絞り込み結果
87 件並び順
0:31EN
Matthew Berman· 2026年9月13日The Navier–Stokes Problem and OpenAI’s Claimed SolutionMatthew Berman · Forward FutureMatthew Berman uses a swirling fluid visualization to introduce a million-dollar mathematical problem and OpenAI’s September 2026 announcement.
0:58ENMatthew Berman· 2026年9月11日A Simulated Fruit Fly in Driving and Game DemosMatthew Berman · Forward FutureMatthew Berman shows virtual scenes of a fruit fly driving and playing games, then speculates about future brain simulations.
32:54ENMatthew 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.
13:32ENMatthew Berman· 2026年9月9日OpenAI’s Navier–Stokes Proof Claim, Research Credit, and the Future of AIMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s claim that AI agents produced a proof, a dispute over related research and data use, and what the episode might mean for AI-driven discovery.
0:59ENMatthew Berman· 2026年8月28日A Laser Device Aims to Target MosquitoesMatthew Berman · Forward FutureMatthew Berman describes a proposed laser-based mosquito defense and the capabilities claimed in a short promotional video.
0:55ENMatthew Berman· 2026年8月25日AGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.
25:34ENMatthew 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.
44:52ENMatthew 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.
1:31:56ENMatthew 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.
1:03ENMatthew Berman· 2026年5月9日Why EVE Online Is an Interesting Environment for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why the game's persistent economy and player alliances may offer a demanding test of long-term planning.
17:21ENMatthew Berman· 2026年4月25日DeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.
11:55ENMatthew Berman· 2026年3月10日A Simulated Fruit Fly Raises Questions About Brain EmulationMatthew Berman · Forward FutureMatthew Berman examines a connectome-based virtual fly and considers what it might mean for neuroscience, consciousness and simulation theory.
0:43ENMatthew Berman· 2026年3月10日A Cultured-Neuron Interface Controls DoomMatthew Berman · Forward FutureMatthew Berman describes a Cortical Labs demonstration that connects activity in cultured human neurons to actions in a video game.
1:48ENMatthew Berman· 2026年2月16日Matthew Berman on OpenClaw, AI Agent Networks and the Limits of the HypeMatthew Berman · Forward FutureBerman sees new possibilities in agent tools and social platforms while questioning sensational trading claims and assertions of AI sentience.
17:44ENMatthew Berman· 2026年1月17日Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.
1:30ENMatthew Berman· 2026年1月12日An AI-Generated Proof for Erdős Problem 397Matthew Berman · Forward FutureMatthew Berman discusses Neel Somani's GPT-5.2 Pro-assisted proof and speculates about self-improving AI. Later research found that the problem already had a published human solution.
8:16ENMatthew Berman· 2026年1月12日AI and Erdős Problem 397: A Verified Proof, Prior Work and the Prospect of Self-ImprovementMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted mathematics and argues that algorithmic discoveries could accelerate AI development, while the history of problem 397 adds important context.
1:56ENMatthew Berman· 2025年11月10日Can a Language Model Detect an Injected Concept?Matthew Berman · Forward FutureMatthew Berman discusses an Anthropic experiment in which models sometimes report an artificial change to their internal activations.
8:42ENMatthew Berman· 2025年10月22日DeepSeek-OCR and the Idea of Visual Context CompressionMatthew Berman · Forward FutureMatthew Berman examines a 2025 OCR model and the possibility of representing document text with fewer vision tokens.
13:53ENMatthew Berman· 2025年10月10日Tiny Recursive Models and the Limits of Puzzle Benchmark ComparisonsMatthew Berman · Forward FutureMatthew Berman examines a small recursive network that reports strong ARC and Sudoku results, and what its experimental setup means.
14:47ENMatthew Berman· 2025年9月18日AI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.
16:29ENMatthew Berman· 2025年9月17日What Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.
8:47ENMatthew Berman· 2025年9月16日Why Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.
15:26ENMatthew Berman· 2025年9月4日September 2025 AI News: xAI Litigation, Microsoft Models, Anthropic and Medical ResearchMatthew Berman · Forward FutureMatthew Berman reviews model releases, company funding, an antitrust ruling, robot demos and a study of subtle movement in brain-injured patients.もっと見る87 件中 24 件を表示