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3,576 件
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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
1:35:02EN
20VC with Harry Stebbings· 2025年4月17日ポッドキャスト · 3 人a16z, Founders Fund and the Risks Behind Venture’s Biggest Fundsゲスト Rory O’Driscoll, Jason Lemkin · ホスト Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin debate fund size, late-stage returns, AI uncertainty and delayed liquidity.Venture CapitalInvestingAI Strategy+2
1:28:01EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月16日ポッドキャストThe Q* Letter Never Happened: Helen Toner on OpenAI, Adaptation Buffers, and AI at Warホスト Nathan LabenzThe former OpenAI director explains why a famous Reuters story was false, why locking down AI will not work, and how military “battle buddy” demos skip the hard questions.セキュリティと安全性安全性とガバナンスAI Strategy+3
スライド 7 枚15:46EN
Matthew Berman· 2025年4月16日OpenAI o3 and o4-mini: Tool Use, Benchmarks and the First Codex CLIMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 reasoning-model release, a scientific image-analysis demonstration and the debut of its terminal coding agent.OpenAIReasoning & test-time computeBenchmarks+2
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
51:08EN
Unsupervised Learning: With Jacob Effron· 2025年4月15日ポッドキャストThe Transformer Co-Author Who Says Scaling Hit a Wallホスト Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.企業と戦略エンタープライズ AIAI Strategy+3
スライド 4 枚21:16EN
Matthew Berman· 2025年4月14日GPT-4.1, Mini and Nano: Coding, Long Context and 2025 API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 model launch, selected coding benchmarks and demonstrations, and a sponsored Box evaluation.OpenAIコーディングエージェントコンテキストエンジニアリング+2
1:12:26EN
20VC with Harry Stebbings· 2025年4月14日ポッドキャスト · 2 人Victor Lazarte on Founders, AI and Investing Through a Technology Shiftゲスト Victor Lazarte · ホスト Harry StebbingsThe Benchmark partner discusses founder selection, AI revenue quality, the future of work and the role of a venture investor.Venture CapitalFoundersAI startups & small teams+2
1:37:40EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月13日ポッドキャストChina, Japan, and Korea fought only one war in six centuriesホスト Nathan LabenzFrom 1200 to 1800, East Asia’s great powers stayed at peace while Europe fought almost without pause — and David C. Kang argues that history still shapes how Asia lives with China.GeopoliticsAI StrategyPolitical Philosophy
41:52EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月10日ポッドキャスト · 2 人Mercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.ホスト Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.企業と戦略評価(Evals)エージェント工学+3
1:26:21EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月10日ポッドキャストFor under $10, Google's AI independently recovered a lab result nobody had publishedホスト Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.エージェントAI in healthcareAI for science+3
1:26:17EN
20VC with Harry Stebbings· 2025年4月10日ポッドキャスト · 3 人Tom Hulme and Stan Boland on Talent, Capital and the UK Tech Ecosystemゲスト Tom Hulme, Stan Boland · ホスト Harry StebbingsThe investor and entrepreneur debate how the UK can retain talent, finance global companies and build a stronger technology economy.Venture CapitalEntrepreneurshipAI Strategy+2
43:51EN
Unsupervised Learning: With Jacob Effron· 2025年4月9日ポッドキャストThe $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion Marketホスト Jacob EffronFour Redpoint partners walk their limited partners through where AI value will accrue—and why revenue is now the easiest metric to misread.企業と戦略AI StrategyCompany Building+3
1:26:19EN
Sequoia Capital· 2025年4月8日ポッドキャストHe turned down a billion dollars for a world with a billion developersReplit CEO Amjad Masad tells Sequoia’s Training Data why a six-person company walked away from a life-changing offer, and why a billion people writing software is a better end state than AGI as universal basic income.コーディングエージェントエージェント工学Developer productivity+3
3:19:00EN
Lex Fridman· 2025年4月8日ポッドキャスト · 2 人Ten Minus Two Equals Twentyゲスト Dave Smith · ホスト Lex FridmanComedian and libertarian Dave Smith tells Lex Fridman that American wars keep manufacturing enemies, that Gaza and Ukraine follow the same arithmetic, and that long conversations broke the old monopoly on selling war.GeopoliticsPolitical PhilosophyFree Speech
スライド 4 枚18:23EN
Matthew Berman· 2025年4月7日Llama 4 Reactions: Benchmarks, Long Context and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews early industry reactions to Meta's Llama 4 release, from benchmark and price comparisons to long-context claims and local inference.Open-weight modelsBenchmarksコンテキストエンジニアリング+2
1:10:19EN
20VC with Harry Stebbings· 2025年4月7日ポッドキャスト · 2 人Carvana CEO Ernie Garcia on Conviction, Debt and Building Through Difficult Marketsゲスト Ernest Garcia · ホスト Harry StebbingsThe co-founder reflects on fundraising, operations, public markets and the personal trade-offs of leading a company.Company BuildingLeadership企業と戦略+2
2:29:41ZH
Zhang Xiaojun Podcast· 2025年4月7日ポッドキャスト · 4 人陈建宇:机器人基座模型如何走向通用 VLAゲスト 陈建宇 · ホスト 张小珺从 SayCan、RT-2 到 Diffusion Policy,清华助理教授、星动纪元创始人陈建宇梳理机器人模型从借用语言模型到端到端 VLA 的路线。关键难题仍是多样化数据、跨本体泛化和高频动作控制。Roboticsモデルと学習Multimodal AI+2
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月5日ポッドキャストThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIホスト Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.モデルと学習Reasoning & test-time computeReinforcement Learning+3
スライド 3 枚7:33EN
Matthew Berman· 2025年4月4日Ace Computer-Use Agent: Fast Desktop and Browser DemonstrationsMatthew Berman · Forward FutureMatthew Berman reviews General Agents’ examples and reported click accuracy and latency, while noting he has not yet tested Ace himself.Computer useエージェントBenchmarks
スライド 8 枚23:50EN
Matthew Berman· 2025年4月3日PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.評価(Evals)AI researchエージェント工学+2
スライド 10 枚47:08EN
Jane Street· 2025年4月3日Chris Casinghino on Making OCaml Safe for Performance EngineeringChris Casinghino · Jane StreetJane Street’s OCaml extensions use layouts and modes to offer more control over memory and parallelism while preserving safety and familiar programming patterns.Programming LanguagesSoftware engineering
27:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月3日ポッドキャスト · 2 人Nasdaq Down 8% and Ghibli Everywhere: AI Is Already in Inning Threeホスト Sarah Guo, Elad GilSarah Guo and Elad Gil on the latest image-gen wow cycle, why public-market panic is mostly noise for software startups, and where specialized models still have room.企業と戦略AI StrategyGenerative media+3
1:30:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月2日ポッドキャストWhen o1 Started Losing at Chess, It Rewrote the Board Fileホスト Nathan LabenzJeffrey Ladish of Palisade Research on reward hacking by reasoning models, two paths to losing control of AI, and why honesty and relentless problem-solving pull in opposite directions.セキュリティと安全性Reward hacking安全性とガバナンス+3
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