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97 件
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スライド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.MathematicsPhysicsAI research+1
スライド 4 枚0:58EN
Matthew 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.Neuroscience & AISimulation HypothesisAI research+1
スライド0:59EN
Matthew 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.AI researchPublic HealthComputer Vision
0:55EN
Matthew 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.AGI(汎用人工知能)AGI TimelinesAI research
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
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Matthew 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.エージェントReinforcement LearningMulti-agent systems+1
スライド 2 枚17:21EN
Matthew 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.Open-weight modelsAI cost & performanceGeopolitics+2
スライド 5 枚11:55EN
Matthew 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.Computational BiologyNeuroscienceConsciousness+2
スライド0:43EN
Matthew 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.Neuroscience & AIBrain-Computer InterfacesAI research
スライド 3 枚1:24:44EN
Matthew Berman· 2026年2月7日Forward Future Live: Portable AI Infrastructure, Software and Formal ProofMatthew Berman, Nick Wentz, Tim Davis, Joseph Floyd, Carina Hong · Forward FutureTim Davis, Joseph Floyd and Carina Hong join Matthew Berman and Nick Wentz for a February 2026 discussion.インフラとデプロイエンタープライズ AIAI research+1
スライド1:30EN
Matthew 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.MathematicsAI researchAGI(汎用人工知能)
スライド 3 枚8:16EN
Matthew 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.MathematicsAI for scienceAI research+2
スライド1:56EN
Matthew 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.Model InterpretabilityConsciousnessAI research
スライド 4 枚2:07:36EN
Matthew Berman· 2025年11月8日AI Agents, Video Creation and Chipmaking: Forward Future LiveMatthew Berman, Nick Wentz, Alex Mashrabov, Ben Goodger, João Moura, Jeff Koch · Forward FutureA November 2025 livestream brings together leaders from Higgsfield, OpenAI and CrewAI, plus a semiconductor analyst, to discuss AI products and infrastructure.エージェントGenerative mediaインフラとデプロイ+2
スライド 5 枚2:14:35EN
Matthew Berman· 2025年10月25日Optical AI, Search Visibility and the Economics of the AI BoomMatthew Berman, Nick, Francesca Parmigiani, Alex Sherman, Matt Wolfe, Siqi Chen · Forward FutureA 2025 livestream examines Microsoft’s optical computing research, how AI changes marketing and shopping, and debates over superintelligence and AI investment.AI researchAI Strategyインフラとデプロイ+2
スライド 3 枚8:42EN
Matthew 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.Document understanding & OCRMultimodal AIコンテキストエンジニアリング+1
スライド 5 枚16:12EN
Matthew Berman· 2025年10月18日AI News in October 2025: Claude Skills, DGX Spark and a Proposed AGI MeasureMatthew Berman, Jensen Huang, Elon Musk, Jeff Bezos · Forward FutureMatthew Berman reviews product announcements, early research and predictions, from reusable agent skills to orbital data centers.Agent skillsAI researchインフラとデプロイ+2
スライド 6 枚13:53EN
Matthew 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.AI researchBenchmarksReasoning & test-time compute+1
スライド 5 枚14:47EN
Matthew 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.AI researchAI agentsBenchmarks+2
スライド 4 枚8:47EN
Matthew 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.InferenceAI researchオブザーバビリティと信頼性+1
スライド 7 枚15:26EN
Matthew 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.AI researchAI in healthcareFoundation Models+2
スライド 9 枚1:50:08EN
Matthew Berman· 2025年8月22日ARC-AGI, Agent Memory and Interactive Worlds: Forward Future LiveMatthew Berman, Nick Wentz, Greg Kamradt, Charles Packer, Alan · Forward FutureGreg Kamradt, Charles Packer and Skywork AI’s Alan join Matthew Berman and Nick Wentz to examine how AI systems learn, remember and interact with environments.評価(Evals)AI agentsAI research+2
スライド 4 枚18:40EN
Matthew Berman· 2025年8月21日AI News in August 2025: Model Memory, Image Editing, Coding Agents and RobotsMatthew Berman · Forward FutureMatthew Berman reviews early reports on GPT-6, DeepSeek V3.1, Qwen image editing, developer tools and humanoid demonstrations. Several claims were previews, company statements or unconfirmed reports.AI StrategyAI agentsRobotics+2
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