AI policy and AI product rollouts collided today, with governments trying to pin down a technology that’s been treated—by everyone from startups to procurement officers—as if it will simply arrive anyway. New York City Mayor Zohran Mamdani used People’s AI Assembly to argue that AI deployment isn’t inevitable, pointing to his order banning AI use in elementary and middle schools and pressing residents to demand accountability rather than waiting for federal guidance to catch up.
That theme sharpened across the country in an October 19 order from the Department of Homeland Security. The directive orders U.S. federal civilian agencies to remove DeepSeek’s AI technology, citing “multiple threat vectors,” and requires agencies to delete DeepSeek-affiliated products and stop buying DeepSeek services for their systems. For enterprises, that’s the practical question hiding under the politics: how do you govern model suppliers fast enough to keep pace with deployment?
Meanwhile, the commercial side kept sprinting. Town, launched only weeks ago, raised $108 million in a Series B at a $1 billion valuation, after a $55 million Series A, aiming to deepen integrations for its “Townies” agent workflows. And Blacksmith’s partnership with JP, Aayush, and Maru focuses on a problem companies will face whether models are banned or adopted: verifying code correctness at agent speed, so generation doesn’t just scale errors.