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21. August 20266 Min.

Since frontier-model AIs have been trained on a large portion of published human knowledge, widespread publication of incorrect information can taint AI results. As more AI-generated slop finds its way onto the internet, this runs the risk of further poisoning AI results. This ultimately can result in completely unusable information.

3. August 202621 Min.

Anthropic recently announced that Mythos has found mathematical weakness in the core algorithm for the third-round NIST PQC candidate HAWK, effectively halving its effective key strength. Mythos also developed a faster attack on a round-reduced version of AES-128. These are not implementation attacks but mathematical attacks on the core cryptography. We discuss the massive implications of these developments.

5. Juni 20268 Min.

Recent revelations about Mythos and its ability to expose vulnerabilities have forced us to rethink basic assumptions about cyber defense. In our "AI in 1000 Days" series, Jason Soroko and I examine the implications of these revelations three years from now.  This includes upping the overall pace of attack and changes to best practices in cyber security defense.


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