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…
I guess I'm just not interested, or worried, in a model that can beat the average human performance. That's an astoundingly low bar. Let me know when it can outperform experts in meaningful language tasks.