I've personally been facing this lately 5.6 at max effort and fable have done tasks for me that I previously that would be a nearly 6mo project and it took me a week. It also did it better than I would have.

The task was to build a high performance classification model. It not only helped make an entire data capture pipeline but also made the sythetic data basline needed. Then it proceeded to build and test 100 different model varients with methods and techniques I've never seen before. The results are basically SOTA based on the effeciency and compute contraints.

But this brings up something huge about these. I was there. I pushed the direction and work throughout it all. If it was entirely up to fable max or sol max the result would have been pretty bad.

All of these things are still chatgpt 3 scaled. It's identical even if the scale has gotten pretty wild. I could ask chatgpt 3 to make a single function and it worked well, 4o a file, 5, a small project, 5.6 far more, biggest improvements lately is they don't seem to get lost on long running tasks.

Is big gpt 3 AGI? I don't think so but perhaps scale can mimic it close enough our squishy brains fail to handle them correctly.