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Culture War Roundup for the week of April 17, 2023

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I believe there are two broad scenarios for what might happen with ML from an economics/politics perspective.

Scenario 1 is that ML will be a powerful productive tool (ie capital) in the hands of those that can afford it just like many other inventions throughout history.

If this happens the reaction will be along the lines we all know too well. The left will complain that those in power gain even more power and now have novel ways to control and/or extract value from workers. Plus a lot more low-skilled people will become unemployable and redundant so class tensions will probably get worse. On the flip side a few smart early movers will make insane bank and shape the way the next few decades will go. Could be interesting to see how different nation states adopt the new technology.

Scenario 2 is the "things get crazy" scenario. What if ML takes off far quicker than people are expecting, for example by recursively improving itself? I believe in that case we might be unable to fit the development into our usual political lens. If one company has twice as much capital than everyone else combined our systems of power distribution fall apart. If one nation has capabilities that make it effectively invincible our models for foreign relations stop working. If that happens it will be more akin to a scenario where superintelligent aliens have landed on earth and all bets are off.

I expect that "recursively improving itself" will lead to the AI going off into the weeds -- that is, evolving in ways unconnected to the real world. The output will quickly become bizarre and not particularly useful. It works for formal systems like Go because the rules are well-defined, but you can't simulate reality to a sufficient degree of precision.

I think the idea behind recursive self-improvement is more like, a 150 IQ AI should be able to find a way to increase its IQ to 151, a 151 IQ AI should be able to increase its IQ to 152, and so on and so forth until it reaches godhood.

It doesn't necessarily have to simulate large portions of reality, if it's able to find a way to isolate the factors responsible for its g factor and come up with a generalized way of making improvements to those factors. Presumably as part of the cycles of improvement it could interact with the real world in order to get more training and data. But this sort of scenario has its own issues.

Especially if it can spin up various copies of itself and make minute changes to see how that effects performance. Basically massive, parallel experimentation.

What if ML takes off far quicker than people are expecting, for example by recursively improving itself? I believe in that case we might be unable to fit the development into our usual political lens. If one company has twice as much capital than everyone else combined our systems of power distribution fall apart. If one nation has capabilities that make it effectively invincible our models for foreign relations stop working.

I'm a little disconcerted at how many people who are working in the industry seem to hold this as the explicit goal and are intentionally maneuvering things so as to prevent anyone from intervening until it's too late.