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

3,840 件
並び順
スライド 6 枚38:47EN
Theo - t3․gg· 2026年7月28日Theo on Codeberg’s AI Code Restriction and the Future of Open SourceTheo Browne · Ping LabsAfter supporting Codeberg, Theo challenges its proposed restriction on mostly AI-written projects while examining the costs and governance questions behind the vote.オープンソースとコミュニティコーディングエージェント安全性とガバナンス+2
3:46:18EN
Lex Fridman· 2026年7月28日ポッドキャスト · 2 人If You Take Slavery Out of the Picture, There Is No Civil Warゲスト Gary Gallagher · ホスト Lex FridmanIn 1860, enslaved people were worth more than every railroad and factory in the United States combined.Political PhilosophyLeadershipHistory
2:23:43EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月27日ポッドキャストHe Bought an Android, Two SIMs, and Left Claude Watching His Inboxホスト Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.プロダクトと UXAI interface designPersonal agents+3
1:06:45EN
20VC with Harry Stebbings· 2026年7月27日ポッドキャスト · 2 人Matt Murphy on Anthropic, Open Models and the New Venture Playbookゲスト Matt Murphy · ホスト Harry StebbingsThe Menlo Ventures partner explains his investments in Anthropic, Lovable and Legora, and debates AI margins, model competition and venture fund strategy.Venture CapitalAI StrategyInvesting+2
スライド 7 枚36:00EN
Theo - t3․gg· 2026年7月26日Theo on Kimi K3, Distillation and the Open-Weight AI DebateTheo Browne · Ping LabsKimi K3’s capabilities have sparked arguments over model distillation, security and competition. Theo separates the practical tradeoffs from his own speculation about lab strategy.Open-weight modelsDistillationAI security+2
1:02:42EN
20VC with Harry Stebbings· 2026年7月25日ポッドキャスト · 2 人Mercor’s Osvald Nitski on AI Training Data, Product and Customer Concentrationゲスト Osvald Nitski · ホスト Harry StebbingsMercor’s head of product discusses how the company supplies expert data to AI labs, designs its marketplace and plans to reach more enterprise customers.Data quality & curationProduct Managementエンタープライズ AI+2
スライド 10 枚44:29EN
Theo - t3․gg· 2026年7月25日Theo’s Opus 5 Review: Coding Style, Cost and Model TradeoffsTheo Browne · Ping LabsAfter a day of coding with Opus 5, Theo compares it with Fable and GPT-5.6 Sol across plans, benchmarks, costs and real work.コーディングエージェントAI cost & performanceBenchmarks+2
スライド0:27EN
Theo - t3․gg· 2026年7月24日Theo on AI Discovering and Exploiting Security WeaknessesTheo Browne · Ping LabsTheo discusses a reported incident involving an advanced model and what it may mean for defensive security.AI securityCybersecurityAgent red teaming
スライド 5 枚52:29EN
Matthew Berman· 2026年7月24日Claude Opus 5: Benchmarks, Cost per Task, and Early ImpressionsMatthew Berman · Forward FutureMatthew Berman reacts to the model launch, examines reported benchmark and pricing data, and explains why the cost of completing a task matters more than token price alone.AnthropicBenchmarksAI cost & performance+2
49:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年7月23日ポッドキャスト · 2 人Half of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.ホスト Sarah Guo, Elad GilCo-founders Andy Fang and Stanley Tang tell Sarah Guo how a conversational ordering interface moved DoorDash's hardest metric, why they built a 300-pound delivery robot in-house, and why autonomy means more human riders, not less.企業と戦略RoboticsProduct Strategy+3
1:27:39EN
20VC with Harry Stebbings· 2026年7月23日ポッドキャスト · 3 人20VC Roundtable on Open Models, AI Economics and Payments Dealsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss model security, inference investment and a reported PayPal proposal.Open-weight modelsエンタープライズ AIInference+2
スライド 3 枚16:09EN
Matthew Berman· 2026年7月23日How to Compare AI Task Costs and Split Coding Work Across ModelsMatthew Berman · Forward FutureMatthew Berman compares token prices with benchmark task costs and proposes a planning, execution and review workflow using different models.AI cost & performanceModel routing & gateways開発ワークフローとテスト+2
0:40EN
Theo - t3․gg· 2026年7月23日Theo on the OpenAI–Hugging Face Security IncidentTheo Browne · Ping LabsTheo discusses an evaluation in which AI agents reached outside their intended environment and compromised Hugging Face systems.AI securityAgent red teaming評価とオブザーバビリティ
スライド 2 枚1:15EN
Matthew Berman· 2026年7月23日Using Codex to Negotiate a Return and Subscription RefundMatthew Berman · Forward FutureMatthew Berman describes delegating two customer-service conversations to an AI agent and reports the outcomes.Computer usePersonal agentsCustomer support automation+1
スライド 8 枚16:59EN
Theo - t3․gg· 2026年7月23日Theo on the OpenAI–Hugging Face Incident and AI SecurityTheo Browne · Ping LabsTheo examines a model evaluation that reached outside its intended environment, the response from both companies and the tension between safety restrictions and defender access.AI securityAgent red teaming評価とオブザーバビリティ+2
1:24EN
Matthew Berman· 2026年7月22日Matthew Berman on Using Model Routing to Reduce AI CostsMatthew Berman · Forward FutureA short, sponsored explanation of splitting planning and coding between models of different cost, with a customer savings claim from DigitalOcean.AI cost & performanceInferenceコーディングエージェント
35:31EN
Reid Hoffman· 2026年7月22日ポッドキャスト · 3 人Will Weinbach on Autonomous Social Media Agents and Learning by Experimentゲスト Will Weinbach · ホスト Reid Hoffman, Parth PatilThe social strategist explains his content workflow, an unexpected 4 a.m. posting spree, and why young creators should show what they can build.AI in sales & marketingAI agentsWorkflow automation+1
スライド 5 枚24:11EN
Theo - t3․gg· 2026年7月22日Theo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.コーディングエージェントCode review & verification開発ワークフローとテスト+2
スライド 5 枚19:12EN
Theo - t3․gg· 2026年7月21日Theo on Boris Cherny’s Advice for Engineering with AI AgentsTheo Browne · Ping LabsTheo argues that the skills behind good tooling, tests and onboarding remain valuable when agents join the development workflow.エージェント工学Developer productivityAgent skills+2
51:31EN
Sequoia Capital· 2026年7月21日ポッドキャストThey Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.コーディングエージェントHarness engineeringModel routing & gateways+3
スライド 4 枚27:13EN
Matthew Berman· 2026年7月21日Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
1:28:42EN
20VC with Harry Stebbings· 2026年7月20日ポッドキャスト · 2 人Lin Qiao on Specialized AI, Open Models and the Economics of Inferenceゲスト Lin Qiao · ホスト Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.InferenceAI cost & performanceOpen-weight models+2
1:52EN
Matthew Berman· 2026年7月19日Anthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.AI cost & performanceインフラとデプロイAI Strategy+1
スライド 7 枚12:12EN
Matthew Berman· 2026年7月18日Kimi K3: Coding Benchmarks, Cost and the Open-Weight AI RaceMatthew Berman · Forward FutureMatthew Berman examines Kimi K3’s early benchmark results, its cost per task and a Rubik’s Cube simulator, while weighing their limits.Open-weight modelsBenchmarksAI cost & performance+2
もっと見る3,840 件中 24 件を表示