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3,983 件
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1:26:12EN
20VC with Harry Stebbings· 2026年7月16日ポッドキャスト · 3 人20VC Roundtable on AI Competition, Enterprise Spending and Venture Capitalゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss a reported Apple lawsuit, AI pricing, memory markets and venture financing.エンタープライズ AIAI cost & performanceVenture Capital+2
スライド 12 枚1:00:06EN
Theo - t3․gg· 2026年7月15日Bun’s Rust Port and the Dispute with Zig’s CreatorTheo Browne · Ping LabsTheo examines the engineering behind Bun’s AI-assisted rewrite and the contested response from Zig creator Andrew Kelley.Software engineeringコーディングエージェントProgramming Languages+2
1:18EN
Matthew Berman· 2026年7月15日AI News Live: A Brief Interrupted OpeningThe Forward Future team starts a live broadcast, checks its stream and introduces a planned OpenAI hardware topic before the recording ends.AI Adoption
0:42EN
Matthew Berman· 2026年7月15日DeepSeek and Zhipu Reportedly Explore Custom AI ChipsMatthew Berman · Forward FutureMatthew Berman discusses 2026 reports of Chinese model developers pursuing their own processors and the strategic appeal of controlling more of their AI infrastructure.SemiconductorsインフラとデプロイGeopolitics
1:03EN
Matthew Berman· 2026年7月15日Reported Chinese AI Export Discussions and a Strategic DebateMatthew Berman · Forward FutureMatthew Berman considers reported restrictions on overseas access to Chinese AI models and questions whether limiting their distribution would serve China’s interests.AI RegulationGeopoliticsOpen-weight models
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
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