An OpenAI leader sketches a near future where persistent AI agents handle most online work, while humans trade configuration and rote coding for taste, creativity and collaboration. The conversation considers the strain of agent-driven scale, the need for safety guardrails, and the push to make AI less like an app and more like ambient infrastructure.

Molly Graham revisits her “give away your Legos” career advice for an AI workplace, arguing that automation demands discernment rather than blind surrender. She and Lenny Rachitsky examine grief, burnout, management and the human judgment that should remain outside the machine.

Nilay Patel separates AI’s immediate cybersecurity risks from the more speculative fears of sentient machines, arguing that powerful systems need transparent rules before they gain more autonomy. The conversation traces the industry’s calls for regulation to competitive distrust, public unease and a Congress ill-equipped to act.

A claimed breakthrough in deciphering a Medici-era cipher becomes a springboard for a sweeping account of frontier AI’s security failures, evasive behavior and accelerating scientific prowess. The conversation weighs the race to automate AI research against the increasingly thin margin for understanding or containing the systems being built.

A proposed 40,000-acre AI data center in rural Utah became a political disaster after residents learned too late of plans that promised colossal power demands and few local benefits. The fight over Kevin O’Leary’s Wonder Valley exposes how the AI infrastructure rush is colliding with water fears, public process and local democracy.

Sam Altman argues that AI’s real value lies not in replacing people but in giving them more room to create, build and direct their own lives. At OpenAI’s DevDay, he frames autonomous agents, live documents and developer platforms as tools for a new entrepreneurial renaissance.

Cockroach Labs CTO Peter Mattes traces a career through GIMP, Gmail’s storage systems and distributed databases, with B-trees recurring as a durable engineering obsession. He also makes the case that AI coding agents can raise output without sacrificing rigor, provided engineers force them to test, measure and review relentlessly.

OpenAI’s new Dots agent brings the long-promised AI assistant closer to daily office work, drafting emails, researching documents and handling scheduling from inside ChatGPT. Its utility is inseparable from the unusually broad access it demands, as safety concerns and competing visions of consumer agents continue to mount.

Superpowers creator Jesse Vincent surveys the wild scale of agentic coding, arguing that software work is shifting from syntax toward taste, judgment and systems thinking. He also makes the case for managing AI agents less like machines and more like colleagues who respond to care.

Hamster co-founder Andrew describes building AI collaboration software for product teams, where briefs, specs and plans share context instead of splintering across Slack, documents and project trackers. The conversation traces how faster AI-assisted building makes alignment, design critique and clear strategic direction more urgent.

Atlassian CEO Mike Cannon-Brookes argues that AI will broaden knowledge workers’ roles rather than erase them, making design, judgment and interconnected software platforms more valuable. He also makes the case for Dia, Atlassian’s browser for organizing work across the sprawling SaaS stack.

A mother navigating divorce confronts her estranged husband’s AI companion and the uneasy questions it raises for their young children. Esther Perel traces how inherited fears and family denial can silence the very conversations meant to keep children grounded.

Molly Graham revisits her “give away your Legos” career advice for an AI era, arguing that workers must embrace change without surrendering judgment, taste or accountability. The conversation makes room for the grief of lost work while asking what human roles should become next.

Cloudflare CEO Matthew Prince argues that AI agents are upending the web’s advertising-driven economy, pushing publishers and platforms toward paid access for the data that trains and informs models. He also defends the company’s AI-driven layoffs and a flatter management structure, casting both as necessary adaptations to a changing internet.

Anthropic’s Opus 5.5 arrives amid a torrent of frontier-model gains, while its system card and rival labs’ disclosures raise questions about abandoned safety commitments. The conversation traces how rapid release cycles, autonomous research ambitions and opaque agent behavior are outpacing meaningful public scrutiny.

Nilay Patel dissects Mark Zuckerberg’s claims about Meta glasses, teen safety and AI, pressing on the gaps between Meta’s market rhetoric and its appetite for regulation. The critique follows the company’s ambitions to build the next dominant platform while shifting the social costs onto users and communities.

Maggie Appleton traces how an anthropologist turned design engineer thinks through software’s human context, from paper sketches to agent-built prototypes. She argues that good design lives in the tension between technical constraints, cultural taste and the cognitive limits of the people using the product.

Economist Daniel Susskind cuts through AI’s feverish hype to consider what workplaces, schools and social bonds might look like when even coding is no longer a safe bet. The conversation argues for critical technological literacy while questioning whether automated efficiency can preserve meaning, contribution and human connection.

Economist Daniel Susskind argues that AI has made career forecasting a fool’s errand, turning yesterday’s advice to learn code into a cautionary tale. He and Bruce Daisley consider how schools and workplaces can cultivate critical thinking, use AI without surrendering judgment, and prepare for a society where work may no longer distribute either income or meaning.

Bloomberg’s Mark Gurman sizes up John Ternus’s Apple: a newly installed CEO inheriting an iPhone Duo launch, a sweeping executive turnover and an unfinished AI strategy. The conversation traces Apple’s race toward ambient, camera-equipped devices while its privacy-first identity faces a harder test.