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.

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.

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.

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.

GoFundMe CEO Tim Cadogan defends a for-profit model built on voluntary tips while confronting the platform’s role in medical crowdfunding, disaster relief and America’s frayed safety net. He also discusses AI fundraising tools, payment-processor constraints and the values behind decisions about which campaigns the platform will host.

OpenAI’s claimed breakthroughs on long-standing mathematical problems have rattled a field suddenly confronting AI as both a powerful collaborator and a possible replacement. Mathematicians weigh the value of solved proofs against the human insight, training and new questions that make a discipline move forward.

Semafor editor-in-chief Ben Smith makes the case for an anti-scale news business built on elite audiences, global events and aggressively independent reporting. He and Nilay Patel spar over creator economics, advisory boards, AI tools and whether audiences can still recognize journalism that refuses to be bought.

Google DeepMind’s leadership shakeup has sharpened doubts about whether the company can reclaim the AI frontier, even with its enormous resources, cloud business and consumer reach. Nilay Patel and Hayden Field weigh the costs of bureaucracy, brain drain and a widening split between long-term research and immediate commercial demands.

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.

Bluesky CEO Tony Schneider makes the case for a social network built less like a walled garden than an open web, with portable identities, interoperable apps and user-controlled moderation. He also sketches a business model based on commerce and referrals rather than advertising, while confronting the app’s political reputation and the challenge of broadening its audience.

Charlie Warzel and Sean Illing map the psychic cost of an internet increasingly shaped by bots, recommendation systems, and AI sludge that blurs the line between authentic culture and automated manipulation. Their conversation treats today’s web not as dead but as unnervingly active, a place where humans feel less like participants than raw material for the machine.

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.

Nilay Patel and Hayden Field size up Apple’s trade secret case against OpenAI as both a legal threat and a stress test for a company already juggling executive turnover, IPO pressure and an uncertain hardware strategy. Their conversation widens into a sharper question about AI’s future: whether OpenAI can turn consumer fascination into an actual market before enterprise rivals and courtroom battles define the field for it.

Harvard historian Jill Lepore argues that the privatization of public discourse, from polling and microtargeting to bots and AI platforms, is hollowing out liberal democracy and replacing it with an "artificial state." In conversation with Nilay Patel, she traces how Silicon Valley’s faith in quantification and efficiency has turned citizens into data points while leaving open the question of whether collective political action can still push back.

Proton CTO Bart Butler makes the case that the privacy company is really selling trust, then traces how encryption, Swiss jurisdiction, and a foundation-controlled ownership model are meant to keep that promise intact. The conversation turns from corporate ideals to harder tests: FBI requests routed through Switzerland, looming European surveillance laws, child-safety demands, age verification, and the problem of building AI tools without surrendering user control.

NVIDIA automotive chief Zhinzhou Wu argues that the software-defined car is finally arriving, with central computers, shared data, and AI models reshaping how automakers build vehicles. The conversation traces the industry’s uneven path to autonomy, from China’s EV head start and Tesla’s camera-only bet to the safety case for LiDAR and the economics of putting ever more compute inside a car.

Nilay Patel and Peter Kafka treat Comcast’s breakup as the latest collapse of the old “content plus pipes” fantasy, tracing how a generation of telecom-media mergers failed to turn internet access into cable TV all over again. Their conversation follows the money from NBCUniversal and Versant to Peacock, sports rights, and broadband monopolies, asking what media companies can still own that the internet has not already commodified.

At Cannes, two longtime UTA executives explain how influencer careers became full-scale media companies, built through strategy meetings, product launches, and careful management of platform risk. The conversation treats creators less as internet personalities than as entrepreneurs navigating algorithms, brand deals, physical goods, and the looming pressures of AI.

At Cannes, Digitas North America CEO Amy Lanzi argues that advertising’s AI boom resembles the overhyped promises of programmatic, with platforms selling automation while agencies and brands still need human judgment, strategy, and data fluency. The conversation also traces the rise of creators as full-fledged marketing businesses and the growing fight over who controls the relationship between brands, audiences, and the platforms in between.

Roger Daley returns to discuss how Blackstone’s pandemic-fueled rise led to its merger with Weber, and what it takes to fuse a fast, entrepreneurial upstart with a storied but siloed legacy brand. The conversation ranges from antitrust limbo and tariff pressures to creator marketing, overseas manufacturing, and the culture overhaul required to run one company with two very different identities.