> the much promised impacts aren’t there and aren’t coming anytime soon

at least according to industry analysts, the thesis at the moment is that reasoning models (which loop over their own output and backtrack if necessary) will bring fidelity close to 100% and find novel solutions not present in the training dataset. but they consume more tokens, they require more computing and the infra for it is still being built. so the outlook for those impacts is ~2030