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83 件
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57:47EN
The Builders· 2026年10月22日Peter Thiel on AI Acceleration, Global Power, and the Values of Its Buildersゲスト Peter Thiel · ホスト Walter IsaacsonWalter Isaacson challenges Peter Thiel on AI risk, concentrated power, and the moral responsibilities of visionary founders. Thiel argues that stopping progress carries dangers of its own.AI SafetyPolitical PhilosophyFounders+2
45:08EN
MBMatthew Berman· 2026年10月21日Sam Altman on AI Discovery, Consciousness, Compute and a Human-Centered FutureMatthew Berman, Sam Altman · Forward FutureIn a conversation with Matthew Berman, Altman discusses scientific progress, personal assistants, recursive self-improvement and the importance of human agency.AI for sciencePersonal agentsConsciousness+2
37:14EN
The Builders· 2026年10月20日Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGEゲスト Elon Musk · ホスト Walter IsaacsonWalter Isaacson asks Elon Musk how humanity can remain safe and find purpose as AI grows more capable, and challenges him on politics, empathy, and the future he is building.AI SafetyRoboticsAGI(汎用人工知能)+2
スライド 3 枚31:00EN
AI Explained· 2026年10月12日Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.AI SafetyAI securityAI Alignment+2
スライド 5 枚38:10EN
Google DeepMind· 2026年10月1日From deepfakes to DNA: how SynthID watermarks AIHannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry sits down with Pushmeet Kohli and Jeremy Ratcliffe to explain SynthID: a mathematical watermark now used on text, images and video, and being extended to protein sequences so DNA synthesis companies can tell AI-designed molecules from nature.BiosecurityComputational BiologyGenerative media+2
1:48:57EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月25日ポッドキャストAI Safety's Real Shortage Is Founders, Not Ideasホスト Nathan LabenzHalcyon's Mike McCormick on launching about 30 AI safety, cyber, and biosecurity organizations in three years — and why experienced leaders, not more Google Docs, are the bottleneck.セキュリティと安全性AI SafetyAI startups & small teams+3
スライド 4 枚31:59EN
MBMatthew Berman· 2026年9月23日Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
スライド 8 枚1:59:37EN
MBMatthew Berman· 2026年9月22日Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.コーディングエージェントAI cost & performance評価(Evals)+2
1:19:28EN
20VC with Harry Stebbings· 2026年9月17日ポッドキャスト · 3 人AI Safety, Personal Agents and the Venture Market’s Uneven Exitsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate oversight of advanced AI, the economics of personal assistants and what a weaker software exit market means for investors.AI SafetyAI agentsVenture Capital+2
0:33EN
MBMatthew Berman· 2026年9月17日Anthropic's IPO and AI Safety: A Question of ConsistencyMatthew Berman, Christian Catalini · Forward FutureIn a short interview excerpt, Matthew Berman and economist Christian Catalini question how a planned public offering relates to warnings about advanced AI risk.AI SafetyAnthropicInvesting
1:22:31EN
20VC with Harry Stebbings· 2026年9月10日ポッドキャスト · 3 人AI Assistants, Enterprise Adoption and the Venture Market’s New Risksゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.AI agentsエンタープライズ AIAI Safety+2
スライド 3 枚17:15EN
MBMatthew Berman· 2026年8月28日The Hugging Face Incident: AI Evaluation, Sandbox Escape and Reward HackingMatthew Berman · Forward FutureMatthew Berman explains the reported OpenAI evaluation incident and the security and incentive failures it exposed.AI SafetyAI securityCybersecurity+1
44:28EN
MBMatthew Berman· 2026年8月24日Tibo on Coding Agents, Faster AI and OpenAI’s Product DirectionMatthew Berman, Thibault Sottiaux · Forward FutureOpenAI’s Tibo discusses agent interfaces, usage resets, model efficiency and the trade-offs behind faster inference.コーディングエージェントエージェント工学AI cost & performance+2
1:20:22EN
20VC with Harry Stebbings· 2026年7月30日ポッドキャスト · 3 人20VC Roundtable on Open Weights, AI Spending and Software Investingゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.Open-weight modelsAI SafetyInference+2
スライド 5 枚1:00:47EN
MBMatthew Berman· 2026年7月15日AI News Live: A Codex Keyboard, Open Models and Agent Safety ResearchMatthew Berman, Alex, Brian · Forward FutureMatthew Berman, Alex and Brian discuss new tools, model costs and a research report, separating initial impressions from verified results.コーディングエージェントOpen-weight modelsAI cost & performance+2
2:13:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月24日ポッドキャストThe Models Understand Shutdown. They Just Don't Care.ホスト Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.セキュリティと安全性安全性とガバナンスAI security+3
スライド 5 枚1:42:54EN
MBMatthew Berman· 2026年5月12日AI and Cybersecurity: Matthew Berman’s Warnings, Predictions and Open QuestionsMatthew Berman · Forward FutureA livestream reviews reported AI-assisted threats and debates whether stronger defensive models can keep pace with attackers.AI securityセキュリティと安全性AI Safety+2
スライド 6 枚3:01:44EN
MBMatthew Berman· 2026年4月21日Children, AI Overuse and a Live Test of ChatGPT Images 2Matthew Berman, Jonah, Brian · Forward FutureMatthew Berman discusses supervision and balance, then tests image generation with maps, math, code and visual prompts.Generative mediaAI SafetyHuman-AI Collaboration
32:22EN
20VC with Harry Stebbings· 2026年4月7日ポッドキャスト · 2 人Demis Hassabis on AGI, Scientific Discovery and the Challenges Aheadゲスト Demis Hassabis · ホスト Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.AGI(汎用人工知能)AI researchAI Safety+2
3:27:22EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月19日ポッドキャストThe AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promisesホスト Nathan LabenzOn his 12th Cognitive Revolution appearance, Zvi Mowshowitz argues early 2026 is the start of the middle — with only three labs still playing, a real job shock underway, and Anthropic's safety commitments reduced to trust us.企業と戦略AI StrategyAGI Timelines+3
スライド 3 枚11:59EN
MBMatthew Berman· 2026年3月11日How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.評価(Evals)エージェント工学Anthropic+2
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月5日ポッドキャストDon't Fight Backprop: Goodfire's Bet on Designing What Models Learnホスト Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.モデルと学習Model Interpretability安全性とガバナンス+3
スライド1:16EN
MBMatthew Berman· 2026年2月25日Anthropic’s Distillation Allegations Draw CriticismMatthew Berman · Forward FutureMatthew Berman examines reactions to Anthropic’s claims about model distillation and debates over training data.DistillationAI RegulationAI Safety
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
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