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353 件
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スライド 4 枚16:11EN
Matthew Berman· 2024年6月22日AI News in June 2024: SSI, Tree Search, Meta, Claude and ARC PrizeMatthew Berman · Forward FutureMatthew Berman reviews new AI research, product launches and a competition, with context on historical benchmarks and uncertain claims.AI researchモデルと学習AI Safety+2
スライド 4 枚16:49EN
Matthew Berman· 2024年6月21日How Apple's On-Device and Private Cloud Models WorkMatthew Berman · Forward FutureMatthew Berman examines Apple's 2024 foundation-model overview, from training data and quantization to task adapters and human evaluations.Local inferenceモデルと学習Privacy & data governance+1
27:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月20日ポッドキャスト · 2 人A 40-Person Company With 40,000 Paying Customers Wants to Replace the Camera With AIホスト Sarah Guo, Elad GilHeyGen CEO Joshua Xu tells Sarah Guo and Elad Gil how avatars, localization, and a component-wise video stack are meant to knock the camera out of content production.マルチモーダルとメディアGenerative media画像と動画+3
スライド 3 枚16:06EN
Matthew Berman· 2024年6月18日AI News: Video Generation, Apple Intelligence, Robotics and DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman reviews a week of launches and research, from Luma and Runway to NVIDIA, robotics and coding models.Generative mediaRoboticsOpen-weight models+1
27:37EN
Matthew Berman· 2024年6月17日Leo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.コンテキストエンジニアリングモデルと学習Inference+2
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月11日ポッドキャスト · 2 人Why a Zapier founder thinks AGI research has been stalled for four yearsホスト Sarah Guo, Elad GilMike Knoop and François Chollet put more than a million dollars on beating ARC-AGI, the eval they say actually measures general intelligence.評価とオブザーバビリティAGI(汎用人工知能)Benchmarks+3
スライド 6 枚17:03EN
Matthew Berman· 2024年6月8日Qwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.Open-weight modelsBenchmarksLocal inference+2
スライド 3 枚21:13EN
Matthew Berman· 2024年6月6日AI Workers’ Right to Warn and the Debate Over AGI SafetyMatthew Berman · Forward FutureMatthew Berman examines a 2024 open letter on speaking up about AI risks alongside predictions from former OpenAI employees Leopold Aschenbrenner and Daniel Kokotajlo.AI SafetyAI RegulationModel Interpretability+2
スライド 4 枚24:06EN
Matthew Berman· 2024年5月30日OpenAI’s 2023 Board Crisis: Helen Toner’s Account and the Governance DebateMatthew Berman, Helen Toner · Forward FutureMatthew Berman examines a former director’s allegations, a subsequent review and competing views on AI safety oversight.OpenAIAI Safety安全性とガバナンス+2
スライド 3 枚15:20EN
Matthew Berman· 2024年5月26日OpenAI Exit Agreements: Vested Equity, Reporting and the Company’s ResponseMatthew Berman · Forward FutureMatthew Berman discusses Vox’s reporting on departure documents and distinguishes equity cancellation from access to private-company tender offers.Company CultureCareersLeadership
スライド 4 枚25:00EN
Matthew Berman· 2024年5月23日Microsoft Build 2024: Copilot+ PCs, Phi-3 and AI DemosMatthew Berman, Satya Nadella, Sam Altman, Seth Juarez · Forward FutureMatthew Berman reviews selected Microsoft keynote announcements, product demonstrations and a conversation with Sam Altman.AI platform engineeringLocal inferenceMultimodal AI+2
スライド 5 枚27:35EN
Matthew Berman· 2024年5月15日Google I/O 2024: Gemini, Astra and AI Agents Across Google's ProductsMatthew Berman, Sundar Pichai, Demis Hassabis · Forward FutureMatthew Berman reviews Google's 2024 AI announcements, from long-context Gemini and Ask Photos to Project Astra, Veo and proposed Workspace agents.Multimodal AIAI agentsGenerative media+2
スライド 7 枚25:07EN
Matthew Berman· 2024年5月14日Google I/O 2024: Gemini, Project Astra and AI Across Google’s ProductsSundar Pichai, Josh Woodward, Demis Hassabis · GoogleA guided look at Google’s 2024 demonstrations, from multimodal assistants and generative media to Workspace, Android and developer models.GeminiMultimodal AIAI agents+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
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日ポッドキャスト · 2 人The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plantホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.インフラとデプロイAI cost & performanceコンテキストエンジニアリング+3
スライド 5 枚16:25EN
Matthew Berman· 2024年5月8日Visualization-of-Thought and an Open-Source Windows AssistantMatthew Berman · Forward FutureMatthew Berman explains a spatial-reasoning prompting experiment and examines desktop automation demos from the separate PyWinAssistant project.Prompting & in-context learningAI researchBenchmarks+2
スライド 7 枚15:59EN
Jane Street· 2024年5月7日Tail Calls and Local Regions in OCamlRichard Eisenberg · Jane StreetA list-counting example reveals why a local closure can escape at a tail call, and how regional mode and [@nontail] affect the result.Programming LanguagesSoftware engineeringDeveloper productivity
スライド 6 枚20:00EN
Matthew Berman· 2024年5月7日GitHub Copilot Workspace, Amazon Q and Sam Altman on AI’s Next StepsMatthew Berman, Sam Altman · Forward FutureA May 2024 roundup examines task-centered coding assistants, Rabbit R1, AI infrastructure, generated video and voice cloning.コーディングエージェント開発ワークフローとテストエンタープライズ AI+2
29:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月2日ポッドキャスト · 2 人Devin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott Wuホスト Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.コーディングエージェントエージェント工学Developer productivity+3
スライド 4 枚16:22EN
Matthew Berman· 2024年5月2日Harrison Chase on Planning, Interface Design and Memory for AI AgentsMatthew Berman, Harrison Chase · Forward FutureThe LangChain CEO outlines open questions for agent builders, with commentary from Matthew Berman on oversight, workflows and memory.AI agentsAgent orchestrationAgent memory+2
スライド 4 枚17:12EN
Matthew Berman· 2024年4月30日Testing the Mystery 'gpt2-chatbot' Model in April 2024Matthew Berman · Forward FutureMatthew Berman tries an anonymous model on coding, arithmetic and reasoning tasks while its identity remains uncertain.Benchmarksモデルと学習コーディングエージェント+1
スライド 9 枚19:09EN
Matthew Berman· 2024年4月28日OSWorld: Evaluating Computer-Use Agents in Real ApplicationsMatthew Berman · Forward FutureMatthew Berman explains the 2024 benchmark’s observation–action loop, task-specific checks and early results, with the limitations of its experimental setup.Computer use評価(Evals)Benchmarks+1
スライド 3 枚17:35EN
Matthew Berman· 2024年4月26日Rabbit R1 Review: Strong Hardware, Uneven Early SoftwareMatthew Berman · Forward FutureMatthew Berman tests the handheld AI device’s voice answers, camera, connected services and battery life in its April 2024 launch period.プロダクトと UXPersonal agentsAI Adoption+2
スライド 7 枚21:47EN
Matthew Berman· 2024年4月24日Phi-3 Mini: Microsoft’s Small Model, Phone Deployment and an Uncertain Local TestMatthew Berman · Forward FutureMatthew Berman reviews Microsoft’s 2024 technical report and runs informal prompts, with an unresolved model label in the demonstration.Local inferenceモデルと学習Benchmarks+1
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