I am curious what actually happens between two generations of AI models.<p>For example, how do you go from Sonnet to Opus? Is Opus trained from scratch, built on Sonnet, or mostly the same model with more compute and training?<p>And how do models like Astra suddenly make a big jump in some capabilities? What is stopping Anthropic, Mistral, or others from doing the same thing? Is the main difference just more compute and money, or are there training methods, data, architecture, and research breakthroughs that competitors may not know about?<p>I can&#x27;t think of a better place to ask this. I am guessing there are people here who actually work on these models and know what goes on behind the scenes.

  • 情报分类：技术价值
  • 命中依据：AI模型训练方法讨论，有信息量
  • 来源：Hacker News 新项目
  • 原作者：superasn
  • 发布时间：2026/9/12 02:24:20