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220 件
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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 9 枚26:01EN
Matthew Berman· 2025年5月27日Testing Veo 3: Convincing Video, Generated Audio and Physics FailuresMatthew Berman · Forward FutureMatthew Berman and a collaborator test Google’s 2025 video model with street interviews, cinematic scenes, visual puzzles and edited short films.Generative media画像と動画Creativity
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 7 枚17:35EN
Matthew Berman· 2025年5月22日Google I/O 2025: Gemini, AI Agents, Generative Media and XRMatthew Berman, Sundar Pichai, Demis Hassabis · Forward FutureMatthew Berman recaps the event’s major AI demonstrations, from Beam and Mariner to Deep Think, Veo 3 and prototype glasses.GeminiAI agentsGenerative media+2
スライド 7 枚15:13EN
Matthew Berman· 2025年5月10日Absolute 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
スライド 8 枚27:20EN
Matthew Berman· 2025年4月29日Dario Amodei’s Case for Urgent AI Interpretability ResearchMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s interpretability work, experimental safety findings and the debate over how quickly understanding can advance.AI SafetyAnthropicAI Alignment+1
スライド 4 枚19:06EN
Matthew Berman· 2025年4月25日Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.Reasoning & test-time computeAgent memoryAI cost & performance+2
スライド 10 枚26:35EN
Matthew Berman· 2025年4月23日Testing Gemini 2.5 Flash on Coding and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman compares Google’s faster model with Gemini 2.5 Pro through interactive simulations, games and questions about a long video.モデルと学習コーディングエージェントMultimodal AI+2
スライド 7 枚15:15EN
Matthew Berman· 2025年4月19日Early Reactions to OpenAI o3 and o4-mini: Tool Use, Math and MistakesMatthew Berman · Forward FutureMatthew Berman reviews 2025 demos and benchmark reports, from location guessing and coding to simple failures that challenge the hype.OpenAIBenchmarksReasoning & test-time compute+2
スライド 3 枚15:45EN
Matthew Berman· 2025年4月18日AI News: Gemini 2.5 Flash, OpenAI Models, Claude Research and Kling 2.0Matthew Berman · Forward FutureMatthew Berman reviews a week of 2025 model releases, research tools and agent announcements, including historical price and benchmark comparisons.モデルと学習AI cost & performanceエージェント
スライド 7 枚15:46EN
Matthew Berman· 2025年4月16日OpenAI o3 and o4-mini: Tool Use, Benchmarks and the First Codex CLIMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 reasoning-model release, a scientific image-analysis demonstration and the debut of its terminal coding agent.OpenAIReasoning & test-time computeBenchmarks+2
スライド 4 枚21:16EN
Matthew Berman· 2025年4月14日GPT-4.1, Mini and Nano: Coding, Long Context and 2025 API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 model launch, selected coding benchmarks and demonstrations, and a sponsored Box evaluation.OpenAIコーディングエージェントコンテキストエンジニアリング+2
スライド 4 枚18:23EN
Matthew Berman· 2025年4月7日Llama 4 Reactions: Benchmarks, Long Context and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews early industry reactions to Meta's Llama 4 release, from benchmark and price comparisons to long-context claims and local inference.Open-weight modelsBenchmarksコンテキストエンジニアリング+2
スライド 8 枚23:50EN
Matthew Berman· 2025年4月3日PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.評価(Evals)AI researchエージェント工学+2
スライド 6 枚16:02EN
Matthew Berman· 2025年4月1日Runway Gen-4 Examples: Cinematic Motion, Style and Visible ErrorsMatthew Berman · Forward FutureMatthew Berman reviews early generated clips, praising their visual detail while identifying awkward interactions and inconsistent physics.画像と動画Generative media
スライド 5 枚26:05EN
Matthew Berman· 2025年3月31日Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI researchモデルと学習AI Safety+1
スライド 6 枚17:03EN
Matthew Berman· 2025年3月28日Matthew Berman Explores GPT-4o Image Generation and Its LimitsMatthew Berman · Forward FutureFrom animated trailer remakes to infographics and interface mockups, early examples show creative possibilities alongside persistent errors.Generative media画像と動画Creativity+2
スライド 6 枚18:31EN
Matthew Berman· 2025年3月26日Gemini 2.5 Pro Experimental: Coding Demos and Launch BenchmarksMatthew Berman · Forward FutureIn March 2025, Matthew Berman tests Google’s experimental model on interactive simulations and reviews its launch benchmarks, including their limits.GeminiコーディングエージェントBenchmarks+2
スライド 5 枚24:14EN
Matthew Berman· 2025年3月26日GPT-4o Image Generation: Launch Demos, Editing, and LimitationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman reviews OpenAI's March 2025 image-generation launch, testing text rendering, image editing, and visual consistency.Generative mediaMultimodal AIOpenAI+1
スライド 3 枚27:32EN
Matthew Berman· 2025年3月12日OpenAI’s Responses API and Agents SDK: A Launch WalkthroughMatthew Berman · Forward FutureMatthew Berman reacts to a launch demonstration of web and file search, computer use, agent handoffs and tracing.エージェント工学エージェントMCP とツール+1
スライド 3 枚21:48EN
Matthew Berman· 2025年3月5日Vibe Coding With Cursor and Windsurf: Berman’s 2025 WorkflowMatthew Berman · Forward FutureMatthew Berman shares project rules, testing habits and version-control practices from early experiments with coding agents.コーディングエージェント開発ワークフローとテストHuman-AI Collaboration+2
スライド 5 枚19:32EN
Matthew Berman· 2025年2月28日GPT-4.5’s Launch: Conversational Style, Benchmarks and CostMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s February 2025 research preview, its selected demonstrations, reported evaluations and high launch pricing.モデルと学習BenchmarksAI cost & performance+1
スライド 2 枚17:20EN
Matthew Berman· 2025年2月23日Vibe Coding a Login Page and an AI Tetris PlayerMatthew Berman · Forward FutureMatthew Berman experiments with AI-written code, iterates through failures and trains a basic game-playing agent.Vibe CodingコーディングエージェントReinforcement Learning+1
スライド 6 枚17:04EN
Matthew Berman· 2025年2月22日Training AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.Multi-agent systemsReinforcement Learning評価(Evals)+1
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