Compare https://adventofcode.com/2024/leaderboard/day/1 to e.g. https://fuglede.github.io/aoc-full-leaderboard/
There was also at least one instance of people working together where you would have 15 people from the same company submit solutions at the same time, which can be a bit frustrating but again, not a huge issue.
Usually this goes for any median which might be in a sneaky bimodal distribution of, say, AI models vs humans. I guess it applies to leaderboards too though.
A problem that wouldn't be immediately solvable by LLMs would either be too advanced or simply too large to be fun.
This is probably where programming as a whole is going. Many of the things that make programming fun for me, like deeply understanding a small but non-trivial problem and finding a good solution, are gonna be performed much faster by LLMs. After all most of what we do has been done before, just in a slightly different content or a different language.
Either LLMs will peak out at the current level and be often useful but very error prone and not-quite-there. Or they'll get better and we'll be just checking their output and designing the general architecture.
I'm not played counterstrike in over a decade, so you got me wondering - are there matches where everyone uses aimbots? What does the game look like then? I suppose there's a new mix of strategies evolving, with a higher focus on the macro movement planning?
Yes
> What does the game look like then?
I have only observed the games, it requires a lot of hiding.
Most of the time the winning method is to act at the very last second and hope the other player is distracted.