Asked on The Diary of a CEO whether surveillance was his main concern about artificial intelligence, Professor Jiang said it was not. His bigger worry is that AI "cheapens the human experience" and distracts people from what he calls their true mission of spiritual growth. He allows that AI may outdo people at mathematics and medical diagnosis, and traces his own answer through a materialist education, decades of anger, a recent belief in God and his confidence about his child.
On The Diary of a CEO, Professor Jiang held up a semiconductor to argue that technology is "specialization times globalization" — chips designed in California, printed by Dutch machines, made in Taiwan, assembled in China. If that trade fractures, he says, AI will not leap to general intelligence; it will be repurposed to watch people instead. The host offered a different reason to expect the same surveillance.
On the Training Data podcast, Peregrine founders Nick Noone and Ben Rudolph argue that the public-safety software business has grown by collecting ever more data, and that their company inverts it: join the records an agency already holds, leave ownership with the agency, and lock down who may look. The same logic leads Noone to refuse a company-wide ban on facial recognition, leaving that decision to customers, law and local norms.
On Moonshots with Peter Diamandis, the panel used Flock Safety's camera network — and a costumed speaker at a San Diego council meeting — to ask what happens when police departments can search each other's plate data. Salim Ismail argued the shift is from finding a named suspect to finding people who behave like suspects, and told the story of a border name-match that took years to resolve. Peter Diamandis defended the safety side of the trade, and the panel debated David Brin's proposal to let citizens search the same cameras.
Bernie Sanders invoked the AI labs’ own safety commitments in demanding a development pause. On Moonshots, Emad Mostaque and the panel argued instead for controls on biological synthesis and faster detection of threats—but a proposal to monitor every AI prompt raised a different question: how much privacy would those defenses cost?