Fchollet评NVIDIA在ARC-AGI-3基准测试表现
This is very nice work from NVIDIA. Like all high-performing approaches on ARC-A…
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.
这是 NVIDIA 非常出色的工作。与 ARC-AGI-3 上所有高性能方法一样，它使用深度学习引导的符号世界模型即时合成，即通过生成程序来表示你所掌握的知识来导航世界。
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.
需要明确的是，与近期其他几项声明类似，在公开演示集上获得 100% 得分并不等同于“在 ARC-AGI-3 基准测试中获得 100% 得分”。这就像说因为你通过了教程关卡，就声称自己通关了一款电子游戏。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力