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420 件
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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
スライド 2 枚23:47EN
Matthew Berman· 2024年3月29日Andrew Ng’s Four Agentic Workflow Patterns, Explained by Matthew BermanMatthew Berman, Andrew Ng · Matthew BermanReflection, tools, planning and collaboration can turn a single model response into an iterative workflow, with reliability and cost tradeoffs.エージェント工学Multi-agent systemsBenchmarks+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
スライド 4 枚19:59EN
Matthew Berman· 2024年3月12日Testing Model Responses to Masked Harmful RequestsMatthew Berman · Forward FutureMatthew Berman compares refusals, decoding errors and inconsistent responses in informal 2024 experiments across several language models.AI SafetyAgent red teamingセキュリティと安全性+1
スライド 2 枚21:16EN
Matthew Berman· 2024年3月9日ArtPrompt: What a 2024 Study Found About Visual Text and Model SafetyMatthew Berman · Forward FutureMatthew Berman reviews an ASCII-art recognition benchmark and reports mixed results from his own informal tests.AI Safetyセキュリティと安全性評価(Evals)+1
スライド 6 枚22:27EN
Matthew Berman· 2024年3月6日OpenAI’s 2024 Response to Elon Musk’s Lawsuit: Funding, Control and OpennessMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s published account and emails while weighing contested claims about its founding mission, financing and whether AI research should remain open.OpenAIAI History安全性とガバナンス+2
15:58EN
Matthew Berman· 2024年3月2日Elon Musk on Self-Driving, AI Compute and Electricity ConstraintsElon Musk, Matthew Berman · TeslaA 2024 Bosch interview and Matthew Berman’s commentary explore autonomous vehicles, robots and the infrastructure needed for AI.Autonomous DrivingAGI TimelinesRobotics+2
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
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