Rob, Luisa, and the 80000 Hours team
๐ค SpeakerAppearances Over Time
Podcast Appearances
So how would robot AI compete with just the smartest AGI?
Okay, so yeah.
So again, it's like maybe a long-term short versus short-term story a bit where like if we could come up with an AI model that in particular like replicated my style of work and my knowledge, all of my context, my experience, then at least in the immediate term, I think 80,000 hours would be pretty excited about that because they could get like more of the kind of work that they're currently paying me to do.
In the long-term context,
that will probably be out-competed by GPT-9 or whatever it might be.
But nonetheless, I guess this might extend the era where me and an AI can work together productively and also even past that point, even after the point where flesh-and-blood me is not so useful anymore, like Robert AI, with all of the experience and all the context that it's put up over time, could have another good couple of years earning a wage.
So this is a bit of a story where you're imagining, well, yes, you want a very powerful general AI-based model.
However, there's a lot of different tasks in the economy.
There's a lot of different specialized knowledge that you might want to have.
Like fine-tuning.
Yeah, exactly.
And roles in organizations.
Different personalities that could be useful in different organizations and circumstances.
And so training them to mirror a whole lot of different people that might have a useful niche in the economy, that might be a phase that we go through where that is the optimal application that the companies might want or the optimal way of using the base models they might want.
Is that true?
Okay, well, I guess that's a slightly mixed pitch, but if you want to learn more, I guess it's like workshoplabs.ai.
And I guess I think Luke and Rudolph are probably pretty interested in getting emails from people who would like to have their input or potentially be collaborators or investors or donors.
Yeah, is there any other research that's interesting that you would like to shout out before we finish?
So I guess many listeners work at AI companies.
Do the companies or the staff there have much of an opportunity to address these issues?