| I'm Simon Strandgaard and I participated in ARCathon 2022 (solved 3 tasks) and ARCathon 2023 (solved 8 tasks). I'm collecting data for how humans are solving ARC tasks, and so far collected 4100 interaction histories (https://github.com/neoneye/ARC-Interactive-History-Dataset). Besides ARC-AGI, there are other ARC like datasets, these can be tried in my editor (https://neoneye.github.io/arc/). I have made some videos about ARC: Replaying the interaction histories, and you can see people have different approaches. It's 100ms per interaction. IRL people doesn't solve task that fast.
https://www.youtube.com/watch?v=vQt7UZsYooQ When I'm manually solving an ARC task, it looks like this, and you can see I'm rather slow.
https://www.youtube.com/watch?v=PRdFLRpC6dk What is weird. The way that I implement a solver for a specific ARC task is much different than the way that I would manually solve the puzzle. Having to deal with all kinds of edge cases. Huge thanks to the team behind the ARC Prize. Well done. |