Anthropic’s platform leads sketch how AI infrastructure is shifting from a bare completion endpoint to managed, long-running agents with memory, tools and cloud scaffolding. They argue that the real bottleneck is no longer prompt craft but the dreary work of production infrastructure, and imagine a near future where Claude chooses its own model, spins up sub-agents and compresses work down to an outcome and a budget.

A conversation about AI in schools moves past cheating panics to the deeper question of what education is for when machines can generate polished work on demand. Teachers and researchers describe a fractured landscape in which generative tools may save time at the margins, but also erode learning, judgment, and trust in the classroom.

Claire Vo races through Anthropic’s Code with Claude announcements, from scheduled routines in Claude Code to managed-agent features like outcome-based rubrics, multi-agent teams, and experimental memory tools. The conversation stays grounded in product work, sketching practical uses for newsletters, PRDs, and the growing appeal of agent systems that can grade, iterate, and remember.

A once-clunky coding tool is recast here as a desktop command center for modern office work, with hosts arguing that the real contest in AI is over agent interfaces that sit between workers and their apps. The conversation moves from theory to practice, showing how Codex and similar tools now draft emails, triage workflows, assemble strategy docs, and turn fragmented digital labor into something closer to managed delegation.

Simon Willison joins Joe Russo for a grounded assessment of AI coding tools as they move from autocomplete novelty to reliable engineering partners, reshaping review, mentorship, pricing and the pace of software work. Their conversation treats software development as a stubbornly human discipline even as models become powerful amplifiers of experience and increasingly capable collaborators.

MG Siegler and Alex Kantrowitz size up Apple’s unusually modest AI spending against the rest of Big Tech’s infrastructure binge, arguing that the company may be either prudently waiting out a commoditized market or dangerously ceding the future to rivals. They also trace the loosening Microsoft-OpenAI alliance and the murky reality of Stargate, where grand promises of owned infrastructure are giving way to outsourced capacity and financial improvisation.

A live conversation with Maven VP of product Rishin Banker examines how AI and new tools are collapsing traditional product, design, and engineering boundaries at a lean startup. The discussion traces what happens when more people can build, how teams reorganize into smaller pods, and where speed starts to create new handoff and governance problems.

A Stripe design leader describes building an internal prototyping stack that lets designers, PMs, and researchers generate realistic product demos in the browser, complete with live data, variants, and design-system guardrails. The conversation tracks how AI is collapsing the distance between mockup and product, turning static reviews into clickable demos and shifting collaboration from staffing debates to the work itself.

Uber CEO Dara Khosrowshahi sketches a company trying to turn its ride-hailing app into a broader travel and services platform, while juggling the trade-offs of hotel booking, personal shopping, AI tools and autonomous vehicles. He argues that Uber’s edge lies not in flashy demos but in handling the messy, probabilistic real world where reservations fail, drivers cancel and logistics have to keep working.

A family’s daily long-distance intimacy is severed when Iran’s government plunges the country into an internet blackout during war, leaving one daughter in the U.S. desperate for any word from her parents. The hour gathers smuggled voice memos from inside Iran, where ordinary life, political terror, grief, love and rage all continue beneath bombardment and enforced silence.

Max Schoening, Notion’s head of product, argues that AI is making the first draft of software nearly free while shifting the real differentiator to agency, taste and the discipline to make something obviously good. The conversation ranges from designers coding in terminals to the persistence of SaaS, all under a larger claim that the people who thrive will be the ones who act as if the world is changeable.

A jumble of AI signals comes into focus as OpenAI’s user growth cools, cloud providers post blockbuster numbers, and the industry lurches from consumer hype toward enterprise agents. Alex Kantrowitz and Ranjan Roy weigh whether generative AI is becoming ordinary infrastructure, a shaky consumer business, or simply a market still too expensive and too euphoric to understand clearly.

The Vergecast turns Elon Musk’s OpenAI trial testimony into a case study in how power evaporates under cross-examination, then widens into a sharper critique of AI’s shaky consumer appeal and the tech industry’s habit of mistaking compulsion for affection. Along the way, the hosts tour Microsoft and OpenAI’s retreat from the AGI fantasy, Brendan Carr’s latest FCC overreach, and a pile of gadgets that may or may not deserve Nilay Patel’s attention.

Nilay Patel and Nick Statt turn Decoder’s own mailbag into a defense of adversarial tech journalism, using the backlash to a bruising Superhuman interview to argue for tougher scrutiny of AI hype and executive spin. The conversation draws a sharp line between enterprise use cases that may be real and consumer products that still feel coercive, unconvincing, and culturally corrosive.

Two Argentine founders are building AI order-takers for restaurants and hotels, betting that the most valuable automation in hospitality happens in the operational gaps rather than in the human moments guests actually want. Their conversation traces the leap from rough prototypes and painful onboarding to a system that can parse messy customer requests, integrate with point-of-sale software and quietly disappear into the flow of service.

Stripe’s Emily Glassberg Sands sketches an internet where AI agents are becoming buyers, sellers and developers, forcing payments, fraud detection and software tooling to adapt to machine users. The conversation traces the surge in AI-company revenue, the rise of compute theft and free-trial abuse, and the new pricing and checkout systems emerging for an agent economy.

Mario Zechner and Armin Ronacher trace the rise of AI coding agents from hobbyist frustration to workplace reality, arguing that self-modifying tools can be powerful while also making software flimsier, reviews harder, and open source harder to steward. Their conversation lands on a broader unease with an industry chasing frictionless speed, even as good engineering still depends on bottlenecks, judgment and the memory of pain.

Mark Cuban argues that artificial intelligence is not overhyped but already reshaping work, rewarding people and companies willing to rebuild around it while punishing those that treat it as a novelty. He is bullish on AI as a tool for learning, automation and entrepreneurship, even as he doubts the economics of the biggest model makers and warns that critical thinking will matter more, not less.

David Pierce revisits the Rabbit R1 and finds that, while the standalone AI gadget still cannot replace a phone, its stripped-down voice recorder and note-taking tools have made it unexpectedly handy. The show then turns to the OpenAI-Elon Musk courtroom circus and Framework’s increasingly polished vision for repairable laptops, treating both as tests of how the tech industry is maturing, or failing to.

Jason Levin argues that AI is collapsing the distance between a joke, a product idea, and a working tool, turning marketers and nontechnical founders into prolific builders. The conversation ricochets from agent-made memes and no-code origins to bespoke side projects, all in service of a larger case for abundance, speed, and letting creative people ship.