AI

After AI models started knocking down longstanding math problems, insider Scott Aaronson says labs are now quietly testing whether their latest internal models can break major cryptographic protocols

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 08/10/2026, 17:47:26 UTC.

Briefings

Insider Scott Aaronson reported that AI labs are quietly testing whether their internal models can break major cryptographic protocols, following a period where AI models began solving longstanding math problems. This activity suggests a potential shift in how security is approached in the AI era. The evidence indicates an ongoing investigation into the security implications of AI capabilities, though specific details on the protocols tested remain unconfirmed.

Key points

• Scott Aaronson, an AI researcher, reported that AI labs are quietly testing whether their internal models can break major cryptographic protocols.
• This activity follows a period where AI models began solving longstanding math problems, suggesting a potential shift in how security is approached in the AI era.

Context

Following a period where AI models began solving longstanding math problems, insider Scott Aaronson reported that labs are now quietly testing whether their latest internal models can break major cryptographic protocols. This suggests a potential shift in how security is approached in the AI era.

Limitations

Specific details on the cryptographic protocols tested and the exact nature of the security risks remain unconfirmed. The evidence is limited to Aaronson's report and does not include details on the specific models or the timeline of the testing.

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