I don't think we have much to worry about in terms of economic disruption. At this point it seems pretty clear that LLMs are having a major impact on how software is built, but for almost every other industry the practical effects are mostly incremental.
Even in the software world, the effect of being able to build software a lot faster isn't really leading to a fundamentally different software landscape. Yes, you can now pump out a month's worth of CRUD in a couple days, but ultimately it's just the same CRUD, and there's no reason to expect that this will change because of LLMs.
Of course, creative people with innovative ideas will be able to achieve more, a talented engineer will be able to embark on a project that they didn't have the time to build before, and that will likely lead to some kind of software surplus that the economy feels on the margins, but in practical terms the economy will continue to chug along at a sustained pace that's mostly inline with e.g. economic projections from 10 years ago.
Agreed. I also believe the impact on producing software is also over-hyped and in the long term there will be a pull-back in the usage of the tools as the negative effects are figured out.
The unfortunate truth (for Amodei) is you cant automate true creativity and nor standardise taste. Try as they might.
> I don't think we have much to worry about in terms of economic disruption. At this point it seems pretty clear that LLMs are having a major impact on how software is built, but for almost every other industry the practical effects are mostly incremental.
You clearly didn't read the post. He is talking about AI that is smarter than any human, not today's LLMs. The fact that powerful AI doesn't exist yet doesn't mean there is nothing to worry about.
> At this point it seems pretty clear that LLMs are having a major impact on how software is built, but for almost every other industry the practical effects are mostly incremental.
Even just a year ago, most people thought the practical effects in software engineering were incremental too. It took another generation of models and tooling to get to the point where it could start having a large impact.
What makes you think the same will not happen in other knowledge-based fields after another iteration or two?