DeepMind: human-guided AI agents find faster signature-forgery and batch-factoring attacks on legacy RSA-1024
- What it is not: a break of current internet crypto. DeepMind repeatedly bounds the result to obsolete 1024-bit RSA.
- Why it matters anyway: AI shortens the historical 'years-to-decades' cadence of cryptanalytic advances — treat hardness margins as things you re-test, not permanent fixtures.
- Read the numbers carefully: the 1,600× figure is a theoretical estimate for a specific attacker-control case; the concrete sandbox measurement cited publicly is the 3.5× CPU saving on a known benchmark key.
- Primary pointer: DeepMind and Pushmeet Kohli's Nov 6 X posts / article; technical papers linked from that announcement.
Sources: Google DeepMind on X: AI agents accelerate cryptanalysis; two weaknesses in legacy 1024-bit RSA (Nov 6) · Pushmeet Kohli: Advancing the frontier of cryptanalysis (X article, Nov 6)