← Back to context

Comment by NoDodgeQuestion

15 hours ago

AI model does not know special insight into how model itself was trained. All it tells you is it's prediction of expected explanation.

I checked this, and Claude says "it's a real term of art from Michael Feathers' Working Effectively with Legacy Code (2004), where he defines it as a place you can alter a program's behavior without editing in that place."

While I agree the model doesn't have insight into how it was trained I do think the history of the term itself is interesting.

yeah but I didn't prompt it in a way where I tried to get such an answer, it gave an entire boilerplate rundown just from like me asking "what's up with the 'seams'?"

I might be wrong, but usually it'd be a lot less deliberate, and at least in my mind it wouldn't be surprising if they were heaving training these on these specific "best practices" books/methodologies and thus picking up lingo from them

  • Those books are definitely in the training set if the model can mention them, but why exactly these terms are so commonly used is not necessarily because the book is in the training material. The model does not itself know how its trained.