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99 件
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1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日ポッドキャスト · 2 人10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledgerホスト Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.オープンソースとコミュニティOpen-weight modelsReinforcement Learning+3
3:15:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月10日ポッドキャストThe Goal Is Pax Robotica, Not Winning the AI Raceホスト Nathan LabenzAfter two weeks in China, Nathan Labenz argues the United States should trade chips for robots, keep a shared AI paradigm, and aim for mutual abundance instead of another sword of Damocles.企業と戦略安全性とガバナンスAI Strategy+3
5:15:51EN
Lex Fridman· 2026年8月26日ポッドキャスト · 2 人DHH Did Not Write a Line of Omarchy Quattroゲスト DHH · ホスト Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.コーディングエージェントVibe Codingエージェント工学+3
50:57EN
Unsupervised Learning: With Jacob Effron· 2026年7月9日ポッドキャストA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuberホスト Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.モデルと学習AGI(汎用人工知能)AI research+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 2026年6月12日ポッドキャストBills Doubled Overnight. Next, the APIs Might Vanish.ホスト Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.企業と戦略AI StrategyOpen-source ecosystems+3
4:18:22EN
Lex Fridman· 2026年5月6日ポッドキャスト · 2 人Every Cycle Matters: The Volunteers Who Decode Almost All Internet Videoゲスト FFmpeg · ホスト Lex FridmanLex Fridman talks with Jean-Baptiste Kempf and Kieran Kunhya about FFmpeg, VLC, handwritten assembly, and the unpaid crew behind YouTube, Netflix, and a rover on Mars.オープンソースとコミュニティOpen-source ecosystemsSoftware engineering+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
1:34:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月18日ポッドキャストThree IMO Golds Missed the Same Problem. Harmonic Wants Math to Compileホスト Nathan LabenzVlad Tenev and Tudor Achim built Aristotle to emit Lean proofs a kernel can check—and they argue that is how mathematical superintelligence stays trustworthy.モデルと学習Reasoning & test-time computeAI research+3
3:15:52EN
Lex Fridman· 2026年2月11日ポッドキャスト · 2 人The Voice Note His Bot Couldn't Handle — and the Agent That Built Itself Anywayゲスト OpenClaw · ホスト Lex FridmanPeter Steinberger tells Lex Fridman how a one-hour WhatsApp toy became GitHub's fastest-growing project, and what it cost him to keep it open.エージェントPersonal agentsエージェント工学+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
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月3日ポッドキャストHours after training ends, Z.ai puts the weights on the internetホスト Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.企業と戦略Open-source ecosystemsOpen-weight models+3
59:43EN
Sequoia Capital· 2025年9月30日ポッドキャストGoose is writing its own pull requests: how Block is trying to save a quarter of the weekCTO Dhanji Prasanna tells Sequoia how an open-source agent, a functional reorg, and a weekly hours-saved metric are turning Block into an AI-first company.企業と戦略エンタープライズ AIエージェント工学+3
2:20:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月28日ポッドキャストChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.ホスト Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.企業と戦略AI StrategyAGI Timelines+3
43:09EN
Sequoia Capital· 2025年9月9日ポッドキャストA $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.オープンソースとコミュニティRoboticsOpen-source ecosystems+2
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年8月28日ポッドキャスト · 2 人Seventeen Years of Flat Power, and a Plan to Bring the Factories Homeホスト Sarah Guo, Elad GilJacob Helberg, the under secretary of state designate for economic growth, energy, and the environment, argues that nuclear power and AI productivity—not cheap labor—are how America reshore its supply chain.企業と戦略AI Strategyインフラとデプロイ+2
35:45EN
Sequoia Capital· 2025年8月26日ポッドキャストSix Years of Revenue, Then Four Times That in Eight Monthsn8n CEO Jan Oberhauser tells Sequoia how two bets — becoming an AI-agent builder, then deleting the leads metric — turned a workflow tool into a default orchestration layer.エージェントCompany BuildingWorkflow automation+3
47:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年8月14日ポッドキャスト · 2 人The Analyst Tracking 200 GPU Clouds Breaks Nvidia Into a Three-Headed Dragonホスト Sarah Guo, Elad GilSemiAnalysis founder Dylan Patel on OpenAI’s open-weight model, a coming neocloud wipeout, and why a chip startup has to beat Nvidia on hardware, networking, and software at once.インフラとデプロイInferenceAI cost & performance+3
1:45:00EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月6日ポッドキャストAmerica Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or Allyホスト Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.企業と戦略AI StrategyGeopolitics+3
36:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月31日ポッドキャスト · 2 人The Weekend DeepSeek Dropped, the White House Calledホスト Sarah Guo, Elad GilSriram Krishnan walks No Priors through America’s 28-page AI Action Plan, a token-share definition of winning, and why the lead over China is too small to take for granted.企業と戦略AI Strategyインフラとデプロイ+3
54:53EN
Unsupervised Learning: With Jacob Effron· 2025年6月17日ポッドキャストA Free Voting Board Burned $2 Million. Then It Raised $100 Million.ホスト Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.評価とオブザーバビリティ評価(Evals)Benchmarks+3
58:11EN
Sequoia Capital· 2025年4月15日ポッドキャストPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.モデルと学習AI for sciencePretraining & midtraining+3
1:01:53EN
Unsupervised Learning: With Jacob Effron· 2025年3月28日ポッドキャストOpen-source models are 5% of enterprise use — and GPT wrappers wonホスト Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.企業と戦略Product-Market FitAI Strategy+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
45:06EN
Unsupervised Learning: With Jacob Effron· 2025年3月5日ポッドキャストMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Yearホスト Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.インフラとデプロイAI StrategyOpen-weight models+3
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