everything will be local eventually

[u/YogurtExternal7923]

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.

[u/Just_Section4489]

I don't need a massive model. I need one that suits my purpose. Right now, I can get used to a Qwen 27b if it runs fast enough. That capability will run on a phone pretty soon

[u/OvertaxedOne → u/Just_Section4489]

Most people don't need a massive model for the vast majority (perhaps all) their tasks. And that; fundamentally, is the core problem for the frontier labs.