Ezra Klein and Republican strategist Liam Donovan argue over whether Donald Trump is sacrificing winnable races to tighten his grip on the GOP. Their conversation ranges from Ken Paxton and Susan Collins to Tucker Carlson and J.D. Vance, tracing a party whose future may depend less on policy than on loyalty, attention and grievance.

As AI’s appetite for computing power fuels a nationwide build-out of data centers, local fights over noise, water, electricity, secrecy and tax revenue are turning obscure industrial projects into a volatile new political issue. The backlash is scrambling familiar partisan lines, with populists on the left and right converging against a technology many communities feel is being imposed on them.

Claire Vo puts Anthropic’s new Opus 4.8 through early coding and strategy tests, finding a model that can nail a one-shot feature build yet falter on bug fixing, edge cases and business analysis. The result is a portrait of impressive raw capability undercut by shaky grounding, uneven ambition and a stubborn inability to finish the last mile.

Rivian’s top software executive sketches the uneasy marriage of startup speed and Volkswagen scale, as the companies build a shared EV operating system meant to underpin everything from the R2 to future Audis and Lamborghinis. The conversation turns just as quickly to Rivian’s in-car assistant, where voice control, safety limits and the long war over CarPlay reveal how much of the modern vehicle now lives in software.

Caroline Wanga traces a career built less on certainty than on curiosity, describing how a series of self-made maps helped her test roles, recognize her strengths and know when it was time to move on. The conversation widens into a candid philosophy of work, urging people to trade personal branding for personal purpose and to treat failure and doubt as material for growth.

Shake Shack’s digital transformation shows how a hospitality-first brand can add kiosks, mobile ordering, and personalization without turning the customer experience into a machine. The conversation traces how the fast-casual chain scaled by learning from competitors, using data carefully, and treating technology as a support for human judgment rather than a substitute for it.

A spirited debate over whether AI agents will erase jobs or reorganize them argues that automation mostly cheapens yesterday’s expertise, making human judgment, taste and direction more valuable. Drawing on life inside an aggressively AI-native company, the conversation pushes back on layoffs-and-doom narratives and treats adaptation, not retreat, as the real dividing line.

Dak Sarada, co-founder of OpenCode, talks about scaling an open-source coding tool to millions of users while resisting the fantasy that AI automatically makes teams faster or products better. The conversation circles the unglamorous work of taste, cleanup, and restraint, along with the economics of inference and the GPU bottlenecks shaping the AI boom.

Former Twitter CEO Dick Costolo sizes up a coming wave of AI and space IPOs, arguing that narrative discipline will matter as much as quarterly numbers when SpaceX, OpenAI, and Anthropic face public-market scrutiny. The conversation also turns to Meta’s internal malaise, Twitter’s stubborn durability, and the social backlash building around data centers and AI wealth.

Claire Vo makes the case for Codex Goals as the missing layer between one-off prompts and true autonomous work, where an AI agent keeps iterating until it can prove a task is done. Her examples range from debugging stubborn software errors to cleaning out thousands of unread emails and triaging an unruly project backlog.

Anthropic’s Boris Cherny argues that AI coding tools are already blurring the boundaries between engineer, manager and designer, even as their labor-market effects remain unsettled. Around that debate, the conversation traces how companies are pushing workers to adopt AI, rewarding token usage unevenly and fumbling toward a broader social response to automation.

Craig Mod joins Paul Ford and Rich Ciotti to talk about building bespoke accounting software for his unusually tangled life as a Japan-based American writer, publisher and membership entrepreneur. What starts with taxes and receipts opens into a wider argument about who gets to make software in the age of AI, and what kinds of human judgment still matter.

Nilay Patel presses Sundar Pichai on Google’s AI reorganization, the rapid spread of Gemini and agents across search and software, and what those shifts mean for publishers, creators and the fragile idea of a common web. Pichai argues that Google is building toward more capable systems while insisting the open web remains essential, even as search grows more opinionated, personalized and self-contained.

Molly Graham talks with Manoush Zomorodi about building a career in media while every platform, business model and job description keeps changing underfoot. Their conversation turns disruption into a working philosophy: hold fast to the craft, experiment relentlessly and remember that the body, not just the mind, pays for life on screens.

Anthropic’s Felix Riesberg argues that the real bottleneck in AI is not model capability but human imagination, as users learn to hand off the tedious scaffolding of work and life. The conversation ranges from live artifacts and personal dashboards to hacked-together Bluetooth gadgets, all in service of making software more ambient, playful and useful.

Dan Shipper argues that AI is remaking work less by replacing people than by changing the interfaces around them: companywide agents in Slack, desktop copilots that become the operating system for knowledge work, and SaaS products rebuilt for humans and machines to collaborate together. He is strikingly bullish on the survival of SaaS, the rise of forward-deployed AI operators, and the prospects for product managers and full-stack designers who learn to ride the models.

A Friday roundtable weighs whether OpenAI and Anthropic are racing to public markets before their growth stories cool, while parsing the accounting, infrastructure bets and investor narratives beneath the AI boom. The conversation also skewers SpaceX’s far-fetched pitch for orbital data centers and treats commencement-season boos as a warning that the public is souring on Silicon Valley’s vision of automation.

A veteran enterprise sales leader argues that AI has changed the tempo of software selling more than its fundamentals. The conversation traces why enterprise customers still want hands-on change management, why AI-native buyers compress decisions into days, and why great go-to-market teams raise the floor with process without crushing the ceiling for human judgment.

A veteran software sales leader argues that AI has changed the tempo of selling far more than its fundamentals. Enterprise buyers still need opinionated partners, hands-on rollout help and trust built through real relationships, even as AI-native customers compress cycles into days and expect constant, asynchronous collaboration.

Nilay Patel and Liz Lopatto sort through the spectacle and legal debris of Musk v. Altman, a trial nominally about OpenAI’s nonprofit origins but really driven by Elon Musk’s bid to punish Sam Altman. Their conversation sketches a courthouse circus, a statute-of-limitations defeat, and an AI industry where dishonesty feels less disqualifying than fully priced in.