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37 件
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スライド 3 枚13:34EN
Matthew Berman· 2024年9月23日Sam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.AGI(汎用人工知能)Scaling Lawsエージェント+1
スライド 3 枚1:30:24EN
Matthew Berman· 2024年8月30日Daniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.エージェントセキュリティと安全性コーディングエージェント+2
スライド 5 枚18:43EN
Matthew Berman· 2024年8月22日Sakana AI's AI Scientist and the Prospect of Automated ResearchMatthew Berman · Forward FutureMatthew Berman explores a 2024 system for generating and evaluating machine-learning research, and argues that automation could eventually accelerate AI progress.AI for scienceAI researchエージェント+2
0:54EN
Matthew Berman· 2024年8月20日Eric Schmidt on AI Agents and Google's Competitive PositionMatthew Berman, Eric Schmidt · Forward FutureA short 2024 Stanford interview excerpt pairs a forecast about AI agents with a disputed explanation for Google's AI position.AI StrategyエージェントFuture of Work+1
スライド 8 枚21:02EN
Matthew Berman· 2024年4月16日Limitless Pendant: A 2024 AI Wearable Launch and Its Privacy PromisesMatthew Berman, Dan Siroker · Forward FutureMatthew Berman watches the original Limitless announcement, weighing its promised recording features, consent controls and price against the risk of buying future functionality.Personal agentsプロダクトと UXPrivacy & data governance+2
スライド 4 枚15:11EN
Matthew Berman· 2024年1月25日Building a Transcript-to-Article Team in AutoGen StudioMatthew Berman · Forward FutureMatthew Berman configures a retrieval skill, two agents and a group workflow, then troubleshoots missing credentials and output.エージェントエージェント工学
スライド 4 枚21:00EN
Matthew Berman· 2024年1月23日Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.RoboticsエージェントReinforcement Learning+2
スライド 5 枚29:58EN
Matthew Berman· 2024年1月10日Rabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.エージェントプロダクトと UXHuman-AI Collaboration+1
スライド 3 枚10:12EN
Matthew Berman· 2023年12月27日A 2023 Tutorial for a Family Tech-Support Bot on TelegramMatthew Berman · Forward FutureIn a Botpress-sponsored demonstration, Matthew Berman builds a friendly support assistant and connects a version to Telegram. The interface and account requirements are historical.Customer support automationエージェントWorkflow automation+1
スライド 3 枚4:42EN
Matthew Berman· 2023年10月17日Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.エージェントOpen-weight modelsインフラとデプロイ
スライド 3 枚4:57EN
Matthew Berman· 2023年3月2日How Microsoft Research Used ChatGPT to Guide Robots and DronesMatthew Berman · Forward FutureA 2023 research demonstration combines natural-language instructions, robot APIs and human review to generate code for physical and simulated tasks.RoboticsHuman-AI Collaborationエージェント+1