Former OpenAI safety researchers dispute their firing and warn that fear, secrecy and corporate pressure could weaken independent oversight of powerful AI systems. Their account of a high-stakes internal investigation raises broader questions about who gets to audit the labs racing toward AGI.

Bill Gates argues that AI’s most immediate dangers are cyberattacks, bioterrorism, and labor disruption, not debates over machine consciousness. He calls for enforceable safeguards and new public institutions to steer a turbulent transition toward abundance without surrendering human purpose.

Illinois Gov. J.B. Pritzker argues that governments must become more aggressive in protecting workers, privacy and public resources as AI reshapes the economy. He discusses data centers, surveillance, social media and the need for federal rules that can keep pace with powerful technology companies.

Musician and researcher Ben Jordan traces the backlash to Flock’s license-plate-reader network, arguing that its real danger lies in private data sharing, weak security, and public officials who skipped meaningful oversight. He makes the case for transparent guardrails that restrain surveillance without mistaking one embattled startup for the entire system.

Eight state attorneys general are testing a consumer-protection playbook used against Meta, alleging that ChatGPT’s safety claims conceal a product that reinforces self-harm, delusions and violence. The legal offensive arrives as OpenAI also confronts an alleged office-spying scandal, sharpening the sense that the company’s regulatory backlash has arrived early.

A sweeping survey of the AI race weighs mounting warnings of catastrophic breaches against the commercial and geopolitical pressures driving labs to accelerate. As models make startling advances in mathematics, software and research, the conversation asks whether alignment, monitoring and security can keep pace with capability.

Ronan Farrow examines Sam Altman’s contested record of candor and the culture of secrecy, hype, and self-interest surrounding OpenAI. As AI companies race toward profit and political influence, the conversation asks whether meaningful oversight can still restrain an industry making existential claims.

Casey Newton reports from Berkeley’s Curve conference, where AI leaders are increasingly discussing limits on model intelligence and recursive self-improvement as safety fears sharpen. He also explains why the urgency of AI policy has led him to return to X despite his objections to its ownership and culture.

Sen. Adam Schiff argues that voluntary AI safeguards cannot address the technology’s risks to privacy, jobs and national security, calling instead for a powerful federal regulator and clearer rules. The California Democrat also connects tech consolidation, media mergers and concentrated wealth to a broader crisis of public trust.

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 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.

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.

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.

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.

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.

Kaya Henderson reflects on turning around Washington, D.C.’s public schools by replacing top-down certainty with shared problem-solving. The former chancellor makes a case for clear communication, authentic leadership and trusting the people closest to the work.

New York Gov. Kathy Hochul defends aggressive guardrails for social media, 3D-printed guns and police surveillance while pressing AI companies to make data centers answer to local communities. She frames the fight over hyperscalers as a test of whether technological progress can serve workers, families and the public good.

A backlash against AI data centers is scrambling political loyalties, bringing conservative organizers, environmental concerns and anti-tech populism into uneasy alignment. Verge policy reporter Gabby DeVay traces how local fights over water, noise and development have become a tangible referendum on the AI boom.

Maggie Haberman joins Ezra Klein to trace Donald Trump’s second term as a government of improvisation, spectacle and unilateral power, where foreign policy, immigration crackdowns and self-dealing all orbit the president’s impulses. Their conversation argues that the administration’s chaos is less a coherent ideology than Trump reality: a White House shaped by flattery, grievance and a leader increasingly absorbed by monuments to himself.

Altana CEO Evan Smith describes a world where tariffs, customs friction, and military choke points are forcing global trade to become more traceable, automated, and politically fraught. The conversation tracks how AI is remaking both border paperwork and software development while doing little to revive U.S. manufacturing jobs in the way tariff advocates promised.