Either way, it’ll get to a point where a few generations removed from cutting edge will be “good enough” for existing problem spaces to a degree models are further commoditized. Like any other tech (e.g. iPhones) Next-gen will enable new emergent use cases or continue to eke out diminishing advantages over competition.

The gap between the value added by GPT 3.5 and GPT 4 to my every day tasks is immense. Most people, outside of these circles, don't realize that such a large gap exists.

Could I ask what exactly you get from 4 that you don't get from 3.5?

Personally it’s not one specific function but the answer I’m looking for [e.g, code that just works] is significantly better from GPT-4 imo. The better the output is, the less time I spend and the more likely I am to default to using the model in the first place.

I see. So even though 3.5 would attempt to answer your question, the results from 4 are significantly better?

They are required if there is an arms-race between actors wielding models. For example, to detect increasingly authentic deepfakes.

Sure but the clandestine actors most of us worry about don't need that level of sophistication.