Chris Lattner
π€ SpeakerAppearances Over Time
Podcast Appearances
And so I think that there could be interesting work in terms of building more reliable at scale systems, and that could be interesting.
But if you chase that rabbit hole down, the question then becomes, how do you express your intent to the machine?
And so maybe you want LLM to provide the spec, but you have a different kind of net that then actually implements the code.
So I'll joke and say, like, AGI should be written in Mojo.
Well, so I've, I've thought a lot about it and there's a lot of different parts to this problem, everything from job displacement to Skynet, things like this.
And so you can zoom into sub parts of this problem.
Um,
I'm not super optimistic about AGI being solved next year.
I don't think that's gonna happen personally.
You're thinking... Well, so, I mean, there's a couple of things going on there.
One is I'm sure GPT-5 and 7 and 19 will be also huge leaps.
They're also getting much more expensive to run.
And so there may be a limiting function in terms of just expense on the one hand and train.
Like, that could be a limiter that slows things down.
But I think the bigger limiter is outside of, like...
Skynet takes over and I don't spend any time thinking about that because if Skynet takes over and kills us all, then I'll be dead.
So I don't worry about that.
So, you know, I mean, that's just, okay.
I have other things to worry about.
I'll just focus on, I'll focus and not worry about that one.