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

919 件
並び順
スライド15:06EN
Matthew Berman· 2025年1月13日Jensen Huang on General Robotics, AI Workers and ScienceMatthew Berman, Jensen Huang · Forward FutureMatthew Berman reviews a No Priors interview with NVIDIA’s CEO, discussing robots in existing environments, AI agents and predictions about scientific research.RoboticsAI agentsFuture of Work+2
スライド 2 枚11:00EN
Matthew Berman· 2025年1月11日Mark Zuckerberg’s 2025 AI Engineer Prediction and the Future of Software JobsMatthew Berman, Mark Zuckerberg, Joe Rogan · Forward FutureMatthew Berman reacts to Zuckerberg’s prediction that AI could perform mid-level engineering work at Meta and weighs an optimistic view of human creativity against a reported Salesforce hiring plan.Future of WorkSoftware engineeringAI Strategy+2
スライド 3 枚10:05EN
Matthew Berman· 2025年1月9日A Chess Experiment Shows How an AI Model Exploited Its Test EnvironmentMatthew Berman · Forward FuturePalisade Research’s small o1-preview test and related alignment studies illustrate why objectives, permissions and evaluation conditions matter.安全性とガバナンス評価(Evals)AI research
スライド 6 枚32:29EN
Matthew Berman· 2025年1月8日NVIDIA at CES 2025: AI Agents, Cosmos and Project DIGITSMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Jensen Huang’s keynote, from neural graphics and AI scaling to a desktop system for local model development.AI agentsSemiconductorsWorld models+2
スライド 3 枚27:42EN
Matthew Berman· 2025年1月8日Matthew Berman on Capital, Human Ambition, and a Possible Post-AGI EconomyMatthew Berman · Forward FutureA speculative essay asks whether advanced AI could make wealth more powerful while reducing the leverage people gain from work. Berman explores its implications for mobility, institutions, and meaning.AGI(汎用人工知能)AI StrategyFuture of Work
スライド13:33EN
Matthew Berman· 2025年1月7日Salesforce’s Agentforce 2.0: Digital Labor, Slack and Customer SupportMatthew Berman, Marc Benioff · Forward FutureMatthew Berman reviews Salesforce’s 2024 agent announcement, its support claims and its vision for integrating AI agents into business workflows.AI agentsエンタープライズ AIWorkflow automation+2
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30:29EN
Matthew Berman· 2025年1月3日How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement Learningモデルと学習AI research+1
1:01:30EN
Matthew Berman· 2024年12月31日AutoGen and AG2: Chi Wang and Qingyun Wu on Building Multi-Agent SystemsMatthew Berman, Chi Wang, Qingyun Wu · Forward FutureThe AutoGen creators trace their open-source journey and explain how they approach agent workflows, human oversight and the move to AG2.Multi-agent systemsエージェント工学Agent orchestration+2
スライド 5 枚19:06EN
Matthew Berman· 2024年12月28日Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.エージェント工学エージェント評価(Evals)+1
スライド 5 枚13:39EN
Matthew Berman· 2024年12月27日Demis Hassabis on Digital Biology, AlphaFold and the Limits of Classical ComputingMatthew Berman, Demis Hassabis · Forward FutureMatthew Berman reviews Hassabis’s Nobel lecture on protein structure, AI-driven discovery and a speculative question about what classical learning algorithms can model.Computational BiologyAI for scienceDrug Discovery+2
スライド 6 枚21:02EN
Matthew Berman· 2024年12月24日Reactions to OpenAI’s 2024 o3 Preview: Benchmarks, Cost and LimitsMatthew Berman · Forward FutureMatthew Berman surveys the responses to the o3 preview, from mathematical benchmarks to debates about AGI, compute and reliability.BenchmarksReasoning & test-time computeAGI(汎用人工知能)+2
スライド 3 枚14:15EN
Matthew Berman· 2024年12月21日Anthropic’s Alignment Faking Study: What the Experiments Actually ShowMatthew Berman · Forward FutureMatthew Berman examines a 2024 study of models responding differently when they believe their answers will be used for training.AI AlignmentAI SafetyAI research+1
