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1,775 件
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51:19EN
Unsupervised Learning: With Jacob Effron· 2025年4月29日ポッドキャストSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Productホスト Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.プロダクトと UXAI in EducationProduct Strategy+3
スライド 8 枚27:20EN
Matthew Berman· 2025年4月29日Dario Amodei’s Case for Urgent AI Interpretability ResearchMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s interpretability work, experimental safety findings and the debate over how quickly understanding can advance.AI SafetyAnthropicAI Alignment+1
スライド 7 枚14:04EN
Matthew Berman· 2025年4月29日Qwen3: Open Weights, Adjustable Reasoning and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews the April 2025 Qwen3 family, its benchmark claims, training pipeline and local demonstration.Open-weight modelsモデルと学習Reasoning & test-time compute+2
1:41:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月26日ポッドキャストFiverr’s CEO Sent a Wake-Up Memo: AI Won’t Take Your Job. A Peer Who Uses It Will.ホスト Nathan LabenzMicha Kaufman tells Nathan Labenz how a 15-year freelance marketplace is trying to give creators their own models instead of letting public AI eat their work for free.プロダクトと UXAI StrategyProduct Strategy+3
スライド 4 枚19:06EN
Matthew Berman· 2025年4月25日Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.Reasoning & test-time computeAgent memoryAI cost & performance+2
2:10:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月23日ポッドキャストA $30,000 Operation Could Knock a $10 Billion Superintelligence Data Center Offline for a Yearホスト Nathan LabenzGladstone AI’s Jeremy and Edouard Harris inventory what an American Manhattan Project for superintelligence would actually have to secure — and what it would cost in concrete, supply chains, and civil liberties.セキュリティと安全性AI security安全性とガバナンス+3
スライド 10 枚26:35EN
Matthew Berman· 2025年4月23日Testing Gemini 2.5 Flash on Coding and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman compares Google’s faster model with Gemini 2.5 Pro through interactive simulations, games and questions about a long video.モデルと学習コーディングエージェントMultimodal AI+2
3:08:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月21日ポッドキャストo3 isn't AGI. Zvi Mowshowitz still put p(doom) at 70 percentホスト Nathan LabenzOn his ninth visit to The Cognitive Revolution, Zvi Mowshowitz argues that OpenAI's o3 is a tool-use leap rather than AGI, then explains why he raised the probability of AI catastrophe anyway.セキュリティと安全性AGI(汎用人工知能)Existential Risk+3
2:27:59EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月19日ポッドキャストA 10-to-90% P(doom) Host Gets Asked If His Show Sounds Like Itホスト Nathan LabenzNathan Labenz and Liron Shapira sit on the same side of the table and test a week of AI news against the question of how likely extinction actually is.セキュリティと安全性Existential RiskAGI(汎用人工知能)+3
スライド 7 枚15:15EN
Matthew Berman· 2025年4月19日Early Reactions to OpenAI o3 and o4-mini: Tool Use, Math and MistakesMatthew Berman · Forward FutureMatthew Berman reviews 2025 demos and benchmark reports, from location guessing and coding to simple failures that challenge the hype.OpenAIBenchmarksReasoning & test-time compute+2
スライド 3 枚15:45EN
Matthew Berman· 2025年4月18日AI News: Gemini 2.5 Flash, OpenAI Models, Claude Research and Kling 2.0Matthew Berman · Forward FutureMatthew Berman reviews a week of 2025 model releases, research tools and agent announcements, including historical price and benchmark comparisons.モデルと学習AI cost & performanceエージェント
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 2 枚14:24EN
AI Explained· 2025年4月16日OpenAI o3 and o4-mini: Real Progress, Uneven ReliabilityA launch-day review weighs strong test scores and tool use against simple errors, evaluation differences and cost.OpenAIBenchmarksAI Safety+1
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
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
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
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
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
1:14:11EN
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
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
スライド 6 枚16:02EN
Matthew Berman· 2025年4月1日Runway Gen-4 Examples: Cinematic Motion, Style and Visible ErrorsMatthew Berman · Forward FutureMatthew Berman reviews early generated clips, praising their visual detail while identifying awkward interactions and inconsistent physics.画像と動画Generative media
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