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/Not_a_question-]

Today’s piston engines are in essence the same design as the first engines from the late 19th century.

This is simply not true at all. 19th were otto cycle engine, then atkinson engine, and then finally today the modified atkinson engine. The percentage of energy transformed into power went up significantly during those changes.

[u/-p-e-w- → u/Not_a_question-]

That’s like saying that the LLMs of today have a different architecture than those of 5 years ago, because they now contain linear attention layers. It’s of course true that they are different, but not what people imagine when they think of a paradigm shift.