 2023Podcast130,000 Teleop Demos: Google's GPT Playbook for RobotsAnime : Nathan LabenzKeerthana Gopalakrishnan of Google Robotics tells Nathan Labenz how RT-1, SayCan, and PaLM-E turn language-model scaling into kitchen-ready mobile manipulators.AgentsRoboticsMultimodal AI+3
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Cognitive Revolution "How AI Changes Everything"· 9 mars 2023PodcastFreeze the eyes and the brain. Train only the optic nerve.Anime : Nathan LabenzJunnan Li and Dongxu Li tell Nathan Labenz how BLIP cleaned noisy web captions, and how BLIP-2 connected a frozen vision model to a frozen language model in under ten days on one A100.Multimodal et médiasMultimodal AIVision et vidéo+3
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No Priors: AI, Machine Learning, Tech, & Startups· 16 févr. 2023Podcast · 2 voixEmad Mostaque’s bet: open small models, not one giant brainAnime : Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.Open source et communautéOpen-weight modelsMultimodal AI+3
8 diapositives1:03:29ZH
跟李沐学AI· 12 janv. 2023多模态论文串讲:BLIP、CoCa 与 BEiT-3从图文数据清理到统一预训练,梳理三种视觉语言模型的结构、目标函数与相互联系。Multimodal AIModèles et entraînementData quality & curation
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Lex Fridman· 21 sept. 2022Podcast · 2 voixA Smile Is Not Happiness: Rana el Kaliouby on Emotion AI and the Empathy CrisisInvité : Rana el Kaliouby · Anime : Lex FridmanThe Affectiva founder and Smart Eye deputy CEO talks with Lex Fridman about teaching machines to read faces, sensing drivers inside the cabin, and why she is proudest of the people her company grew.Multimodal et médiasMultimodal AIVision et vidéo+3
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Lex Fridman· 31 juil. 2021Podcast · 2 voixThe Fallacy of the Successful First StepInvité : Ishan Misra · Anime : Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.Modèles et entraînementComputer VisionMultimodal AI+3
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Lex Fridman· 17 juin 2019Podcast · 2 voixRosalind Picard: Clippy Never Saw You Frown, and That's the Whole ProblemInvité : Rosalind Picard · Anime : Lex FridmanThe MIT professor who named affective computing on emotion recognition, privacy, seizure-detecting wearables, and why a device you can take off is safer than a camera you cannot see.Multimodal et médiasSécurité et gouvernancePrivacy & data governance+3
1:23:18EN
Cognitive Revolution "How AI Changes Everything"PodcastFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the InternetAnime : Nathan LabenzKeerthana Gopalakrishnan and Ted Xiao walk through RT-2, RT-X, RT-Trajectory, AutoRT, Learning to Learn Faster and PIVOT, and say what is still missing for general-purpose robots.Modèles et entraînementRoboticsMultimodal AI+3
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Unsupervised Learning: With Jacob EffronPodcastAdobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at ScaleAnime : 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.Produit et UXGenerative mediaProduct Strategy+3
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Cognitive Revolution "How AI Changes Everything"PodcastWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute CapAnime : 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.Entreprise et stratégieAI StrategyProduct Strategy+3
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Unsupervised Learning: With Jacob EffronPodcastWhy Sora Bet on People, Not Just PixelsAnime : 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.Multimodal et médiasGenerative mediaVision et vidéo+3
1:31:52EN
Lex FridmanPodcastFrom Phonemes to CTC: How Deep Learning Rebuilt Speech RecognitionAnime : 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.Modèles et entraînementDeep LearningMultimodal AI+2
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Cognitive Revolution "How AI Changes Everything"PodcastFrom Static Structures to Moving Molecules: Where AI for Protein Design Stands After AlphaFold 3Anime : 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
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Cognitive Revolution "How AI Changes Everything"PodcastVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the ClinicAnime : 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.Multimodal et médiasAI in healthcareMultimodal AI+1
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No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 voixBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIAnime : 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.Modèles et entraînementFine-tuningGénération augmentée par récupération+3
45:46EN
Unsupervised Learning: With Jacob EffronPodcastGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfaceAnime : Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.Multimodal et médiasIA vocaleMultimodal AI+3
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Lex FridmanPodcast · 2 voixInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyInvité : MIT-AVT · Anime : Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.Autonomous DrivingInfrastructure et déploiementMultimodal AI+2
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Unsupervised Learning: With Jacob EffronPodcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentAnime : 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
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