[markisus]

It's funny that the machine intelligences that arose out of the bitter lesson cracked this benchmark by meticulously modeling each individual case with rule based approaches.

When humans tried making AI through rule based approaches, maybe we only failed because we couldn't type out the rules fast enough. Or we got burned out after writing the thousandth heuristic to fix the never ending edge cases. And we also got side tracked by concerns like maintainability, modularity, and code re-use. But I wonder if we take modern or near-future LLMs who never tire and write code faster than any human, could we make a frontier level GOFAI agent?