I've been bearish of these efforts over the years, and remain so. In my more cynical moments, I even entertain the thought that it's mostly a means to delay aggressive regulatory oversight by way of empty promises.

Time and time again, opaque end-to-end models keep outperforming any attempt to enforce structure, which is needed to _some_ degree to achieve this in non-prompting manners.

And in a vague intuitive way, that makes sense. The whole point of training-based AI is to achieve stuff you can't practically from a pure algorithmic approach.

Edit: before the pedants lash out. Yes, model structure matters. I'm oversimplifying here.