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I think the current train of thought is "keep increasing the size of the language model and you don't need to worry about integrating with LSPs". Perhaps there

I think the current train of thought is "keep increasing the size of the language model and you don't need to worry about integrating with LSPs". Perhaps there is some merit to this. If the language model is large enough to contain the entirety of the documentation and the LSP itself, then why bother integrating with the LSP? _Especially_ if you can just paste the entirety of your codebase into the LLM.

runeks 4y ago
> If the language model is large enough to contain the entirety of the documentation and the LSP itself, then why bother integrating with the LSP? If your goal is to get a response to an LSP query, why on earth would you use an LLM trained on data where >99.9999% of that data has nothing to do with answering an LSP query? Why would I switch out an LSP server of 100% accuracy for an LLM that’s slower and has lower accuracy?