GeekPlux Lab
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随便发发,读了的,看到的,所思所想的。

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Andrej Karpathy 这个 speak 太值得一看了,刚开始三分钟就被镇住。以后唯一的编程语言将会是英语,LLM 会成为新的 LLM OS。还没看完已经记了一些笔记 #AI #LLM

https://www.youtube.com/watch?v=LCEmiRjPEtQ
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这篇文章不错,作者介绍了一些他系统性从外到内克服 #ADHD 的方法。我自己应该还不到 ADHD 的程度,但也用了一些方法来保证工作的进度。感觉自己在工作上正从 P 人慢慢向 J 人过渡,但业余还是很懒散和随意的。 #productivity

https://borretti.me/article/notes-on-managing-adhd
老头环美如画,我至今在老头环上玩的时间已经超过 400 小时,有时候就是进去逛逛都身心舒畅。尽管玩了这么久还是手残党,尽管老是被 boss 虐待,还是很喜欢这款游戏。 #游戏 #艾尔登法环

https://www.youtube.com/watch?v=a4XWVqXhBRI
Forwarded from Parallel Experiments (Linghao Zhang)
Naming is extremely important in Computer Science and, frankly, everything. Good naming is hard. Being able to pick a good name shows a lot of good taste.

Context engineering (a term promoted by Karpathy: https://vxtwitter.com/karpathy/status/1937902205765607626) is much better than:
- Prompt engineering: "Prompt" is just too overloaded.
- In-context learning: This is more of a research term and feels awkward to describe engineering required for building good LLM applications.
- RAG: Today, when done right, RAG is a very specific kind of context engineering. But too many people conflate it with "anything that puts stuff in the prompt".

Image credit: https://github.com/humanlayer/12-factor-agents/blob/main/content/factor-03-own-your-context-window.md
笔记还是要做的,但特别详细的笔记已经完全没必要了。而且我最近回归了用手写笔记,我发现现在笔记的要点在于激发创造力、激发灵感、串联想法。对于这些,纸和笔是最好的工具,有时候列几个关键字,画点结构图,勾勾划划之间就把事情想通了。打字笔记显得无效又笨拙,排版的过程更是对注意力的消耗。
#笔记 #notetaking
https://www.joanwestenberg.com/p/i-deleted-my-second-brain
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