Comment by ramoz
4 months ago
> DeepSeek, Qwen, Kimi, GLM — running on the LangChain, vLLM, llama.cpp, and Ollama stack
"running on the LangChain" ??
EDIT: look, I think the general discussion is important, so I don't want to denounce the article. I, for one, am excited for better control, ownership, and accessibility of models. The ride labs take us on can be quite frustrating. Maybe there's even signal that the model progression is stalling (ie Opus 4.7). If that's true, then some of the notions made in the article are important to discuss. Ref https://x.com/ClementDelangue/status/2046622235104891138?s=2...
EDIT: this is not a complaint about the grammar. Look at my reply in the comments.
"the" is connected to "stack", not "LangChain". "LangChain" is a adjective that modifies stack.
Cutting it off at "the LangChain" is like if I took the first sentence of your edit and said "look, I think the general" ?? You think the general?
I wasn't complaining about grammar. I didn't even notice that.
There was a bigger opportunity here to mention OpenCode, Pi, etc - open Harnesses that provide accessibility to the oss models, a platform others can build around, and something enterprises can adopt in reliable ways; for the most dominant use case of AI today.
more than that, its pretty clear that there is an insane underinvestment in the harness layer. ive been iterating on my own ideas in that area through the lens of increasing reliability. and holy crap is there so much low hanging fruit. i literally can’t figure out a sustainable way to do the work without commercializing at that layer
Running on the stack consisting of Langchain etc
Yeah not sure about both ollama and llama.cpp though lol
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Rigghht. If you're trying to make a point, go ahead and be straighter about it.
Straighter about it??
2 replies →
Can you contribute to our community when writing this stuff? Put it in a blog post, think about it, etc. You’ve been around long enough to know this is trash shit.
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