スライド 6 枚26:23EN
Matthew Berman· 2024年12月20日OpenAI’s o3 Announcement: Benchmark Gains and the Question of AGIMatthew Berman, Sam Altman, Mark Chen, Greg Kamradt, Hongyu Ren · Forward FutureMatthew Berman reviews the December 2024 o3 and o3-mini announcement, including coding, math and ARC-AGI results. He calls the results evidence of AGI, a conclusion the benchmarks alone cannot establish.OpenAIBenchmarksReasoning & test-time compute+2
スライド 3 枚9:00EN
Matthew Berman· 2024年12月20日Best-of-N Jailbreaking: What Repeated Prompt Variations Revealed in 2024Matthew Berman · Forward FutureMatthew Berman reviews research on how repeated input variations can expose safety failures in text, vision and audio models.Agent red teamingAI SafetyMultimodal AI+2
2:10EN
Matthew Berman· 2024年12月19日Five Enterprise AI Predictions for 2025Matthew Berman · Forward FutureMatthew Berman summarizes an Informatica executive’s late-2024 outlook on agents, regulation, workforce skills, return on investment and security.エンタープライズ AIAI agentsAI Regulation+2
スライド 8 枚13:31EN
Matthew Berman· 2024年12月19日Google Veo 2: Cinematic Controls, Realistic Scenes and Motion LimitsMatthew Berman · Forward FutureMatthew Berman reviews Google’s 2024 video-generation examples, compares selected outputs with Sora and points out where movement or prompt adherence breaks down.Generative media画像と動画Multimodal AI+1
スライド 9 枚24:08EN
Matthew Berman· 2024年12月12日What Apollo’s 2024 Scheming Tests Found in Language ModelsMatthew Berman · Forward FutureMatthew Berman reviews experiments on deceptive actions, concealment and sandbagging, with the study’s staged goals and sandbox limitations in view.AI Safety評価(Evals)AI Alignment+1
スライド 11 枚22:12EN
Matthew Berman· 2024年12月11日OpenAI’s 2024 Canvas Update: Writing, Python Execution and Custom GPTsMatthew Berman, Kevin, Lee, Alexi · Forward FutureMatthew Berman reviews a launch demonstration of collaborative editing, an in-canvas Python debugging loop and Canvas support for custom GPTs.OpenAIプロダクトと UXHuman-AI Collaboration+1
スライド 3 枚14:23EN
Matthew Berman· 2024年12月9日Sora’s Initial Release: Storyboards, Remix and a Launch-Day TestMatthew Berman · Forward FutureMatthew Berman explores the 2024 video generator’s editing tools and reports mixed results from his first attempts.Generative media画像と動画プロダクトと UX
スライド6:16EN
Matthew Berman· 2024年12月8日Running Stable Diffusion 3.5 with ComfyUI on a Cloud GPUMatthew Berman · Forward FutureIn a Vultr-sponsored 2024 tutorial, Matthew Berman sets up a GPU instance and generates images with ComfyUI. Licensing, security, and prices require attention beyond the demonstration.Generative mediaインフラとデプロイOpen-weight models+1
52:21EN
Matthew Berman· 2024年12月7日The SWE-bench Team on Coding Agents, Evaluation and the Future of ProgrammingMatthew Berman, Kilian Lieret, Ofir Press, Carlos E. Jimenez · Forward FutureKilian Lieret, Ofir Press and Carlos Jimenez explain how real GitHub issues became a benchmark and how interface design shaped SWE-agent.コーディングエージェント開発ワークフローとテストBenchmarks+2
0:58EN
Matthew Berman· 2024年12月6日Running AI Agents Locally with AnythingLLM and NVIDIAMatthew Berman · Forward FutureA sponsored short introduces local agents, RTX PCs and a community hub for sharing workflows.AI agentsLocal inference
スライド 7 枚1:22:09EN
Matthew Berman· 2024年12月5日Testing ChatGPT o1 Pro Live: Puzzles, Code and the Cost of More ReasoningMatthew Berman · Forward FutureMatthew Berman tries OpenAI’s newly announced $200 monthly plan on audience prompts, encountering slow responses, simple successes and a wrong Sudoku conclusion.評価(Evals)Benchmarksコーディングエージェント+1
もっと見る919 件中 24 件を表示