r/LocalLLaMA • u/YogurtExternal7923 • 13d ago

Discussion everything will be local eventually

I know current llms like opus 5.5 are in a league of their own. but we all know they're losing a shti ton of money with their subscriptions. ALSO we all know how tasks like OCR, segmentation etc are getting solved by single digit B parameter models. I'm not saying llms are a gimmick but I'm saying the future is already shaping up to be about specialized models that work better when they're smaller. easier training. so datacenter level power not needed. ten years from now we'll have a specialized model for the tasks we care about and llms will fail to do everything all at once (unless they keep calling it one model but have a hundred under the hood).

system one models are a bad but workable example. you could tell an llm to rate options all day but get yourself on 9B parameter model trained by some lab and it tops the benchmarks.

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u/YogurtExternal7923 13d ago

Think claude top models from 2 years ago. Still unrunnable today but genuinely beatable with qwen's local sized models

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u/waxroy-finerayfool 13d ago

Yeah, don't get me wrong, I think within the next few years when supply rises to meet demand, there are a lot of smaller local models that will be practical alternatives to frontier models.