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Do you all use local models only for coding? What about using them as decision assistant? For instance, I work in science and sometimes I have many scattered ideas that I'd like to feed into an LLM so I can refine them and extract a meaningful research question. Are local LLM suited for that task?

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After predictably failing at generating a sewing pattern, Gemini gave me yesterday this excuse:

> Because AI generates pixels based on visual patterns rather than mathematical geometry, it creates the illusion of a sewing pattern without any of the functional blueprints required to actually drape and construct a real garment.

If you want the illusion of a meaningful research question then sure, local models will give you that.

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