Networking humans is interesting but we have nowhere close to the bandwidth needed now.
GPT-3 manages with mere 12K dimensions on the residual stream (for 175B parameters), which carries all information between the layers. So tens of thousands of connections might turn out to be sufficient.
If so, one might imagine getting there via high-end non-invasive BCI (as long as one uses closed loops, so that the electronic side might specifically aim at changing the signal it reads from the biological entity, and that’s how the electronic side would know that its signals are effective).
Of course, the risks of doing that are quite formidable even with non-invasive BCI, and various precautions should be taken. (But at least there is no surgery, plus one would have much quicker and less expensive iterations and a much less regulated environment, since nothing which is formally considered a medical procedure seems to be involved.)
One might want to try something like this in parallel with Neuralink-style efforts...
GPT-3 manages with mere 12K dimensions on the residual stream (for 175B parameters), which carries all information between the layers. So tens of thousands of connections might turn out to be sufficient.
If so, one might imagine getting there via high-end non-invasive BCI (as long as one uses closed loops, so that the electronic side might specifically aim at changing the signal it reads from the biological entity, and that’s how the electronic side would know that its signals are effective).
Of course, the risks of doing that are quite formidable even with non-invasive BCI, and various precautions should be taken. (But at least there is no surgery, plus one would have much quicker and less expensive iterations and a much less regulated environment, since nothing which is formally considered a medical procedure seems to be involved.)
One might want to try something like this in parallel with Neuralink-style efforts...