FT App on Android & iOS
镜头随意切，角色模样服饰都不变
，这一点在下载安装汽水音乐中也有详细论述
Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.
2 月 26 日，Afterpay 母公司 Block 的掌门人 Jack Dorsey 在 X 上发帖表示：“we're making @block smaller today。”