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 →

最新の記事

4,158 件
並び順
24:05EN
How I AI· 2026年10月14日ポッドキャストA First Look at Meta Muse Wonder on Agent and Design Tasksホスト Claire VoClaire Vo reports strengths and weaknesses from her own small evaluation.評価(Evals)AI agents
2:17:48EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月14日ポッドキャストAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargainホスト Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.エージェント安全性とガバナンスAI security+3
58:26EN
Conversations with Tyler· 2026年10月14日ポッドキャスト · 2 人Liaquat Ahamed on 1873, Gold and the Politics of Financial Crisesゲスト Liaquat Ahamed · ホスト Tyler CowenTyler Cowen challenges the historian on deflation, monetary systems and debt.HistoryEconomicsPolitical Philosophy
スライド 7 枚38:30EN
Theo - t3․gg· 2026年10月14日Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.Geminiコーディングエージェント評価(Evals)+2
1:34:17EN
The Pragmatic Engineer· 2026年10月14日ポッドキャスト · 2 人Inside Uber’s Developer Infrastructure for AI Agentsゲスト Uday Kiran Medisetty · ホスト Gergely OroszUday Kiran Medisetty explains gateways, context, background coding and review.開発ワークフローとテストエージェント工学インフラとデプロイ
スライド 5 枚12:14EN
Matthew Berman· 2026年10月14日Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksコーディングエージェント+1
58:49EN
a16z· 2026年10月14日ポッドキャスト · 2 人Nathan Lambert on Open Models, Frontier Labs and Trilliumゲスト Nathan Lambert · ホスト Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.Open-weight modelsAI researchモデルと学習+2
スライド 4 枚44:12EN
SemiAnalysis· 2026年10月14日ポッドキャスト · 3 人GLM 5.3, Sparse Attention and the Cost of Inferenceゲスト Kimbo Chen, Wenyao Gao · ホスト Jordan NanosSemiAnalysis examines memory bottlenecks, AMD and NVIDIA serving results, post-training and support for Chinese chips.InferenceOpen-weight modelsSemiconductors+1
55:32EN
The Knowledge Project Podcast· 2026年10月13日ポッドキャスト · 2 人Ryan Serhant on Selling, Time and the Cost of Ambitionゲスト Ryan Serhant · ホスト Shane ParrishA real-estate broker discusses relationships and career lessons with Shane Parrish.SalesTime ManagementCareer Growth
スライド 5 枚10:36EN
Matthew Berman· 2026年10月13日Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.モデルと学習BenchmarksAI cost & performance+1
1:20:35EN
Invest Like The Best· 2026年10月13日ポッドキャスト · 2 人David Vélez on Building Nubank and Banking’s AI Futureゲスト David Vélez · ホスト Patrick O'ShaughnessyThe founder discusses digital banking economics, global expansion and organizational change.Fintech金融 AILeadership
1:08:02EN
Sequoia Capital· 2026年10月13日ポッドキャストAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.モデルと学習Reinforcement LearningRL environments & simulators+3
スライド 8 枚38:02EN
Theo - t3․gg· 2026年10月13日Meta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.コーディングエージェントAI cost & performanceモデルと学習
スライド 2 枚0:36EN
Matthew Berman· 2026年10月13日OpenAI Employee Charged in Recording-Device InvestigationMatthew Berman · Forward FutureMatthew Berman discusses the reported discovery of a recording device and OpenAI’s account of its investigation.セキュリティと安全性OpenAIPrivacy & data governance
0:53EN
All-In Podcast· 2026年10月13日ポッドキャストJason Calacanis on How AI Could Change Coding TogetherA short reflection on coding camaraderie and the shift toward delegating work to agents.コーディングエージェントSoftware engineering
25:16EN
All-In Podcast· 2026年10月12日ポッドキャスト · 2 人Martin Shkreli on Quantum Computing, Drug Development and Prisonゲスト Martin ShkreliThe investor explains his bearish quantum thesis, discusses pharmaceutical opportunities and reflects on the thinking that preceded his conviction.InvestingAI cost & performanceDrug Discovery
スライド 7 枚18:18EN
Theo - t3․gg· 2026年10月12日Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.AI cost & performanceコーディングエージェントモデルと学習
58:54EN
20VC with Harry Stebbings· 2026年10月12日ポッドキャスト · 2 人Mike Cannon-Brookes on AI Agents, Enterprise Context and the Future of Interfacesゲスト Mike Cannon-Brookes · ホスト Harry StebbingsAtlassian's CEO argues that agents make product design more important, explains the trade-offs in enterprise AI, and makes the case for slower thinking.AI interface designエンタープライズ AIAI agents+2
0:23EN
Theo - t3․gg· 2026年10月12日Why Theo Would Wait Before Upgrading for UltrafastTheo Browne · Ping LabsA short cost comparison leads Theo Browne to caution against upgrading to the $500 tier solely for Astra Ultrafast.コーディングエージェントAI cost & performance
スライド 2 枚2:39:03EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月12日ポッドキャスト · 3 人AI Code Needs Specifications: Formal Verification and Human Controlゲスト Grigore Rosu, Everett Hildenbrandt · ホスト Nathan LabenzFrom Linux bug hunting to agent permissions, a discussion of proofs, intent and fallback plans.Code review & verificationAI agentsAI Safety+1
0:35EN
Matthew Berman· 2026年10月12日Why Human Creativity Still Matters in the Age of AI ImagesMatthew Berman · Forward FutureMatthew Berman argues that producing more images is different from creating work that resonates with people.CreativityHuman-AI Collaboration
0:46EN
Matthew Berman· 2026年10月12日Matthew Berman's AI-Assisted Super Mario World RecreationMatthew Berman · Forward FutureA short progress update describes a multi-day attempt to rebuild the game for a ModRetro handheld.コーディングエージェントSoftware engineering
スライド 3 枚31:00EN
AI Explained· 2026年10月12日Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.AI SafetyAI securityAI Alignment+2
37:47EN
How I AI· 2026年10月12日ポッドキャスト · 2 人Designing Meta Muse: Status, Personalization and Everyday Agentsゲスト Alex Cornell · ホスト Claire VoAlex Cornell discusses consumer agent design and his own experiments with Muse.Product DesignPersonal agentsHuman-AI Collaboration
もっと見る4,158 件中 24 件を表示