Comment by nomel

> When a LLM is tired and lazy, how does it recharge and regain motivation?

What would be in the statistics? If you go look at your long conversations, working with another, it will be fairly obvious. Keep in mind we're talking next word prediction based on context, not actual action (the LLM doesn't need real rest).

If you went and looked, you'll probably see something like "Great work! Have a good weekend! We can get back to this on Monday." then, next message you instantaneously send something like, "Hope you had a great weekend, let's do this!" and now you're in a latent space where the statistical output is around a well rested human conversing with another.

I see it as boring simple statistics. They're getting much better at hammering these statistics out though, in the latest models. I still see a little of this in Opus 4.7, when switching to planning. Though I wonder if that's more about its own more mechanical banter filling the context, resulting in more robot/compliant responses, degrading the usually more "expressive" planning conversations.