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In Savannah, Georgia, six police officers have been fired after misusing the Flock Safety camera system — a license plate recognition network increasingly deployed by departments across the country. The case is a sharp reminder that surveillance infrastructure is only as trustworthy as the people operating it, and accountability mechanisms matter just as much as the technology itself.
Turning to a more philosophical tension in artificial intelligence, the Economist is drawing on Garrett Hardin's classic framework to argue that AI is producing its own tragedy of the commons. The concern is that as individuals and companies race to extract value from shared resources — data, compute, public trust — the collective cost quietly accumulates, with no single actor feeling responsible for the damage.
And rounding out today's stories, researchers and enthusiasts are revisiting neural scaling laws — the empirical observation that AI model performance tends to improve predictably as you add more data and compute. It sounds like good news for the field, but the underlying question is whether those curves eventually flatten, and what happens to the entire industry's assumptions if they do.
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