You don't think AGI is feasible? GPT is already useful. Scaling reliably and predictably yields increases in capabilities. As its capabilities increase it becomes more general. Multimodal models and the use of tools further increase generality. And that's within the current transformer architecture paradigm; once we start reasonably speculating, there're a lot of avenues to further increase capabilities e.g. a better architecture over transformers, better architecture in general, better/more GPUs, better/more data etc. Even if capabilities plateau there are other options like specialised fine-tuned models for particular domains like medicine/law/education.
I find it harder to imagine a future where AGI (even if it's not superintelligent) does not have a huge and fundamental impact.
I find it harder to imagine a future where AGI (even if it's not superintelligent) does not have a huge and fundamental impact.