Yes, autocorrect may use text predictors. No, that does not make text predictors “spicy autocorrect”. The denotation may be correct, but the connotation isn’t.
Text predictors (obviously) predict text, and as such don’t have any actual understanding on the text they are outputting. An AI that doesn’t understand its own outputs isn’t going to achieve anything close to a sci-fi depiction of an AI assistant.
There’s a large philosophical debate about whether we actually know what we’re thinking, but I’m not going to get into that. All I’m going to elaborate on is the thought experiment of the Chinese room that posits that perhaps AI doesn’t need to understand things to have apparent intelligence enough for most functions.
It’s also not like the devs are confused about why LLMs work.
Yes they are. All they know is that if you train a text predictor a ton, at one point it hits a bottleneck of usability way below targets, and then one day it will suddenly surpass that bottleneck for no apparent reason.
Yes, autocorrect may use text predictors. No, that does not make text predictors “spicy autocorrect”. The denotation may be correct, but the connotation isn’t.
There’s a large philosophical debate about whether we actually know what we’re thinking, but I’m not going to get into that. All I’m going to elaborate on is the thought experiment of the Chinese room that posits that perhaps AI doesn’t need to understand things to have apparent intelligence enough for most functions.
Yes they are. All they know is that if you train a text predictor a ton, at one point it hits a bottleneck of usability way below targets, and then one day it will suddenly surpass that bottleneck for no apparent reason.