Sure, and I said it was confident, not correct.

I find it interesting that it pulled some kind of interpretation from the string. Far more than I would have. I asked it to translate the English data back into a similarly plaintext string and then asked a second instance to decode it and it came back with a similar, slightly distorted response.

The point is more to say that a language model is exactly the sort of thing that would be used to determine whether a given potentially decoded plaintext string is actually decoded, and given various anachronisms and shorthands our personal language models may not be adequate.

But a giant one that's been fed all sorts of data including examples of text of similar usage sounds actually like it might be exactly the tool for this problem.