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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.
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.
0:45ENTheo - 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.
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.
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.
36:00ENTheo - 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.
26:50ENTheo - 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.
1:00:08EN20VC 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.
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.
26:09ENTheo - 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.
0:33ENTheo - 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.
0:18ENTheo - 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.
2:06:41ENCognitive 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.
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.
24:43ENTheo - 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.
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.
1:27:05EN20VC 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.
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.
1:06ENMatthew Berman· 2026年7月9日Two GPT-5.6 Coding Demos: A Block World and a SpreadsheetMatthew Berman · Forward FutureMatthew Berman shows a Minecraft-like game and an Excel-like application built with Codex and GPT-5.6.
0:20ENTheo - t3․gg· 2026年7月8日Theo on Guilt-Merging Pull Requests and Questioning CodeTheo Browne · Ping LabsA short reflection on why developers sometimes accept changes they do not think are right.
25:34ENMatthew Berman· 2026年7月8日Anthropic’s J-Space Research: What Its Experiments Reveal and What Remains UnknownMatthew Berman · Forward FutureMatthew Berman examines experiments on internal representations in Claude, from causal interventions to safety auditing and the limits of consciousness claims.
1:53ENMatthew Berman· 2026年7月8日What Anthropic’s J-Space Research Suggests About AI ReasoningMatthew Berman · Forward FutureMatthew Berman discusses internal model representations, interventions and the question of consciousness, while the research itself describes important limits.
28:11ENTheo - t3․gg· 2026年7月7日The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.
0:22ENTheo - t3․gg· 2026年7月7日Theo Asks Why Teams Need a Separate System for Environment FilesTheo Browne · Ping LabsA brief prompt to reconsider how development teams share environment configuration.もっと見る3,982 件中 24 件を表示