PRF is already implemented in WebAuthn Clients and Credential Managers, so the cat is out of the bag. My asks:
I'm tired & experiments are too slowAs I get more tired, the quality of my prompts degradeThis one seems pretty obvious. If I am becoming mentally fatigued, I will write worse prompts, and because of that, the AI will do a worse job. Here's an example of what happens when I'm really tired: Kick off a somewhat meaty prompt (after 30% of context was used to align with the AI on the problem), realize right after submitting that I missed some key context, interrupt the LLM, provide the context, and then have it proceed. Without a doubt, interrupting Claude Code or "steering" in Codex leads to worse outcomes.
The spec does not mandate buffer limits for tee(). And to be fair, the spec allows implementations to implement the actual internal mechanisms for tee()and other APIs in any way they see fit so long as the observable normative requirements of the specification are met. But if an implementation chooses to implement tee() in the specific way described by the streams specification, then tee() will come with a built-in memory management issue that is difficult to work around.，详情可参考91吃瓜
Что думаешь? Оцени!。关于这个话题，手游提供了深入分析
Musician Labrinth says he is 'done with this industry' and hits out at Euphoria
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