> Yes, we do. Lots of data, lots of training, better algorithms, more understanding of the brain...At this point we still need 10x+ improvements in a lot of are

> Yes, we do. Lots of data, lots of training, better algorithms, more understanding of the brain...At this point we still need 10x+ improvements in a lot of areas, but it's pretty clear what we need to do. This is absurd. How much data? How much training? What kind of training? How much better do the algorithms need to be? How do you define better? Also we literally don't even know how our brains work, so we don't know how "actual" intelligence works, but you're saying we have a clear road map for simulating it? Your entire argument distill down to "we just need to do the same things, but better." And even that statement might be wrong! What if standard silicon is fundamentally unsuited for AGI, and we need to overhaul our computing platforms to use more analog electronics like memristors? What if everything we think we know about AI algorithms ends up being a dead end and we've already achieved the asymptote? I'm not saying AI research is bad. I'm saying it is absolutely unknown by ANYONE what it will take to achieve AI. That's why it's pure research instead of engineering.