We are yet to see a pure theoretical roadblock between LLMs and AGI. The way things are going, I wouldn't be surprised if an existing LLM architecture (whether fully transformer-based or one of the hybrids) can hit AGI with the right scale, training and some scaffolding.
On the other hand, extracting usable insights from neuroscience? Not at all easy. Human brain does not yield itself to instrumentation.
If an average human had 1.5 Neuralink implants in his skull, and raw neural data was cheap and easy to source? You bet someone would try to use that for AI tech. As is? We're in the "bitter lesson" regime. We can't extract usable insights out of neuroscience fast enough for it to matter much.
On the other hand, extracting usable insights from neuroscience? Not at all easy. Human brain does not yield itself to instrumentation.
If an average human had 1.5 Neuralink implants in his skull, and raw neural data was cheap and easy to source? You bet someone would try to use that for AI tech. As is? We're in the "bitter lesson" regime. We can't extract usable insights out of neuroscience fast enough for it to matter much.