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 gave garbled output; more likely that GPT3 had seen similar training data.)
The belief of sentience isn't new. When ELIZA came out few decades ago, a lot of people were also astounded & thought this "probably was more than met the eyes".
It's a fad. Once people understand that sentience also means self-awareness, empathy & extrapolation of logic to assess unseen task (to name a few), this myth will taper off.
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 output; more likely that GPT3 had seen similar training data.)
The belief of sentience isn't new. When ELIZA came out few decades ago, a lot of people were also astounded & thought this "probably was more than met the eyes".
It's a fad. Once people understand that sentience also means self-awareness, empathy & extrapolation of logic to assess unseen task (to name a few), this myth will taper off.