8 Matching Annotations
  1. Last 7 days
    1. The main characteristic of how the data is transformed is that there will be a syntactic difference — in other words, very easy to see by the neural net — between most of the input statements, which will be tagged as 'communication acts.'

      这一观点提出了通过语法差异来区分不同类型的数据输入,这是科学家AI模型设计的关键创新点,有助于模型区分人类陈述与事实真相。

  2. Apr 2026
    1. We work with the natural logarithm of the time horizon, which puts it on an approximately linear scale.

      文章提到对METR时间范围进行自然对数转换,使其处于近似线性尺度。这种数学转换表明原始数据可能呈指数增长,转换后才能更好地分析线性趋势。这种处理方式在分析AI进步率时很常见,因为它能更好地处理跨越多个数量级的数据。

    1. Academic publishers, documentary archives, game studios, and companies sitting on years of enterprise data have all been courted for the seeds of intelligence needed to train the next generation of models.

      AI训练数据市场的扩张正在重塑多个传统行业的价值定位,从学术出版到游戏工作室,各种看似不相关的数据源都可能成为AI训练的'智能种子'。这种跨行业数据融合正在创造新的商业机会和市场动态。

  3. Apr 2024
  4. www.oecd-ilibrary.org www.oecd-ilibrary.org
  5. Sep 2021
  6. May 2021
    1. ReconfigBehSci on Twitter: ‘the SciBeh initiative is about bringing knowledge to policy makers and the general public, but I have to say this advert I just came across worries me: Where are the preceding data integrity and data analysis classes? Https://t.co/5LwkC1SVyF’ / Twitter. (n.d.). Retrieved 18 February 2021, from https://twitter.com/SciBeh/status/1362344945697308674

  7. Oct 2020