How Many Guesses Does It Take to Crack an AI's Random Number?
Researchers analyzed the exact answer distribution from the logits of open-source artificial intelligence models to determine how predictable their generated random numbers truly are. By converting these distributions into bits and measuring the guesses required to crack them, the study reveals security vulnerabilities in how language models handle pseudo-randomness, impacting cryptographic applications.
Source: Towards Data Science