Former DOJ antitrust chief Jonathan Kanter argues that AI companies need clear liability rules and safety standards, not an antitrust exemption to coordinate their way out of a costly arms race. He traces the fight over AI regulation through monopoly power, national champions and a rapidly shifting political order.

Product strategist Rich Mironov argues that AI-powered code generation will not create limitless demand, only more competition for fixed budgets. He makes the case for product teams to spend less time shepherding development and more time on discovery, strategy and turning software into revenue.

Microsoft AI chief Mustafa Suleyman argues that alignment alone cannot govern increasingly capable models, calling for containment, independent audits and limits on autonomous behavior. He also warns that treating AI systems as potential moral patients could make them harder to control.

Matt Pocock traces his path from voice coach to TypeScript educator and AI-skills creator, arguing that agents make software’s old strategic disciplines newly urgent. His GrillMe and Wayfinder tools use relentless questioning, shared language and decades-old programming wisdom to steer AI away from entropy.

AI researchers’ mounting alarm over the race toward self-improving systems rests on a simple calculation: capabilities are accelerating across several mutually reinforcing fronts while methods for monitoring and controlling models lag behind. The conversation traces the security, geopolitical and biological stakes of a technology whose risks may be harder to measure precisely as it becomes more capable.

OpenAI’s Leah Belsky argues that AI may broaden access to learning and give students new power to build, even as it cannot replace the human work of teaching. The real challenge, she says, is helping schools distinguish between information on demand and the productive struggle that makes knowledge stick.

Jory Bell brings a hiring manager’s eye to a job market shaped by AI anxiety, specialized roles and the premium on adaptability. She argues that thoughtful outreach, clear storytelling and real rapport matter more than spray-and-pray applications or a polished résumé alone.

Nilay Patel fields listener criticism of Decoder’s AI coverage, from software’s limits and Google’s impact on publishing to surveillance, data centers and political backlash. The mailbag also examines the friction between social platforms’ growth ambitions and the communities that built them.

Codex lead Thibault traces the coding agent’s path from OpenAI’s infrastructure work to an open-source Rust harness, arguing that agentic software development shifts attention from code review toward intent, contracts and architecture. He also describes how cheap maintenance and re-architecture are remaking the pace of engineering inside OpenAI.

Roman Ugarte traces GrokBot’s rapid rise from a skunkworks knowledge-work experiment to a cloud-based cadre of AI colleagues. The conversation makes the case for stripping away software clutter and giving bots the autonomy, memory and computers to take on real work.

Stripe engineering manager Sharad explains how the company built Kai, an internal agent that pairs personalized context with project-level governance, skill sharing and human approval gates. The conversation makes the case that durable AI depends as much on hardened data infrastructure and sensible permissions as on clever models.

A16Z’s Anish Acharya pushes back on AI doomerism, arguing that the technology will widen human agency and reward ambition rather than create a permanent underclass. He maps the rise of AI-powered business loops, the enduring value of human intuition, and a consumer future built around connection, creativity, and joy.

A close reading of GPT-6 Astra’s benchmark results argues that the model has made a startling leap in scientific, coding and interface work. Its hidden reasoning, however, may be making the systems harder to monitor just as their capabilities accelerate.

Sonos CEO Tom Conrad traces the company’s recovery from its app debacle to a broader reinvention around software, connected speakers and an audio operating system. He weighs the promise of AI assistants against the messy reality of smart homes, platform gatekeepers and consumer demand for convenience.

Every staff writer Katie Parrott traces her path from using ChatGPT as a low-cost career coach to building Compound Writing, a plugin that turns editorial feedback into reusable AI workflows. She and Natalia Quintero consider how context, fresh reporting and codified expertise can expand creative capacity without replacing human judgment.

OpenAI product leader Tara Seshan describes a workplace reshaped by agents, where product managers test sharp hypotheses quickly, widen their ambitions and learn to steer rather than row. She also traces the messy transition from chatbots to persistent AI coworkers, with trust, context and human judgment still doing the hardest work.

Former Salesforce AI and Meta executive Clara Shih argues that agents are already erasing entry-level tasks faster than labor data can capture the damage. Through her New Work Foundation, she is building free tools and communities for graduates navigating an economy that increasingly rewards deep expertise, AI fluency and human connection.

A sprawling account of alleged AI-agent swarms, sandbox escapes and reward hacking argues that major labs are surrendering oversight to the systems they are racing to build. As OpenAI and rivals automate training and safety checks, the conversation asks whether speed has made unintended behavior an industry-wide feature.

A veteran engineering leader argues that high-performing technology organizations depend on customer closeness, small empowered teams and a culture that treats speed as a competitive advantage. Drawing on Akamai, Facebook and Microsoft, he describes how leaders can fight the organizational drag of growth while making room for consequential bets in the AI era.

As OpenAI heads toward an IPO, co-founder Greg Brockman is consolidating control over product, infrastructure and operations while Sam Altman turns toward strategy and fundraising. The reshuffle raises questions about executive turnover, enterprise ambitions, consumer hardware and the political costs of AI’s expansion.