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249 件
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スライド 10 枚15:20EN
Matthew Berman· 2024年10月24日AI News: Copilot Agents, Claude Computer Use and New Generative MediaMatthew Berman · Forward FutureMatthew Berman surveys a crowded week of AI announcements in October 2024, from enterprise agents and open models to image, video and voice tools.AI agentsComputer useOpen-weight models+2
26:08EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月3日ポッドキャスト · 2 人Fewer Than 3% of Deals Get Investigated. Selling to the Monopolist Is What Triggers the FTC.ホスト Sarah Guo, Elad GilChair Lina Khan tells No Priors how merger review actually works in AI markets, why open-weight models matter, and why the agency banned most non-competes.企業と戦略AI RegulationOpen-weight models+3
スライド 2 枚9:15EN
Matthew Berman· 2024年9月25日Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
スライド 4 枚11:14EN
Matthew Berman· 2024年9月18日Pixtral 12B: Testing a 2024 Vision-Language ModelMatthew Berman · Forward FutureMatthew Berman runs informal image, text and interface-generation tests of Mistral’s Pixtral on a sponsor-provided cloud GPU.Multimodal AI画像と動画Open-weight models+1
スライド 5 枚19:38EN
Matthew Berman· 2024年9月9日Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.BenchmarksOpen-weight models評価(Evals)+2
スライド 2 枚35:30EN
Matthew Berman· 2024年9月6日Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.モデルと学習Data quality & curation評価(Evals)+2
1:03:46EN
20VC with Harry Stebbings· 2024年9月4日ポッドキャスト · 2 人Zico Kolter on AI Safety, Scaling and the Limits of Open Modelsゲスト Zico Kolter · ホスト Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.AI SafetyPrompt injectionOpen-weight models+2
42:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月29日ポッドキャスト · 2 人AWS Is a $100 Billion Cloud. Matt Garman Still Sees a 10x Migration Aheadホスト Sarah Guo, Elad GilAmazon Web Services’ new CEO tells No Priors why 85 percent of workloads are still on-prem, how Bedrock was built from three bets, and why startups remain the company’s growth engine.インフラとデプロイエンタープライズ AIAI Strategy+3
1:00EN
Matthew Berman· 2024年8月16日Grok-2 Beta and the FLUX.1 Image ModelMatthew Berman · Forward FutureMatthew Berman discusses xAI's 2024 Grok-2 beta, its earlier leaderboard alias and a partnership with Black Forest Labs on image generation.Generative mediaFoundation ModelsOpen-weight models
39:18EN
Sequoia Capital· 2024年8月13日ポッドキャストOpen and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.インフラとデプロイInferenceファインチューニング+3
スライド 5 枚11:34EN
Matthew Berman· 2024年8月1日Testing Mistral Large 2: Coding, Reasoning and Safety in 2024Matthew Berman · Forward FutureMatthew Berman tests Mistral’s 123-billion-parameter model with small coding tasks, logic puzzles and ethical hypotheticals. The results are promising but narrowly scoped.Foundation Models評価(Evals)Open-weight models+2
42:08EN
Sequoia Capital· 2024年7月30日ポッドキャストMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.オープンソースとコミュニティOpen-weight modelsDistillation+3
スライド 3 枚13:40EN
Matthew Berman· 2024年7月29日Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight models評価(Evals)モデルと学習+1
44:08EN
Matthew Berman· 2024年7月25日Mark Zuckerberg on Llama 3.1, Open Models and Meta’s AI StrategyMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman reacts to Zuckerberg’s 2024 interview on open-weight AI, safety, platform control and a future of personalized agents.Open-weight modelsAI StrategyAI Safety+2
スライド 5 枚10:02EN
Matthew Berman· 2024年7月24日Testing Llama 3.1 405B on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries Meta's 2024 open-weight model on an informal set of prompts and demonstrates a sponsored dataset workflow.Open-weight modelsモデルと学習評価(Evals)+1
0:58EN
Matthew Berman· 2024年7月23日Meta Releases Llama 3.1 and Its 405B ModelMatthew Berman · Forward FutureMatthew Berman argues that Meta's open-weight Llama 3.1 puts pressure on proprietary AI providers, while its license and deployment costs add important qualifications.Open-weight modelsFoundation ModelsAI Strategy
スライド 4 枚15:50EN
Matthew Berman· 2024年7月23日Llama 3.1: Meta’s 405B Model and the Open-Weight EcosystemMatthew Berman · Forward FutureMatthew Berman reviews Meta’s July 2024 release, the smaller models, reported benchmarks, synthetic data and the proposed Llama Stack.Open-weight modelsモデルと学習Benchmarks+2
スライド 6 枚15:16EN
Matthew Berman· 2024年7月19日AI News in July 2024: Small Models, Robot Hands and a Self-Charging DroneMatthew Berman · Forward FutureMatthew Berman reviews model announcements, creative demonstrations, AI education and training-data concerns in a snapshot of one week in 2024.AI researchRoboticsOpen-weight models+2
スライド 6 枚11:30EN
Matthew Berman· 2024年7月11日Testing Google Gemma 2 27B: Coding, Reasoning and FormattingMatthew Berman · Forward FutureMatthew Berman runs an informal 2024 test of Google’s open-weight model on cloud hardware supplied by sponsor Vultr.Open-weight modelsBenchmarksReasoning & test-time compute+1
スライド 6 枚18:57EN
Matthew Berman· 2024年7月9日AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.AI researchモデルと学習AI security+2
スライド 6 枚11:20EN
Matthew Berman· 2024年7月1日Matthew Berman Adapts Mixture of Agents to Groq InferenceMatthew Berman · Forward FutureA 2024 tutorial changes an open-source multi-model ensemble to use Groq, then tests its interactive output and fixes a streaming error.Multi-agent systemsAgent orchestrationInference+1
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月26日ポッドキャストA Tiny Network Grew a Salt Crystal the Training Data Never Showedホスト Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.モデルと学習AI for science機械学習の基礎+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
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
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