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102 件
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1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月9日ポッドキャストOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Senseホスト Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.エージェントAutonomous DrivingMultimodal AI+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月8日ポッドキャストDevDay Probably Created Thousands of Startups, Says OpenAI's Logan Kilpatrickホスト Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.企業と戦略Product Strategyエージェント工学+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月31日ポッドキャストThe Historian Who Taught GPT-3.5 to Beat GPT-4ホスト Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG とナレッジ検索拡張生成(RAG)ファインチューニング+3
2:17:30EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月29日ポッドキャストGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.ホスト Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.企業と戦略AI StrategyProduct Strategy+3
1:04:38EN
Lex Fridman· 2023年9月28日ポッドキャスト · 2 人Hundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the Wrinklesゲスト Mark Zuckerberg · ホスト Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.マルチモーダルとメディアProduct StrategyHuman-AI Collaboration+3
55:08EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月29日ポッドキャストOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2ホスト Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.モデルと学習Multimodal AI評価(Evals)+3
39:02EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月10日ポッドキャストAI’s product advantage is consistency. Its real weakness is getting conned.ホスト Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.企業と戦略Multimodal AIAI in healthcare+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年7月20日ポッドキャスト · 2 人Why AI Video Is Still a Four-Second Corgiホスト 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.マルチモーダルとメディアGenerative media画像と動画+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月29日ポッドキャストA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Awayホスト 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.モデルと学習Multimodal AITransformers & attention+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月20日ポッドキャストFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone Sawホスト Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.マルチモーダルとメディアNeuroscience & AIMultimodal AI+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月21日ポッドキャストTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical Schoolホスト 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.モデルと学習AI in healthcareファインチューニング+3
スライド5:24EN
Matthew Berman· 2023年5月12日Google 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 Strategyプロダクトと UXモデルと学習+1
1:29:31EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月30日ポッドキャスト130,000 Teleop Demos: Google's GPT Playbook for Robotsホスト 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.エージェントRoboticsMultimodal AI+3
1:21:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月9日ポッドキャストFreeze the eyes and the brain. Train only the optic nerve.ホスト 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.マルチモーダルとメディアMultimodal AI画像と動画+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月16日ポッドキャスト · 2 人Emad Mostaque’s bet: open small models, not one giant brainホスト 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.オープンソースとコミュニティOpen-weight modelsMultimodal AI+3
2:36:21EN
Lex Fridman· 2022年9月21日ポッドキャスト · 2 人A Smile Is Not Happiness: Rana el Kaliouby on Emotion AI and the Empathy Crisisゲスト Rana el Kaliouby · ホスト 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.マルチモーダルとメディアMultimodal AI画像と動画+3
2:30:30EN
Lex Fridman· 2021年7月31日ポッドキャスト · 2 人The Fallacy of the Successful First Stepゲスト Ishan Misra · ホスト 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.モデルと学習Computer VisionMultimodal AI+3
1:00:11EN
Lex Fridman· 2019年6月17日ポッドキャスト · 2 人Rosalind Picard: Clippy Never Saw You Frown, and That's the Whole Problemゲスト Rosalind Picard · ホスト 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.マルチモーダルとメディア安全性とガバナンスPrivacy & data governance+3
1:23:18EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the Internetホスト 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.モデルと学習RoboticsMultimodal AI+3
53:02EN
Unsupervised Learning: With Jacob EffronポッドキャストAdobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at Scaleホスト 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.プロダクトと UXGenerative mediaProduct Strategy+3
1:53:14EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute Capホスト 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.企業と戦略AI StrategyProduct Strategy+3
1:03:24EN
Unsupervised Learning: With Jacob EffronポッドキャストWhy Sora Bet on People, Not Just Pixelsホスト 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.マルチモーダルとメディアGenerative media画像と動画+3
1:31:52EN
Lex FridmanポッドキャストFrom Phonemes to CTC: How Deep Learning Rebuilt Speech Recognitionホスト 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.モデルと学習Deep LearningMultimodal AI+2
1:45:55EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストFrom Static Structures to Moving Molecules: Where AI for Protein Design Stands After AlphaFold 3ホスト 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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