just to clarify - our machine is unsupervised, so it learns the normal for any application, and identifies log sequences that are novel for that application. We then turn around and feed it to GPT-3, which indeed tries to match on existing data sets in the public domain. So while the problem indeed has been documented by someone else in the world, it is still novel for that particular application.