Objectively, we are talking about systems that have gone from being cute toys to outmatching most juniors using only rigid and slow batch training cycles.

As soon as models have persistent memory for their own try/fail/succeed attempts, and can directly modify what's currently called their training data in real time, they're going to develop very, very quickly.

We may even be underestimating how quickly this will happen.

We're also underestimating how much more powerful they become if you give them analysis and documentation tasks referencing high quality software design principles before giving them code to write.

This is very much 1.0 tech. It's already scary smart compared to the median industry skill level.

The 2.0 version is going to be something else entirely.