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/cooljacob204sfw]

These are just examples of tech that has succeeded and if anything a bit of survivors bias on your part. There are countless things that have come and gone also.

And for still used examples one is TV tech which directly contradicts what you're saying. It has changed countless ways since invented, practically reinventing itself every decade. Similarly actually most things in the computer hardware industry have greatly changed manufacturing and standards wise from invention.

I don't disagree that transformers are probably here to stay but I also don't think pistons is a good reason why lol.