AI 导读
这是 NVIDIA 非常出色的工作。和所有在 ARC-AGI-3 上表现优异的方法一样，它使用深度学习引导的即时符号世界模型合成，即通过生成程序来表示你所知道的东西，从而在其中导航。 需要说明的是，与其他近期的一些宣称一样，在公开演示集上拿到 100% 并不等于"在 ARC-AGI-3 基准上拿到 100%"。这就好比你说自己通关了一款电子游戏，其实只是打过了教程关。
正文
This is very nice work from NVIDIA. Like all high-performing approaches on ARC-AGI-3, it uses deep learning-guided on-the-fly synthesis of symbolic world models, i.e. navigating the world by generating programs to represent what you know.
To be clear, like with several other recent claims, scoring 100% on the public demonstration set is not the same as "scoring 100% on the ARC-AGI-3 benchmark". It would be like saying you beat a videogame because you cleared the tutorial level.
来源：@fchollet · x.com