最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

12 件
並び順
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 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 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 3 枚16:25EN
Matthew Berman· 2025年1月18日Why Test-Time Compute Could Reshape AI InferenceMatthew Berman, Lisa Su, Jensen Huang · Forward FutureMatthew Berman explains how extra computation at inference can improve model outputs, and why hardware executives expect a much larger inference market.AI researchモデルと学習AI cost & performance+1
スライド 4 枚15:34EN
Matthew Berman· 2025年1月6日Sam Altman on AGI and Superintelligence: A 2025 DiscussionMatthew Berman, Ray Kurzweil, Lex Fridman · Forward FutureMatthew Berman examines Altman’s statements about AGI, the singularity and possible AI-driven scientific progress.AGI(汎用人工知能)AI SafetyAI research+1
スライド 2 枚35:30EN
Matthew Berman· 2024年9月6日Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.モデルと学習Data quality & curation評価(Evals)+2
スライド27:07EN
Matthew Berman· 2024年5月14日GPT-4o's Launch: Voice, Vision and a More Conversational InterfaceMatthew Berman, Mira Murati · Forward FutureMatthew Berman reviews OpenAI's May 2024 demonstrations of GPT-4o and considers what a faster multimodal assistant could enable.AI researchプロダクトと UXモデルと学習
スライド 7 枚12:34EN
Matthew Berman· 2024年3月14日Figure 01 and the Path Toward More Capable RobotsMatthew Berman, Lex Fridman, Yann Lecun · Forward FutureMatthew Berman surveys humanoid and other robotics demonstrations, then shares Yann LeCun’s view on the work still needed for general-purpose robots.RoboticsWorld modelsHuman-AI Collaboration+2
スライド 2 枚35:22EN
Matthew Berman· 2024年1月3日Matthew Berman’s Ten AI Predictions for 2024Matthew Berman, Mark Zuckerberg, Lex Fridman, Jaron Lanier, Joon Park, Elon Musk · Forward FutureAn early-2024 forecast covers model releases, robotics, agents, synthetic data and the risks of increasingly convincing bots.AI researchOpen-weight modelsRobotics+2
スライド 3 枚35:16EN
Matthew Berman· 2023年11月28日What Was Known About Q* in 2023—and What Was SpeculationMatthew Berman, Sam Altman, Andrej Karpathy · Forward FutureMatthew Berman surveys rumors, reasoning papers and self-play analogies after OpenAI’s leadership crisis, with important limits on what was verified.AI researchReasoning & test-time computeOpenAI+2
スライド 4 枚32:14EN
Matthew Berman· 2023年10月20日MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.Agent memoryコンテキストエンジニアリング検索拡張生成(RAG)+2