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Using LLMs to solve AOC
(www.jerpint.io)
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this post was submitted on 30 Dec 2024
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Advent Of Code
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An unofficial home for the advent of code community on programming.dev! Other challenges are also welcome!
Advent of Code is an annual Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like.
Everybody Codes is another collection of programming puzzles with seasonal events.
EC 2025
AoC 2025
Solution Threads
| M | T | W | T | F | S | S |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 8 | 9 | 10 | 11 | 12 |
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- Follow the programming.dev instance rules
- Keep all content related to advent of code in some way
- If what youre posting relates to a day, put in brackets the year and then day number in front of the post title (e.g. [2024 Day 10])
- When an event is running, keep solutions in the solution megathread to avoid the community getting spammed with posts
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console.log('Hello World')
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I found taking the straight text from the website to GPT o1 can solve it but sometimes GPT o1 produces code that fails to be efficient. so challenges that had scaling on part 2( blinking rocks and lanternfish ) or other ways to cause you to have a hard time creating a fast solution(like the towel one and day 22) are places where they would struggle a lot.
day 12 with the perimeter and all the extra minute details also causes GPT trouble. So does the day 14, especially the easter egg where you need to step through to find it but GPT can't really solve it because there is not enough context for the tree unless you do some digging on how it should look like.
these were some casual observations. clearly there is more to do to test out, but it shows that these are big struggle points. If we are talking about getting on the leaderboard, then I am glad there are challenges like these in AoC where not relying on an llm is better.