Nathan Lambert@natolambert · XAI 摘要
推文强调开放科学在AI讨论和研究中的基础性作用，以Tulu 3项目创建RLVR（基于强化学习的验证与推理）为例，说明公开研究方法能为领域设定标准并减少未来冗余。同时指出一个关键现象：AI前沿实验室的创新常被学术界独立重现，但外部人员无法接触这些内部工作，唯一的参考来源就是公开分享的研究。因此，开放科学对推动整个领域进步至关重要。
I'd go further and say most of open science defines a lot of how AI is discussed （e.g. our Tulu 3 project coining RLVR）.
There's a lot of value in this sort of level setting and cutting out future noise in science by establishing methods publicly.
Someone once told me: "You should be the last one to reinvent something" -- not sure how useful this is, but this is a common occurrence in science. It is true ...