Ben Thompson argues that local approval could limit new AI data centers. That may help residents have a say, but it could also favor firms that already have sites.
A review of public school AI guidance from 35 states and Puerto Rico finds wide support for privacy and fairness. Few documents name students as contributors; none name parents.
Potential Sciences plans to use computer simulations to help find drug candidates. Outside researchers warn that predictions are hard and animal and human tests still matter.
A model of AI-assisted work suggests that easy reliance may leave new workers with less practice and experienced workers with fading skills. It is a theory, not a workplace trial.
A study of AI labels for UK public questions found that repeated runs changed some labels, even when overall accuracy looked similar. A single score missed that shift.
WIRED reports that some schools want a search option without Google's AI answers. Turning off the answer may also change access to search; the available controls need a local check.
WIRED links a UK AI growth figure to a Google-backed forecast. It is a projection with assumptions, not money the country has already gained.
A study asks what different people need to check an AI system. A label alone may not give users the source, control, or human route they need.