Simon Willison
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1 week ago
Nilay Patel argues that functional augmented reality glasses require continuous camera recording and cloud processing of visual data, which inevitably creates privacy violations. Current technical constraints mean viable AR glasses must either send real-time video to remote servers or use a device as large as Apple's Vision Pro with an external battery. Patel suggests society should consider whether the privacy costs of such a product outweigh its benefits.
TLDR
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1 week ago
Roberto Serrano, an economics professor at Brown University, suspected students were using AI to cheat on take-home exams after the midterm average jumped to 96 out of 100 compared with his historical range of 65-80 percent. He switched the final exam to in-person format in spring 2026, and scores on that exam fell approximately 50 percent from the midterm. The dramatic drop suggests widespread AI use substituted for actual learning in the take-home format, prompting Serrano to publicize the incident through media interviews.
Apple ML Research
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2 weeks ago
Researchers developed an adaptive stochastic policy for autonomous negotiation agents that protects behavioral privacy by preventing adversaries from inferring private constraints from observable negotiation dynamics like concession patterns and timing. The mechanism achieved a 43-50% reduction in adversarial inference accuracy while maintaining negotiation success rates and utility above 90% across 3,000 synthetic bilateral negotiations. This approach enables negotiation agents to operate with differential privacy guarantees without substantially sacrificing negotiation performance or deal completion rates.
