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

1,559 件
並び順
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
スライド 4 枚8:47EN
Matthew Berman· 2025年9月16日Why Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.InferenceAI researchオブザーバビリティと信頼性+1
スライド 4 枚18:05EN
Matthew Berman· 2025年9月15日AI News: Qwen3-Max, OpenAI’s Restructuring and New Research ModelsMatthew Berman · Forward FutureMatthew Berman surveys September 2025 releases and reports, from silent speech and image generation to infrastructure and AI business deals.Foundation ModelsAI StrategyGenerative media+2
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月13日ポッドキャストA transformer co-author wants a $160 million model no company ownsホスト Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.インフラとデプロイInferenceAI security+3
1:44:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月11日ポッドキャストJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'ホスト Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.企業と戦略安全性とガバナンスHuman-AI Collaboration+3
59:06EN
Unsupervised Learning: With Jacob Effron· 2025年9月10日ポッドキャストInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Holdホスト Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.インフラとデプロイInferenceAI cost & performance+3
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月6日ポッドキャストNothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelinesホスト Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.セキュリティと安全性AGI Timelines安全性とガバナンス+3
スライド 7 枚15:26EN
Matthew Berman· 2025年9月4日September 2025 AI News: xAI Litigation, Microsoft Models, Anthropic and Medical ResearchMatthew Berman · Forward FutureMatthew Berman reviews model releases, company funding, an antitrust ruling, robot demos and a study of subtle movement in brain-injured patients.AI researchAI in healthcareFoundation Models+2
1:51:39EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月3日ポッドキャストA native ad engine for AI—and the questions it cannot dodgeホスト Nathan LabenzRyan Hudson, who sold Honey to PayPal for $4 billion, joins Nathan Labenz to explain ZeroClick’s bet on paid inference-time ads, and the societal incentives he has not yet had to confront.企業と戦略AI in sales & marketingProduct Strategy+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月30日ポッドキャストA hundred experiments a day, and the valley of death in materialsホスト Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.エージェントAI for scienceAutonomous Systems+3
スライド 6 枚9:45EN
Matthew Berman· 2025年8月28日Matthew Berman Reviews the First Reactions to Gemini's Nano Banana Image ModelMatthew Berman · Forward FutureEarly creators combine Google's image editor with 3D and video tools, while exposing errors, limitations, and safety questions in the results.GeminiGenerative media画像と動画+1
スライド 4 枚17:51EN
Matthew Berman· 2025年8月28日AI News in August 2025: Claude for Chrome, New Models and AI InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a browser-agent preview, model releases, reported Apple discussions and research on inference and weather.AI agentsOpen-weight modelsGenerative media+2
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月27日ポッドキャストSAEs Find the Nouns. Parameter Decomposition Looks for the Verbsホスト Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.モデルと学習Model InterpretabilityAI research+3
スライド 4 枚18:31EN
Matthew Berman· 2025年8月27日Testing Nano Banana: Gemini 2.5 Flash Image EditingMatthew Berman · Forward FutureMatthew Berman tests character consistency, image edits, generation, visual sequences and common failure cases.Generative mediaGeminiMultimodal AI
2:04:27EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月23日ポッドキャストA 10% Chance of an AI-Enabled Coup in the Next 30 Yearsホスト Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.セキュリティと安全性安全性とガバナンスExistential Risk+3
スライド 4 枚18:40EN
Matthew Berman· 2025年8月21日AI News in August 2025: Model Memory, Image Editing, Coding Agents and RobotsMatthew Berman · Forward FutureMatthew Berman reviews early reports on GPT-6, DeepSeek V3.1, Qwen image editing, developer tools and humanoid demonstrations. Several claims were previews, company statements or unconfirmed reports.AI StrategyAI agentsRobotics+2
スライド 5 枚13:13EN
Matthew Berman· 2025年8月21日Early Nano Banana Image Editing Examples and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman examines selective edits, photo restoration and image composition, then tries several prompts in LM Arena.Generative media
1:51:24EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月20日ポッドキャストFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-Rampホスト Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.セキュリティと安全性安全性とガバナンスAI Regulation+3
スライド 8 枚23:41EN
Matthew Berman· 2025年8月19日GPT-5 Prompting: Agent Behavior, Coding and Prompt OptimizationMatthew Berman · Forward FutureMatthew Berman walks through OpenAI’s 2025 prompting guide and demonstrates a tool for revising developer instructions.Prompting & in-context learningAgent orchestration開発ワークフローとテスト+1
1:48:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月16日ポッドキャスト$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBIホスト Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.エージェントエージェント工学Autonomous Systems+3
3:17:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月13日ポッドキャストTen Thousand Comments and 76 Spare Gigawatts: Four Months Writing America's AI Action Planホスト Nathan LabenzDean W. Ball spent four months as the White House's senior AI adviser, then left as the Action Plan landed — and explains how a to-do list got written inside a building that cannot run ChatGPT.企業と戦略AI Strategy安全性とガバナンス+3
57:52EN
Unsupervised Learning: With Jacob Effron· 2025年8月13日ポッドキャストThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.ホスト Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.モデルと学習AI for scienceComputational Biology+3
もっと見る1,559 件中 24 件を表示