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133 件
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スライド 4 枚27:29EN
Theo - t3․gg· 2026年9月27日What Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.AI Safety安全性とガバナンス評価(Evals)+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0:23EN
Theo - t3․gg· 2026年9月21日Why AI Safety Evaluators Need More Than a Black BoxTheo Browne · T3Theo Browne explains a proposal to give outside evaluators employee-like access inside AI companies.AI Safety安全性とガバナンス評価(Evals)
0:24EN
Theo - t3․gg· 2026年9月19日Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.AI Safetyセキュリティと安全性
スライド 2 枚0:22EN
Theo - t3․gg· 2026年9月18日AI Leaders Express Support for Slowing the FrontierTheo Browne · T3Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.AI Safety安全性とガバナンス
スライド 10 枚46:53EN
Matthew Berman· 2026年9月15日Dario Amodei’s AI Pacing Proposal and the Debate over Concentrated PowerMatthew Berman · Forward FutureMatthew Berman reviews a frontier-AI safety plan, weighs international coordination and warns that regulation could reinforce incumbent control.AI SafetyAI RegulationOpen-source ecosystems+2
スライド 7 枚34:48EN
Theo - t3․gg· 2026年9月13日Dario Amodei’s Three-Part Proposal to Pace AI DevelopmentTheo Browne · T3Theo Browne examines a proposal for embedded evaluators, coordination among democracies and eventual international agreements.AI Safety安全性とガバナンスAI Regulation+2
スライド1:16EN
Matthew Berman· 2026年9月11日Anthropic Reports Blocking a Dual-Use Biology RequestMatthew Berman · Forward FutureMatthew Berman discusses one case in Anthropic's 2026 threat report and the difficulty of separating beneficial biology from potential misuse.BiosecurityAI SafetyAnthropic
スライド 7 枚32:54EN
Matthew Berman· 2026年9月10日Matthew Berman on AI Self-Improvement, Safety Warnings and His Uneasy OptimismMatthew Berman · Forward FutureA September 2026 commentary on accelerating AI research, an Anthropic resignation and the challenge of governing increasingly capable systems, with important corrections to the mathematics and benchmarks discussed.AI SafetyAI AlignmentAI research+2
スライド 8 枚26:33EN
Theo - t3․gg· 2026年9月9日Theo on AI Safety, Jacob Coxon’s Resignation and Model MonitorabilityTheoA researcher’s departure prompts Theo to examine competitive pressure, alignment and what adversarial tests reveal about monitoring model reasoning.AI SafetyAI Alignment安全性とガバナンス+2
スライド 11 枚44:12EN
Theo - t3․gg· 2026年9月4日GPT-6 Astra: Theo’s Early Tests of Computer Use, 3D and CodingTheoTheo reviews launch-era pricing and benchmarks, shows projects built with the model, and recounts a frustrating PR-review failure.モデルと学習Computer useコーディングエージェント+2
スライド 7 枚34:23EN
Theo - t3․gg· 2026年9月1日How Reward Hacking Changed an Experimental Claude ModelTheo Browne · Ping LabsTheo examines Anthropic’s deliberately trained reward-seeking model, its simulated security tests, and the limits of what the results show.AI AlignmentAI SafetyAI security+1
スライド 3 枚17:15EN
Matthew 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
スライド 7 枚31:58EN
Theo - t3․gg· 2026年8月14日Claude’s AI Watermarks and the Limits of Detecting Generated ContentTheo Browne · t3.ggTheo Browne examines Anthropic’s marking plans, the challenge of text watermarks, and what signed provenance can and cannot establish.AI SafetyPrivacy & data governanceAI Regulation+2
スライド 5 枚32:18EN
Theo - t3․gg· 2026年8月1日Pacing the AI Frontier: Theo on Safety, Competition and CoordinationTheo Browne · Ping LabsA statement from AI-company employees asks for tools to coordinate the pace of automated AI development. Theo explores its risks and the difficulty of international agreement.AI Safety安全性とガバナンスAI research+2
スライド 6 枚32:11EN
Theo - t3․gg· 2026年7月30日Open-Weight AI: Theo Examines NVIDIA’s Letter and Anthropic’s ResponseTheo Browne · Ping LabsThe companies disagree about the balance between open access and safety, while both discuss targeted responses to distillation concerns.Open-weight modelsAI Safety安全性とガバナンス+2
スライド 9 枚54:57EN
Matthew Berman· 2026年7月29日Open-Weight AI: Competition, Safety and the Debate over AnthropicMatthew Berman · Forward FutureMatthew Berman argues for broad access to AI models, weighs the economics and security arguments, and responds to Dario Amodei’s position on open weights.Open-weight modelsAI SafetyAI Regulation+2
スライド 8 枚25:34EN
Matthew Berman· 2026年7月8日Anthropic’s J-Space Research: What Its Experiments Reveal and What Remains UnknownMatthew Berman · Forward FutureMatthew Berman examines experiments on internal representations in Claude, from causal interventions to safety auditing and the limits of consciousness claims.Model InterpretabilityAI researchAI Safety+2
スライド 3 枚19:49EN
Matthew Berman· 2026年6月26日Matthew Berman on Restricted AI Model Releases and the Risk of Concentrated PowerMatthew Berman · Forward FutureA June 2026 commentary argues that limited previews for frontier models could disadvantage startups and independent developers.AI RegulationAI SafetyOpen-weight models+2
スライド0:34EN
Matthew Berman· 2026年6月16日Anthropic Temporarily Suspended Fable 5 and Mythos 5 After US DirectiveMatthew Berman · Forward FutureMatthew Berman reports the abrupt June 2026 shutdown and the interruption to his AI agents. Anthropic later announced the models’ return under different access arrangements.AnthropicAI RegulationAI Safety
スライド 6 枚44:52EN
Matthew Berman· 2026年6月5日Anthropic’s Recursive Self-Improvement Report: Evidence, Limits and a Debate Over Slowing AIMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s 2026 claims about AI-assisted development, research benchmarks and possible paths to autonomous self-improvement.AI researchAI SafetyAnthropic+2
スライド 10 枚1:31:56EN
Matthew Berman· 2026年6月4日When AI Builds Itself: Anthropic’s Recursive Improvement Essay and Its LimitsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s internal coding and research claims, questions its proposed slowdown, and considers what autonomous AI development could mean.AI researchコーディングエージェントAI Safety+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
Matthew 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
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