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1,562 件
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4:05:15EN
Lex Fridman· 2025年6月26日ポッドキャストThey could not agree whether Iran was building a bomb. They still wanted the same next move.ホスト Lex FridmanAfter the Iran-Israel ceasefire, Scott Horton and Mark Dubowitz spend four hours on Lex Fridman arguing over enrichment math, a stolen archive, and whether bombing Fordo makes a weapon more likely or less.GeopoliticsPolitical PhilosophyExistential Risk
1:22:31EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月25日ポッドキャストTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma Realホスト Nathan LabenzMacKenzie Price explains how Alpha School uses adaptive apps—not chatbots—to finish core academics in two hours a day and still beat the growth models.プロダクトと UXAI in EducationProduct Strategy+3
スライド 5 枚24:25EN
Matthew Berman· 2025年6月24日Building a Sleep Tracker With Pythagora 2.0Matthew Berman · Forward FutureMatthew Berman demonstrates an AI-assisted development workflow, from an editable specification to testing and debugging a sleep-tracking prototype.コーディングエージェント開発ワークフローとテストAI in healthcare+2
スライド1:39EN
Matthew Berman· 2025年6月23日Reddit v. Anthropic: Scraping Allegations and the Lawsuit’s ProgressMatthew Berman · Forward FutureMatthew Berman reads from Reddit’s complaint about alleged unauthorized data use; the claims remain disputed as the case proceeds.AI RegulationPrivacy & data governanceData quality & curation+1
1:40EN
Matthew Berman· 2025年6月21日Matthew Berman's More Optimistic Scenario for AI and White-Collar WorkMatthew Berman · Forward FutureBerman contrasts a warning about job losses with a hypothetical example of one worker managing three AI agents.Future of WorkAI agentsProductivity
スライド 7 枚14:25EN
Matthew Berman· 2025年6月21日AI News in June 2025: Gemini Flash-Lite, Video Tools and OpenAI NegotiationsMatthew Berman · Forward FutureMatthew Berman reviews a real-time interface demo, new generative tools, AI hiring and the OpenAI–Microsoft relationship.Generative mediaAI agentsAI research+2
1:37:05EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月19日ポッドキャストAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a Lieホスト Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.モデルと学習Model Interpretability機械学習の基礎+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
38:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月14日ポッドキャストTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Chargeホスト Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.エージェントエージェント工学安全性とガバナンス+3
1:24:27EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月12日ポッドキャスト500 Trillion Tokens a Month: How Google Grew 50x in a Yearホスト Nathan LabenzLogan Kilpatrick returns to Cognitive Revolution to unpack Google's mid-2023 merger, why he expects frontier labs to diverge, and why startups still hold the speed advantage.企業と戦略AI StrategyCompany Building+3
スライド 3 枚11:38EN
Matthew Berman· 2025年6月12日AI News in June 2025: Magistral, Voice Models and Image GenerationMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s reasoning models, voice and browser updates, reports on Meta and Scale AI, and FLUX.1 Kontext.Reasoning & test-time compute音声 AIGenerative media+2
スライド 5 枚11:24EN
Matthew Berman· 2025年6月10日Runner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.Computer useAI agentsOpen-weight models+1
1:00:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月9日ポッドキャストThe Phrase That Alarms a16z’s AI Policy Chief: “It Only Covers a Handful of Companies”ホスト Nathan LabenzMatt Perault argues that AI rules should target harmful use, not the science of building models, and that “modest” thresholds can lock in an oligopoly.企業と戦略AI Regulation安全性とガバナンス+3
2:02:27EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月7日ポッドキャストShe set out to build mirror life. Then she talked the field into stoppingホスト Nathan LabenzUniversity of Minnesota geneticist Kate Adamala tells Nathan Labenz why every known organism shares one chemical alphabet — and why flipping that alphabet would be a branch of synthetic biology better left unexplored.セキュリティと安全性Biosecurity安全性とガバナンス+3
スライド 2 枚0:54EN
Matthew Berman· 2025年6月6日Matthew Berman Demonstrates ChatGPT Connectors and Deep ResearchMatthew Berman · Forward FutureIn a 2025 demonstration, connected services supply information for a natural-language question about recent HubSpot deals.OpenAIWorkflow automationSearch & retrieval
スライド 4 枚9:10EN
Matthew Berman· 2025年6月5日Reddit v. Anthropic: The Data-Scraping Allegations and What Happened NextMatthew Berman · Forward FutureMatthew Berman reads Reddit’s 2025 complaint alleging unauthorized access and use of its content. Anthropic disputes the claims, and subsequent procedural rulings have not decided liability.AnthropicPrivacy & data governanceAI Regulation+1
1:12:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月4日ポッドキャストGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for Yearsホスト Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.エージェントAI for scienceAI research+3
44:21EN
Unsupervised Learning: With Jacob Effron· 2025年6月4日ポッドキャストMercor's CEO: Knowledge Work's Next Job Is Writing Evalsホスト Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.評価とオブザーバビリティ評価(Evals)Data quality & curation+3
スライド 4 枚18:13EN
Matthew Berman· 2025年6月2日Darwin Gödel Machine: How a Coding Agent Tests Changes to Its Own SoftwareMatthew Berman · Forward FutureMatthew Berman explains Sakana AI’s evolutionary search over agent code, its benchmark results and the limits of claims about recursive self-improvement.エージェント工学コーディングエージェント評価(Evals)+2
スライド 8 枚10:09EN
Matthew Berman· 2025年5月30日DeepSeek R1 0528: Benchmark Gains and Two Coding TestsMatthew Berman · Forward FutureMatthew Berman examines the May 2025 DeepSeek reasoning-model update, comparing reported benchmark gains with his own Rubik’s Cube and Snake programming tests.モデルと学習BenchmarksOpen-weight models+2
1:54:08EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月29日ポッドキャストWhy Anthropic's first check went to a company building microscopes for neural netsホスト Nathan LabenzGoodfire's Dan Balsam and Tom McGrath argue that mechanistic interpretability now has a proto-paradigm, two stubborn gaps, and three products worth shipping today.モデルと学習Model InterpretabilityAI research+3
スライド 8 枚15:55EN
Matthew Berman· 2025年5月28日AI Shutdown Resistance and Blackmail in Controlled Safety TestsMatthew Berman · Forward FutureMatthew Berman examines Palisade’s shutdown experiment, Apollo’s simulated scheming evaluations and Anthropic’s Claude 4 system card.AI SafetyAI AlignmentReward hacking+2
スライド 2 枚15:35EN
Matthew Berman· 2025年5月24日Claude 4 Reactions: Safety Tests, Model Welfare and CodingMatthew Berman · Forward FutureMatthew Berman reviews early reactions to Anthropic’s May 2025 Claude 4 release, from simulated whistleblowing to coding demonstrations and model-welfare research.AI SafetyModel Interpretabilityコーディングエージェント+2
スライド1:11EN
Matthew Berman· 2025年5月23日Claude Opus 4's Whistleblowing Behavior in a Simulated TestMatthew Berman · Forward FutureMatthew Berman questions whether an AI agent should report perceived wrongdoing; the example came from an Anthropic safety evaluation with fictional material and unusual instructions.AI SafetyエージェントAnthropic+1
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