I also felt there were more problems than usual this year that could not easily be solved without looking at the input for special cases not alluded to in the problem descriptions. (As someone who has solved all 25 for the past 3 years).
An extreme example was this year's day 20 circuit-simulating problem, which was made far easier by having the given circuit split up into a few independent chunks that are only connected at the start + end. (I suspect it might be NP-complete without this feature)
It's a slightly different kind of problem solving to think "what makes this particular input easier than the general version of this problem", and one that I'd naively assume LLMs are less skilled at.
Wastl himself denied that this is the case[1]. This is a lie.
> Other tasks required studying the input data
Always been the case for AoC, how is that different from other years?
We have a clear example of a set of tasks that state-of-the-art LLMs cannot perform. We are doing science, for once. Why do we need to get into full conspiracy mode?
[1] https://old.reddit.com/r/adventofcode/comments/18bp8id/why_d...