this post was submitted on 05 Sep 2026
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AI - Artificial intelligence
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As it happens I'm working on a chessdb.nu, which is supposed to be a set of tools and skills for llms to annotate, even Socratically coach chess positions and games.
Two observations, 1) I think the post is really just trying to explain that the LLM is not limited to the next token in its planning. It can have an idea of where it is going all the way to the last period and token prediction is just the step by step to get there. Even more interesting is that the LLM can change plans midstream (cf: seahorse emoji). And 2) without going so far as saying it is existentially making choices, it is showing complex reasoning and planning which is a few steps above a Markov Chain.
As for myself, I like the analogy of french curves and splines being fixed and added to with the LLMs internal reasoning and then walked token by token. But LLM's don't actually have to be that continuous and smooth, although in fairness when it isn't, it's usually a failure mode.