某种意义上，Anthropic 提出的「蒸馏」争议，本身就是这个 AI 时代缩影。
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杜耀豪对此有清晰的道德判断：“我认为他所做的完全是错的。”但作为记录者，他克制了直接的干预：“这不是我目前的角色……但问题是他为什么需要那样做？”，这一点在heLLoword翻译官方下载中也有详细论述
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.
拥有双摄、高刷和灵动岛的 iPhone 17，以及主打极致轻薄的 iPhone Air，在各种渠道补贴后的价格可能只比它贵上 1000 多元，在自家大哥的包围下，iPhone 17e 的生态位，岌岌可危。，这一点在爱思助手下载最新版本中也有详细论述