최신 글
4,008개정렬
15:48EN
Matthew Berman· 2026년 7월 14일Matthew 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· 2026년 7월 13일Theo 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· 2026년 7월 13일Theo 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· 2026년 7월 13일팟캐스트 · 2명Wix CEO Avishai Abrahami on Base44, AI and Building for Small Businesses게스트 Avishai Abrahami · 진행자 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"· 2026년 7월 12일팟캐스트Davidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment Target진행자 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· 2026년 7월 12일GPT-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· 2026년 7월 11일Why 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· 2026년 7월 11일팟캐스트 · 2명Arvind Jain on Enterprise AI, Open Models and the Future of Work게스트 Arvind Jain · 진행자 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· 2026년 7월 10일GPT-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· 2026년 7월 10일What 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· 2026년 7월 10일Three 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· 2026년 7월 9일Theo 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"· 2026년 7월 9일팟캐스트Zero the J-Space and a Model's Hidden Goal Lights Up on Token One진행자 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· 2026년 7월 9일팟캐스트 · 3명Jon Steinback on Marker, AI and the Thinking Behind Writing게스트 Jon Steinback · 진행자 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· 2026년 7월 9일Grok 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· 2026년 7월 9일팟캐스트A Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuber진행자 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· 2026년 7월 9일팟캐스트 · 3명20VC on AI Regulation, Compute Economics and Enterprise Adoption게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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· 2026년 7월 9일팟캐스트 · 2명There is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbers진행자 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· 2026년 7월 9일Two 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· 2026년 7월 8일Theo 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· 2026년 7월 8일Anthropic’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· 2026년 7월 8일What 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· 2026년 7월 7일The 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· 2026년 7월 7일Theo Asks Why Teams Need a Separate System for Environment FilesTheo Browne · Ping LabsA brief prompt to reconsider how development teams share environment configuration.더 보기4,008개 중 24개 표시