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トップ新着トレンドコメント過去質問紹介求人

naaqq

19 カルマ登録 2 年前

コメント

naaqq
·3 日前·議論
just got 2/18, not a native english speaker, hard for me.
naaqq
·2 か月前·議論
I don't think it's helpful, you can already get a 99+% cache hit on claude code, just change the api settings to deepseek. I would like to use a agent built by deepseek itself using deepseek models. Deepseek should make their own agent based on their model, just like OpenAI and Anthropic.
naaqq
·2 か月前·議論
Not all read tokens are included in the context, many of the tokens are from read cache hits. I hit it many times so it grew to 200M. The number came from the API platform.
naaqq
·2 か月前·議論
Sorry, I was wrong here. I meant a single long session. And there’s no compression, the 1M context is only half used.
naaqq
·2 か月前·議論
DeepSeek’s official API has a cache hit rate of over 99% if you use it continuously within the same codebase for long sessions, so it’s much cheaper than frontier models. I have an example of 200M token session in claude code.
naaqq
·4 か月前·議論
It reminds me of the Easy Programming Language(https://en.wikipedia.org/wiki/Easy_Programming_Language), a Chinese programming language. Many kids in China started learning programming with it about 15 years ago.
naaqq
·4 か月前·議論
This article said some things I couldn’t put into words about different AI tools. Thanks for sharing.
naaqq
·6 か月前·議論
Round the squirrel only if the squirrel is still on the tree.
naaqq
·7 か月前·議論
Start reading from the 3/4 mark, that’s the ‘how’ part
naaqq
·8 か月前·議論
This is so cool. I like the mircoSD card idea.
naaqq
·8 か月前·議論
It makes LLMs stronger because code is something LLMs are good at.