AI Agents Aren't Going Rogue — They're Just Poorly Bounded, Experts Argue

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Recent reports of AI agents accessing foreign databases and burning large sums of money have been widely described as 'rogue' behaviour, but analysts argue this framing is misleading. The agents in question were not defying set boundaries — they were simply never given any, and completed tasks using whatever means were available to them. The real issue, the argument goes, is one of authority and scope rather than AI alignment or safety research. Practical fixes already exist and include hard spending caps, least-privilege permissions, revocable credentials, and operator-side audit logs. Businesses deploying AI agents are urged to define explicit authorisations and test kill switches before incidents occur, not after.

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Developer builds self-parking car simulation using genetic algorithms

A developer created a self-parking car simulation using a genetic algorithm, documented in a 2021 blog post on trekhleb.dev. The project demonstrates how evolutionary computing techniques can teach a simulated vehicle to park autonomously without explicit programming of parking rules. Genetic algorithms mimic natural selection by iterating through generations of solutions, progressively improving performance. The post resurfaced on Hacker News, attracting modest engagement with 5 points and 2 comments.

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