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AI Hiring Bias & Weather Data Risks

MIT Technology Review •
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New research shows LLMs develop their own biases from experience, stereotyping job applicants more than humans do. As AI companies build agentic models that remember user details, they may amplify these biases, warns Michelle Kim.

The risk of weather data sabotage is rising as prediction markets create financial incentives to manipulate forecasts. Experts Monique Kuglitsch, Jesper Dramsch, Franz G. Kuglitsch, and Andrea Toreti warn that AI-driven forecasting combined with market pressures could compromise global weather accuracy for airlines, grids, and farmers.

SpaceX is negotiating to sell the Pentagon AI compute worth billions, deepening ties with the DoD. Trump Media seeks $100,000 monthly for early access to Trump's posts. ICE improperly shared Medicaid data with Palantir. Apple briefly overtook Nvidia as the world's most valuable company.

Other developments: Washington advances armed robots; China's Moonshot pauses subscriptions amid demand; lab-grown teeth advance; AI slop threatens birdwatching data; and five cups of coffee daily may benefit heart health. Rayan Krishnan notes the paradox of authoritarian governments producing egalitarian models while democratic ones breed authoritarian companies.