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57:47EN
The Builders· 2026년 10월 22일Peter Thiel on AI Acceleration, Global Power, and the Values of Its Builders게스트 Peter Thiel · 진행자 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· 2026년 10월 21일Sam 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· 2026년 10월 20일Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGE게스트 Elon Musk · 진행자 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(범용 인공지능)+2
슬라이드 3장31:00EN
AI Explained· 2026년 10월 12일Why 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
슬라이드 5장38:10EN
Google DeepMind· 2026년 10월 1일From 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"· 2026년 9월 25일팟캐스트AI Safety's Real Shortage Is Founders, Not Ideas진행자 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.보안과 안전AI SafetyAI startups & small teams+3
슬라이드 4장31:59EN
MBMatthew Berman· 2026년 9월 23일Claude 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
슬라이드 8장1:59:37EN
MBMatthew Berman· 2026년 9월 22일Opus 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.코딩 에이전트AI cost & performance평가(Evals)+2
1:19:28EN
20VC with Harry Stebbings· 2026년 9월 17일팟캐스트 · 3명AI Safety, Personal Agents and the Venture Market’s Uneven Exits게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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· 2026년 9월 17일Anthropic'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· 2026년 9월 10일팟캐스트 · 3명AI Assistants, Enterprise Adoption and the Venture Market’s New Risks게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.AI agents엔터프라이즈 AIAI Safety+2
슬라이드 3장17:15EN
MBMatthew Berman· 2026년 8월 28일The 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· 2026년 8월 24일Tibo 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.코딩 에이전트에이전트 엔지니어링AI cost & performance+2
1:20:22EN
20VC with Harry Stebbings· 2026년 7월 30일팟캐스트 · 3명20VC Roundtable on Open Weights, AI Spending and Software Investing게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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
슬라이드 5장1:00:47EN
MBMatthew Berman· 2026년 7월 15일AI 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.코딩 에이전트Open-weight modelsAI cost & performance+2
2:13:11EN
Cognitive Revolution "How AI Changes Everything"· 2026년 5월 24일팟캐스트The Models Understand Shutdown. They Just Don't Care.진행자 Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.보안과 안전안전과 거버넌스AI security+3
슬라이드 5장1:42:54EN
MBMatthew Berman· 2026년 5월 12일AI 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 security보안과 안전AI Safety+2
슬라이드 6장3:01:44EN
MBMatthew Berman· 2026년 4월 21일Children, 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· 2026년 4월 7일팟캐스트 · 2명Demis Hassabis on AGI, Scientific Discovery and the Challenges Ahead게스트 Demis Hassabis · 진행자 Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.AGI(범용 인공지능)AI researchAI Safety+2
3:27:22EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 19일팟캐스트The AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promises진행자 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.기업과 전략AI StrategyAGI Timelines+3
슬라이드 3장11:59EN
MBMatthew Berman· 2026년 3월 11일How 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.평가(Evals)에이전트 엔지니어링Anthropic+2
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 5일팟캐스트Don't Fight Backprop: Goodfire's Bet on Designing What Models Learn진행자 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.모델과 학습Model Interpretability안전과 거버넌스+3
슬라이드1:16EN
MBMatthew Berman· 2026년 2월 25일Anthropic’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"· 2026년 2월 18일팟캐스트Three IMO Golds Missed the Same Problem. Harmonic Wants Math to Compile진행자 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.모델과 학습Reasoning & test-time computeAI research+3
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