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3,968 件
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スライド 5 枚1:00:47EN
Matthew Berman· 2026年7月15日AI News Live: A Codex Keyboard, Open Models and Agent Safety ResearchMatthew Berman, Alex, Brian · Forward FutureMatthew Berman, Alex and Brian discuss new tools, model costs and a research report, separating initial impressions from verified results.コーディングエージェントOpen-weight modelsAI cost & performance+2
33:16EN
Reid Hoffman· 2026年7月15日ポッドキャスト · 3 人Ben Hansford on AI Filmmaking, a Talking Raccoon and the Work Beneath a Prototypeゲスト Ben Hansford · ホスト Reid Hoffman, Parth PatilThe commercial director describes using AI in treatments and effects, building a comics platform and teaching filmmakers to direct new systems.CreativityマルチモーダルとメディアAI agents+1
49:44EN
All-In Podcast· 2026年7月15日ポッドキャスト · 3 人Pat Gelsinger on Intel’s Missed Turns and Anton Osika on Building With AIゲスト Pat Gelsinger, Anton Osika · ホスト Jason CalacanisTwo conversations on semiconductor strategy, supply-chain risk and the evolution of Lovable.Software engineeringVibe CodingGeopolitics+2
48:55EN
Sequoia Capital· 2026年7月14日ポッドキャストAnthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.エージェントエージェント工学Agent orchestration+3
スライド 9 枚25:58EN
Theo - t3․gg· 2026年7月14日Theo on Codex Ultra: Reasoning Effort, Sub-Agents and UsageTheo Browne · Ping LabsTheo examines the Ultra mode he tested, its effect on multi-agent work, and why he prefers explicit workflow stages.コーディングエージェントAgent orchestrationAI cost & performance+2
スライド0:28EN
Theo - t3․gg· 2026年7月14日Theo on Why the Codex Brand Resonated with DevelopersTheo Browne · Ping LabsTheo argues that Codex’s identity as a developer-focused product mattered to users as AI labs broadened their products.コーディングエージェントProduct StrategyDeveloper productivity
スライド 5 枚15:48EN
Matthew Berman· 2026年7月14日Matthew Berman’s Codex Workflow: Models, Threads, Goals and SafetyMatthew Berman · Forward FutureBerman shares his July 2026 approach to model selection, browser work, reusable skills, long-running goals, remote access and guardrails.コーディングエージェント開発ワークフローとテストAgent skills+2
スライド 8 枚30:09EN
Theo - t3․gg· 2026年7月13日Theo on Managing GPT-5.6 Sol Usage and Agent WorkTheo Browne · Ping LabsA practical review of reasoning effort, long runs, delegation and stopping points, grounded in the limits and products available in July 2026.コーディングエージェントAI cost & performanceAgent orchestration+2
スライド0:45EN
Theo - t3․gg· 2026年7月13日Theo Reacts to the ChatGPT Work App RedesignTheo Browne · Ping LabsTheo examines a desktop interface that brings Codex and ChatGPT together and questions the new placement of chat.プロダクトと UXコーディングエージェントProduct Strategy
1:04:36EN
20VC with Harry Stebbings· 2026年7月13日ポッドキャスト · 2 人Wix CEO Avishai Abrahami on Base44, AI and Building for Small Businessesゲスト Avishai Abrahami · ホスト Harry StebbingsThe Wix co-founder discusses AI-assisted application building, software economics, customer support and leadership through market uncertainty.SaaSVibe CodingProduct Strategy+2
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月12日ポッドキャストDavidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment Targetホスト Nathan LabenzThe former ARIA Safeguarded AI director tells Cognitive Revolution why boxing superintelligence is too late, why he thinks models are climbing a U-shaped wisdom curve, and why the remaining risk is a race you cannot monitor.セキュリティと安全性安全性とガバナンスAGI(汎用人工知能)+3
スライド 6 枚36:00EN
