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899 件
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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 3 枚7:33EN
Matthew Berman· 2025年4月4日Ace Computer-Use Agent: Fast Desktop and Browser DemonstrationsMatthew Berman · Forward FutureMatthew Berman reviews General Agents’ examples and reported click accuracy and latency, while noting he has not yet tested Ace himself.Computer useエージェントBenchmarks
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11:31EN
Matthew Berman· 2025年3月29日AI News in March 2025: GPT-4o, Gemini, DeepSeek and MCPMatthew Berman · Forward FutureMatthew Berman reviews model updates, the ARC-AGI-2 benchmark, image generators and early adoption of Model Context Protocol.Foundation ModelsBenchmarksMCP+2
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 2 枚1:14EN
Matthew Berman· 2025年3月27日NVIDIA NIM Microservices Bring Packaged AI Models to RTX PCsMatthew Berman · Forward FutureIn an NVIDIA-sponsored short, Matthew Berman introduces local AI microservices, compatible applications and the planned PDF-to-podcast workflow.インフラとデプロイLocal inferenceAI agents
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0:51EN
Matthew Berman· 2025年3月21日Claude Adds Web Search: A First LookMatthew Berman · Forward FutureMatthew Berman enables Claude’s web search and tries a query about his latest YouTube video in March 2025.AnthropicSearch & retrievalDeveloper productivity
スライド 6 枚8:35EN
Matthew Berman· 2025年3月21日AI News: Vibe Jam, Mistral Small 3.1 and New Audio ModelsMatthew Berman · Forward FutureMatthew Berman surveys March 2025 releases, from AI-assisted games and local models to search, audio and creative tools.Foundation ModelsVibe Coding音声 AI+2
スライド 4 枚14:53EN
Matthew Berman· 2025年3月20日OpenAI’s 2025 Audio Models and Voice Agent ToolsMatthew Berman · Forward FutureMatthew Berman reviews a launch demonstration of transcription, controllable speech synthesis and agent tracing.音声 AIAI agentsMultimodal AI+1
9:02EN
Matthew Berman· 2025年3月13日Dario Amodei’s 2025 AI Coding Forecast and Matthew Berman’s ResponseMatthew Berman, Dario Amodei, Mark Zuckerberg · Forward FutureBerman considers a rapid forecast for AI-written code, the rise of coding agents, and speculative longer-term changes to software work.コーディングエージェントFuture of WorkVibe Coding+2
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 4 枚12:30EN
Matthew Berman· 2025年3月7日QwQ-32B: A Smaller Reasoning Model and Its TradeoffsMatthew Berman · Forward FutureMatthew Berman examines Qwen’s reinforcement-learning recipe, tests a coding task, and compares benchmark scores and hardware requirements with DeepSeek-R1.Reasoning & test-time computeReinforcement LearningOpen Source+2
スライド 6 枚12:10EN
Matthew Berman· 2025年3月6日Mercury Coder and Diffusion Language Models: Speed, Demos and LimitsMatthew Berman · Forward FutureMatthew Berman explores Inception’s 2025 coding model, comparing iterative text refinement with autoregressive generation and examining speed claims.モデルと学習Inferenceコーディングエージェント+2
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 8 枚10:31EN
Matthew Berman· 2025年2月26日Grok 3 and AI-Assisted Game Prototypes: A Tour of Creator DemosMatthew Berman · Forward FutureMatthew Berman explores browser games and generative art shared in February 2025, then recreates a simple 3D maze.コーディングエージェントGenerative media開発ワークフローとテスト+1
スライド 5 枚7:59EN
Matthew Berman· 2025年2月25日Grok 3’s Brief Misinformation Filter and the Question of AI BiasMatthew Berman · Forward FutureMatthew Berman examines an instruction that told Grok to disregard sources linking Elon Musk and Donald Trump to misinformation, and xAI’s explanation of how it reached users.AI Safety安全性とガバナンスAI research+1
スライド 4 枚9:35EN
Matthew Berman· 2025年2月25日Claude 3.7 Sonnet and Claude Code: An Early Coding TestMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s 2025 launch benchmarks and builds an AI-controlled Snake game, then tests math and recent information.コーディングエージェントBenchmarksAnthropic+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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