I would personally argue that it's a lot easier to say something definitely isn't x, with confidence, than to say it definitely is. I definitely don't know what the surface of jupiter looks like, but I can pretty confidently say it doesn't look like Kansas. I think the better it gets, the easier it will be to spot the shortcomings, because the gap between what it can do well and what it can't will widen. Anything the technology is fundamentally incapable of ever achieving will be made obvious by the fact that it will simply continue to not achieve it. We may not be able to easily define the totality of what exactly it needs to have to count as AGI, but the further it progresses, the easier it will be to point out individual things it's definitely missing.

I'm not saying we can't build it, but what we have right now certainly is not it. Right now context is just a bunch of text. Surely the human mind's context resembles something more like a graph database. What if we could use a database for context?

Explain how? Even if you are using crons or heartbeats to reactivate the model they are still dependent on context windows that are quite small. With frontier models I still have to remind them how stuff works, stuff they forgot or focused on the wrong thing, etc.

Also every AI company is motivated to have us use their models _just enough_ to want to pay for them, but not more than that.

It’s still pretty hard to get a contractor to show up and do a good job for less than a king’s ransom. Not that everyone can be a contractor, but there are lots of industries where there aren’t enough workers.

We also need to rebuild our manufacturing supply chains, and there’s a huge amount to be done there.