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353 件
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スライド 7 枚16:27EN
Matthew Berman· 2024年2月29日Matthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.Generative media画像と動画Deep Learning+1
スライド 7 枚21:41EN
Matthew Berman· 2024年2月28日Google Genie and the Idea of Generated Interactive WorldsMatthew Berman · Forward FutureMatthew Berman explores early world-model research, generated media and simulated agents while imagining a future of personalized games.World modelsGenerative mediaRobotics+2
スライド 2 枚18:40EN
Matthew Berman· 2024年2月23日Rabbit R1 Before Release: Questions About Cost, Actions and PrivacyMatthew Berman, Jesse Lyu, Jason Calacanis · Forward FutureIn a Rabbit-sponsored February 2024 video, Matthew Berman relays the company's answers and interviews its founder through excerpts.Personal agentsAI interface designPrivacy & data governance+1
スライド 3 枚23:00EN
Matthew Berman· 2024年2月22日Testing Google Gemma 7B at Launch: Setup MattersMatthew Berman · Forward FutureMatthew Berman compares local and hosted tests of Google’s early open-weight model.Open-weight models評価(Evals)モデルと学習
スライド 7 枚15:56EN
Matthew Berman· 2024年2月21日Sora, World Models, and the Speculation Around Simulated RealityMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s early Sora videos and researchers’ ideas about learned physics, future games, and simulation theory.World modelsGenerative mediaSimulation Hypothesis+2
スライド 5 枚23:25EN
Jane Street· 2024年2月20日Richard Eisenberg: How OCaml Locals Reduce Garbage-Collected AllocationRichard Eisenberg · Jane StreetAn annotated list-processing example shows why locality must be preserved both when values are created and when functions consume them.Programming LanguagesSoftware engineering
スライド27:07EN
Matthew Berman· 2024年2月14日Sam Altman on AI Abundance, Regulation and the Economics of ComputeMatthew Berman, Sam Altman, Chamath Palihapitiya · Forward FutureA 2024 World Governments Summit interview is followed by Matthew Berman’s discussion of chip investment and open-model competition.AGI(汎用人工知能)AI RegulationAI Strategy+2
スライド 3 枚22:27EN
Jane Street· 2024年2月7日How OCaml Infers LocalityRichard Eisenberg · Jane StreetA look at local and global mode inference, module signatures, mode crossing for integers, and conversions between function types.Programming LanguagesSoftware engineering
スライド 3 枚26:37EN
Matthew Berman· 2024年2月6日Apple Vision Pro After 72 Hours: Strengths, Friction and AI PotentialMatthew Berman · Forward FutureMatthew Berman reviews the first-generation headset’s controls, comfort, apps and immersive experience, then considers its potential for AI.Product StrategyHuman-AI Collaboration
スライド 5 枚15:17EN
Jane Street· 2024年1月31日OCaml Locals, Modes, and SubmodingRichard Eisenberg · Jane StreetA worked explanation of how local and global modes control escaping values, and how those modes interact with function types.Programming LanguagesSoftware engineering
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
19:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月11日ポッドキャスト · 2 人The World's Only Capped-Profit Companyホスト Sarah Guo, Elad GilNo Priors looks back at 2023 through eight conversations on money, intelligence, jobs, and who should put the guardrails on a model.企業と戦略AI StrategyCompany Building+3
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 2 枚25:14EN
Matthew Berman· 2023年12月29日The New York Times’ OpenAI Lawsuit: Claims, Fair Use and Requested RemediesMatthew Berman, Elon Musk · Forward FutureMatthew Berman reviews the 2023 complaint against OpenAI and Microsoft, with context on disputed claims and a later Midjourney case.AI RegulationOpenAIGenerative media+1
スライド 5 枚24:54EN
Matthew Berman· 2023年12月22日Matthew Berman's 2023 Prediction for AI and the Future of ProgrammingMatthew Berman, Matt Welsh, McKay Wrigley · Forward FutureBerman argues that natural-language interfaces and AI agents could transform software development, while acknowledging the limits of coding tools and his uncertain timeline.Software engineeringコーディングエージェントHuman-AI Collaboration+2
スライド 5 枚17:08EN
Matthew Berman· 2023年12月21日Building and Testing a Login App With GPT PilotMatthew Berman · Forward FutureMatthew Berman demonstrates the 2023 VS Code workflow for AI-assisted planning, coding and debugging an authentication prototype.コーディングエージェント開発ワークフローとテストAI security+1
スライド 5 枚19:37EN
Matthew Berman· 2023年12月13日How Rephrased Test Data Inflated a 13B Model’s Benchmark ScoresMatthew Berman · Forward FutureMatthew Berman examines a 2023 experiment showing how reworded benchmark questions can evade simple contamination checks and inflate model scores.Benchmarks評価(Evals)Data quality & curation+2
スライド 8 枚20:49EN
Matthew Berman· 2023年12月12日Mixtral 8x7B: Mixture-of-Experts Architecture, Setup and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews Mistral AI’s December 2023 open-weight model, demonstrates a cloud setup and tests its coding and reasoning responses.モデルと学習Open-weight modelsInference+2
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年12月7日ポッドキャスト · 2 人Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inningホスト Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.企業と戦略エンタープライズ AIAI Strategy+3
スライド 10 枚26:52EN
Matthew Berman· 2023年12月7日Google’s Gemini Launch: Multimodal Demos, Benchmarks and Research ApplicationsMatthew Berman · Forward FutureMatthew Berman reviews Google’s December 2023 Gemini report and promotional demonstrations, from visual reasoning to scientific literature screening.GeminiMultimodal AIBenchmarks+2
スライド 4 枚18:29EN
Matthew Berman· 2023年12月1日OpenAI's 2023 Leadership Crisis, Q* Speculation and Synthetic DataMatthew Berman, Andrew Ross Sorkin, Elon Musk · Forward FutureMatthew Berman connects Sam Altman's return, an Elon Musk interview and Nathan Lambert's discussion of synthetic training data, separating reported events from his own theories.Synthetic dataOpenAIAI Safety+2
スライド 3 枚17:51EN
Matthew Berman· 2023年11月20日OpenAI’s 2023 Leadership Crisis and What Happened NextMatthew Berman · Forward FutureMatthew Berman reviews Sam Altman’s abrupt dismissal and the employee response as events stood on November 20, 2023; subsequent developments changed the outcome.OpenAIAI HistoryCompany Building+2
スライド 4 枚17:43EN
Matthew Berman· 2023年11月6日OpenAI DevDay 2023: GPT-4 Turbo, Custom GPTs and Developer ToolsMatthew Berman, Sam Altman, Satya Nadella · Forward FutureMatthew Berman reviews OpenAI’s 2023 announcements, from longer context and cheaper API calls to custom GPTs and their implications for developers.OpenAIインフラとデプロイエージェント工学+2
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