最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

74 件
並び順
1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月3日ポッドキャストHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2ホスト Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.エージェントRoboticsMultimodal AI+3
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月20日ポッドキャストThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhereホスト Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.企業と戦略エージェント工学Distillation+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日ポッドキャストFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionホスト Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.マルチモーダルとメディアMultimodal AI画像と動画+3
1:01:38EN
Sequoia Capital· 2026年1月6日ポッドキャスト13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.モデルと学習RoboticsReinforcement Learning+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年11月19日ポッドキャスト · 2 人500 Gloves, 10 Million Trajectories, and a $10,000 Home Robotホスト Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.RoboticsData quality & curationScaling Laws+3
43:38EN
Sequoia Capital· 2025年11月11日ポッドキャストA 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.マルチモーダルとメディアGenerative mediaMultimodal AI+3
1:00:26EN
Sequoia Capital· 2025年11月6日ポッドキャストSeven Million Videos a Day, and Most Return Visits Are Spent CreatingOpenAI's Sora 2 leads walk through diffusion transformers, physics that rebounds off the backboard, and a feed designed against mindless scrolling.マルチモーダルとメディアGenerative media画像と動画+3
42:20EN
Unsupervised Learning: With Jacob Effron· 2025年9月17日ポッドキャストA Name Invented at 2:30 a.m. Put Gemini on Top of the App Storeホスト Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.マルチモーダルとメディアMultimodal AIGenerative media+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月30日ポッドキャストA hundred experiments a day, and the valley of death in materialsホスト Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.エージェントAI for scienceAutonomous Systems+3
スライド 16 枚23:39ZH
跟李沐学AI· 2025年7月23日李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。音声 AIMultimodal AIモデルと学習+2
2:28:14EN
Lex Fridman· 2025年7月23日ポッドキャスト · 2 人Nature Has Structure: Demis Hassabis on Learnable Reality and AGIゲスト Demis Hassabis · ホスト Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.企業と戦略World modelsAGI(汎用人工知能)+3
35:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月5日ポッドキャスト · 2 人Fei-Fei Li’s new bet: AI is incomplete without spatial intelligenceホスト Sarah Guo, Elad GilThe ImageNet pioneer tells Sarah Guo and Elad Gil why World Labs is building 3D generative foundation models, and why language was only one piece of the puzzle.マルチモーダルとメディアMultimodal AI画像と動画+3
53:51EN
Sequoia Capital· 2025年6月3日ポッドキャストVeo 3 Took First Place by Beating Veo 2. Google Labs Says Chapter Two Just StartedThree Google Labs leads walk through generative cameras, background computer-use agents, and notebooks that adapt knowledge for an audience of one.マルチモーダルとメディア画像と動画Generative media+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月11日ポッドキャストA Robot-Arm Shot That Took Months Now Lives in a Promptホスト Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.マルチモーダルとメディアGenerative mediaMultimodal AI+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月1日ポッドキャスト · 2 人o3 should wait exactly as long as the answer takesホスト Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.モデルと学習Reasoning & test-time computeReinforcement Learning+3
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月17日ポッドキャスト · 2 人Discovery rates collapsed tenfold. KoBold still found a 5% copper depositホスト Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.企業と戦略AI for scienceData quality & curation+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月23日ポッドキャストA Year to Grow a Brain Organoid, an Hour to Simulate Itホスト Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.モデルと学習AI for scienceComputational Biology+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月20日ポッドキャスト · 2 人Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.ホスト Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.モデルと学習RoboticsData quality & curation+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日ポッドキャストWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oホスト Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.マルチモーダルとメディアMultimodal AI画像と動画+3
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年12月26日ポッドキャスト · 2 人After adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerホスト Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.企業と戦略AI Strategyインフラとデプロイ+3
1:07:32EN
Unsupervised Learning: With Jacob Effron· 2024年12月18日ポッドキャストo1 Is a New Generation — and the Day AGI Arrives Will Feel Boringホスト Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.モデルと学習Reasoning & test-time computeエージェント工学+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月31日ポッドキャストGemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.ホスト Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.プロダクトと UX検索拡張生成(RAG)AI cost & performance+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月9日ポッドキャストA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalizationホスト Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.マルチモーダルとメディア画像と動画Generative media+3
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月14日ポッドキャストA parrot cannot paraphrase — and Claude cannot be talked into harmホスト Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.モデルと学習Model InterpretabilityMultimodal AI+3
もっと見る74 件中 24 件を表示