Konstantin Kisin

Now, I want to emphasize that current AIs are nowhere close to this.

You and I can say, we can do physical work.

We can work in a factory, we can go mow the lawn, we can pick up this cup.

Robots are not good enough to do that yet.

So the fact that robotics is not there yet already means that we're far from that big definition of AGI.

Wait, robots can't pick up a cup?

They can, but they have to... My understanding is that they have to be trained in specific environments where they'll have seen, this is what this house looks like, and I need a specific kind of cup that I'm dexterous enough to pick up.

But if you replace this with one that's more circular and is tougher to grip...

You and I don't need to have seen that house a hundred times to then just go in and pick it up.

The robot just needs a tremendous amount of data to be flexible in these ways, or it's not flexible in those ways.

So being AGI would be able to be able to learn as fast as humans, not just have that distilled knowledge.

Now the labs say, okay, fine, robotics is hard, it might take a while, but let's try something easier.

We'll just do all knowledge work.

And knowledge work is basically anything that you could do with a Zoom subscription and a Gmail account and Google Drive account.

All this work that doesn't involve manipulating the physical world.

I still think we're not there yet.

There's a tremendous amount of work that has to be done even there.

But this is easier because everything that happens on a computer

it's easier to feed that data into an AI, right?

It's like all being generated on a computer.