Comment by RC_ITR
2 years ago
This is an interesting post (and an interesting reminder that even Bitcoin maximalists had other things on their minds in 2015).
I would argue that the first step of the maze makes a ton of sense for the voice recognition/image classification/driving use-cases of 2015 that had binary outcomes, but now-a-days, what would it even mean for an LLM to be right 80% of the time? 8/10 words are predicted correctly? It can speak correctly on 80% of topics?
The reason people are so jazzed about generative AI is that it's not autonomously doing a task - it's helping a human operator by making (sometimes very useful) guesses on their behalf. It's much more of a tool than a solution (even if a lot of people want it to be a solution).
8 out of 10 is pretty darn good though right? Then again, a 9 year old is probably right 80% of the time, and a calculator 99%, so we need to compare to other similar tech. I don't know what to compare it to though. Maybe current product suggestion engines since that's basically what this "AI" is.