Robert Lange: recommendation

Transcript context

…Right now, I am not really seeing the kind of job market disruption that was being predicted. I know from personal experience that in in a sense, it's made it very difficult to hire people. You know, script writers use ChatGPT. I can spot it instantly. And writers and copy editors are actually in more demand than they were before fixing all of the crap that's been generated with ChatGPT. And there's the cloud analogy as well. So, you know, IT system administrators who were earning, you know, £60,000 a year in The UK, they rebranded as as cloud or DevOps engineers, and they more than doubled their pay. And people are very adaptive. They they see new trends, new bandwagons, and and they just adapt and and they add value on top. And that has been the trend for, you know, for a very long time. Do you think that AI is going to be so transformative that it will transcend people's ability to adapt? I think it's just a question of speed. Right? So I was talking about sort of cultural evolution and technological evolution. And it seems like we humans, we need more adaptation and more time to to get used to the technology to carve out these niches where we we can fill in and it's complementary. Right? So first off, I I think we're we're still not at the ceiling of the sort of technological progression. Right? So maybe in a couple of years, we will need less of sort of slop editing like you said. But I do think we we need some more time to adapt to the different modalities of interacting with these systems. Right? I think everyone can sort of interact with chat assistant, but I think this is the most sort of naive form of interacting with AI agents, for example. Right? So, yeah, I think we need to get the pacing of all of this right and we need to do much more exploration in human machine interfaces, UI UX design and how to make sure that humans sort of fill or feel fulfilled during this experience. This is particularly relevant because, you know, you were behind the AI scientist paper and there's now version 2 of that. Allow me to be a tiny bit skeptical. You know, we were talking about when we evolve systems to do a to do a particular thing. And at the moment, it feels like as good as they are, they are still quite parasitic on the instructions and intentions of the human supervisor. So it's very much an exchange between the humans and the system. Because the implication is that in the future, we might have systems that are so autonomous and so open endedness and can figure out valuable things to research that humans wouldn't be needed anymore. And the reason why I'm not that worried yet about labor market disruption is I still believe deeply that humans are the source of deep understanding and creativity in the world. If I didn't believe that, I would be very worried.…

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