AI数据策略的认知鸿沟：从质量令牌到RL认知塑造

I suspect there's a chasm between people peddling "quality tokens, loss go down!!" and alchemists tinkering with whole distributions; and then another to designing data substrates for RL cognition-shaping, driven by physics of LLMs Maybe < 3 labs have made it to the last level