LLM are definitely not sentient. As someone with a PhD in this domain, I attribute the 'magic' to large scale statistical knowledge assimilation by the models - and reproduction to prompts which closely match the inputs' sentence embedding. GPT-3 is known to fail in many circumstances which would otherwise be commonplace logic. (I remember seeing how addition of two small numbers yielded results - but larger numbers…
> I attribute the 'magic' to large scale statistical knowledge assimilation by the models Can the magic of the human brain not also be attributed to "large scale statistical knowledge assimilation" as well, aka learning ? > GPT-3 is known to fail in many circumstances which would otherwise be commonplace logic. (I remember seeing how addition of two small numbers yielded results - but larger numbers gave garbled outp…
No, experimentation is an act on the world to set its state and then measure it. That's what learning involves.
These machines do not act on the world, they just capture correlations.
In this sense, machines are maximally schizophrenic. They answer "yes" to "is there a cat on the matt?" not because there is one, but because "yes" was what they heard most often.
Producing models of correlations in half-baked measures of human activity has nothing to do with learning. And everything to do with a magic light box that fools dumb apes.