Theo - t3․gg· 2026年7月12日GPT-5.6 Reviewed: Strengths, Costs, and Coding-Agent TradeoffsTheo Browne · Ping LabsTheo Browne assesses Sol, Terra and Luna through benchmark results and hands-on coding experience.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 6 枚26:50EN
Theo - t3․gg· 2026年7月11日Why Theo Thinks the Codex App Rebrand Misses Its Developer CommunityTheo Browne · Ping LabsThe unified ChatGPT desktop app adds useful agent features, but Theo Browne worries that a developer-focused identity is being lost.コーディングエージェントProduct Strategyプロダクトと UX+2
1:00:08EN
20VC with Harry Stebbings· 2026年7月11日ポッドキャスト · 2 人Arvind Jain on Enterprise AI, Open Models and the Future of Workゲスト Arvind Jain · ホスト Harry StebbingsThe Glean founder debates model competition, enterprise AI returns and whether productivity gains will shrink teams or raise the bar for everyone.エンタープライズ AIAI agentsOpen-weight models+2
スライド 7 枚17:34EN
AI Explained· 2026年7月10日GPT-5.6, Grok 4.5 and Muse Spark: Comparing Capability, Cost and SafetyAI Explained compares new models across agentic work, coding and reasoning, and examines the limits of self-improvement and safety claims.モデルと学習BenchmarksAI cost & performance+1
スライド 6 枚26:09EN
Theo - t3․gg· 2026年7月10日What Theo Built with GPT-5.6 During Six Weeks of Early AccessTheo Browne · Ping LabsFrom mobile rewrites to a compiler prototype and remote machine repair, Theo Browne shares unusually large-scale experiments and their limits.コーディングエージェントComputer use開発ワークフローとテスト+2
スライド0:33EN
Theo - t3․gg· 2026年7月10日Three Eras of AI Coding Agents: Tool Calls, Long Tasks, and OrchestrationTheo Browne · Ping LabsTheo Browne uses three model releases to explain how he sees coding agents developing.コーディングエージェントAgent orchestrationモデルと学習
0:18EN
Theo - t3․gg· 2026年7月9日Theo on Why Natural Language Does Not Belong in a TerminalTheo Browne · Ping LabsA brief argument that developers’ attachment to familiar terminals can shape how they imagine new interfaces.AI interface design開発ワークフローとテストCoding Culture
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月9日ポッドキャストZero the J-Space and a Model's Hidden Goal Lights Up on Token Oneホスト Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.モデルと学習Model Interpretability安全性とガバナンス+3
スライド1:02:09EN
Sources Podcast· 2026年7月9日ポッドキャスト · 3 人Jon Steinback on Marker, AI and the Thinking Behind Writingゲスト Jon Steinback · ホスト Alex Heath, Ellis HamburgerThe Marker founder argues for an editor that asks questions instead of writing for the user; the hosts examine where AI fits in their own work.Product DesignCreativityAI Product Management+1
スライド 6 枚24:43EN
Theo - t3․gg· 2026年7月9日Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.コーディングエージェント評価(Evals)AI cost & performance+2
50:57EN
Unsupervised Learning: With Jacob Effron· 2026年7月9日ポッドキャストA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuberホスト Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.モデルと学習AGI(汎用人工知能)AI research+3
1:27:05EN
20VC with Harry Stebbings· 2026年7月9日ポッドキャスト · 3 人20VC on AI Regulation, Compute Economics and Enterprise Adoptionゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported AI policy proposals, infrastructure spending, software deployment and startup liquidity.AI StrategyVenture Capitalエンタープライズ AI+2
41:05EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年7月9日ポッドキャスト · 2 人There is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbersホスト Sarah Guo, Elad GilGlenn Fogel cashed his 1999 bonus, joined Priceline in February 2000, and watched the Nasdaq peak a week later — then spent 25 years turning a near-delisting into a thousand-fold ride he now wants to spend on AI travel agents.企業と戦略エンタープライズ AIAI Strategy+3
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