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An Anthropic researcher has offered a rare window into self-improving AI, and the results are striking. Automated systems were given ten benchmarks targeting specific misaligned behaviors, and they improved on every single one without degrading overall performance. It's an early but significant signal that AI correcting its own blind spots may be closer than many assumed.
Meanwhile, the infrastructure powering that AI is drawing scrutiny at the municipal level. Austin has become the latest American city to consider restrictions on data centers, following a study flagging serious water and electricity demands. Communities across the country are beginning to push back, asking a pointed question about who bears the real cost of the AI boom.
And on a more practical note, a developer at Promptless AI is making the case that how you structure your codebase matters enormously when working with coding agents. After rearchitecting their project, they reported roughly a fivefold increase in code output. It's a reminder that the gains from AI tools aren't automatic — they reward deliberate design choices.
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