AI 导读
在可验证领域,模型能力的扩展应当保持无上限。模型只会通过“吸收越来越多的计算宇宙”而持续改进,而计算宇宙在构造上就是无限的。
正文
In verifiable domains, model capability scaling should remain unbounded. Models will simply keep improving by "absorbing more and more of the computational universe", which is infinite by construction.
来源:@fchollet · x.com