Latest articles
3,960 articlesSort
36:45ENTheo on the Microsoft–OpenAI Agreement and Amazon’s Cloud OpportunityTheo Browne · Ping LabsThe 2026 amendment changes exclusivity and revenue sharing while keeping Microsoft and OpenAI in a continuing partnership.
1:20:30ENTobi Lütke on Building Shopify, AI and the Future of WorkGuest Tobi Lütke · Host Harry StebbingsShopify’s CEO discusses long-term leadership, AI-assisted engineering and his views on employment and public policy.
1:23ENMatthew Berman Demonstrates Codex Creating a Population SpreadsheetMatthew Berman · Forward FutureA short demonstration shows an AI agent using a web search and a spreadsheet skill to produce a chart.
1:14:23ENBecca Lindquist on Clay’s Sales Hiring, Compensation and AIGuest Becca Lindquist · Host Harry StebbingsClay’s head of sales explains how she evaluates candidates, designs incentives and builds customer champions in a product-led business.
2:17:49ZH → EnglishYu Su: From Logical Agents to Language Agents and Specialized LearningGuest 苏煜 · Host 张小珺The researcher and Zhang Xiaojun trace agent history and discuss OpenClaw, world models, interfaces, and reliability.
42:57ENInference Is the Last Market: Baseten’s 30x YearHost Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.
34:39ENClaude Code’s Billing False Positive and Anthropic’s Developer Trust ProblemTheo Browne · T3Theo Browne examines a subscription billing false positive, explains prompt caching, and shares T3 Chat’s API costs.
1:42:41ENTesting AI Reasoning, App Store Lookalikes and the Debate Over AnthropicMatthew Berman · Forward FutureIn a May 2026 livestream, Matthew Berman tests a car-wash prompt, discusses AI subscription limits and considers reported employee monitoring for model training.
1:48:43ENThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.Host Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
1:28:19ENAI Compute, Private Equity and the Narrowing Exit: A 20VC RoundtableGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsJason Lemkin and Rory O’Driscoll debate reported AI financing, software’s future and what private-equity losses could mean for venture investors.
35:10ENGitHub Reliability, Merge Errors and Developer TrustTheo Browne · T3Theo Browne examines outages, a merge-queue incident, security and the future of open-source collaboration.
38:58ENWhat Tech Stack Does Claude Code Choose? A Study and Its LimitsTheo Browne · T3Theo Browne examines coding-agent tool choices, DIY tendencies and examples comparing Claude Code with Codex.
17:26ENMatthew Berman on Funding US Open-Weight AI in Competition With ChinaMatthew Berman · Forward FutureBerman argues that open models face a financing problem and proposes public support, hardware-backed development and specialized models.
17:56ENChildren, AI Sycophancy and Environmental Trade-offsMatthew Berman · Forward FutureMatthew Berman discusses a parent’s objections to a child using AI, then weighs supervised learning, chatbot reliability and data-center impacts.
54:06ENLearning to Code and Finding Opportunities as a New DeveloperTheo Browne · T3Theo Browne reflects on the circumstances behind his first job and discusses feedback, community, AI-assisted learning and human connections.
1:20:29ENAdam Foroughi on AppLovin, AI and Building a Lean CompanyGuest Adam Foroughi · Host Harry StebbingsAppLovin’s CEO discusses staff cuts, AI-assisted engineering, compensation and public-market decisions, offering his account of a volatile company turnaround.
1:35ENDeepSeek V4 and the Cost of Frontier AI ModelsMatthew Berman · Forward FutureMatthew Berman argues that an open-weight Chinese model could put price pressure on US AI providers. The comparison depends on the workload, evaluation and cost assumptions.
22:06ENMarkdown’s Simplicity and Complexity: Syntax, Extensions and SecurityTheo Browne · T3Theo Browne examines a critique of Markdown, from equivalent syntax to inline HTML and the complexity of document processing.
2:38:48ENA thousand searches for five cents, and a high score that did not require cheatingHost Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.
48:49ENAmjad Masad on Replit, Coding Agents and the Future of SoftwareGuest Amjad Masad · Host Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.
17:21ENDeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.
36:51ENFake GitHub Stars and Open-Source Traction: What the Numbers Can ShowTheo Browne · T3Theo Browne examines research on fake stars, challenges simple funding narratives and discusses broader project due diligence.
25:19ENGPT-5.5 and DeepSeek V4: Benchmarks, Costs and Compute LimitsSam Altman, Greg Brockman · OpenAIAI Explained compares coding, uncertainty and safety tests while asking what cheaper models and scarce compute mean for deployment.
53:30ENThomas Kurian on Google Cloud’s TPUs, AI Agents and CybersecurityMatthew Berman, Thomas Kurian · Forward FutureThe Google Cloud CEO explains how Google allocates compute between its own models and competitors, designs infrastructure for agents, and approaches security and code review.
Load moreShowing 24 of 3,960









