最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

1,557 件
並び順
スライド 3 枚8:42EN
Matthew Berman· 2025年10月22日DeepSeek-OCR and the Idea of Visual Context CompressionMatthew Berman · Forward FutureMatthew Berman examines a 2025 OCR model and the possibility of representing document text with fewer vision tokens.Document understanding & OCRMultimodal AIコンテキストエンジニアリング+1
スライド 5 枚14:16EN
Matthew Berman· 2025年10月21日ChatGPT Atlas: OpenAI’s 2025 Browser and Its Agent DemosMatthew Berman · Forward FutureMatthew Berman walks through OpenAI’s launch demonstration of a browser with a ChatGPT sidebar, history search and an agent that can use websites. OpenAI later deprecated Atlas.OpenAIAI agentsComputer use+2
スライド 5 枚19:38EN
Matthew Berman· 2025年10月20日Andrej Karpathy’s AGI Timeline, Learning Ideas and Critique of Coding AgentsMatthew Berman · Forward FutureMatthew Berman examines Karpathy’s 2025 arguments for a decade of agents, new learning approaches and closer human oversight of AI coding.AGI TimelinesAI agentsReinforcement Learning+2
2:49:12EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月18日ポッドキャストWhy China's Master Plan for AI Never Mentions AGIホスト Nathan LabenzBeijing-based Concordia AI CEO Brian Tse on China's safety rules, chip strategy, and why the two ecosystems look more alike than Washington assumes.セキュリティと安全性安全性とガバナンスGeopolitics+3
スライド 2 枚14:31EN
Matthew Berman· 2025年10月17日Jack Clark’s AI Warning and the Debate Over RegulationMatthew Berman · Forward FutureMatthew Berman examines an Anthropic co-founder’s warning about powerful AI, competing views of rapid progress, and California’s 2025 AI laws.AI SafetyAI RegulationAnthropic+2
スライド 3 枚0:37EN
Matthew Berman· 2025年10月16日Matthew Berman Shows ChatGPT Struggling With a Seahorse EmojiMatthew Berman · Forward FutureA simple question produces repeated corrections and an inconclusive answer in two ChatGPT examples.OpenAI評価(Evals)
スライド 7 枚32:22EN
Matthew Berman· 2025年10月16日Qwen Image Edit Plus Compared With Nano Banana, Seedream and GPT Image 1Matthew Berman · Forward FutureMatthew Berman compares four image-editing models across compositing, precise edits, style transfer, object removal and weather effects.モデルと学習評価(Evals)
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月14日ポッドキャスト2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New Antibioticsホスト Nathan LabenzMIT's Jim Collins tells Nathan Labenz how a bootlegged 2018 project, a binary growth-inhibition label, and Chemprop graph networks pulled novel antibiotics out of chemical space that labs could never screen by hand.モデルと学習AI for scienceDrug Discovery+3
スライド15:43EN
Matthew Berman· 2025年10月13日How AI Data Centers Work: Power, Cooling and Community TradeoffsMatthew Berman · Forward FutureMatthew Berman explains the physical infrastructure behind AI prompts, from accelerator racks and backup power to water use and local planning.EnergySemiconductorsDistributed training & inference
スライド 6 枚13:53EN
Matthew Berman· 2025年10月10日Tiny Recursive Models and the Limits of Puzzle Benchmark ComparisonsMatthew Berman · Forward FutureMatthew Berman examines a small recursive network that reports strong ARC and Sudoku results, and what its experimental setup means.AI researchBenchmarksReasoning & test-time compute+1
1:53:50EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月8日ポッドキャストA curriculum rewrite takes five years. AI does not wait.ホスト Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.AI in EducationAI Strategy安全性とガバナンス+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月5日ポッドキャストFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Pointsホスト Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.エージェントエージェント工学検索拡張生成(RAG)+3
スライド 9 枚28:27EN
Matthew Berman· 2025年10月2日Sora 2 in Practice: Cameos, Camera Direction and Video Generation ErrorsMatthew Berman · Forward FutureMatthew Berman surveys early Sora 2 clips, testing likenesses, hands, motion, graphics and physics while pointing out where the generated scenes break down.Generative media画像と動画Multimodal AI+2
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月2日ポッドキャストChatGPT's Co-Creator Left to Put Nature in the Reward Loopホスト Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.モデルと学習AI for scienceReinforcement Learning+3
スライド 11 枚26:17EN
Matthew Berman· 2025年9月30日21 Practical AI Uses for Design, Work and ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates ways to use image tools, ChatGPT and NotebookLM for visual concepts, research, everyday work and study.Generative mediaProductivityWorkflow automation+2
2:20:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月28日ポッドキャストChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.ホスト Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.企業と戦略AI StrategyAGI Timelines+3
スライド 2 枚0:58EN
Matthew Berman· 2025年9月26日Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.インフラとデプロイAI cost & performanceモデルと学習
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月25日ポッドキャストEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%ホスト Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.モデルと学習金融 AIEmbeddings+3
スライド 7 枚15:29EN
Matthew Berman· 2025年9月24日Building a Multi-Agent Research Team with Strands AgentsMatthew Berman · Forward FutureMatthew Berman builds from a calculator agent to a multi-agent business-report demo, with examples of tools, model selection and orchestration.エージェント工学Multi-agent systemsAgent orchestration+2
1:02:05EN
Unsupervised Learning: With Jacob Effron· 2025年9月24日ポッドキャスト$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Mathホスト Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.企業と戦略AI StrategyAI startups & small teams+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月20日ポッドキャストAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14ホスト Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.セキュリティと安全性AI security安全性とガバナンス+3
スライド 5 枚14:47EN
Matthew Berman· 2025年9月18日AI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.AI researchAI agentsBenchmarks+2
スライド 7 枚16:29EN
Matthew Berman· 2025年9月17日What Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.AI AdoptionFuture of WorkAnthropic+2
42:20EN
Unsupervised Learning: With Jacob Effron· 2025年9月17日ポッドキャストA Name Invented at 2:30 a.m. Put Gemini on Top of the App Storeホスト Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.マルチモーダルとメディアMultimodal AIGenerative media+3
もっと見る1,557 件中 24 件を表示