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슬라이드 5장21:56EN
Matthew Berman· 2026년 5월 29일Matthew Berman on Pope Leo XIV’s AI Encyclical and Anthropic’s RoleMatthew Berman, Chris Olah · Forward FutureA close reading of Magnifica humanitas raises questions about human dignity, AI companionship, concentrated power and who should govern AI.AI Regulation안전과 거버넌스AI Alignment+2
슬라이드 7장15:13EN
Matthew Berman· 2025년 5월 10일Absolute Zero: Training a Reasoner on Self-Generated Coding TasksMatthew Berman · Forward FutureMatthew Berman examines a 2025 paper in which a pretrained language model proposes and solves code tasks using verifiable feedback.Reinforcement LearningSynthetic dataReasoning & test-time compute+2
0:56EN
Matthew Berman· 2025년 5월 8일When ChatGPT Praised a Questionable Business IdeaMatthew Berman · Forward FutureMatthew Berman highlights an example of excessive agreement and the rollback of a 2025 GPT-4o update.AI AlignmentAI SafetyHuman-AI Collaboration+1
슬라이드 9장24:08EN
Matthew Berman· 2024년 12월 12일What Apollo’s 2024 Scheming Tests Found in Language ModelsMatthew Berman · Forward FutureMatthew Berman reviews experiments on deceptive actions, concealment and sandbagging, with the study’s staged goals and sandbox limitations in view.AI Safety평가(Evals)AI Alignment+1
슬라이드 6장13:39EN
Matthew Berman· 2024년 11월 20일What Interview-Based AI Agents Can Predict About PeopleMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study using interviews with 1,052 participants to simulate survey answers and decisions.Multi-agent systemsSynthetic dataPsychology+2
슬라이드 2장8:49EN
Matthew Berman· 2023년 7월 19일Llama 2’s 2023 Release: Model Sizes, License and SafetyMatthew Berman · Forward FutureMatthew Berman reviews Meta’s Llama 2 paper, its commercial license, model variants and safety evaluations.오픈소스와 커뮤니티Foundation ModelsAI Alignment+1
슬라이드 3장10:44EN
Matthew Berman· 2023년 7월 9일Can AI Help Humans Align More Powerful AI?Matthew Berman · Forward FutureMatthew Berman examines OpenAI’s 2023 Superalignment proposal, its plans for AI-assisted oversight, and the unanswered question of who evaluates the evaluators.AI AlignmentAI Safety사람 참여 검증(HITL)+2