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353 件
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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
スライド 3 枚16:28EN
Matthew Berman· 2024年4月23日Testing Reka Core: Multimodal Benchmarks, Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman reviews Reka’s reported model comparisons and tests Core on code, logic and image understanding.Multimodal AIBenchmarksモデルと学習+1
スライド 2 枚21:48EN
Matthew Berman· 2024年4月22日Vinod Khosla’s 12 Predictions for Technology and AbundanceMatthew Berman · Forward FutureMatthew Berman responds to a venture capitalist’s vision for 2035–2049, from AI expertise and robots to transportation, energy and climate technology.AI StrategyFuture of WorkRobotics+2
スライド 3 枚15:01EN
Matthew Berman· 2024年4月19日Testing Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.Open-weight models評価(Evals)モデルと学習+1
スライド 5 枚15:35EN
Matthew Berman· 2024年4月18日Meta Llama 3 Launch: Benchmarks, a Snake Test and the Meta AI AssistantMatthew Berman · Forward FutureMatthew Berman reviews the April 2024 release, tries a generated game and considers what downloadable models mean for developers.Open-weight modelsモデルと学習Benchmarks+2
24:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月18日ポッドキャスト · 2 人Image Generation Is Still a Loot Box. Suhail Doshi Wants to Scale Pixelsホスト Sarah Guo, Elad GilThe Playground AI founder tells No Priors why he skipped language models, how a noise-sampling trick fixed SDXL's muddy brightness, and what a large vision model would actually do.マルチモーダルとメディアGenerative media画像と動画+3
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 5 枚19:46EN
Matthew Berman· 2024年4月15日Building a CrewAI Financial-Analysis Team on Lightning AIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 two-agent workflow, first using Groq and then connecting a cloud-hosted Ollama model.エージェント工学Multi-agent systems開発ワークフローとテスト+1
26:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月11日ポッドキャスト · 2 人GPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.企業と戦略エンタープライズ AIAI Strategy+3
スライド 3 枚18:47EN
Matthew Berman· 2024年4月7日What Anthropic’s Many-Shot Jailbreaking Research FoundMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study of long-context safety failures and the limits of its tested mitigations.AI SafetyAgent red teamingコンテキストエンジニアリング+1
24:22EN
Matthew Berman· 2024年4月4日Jonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.InferenceAI cost & performanceSemiconductors+2
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月28日ポッドキャスト · 2 人From a side project to 700 integrations: Harrison Chase on what still blocks agentsホスト Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.エージェントエージェント工学Agent memory+3
スライド 5 枚22:17EN
Matthew Berman· 2024年3月21日Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time computeモデルと学習AI research+2
スライド 7 枚18:42EN
Matthew Berman· 2024年3月20日Robot Demonstrations in 2024: 1X, NVIDIA, Spot and BeyondMatthew Berman · Forward FutureMatthew Berman surveys humanoid, quadruped, drone and defense robotics, distinguishing company demonstrations from general-purpose autonomy.RoboticsReinforcement LearningAI research
スライド 6 枚19:51EN
Matthew Berman· 2024年3月15日Devin’s 2024 Launch: Coding-Agent Demos and Benchmark ClaimsMatthew Berman, Scott Wu, Neal, Walden · Forward FutureMatthew Berman examines Cognition’s software-agent demonstrations, interface and SWE-bench comparison alongside earlier coding projects.コーディングエージェントSoftware engineeringBenchmarks+2
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