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12 件
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スライド 6 枚2:03:35EN
Matthew Berman· 2025年10月4日Agentic Commerce, Vibe Coding and Open AI Infrastructure: Forward Future LiveMatthew Berman, Nick Wentz, Emily Glassberg Sands, Eric Simons, Matt Hicks, Alex · Forward FutureStripe’s Emily Glassberg Sands, Bolt’s Eric Simons and Red Hat’s Matt Hicks discuss payments, software creation and inference in an October 2025 livestream.Agentic commerceコーディングエージェントOpen Source+2
スライド 4 枚12:30EN
Matthew Berman· 2025年3月7日QwQ-32B: A Smaller Reasoning Model and Its TradeoffsMatthew Berman · Forward FutureMatthew Berman examines Qwen’s reinforcement-learning recipe, tests a coding task, and compares benchmark scores and hardware requirements with DeepSeek-R1.Reasoning & test-time computeReinforcement LearningOpen Source+2
スライド 5 枚10:01EN
Matthew Berman· 2025年2月5日DeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.Reinforcement LearningGPU programming & kernelsAI research+2
スライド16:45EN
Matthew Berman· 2025年1月27日DeepSeek-R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines the January 2025 reaction to an open-weight reasoning model, disputed cost claims and competing views of future demand for AI chips.Foundation ModelsReasoning & test-time computeOpen Source+1
19:46EN
Matthew Berman· 2024年8月28日Linus Torvalds and Dirk Hohndel on AI Coding, Bugs and HypeMatthew Berman, Linus Torvalds, Dirk Hohndel · Forward FutureMatthew Berman reacts to two conversations about AI-assisted programming, code review, automation and open data.コーディングエージェントSoftware engineeringOpen Source+2
スライド 3 枚7:43EN
Matthew Berman· 2024年7月17日How to Run STORM for AI-Assisted ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates Stanford’s research tool, from its 2024 local setup to a cited article about dogs. The interface runs locally, while his demonstration relies on external AI and search APIs.AI agentsAI researchOpen Source+1
スライド9:19EN
Matthew Berman· 2024年3月28日Trying an Open-Source Answer Engine with Groq and OllamaMatthew Berman · Forward FutureMatthew Berman installs a Perplexity-inspired search app, demonstrates a hosted-model configuration and attempts an unfinished local-model integration.Search & retrievalLocal inferenceOpen Source+2
スライド 3 枚13:34EN
Matthew Berman· 2024年3月22日Open Interpreter’s 01 Lite: A Voice Interface for Computer ControlMatthew Berman · Forward FutureA 2024 product demonstration shows a voice-controlled assistant carrying out desktop workflows. Matthew Berman then tests the underlying Open Interpreter software and encounters both successes and errors.Computer usePersonal agentsOpen Source+1
スライド 4 枚3:48EN
Matthew Berman· 2024年2月15日Brilliant Labs Frame: AI Glasses, Open Code and a 2024 PreorderMatthew Berman · Forward FutureMatthew Berman reviews the launch presentation for Frame, including its display, AI partnerships and initial $349 non-prescription preorder.マルチモーダルとメディアProduct DesignOpen Source+1
スライド 3 枚6:56EN
Matthew Berman· 2024年2月7日Why Meta Said Open AI Infrastructure Serves Its BusinessMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman revisits Meta’s open-development history and Mark Zuckerberg’s 2024 case for sharing AI infrastructure.Open SourceOpen-weight modelsAI Strategy+2
スライド 3 枚13:43EN
Matthew Berman· 2023年11月9日PrivateGPT 2.0: A 2023 Guide to Local Document Chat and Its RoadmapMatthew Berman, Iván Martínez · Forward FutureMatthew Berman demonstrates the 2023 PrivateGPT local setup, document ingestion and API, then speaks with project creator Iván Martínez about privacy and planned features.RAG とナレッジLocal inferencePrivacy & data governance+2
スライド 6 枚5:14EN
Matthew Berman· 2023年8月7日Install AudioCraft Locally: A 2023 MusicGen and AudioGen WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates a Mac setup for generating music and sound effects, with historical commands and licensing context.Generative mediaLocal inferenceOpen Source