Much of the improvements in the tools I use have been things that reinforce the machine elements of the token-based-reasoning-machine. Over time less they've been exhibiting a lot less "human-like" behavior. E.g. they get "lazy" far less than they used to.

(Perhaps they weren't lazy, but were working in spaces that corresponded to training data that said things like "and then repeat this for the next 20 examples"...)

And it's entirely unclear to me how a "happy" vs "sad" model would behave when given prompts generated by coding tool harnesses. Even maintaining "neutral" emotions in the face of the feedback/steering from the tool harnesses doesn't feel very "human."