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Scientific Research

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Wednesday, 29 July 2026

Quoting Matthew Green

Simon Willison's Weblog 1 month ago 5

Matthew Green comments that AI systems becoming capable at cryptanalysis during the transition to post-quantum algorithms could either strengthen confidence in new standards or expose weaknesses. Green notes this timing is fortuitous since the field is evaluating novel cryptographic problems to replace RSA and elliptic-curve methods. If AI cryptanalysis tools prove robust, the cryptography literature and standardization process could benefit from more thorough public scrutiny.

What happens when you put AI to work deciphering lost languages?

Ars Technica 1 month ago 33

Researchers are applying AI techniques to decipher lost ancient languages like Linear A and Etruscan that lack bilingual reference texts or known linguistic relatives. Linear A, used by Bronze Age Minoans on Crete, has no confirmed connection to any known language, while Etruscan from pre-Roman Italy has only fragmentary vocabulary from funeral inscriptions. AI tools may help linguists discover patterns and meaning in these isolated writing systems without traditional decipherment anchors.

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