Sholto Douglas
๐ค SpeakerAppearances Over Time
Podcast Appearances
And covering the downside is AI alignment research and this kind of stuff and automated testing and really thinking hard about that, AI safety institutes, this kind of stuff.
In this scenario.
I mean, like, dramatic allocation of, like, resource towards compute, I think, is sensible.
I would be doing that if I was in charge of a nation state.
I think it just increases your optionality in, like, most of the future worlds.
The US's line is like flat, basically, and China's line is like this.
Yes.
If intelligence becomes this like incredibly valuable input, like intelligence becomes almost a raw input into the economies and quality of life of the future, the thing directly underneath that is energy.
And so making sure that you have like...
incredible amounts of solar, like tile the desert in solar panels, some parts of the desert in solar panels, would be helpful towards making sure that you have more access to intelligence on top.
It's economically worthwhile to do so.
Even if algorithmic progress stalls out and we just never figure out how to keep progress going, which I don't think is the case.
That hasn't stalled out yet.
It seems to be going great.
The current suite of algorithms are sufficient to automate white-collar work provided you have enough of the right kinds of data.
And in a way that like compared to the TAM of salaries for all of those kinds of work is so like trivially worthwhile.
Yeah, exactly.
Now, that being said, I think Moravec's paradox is a little bit fake.
I think the main reason that robots are worse at being a robot than they are at software engineering is the internet exists for software engineering.
GitHub exists, and there is no equivalent thing.