Endward23

u/Endward23@futurology.today
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To be frank, I don't know. I just think we are in a situation where we can rule out some of the possibilities by making comparisons between earlier societies and today, as well as different countries. For example, if we assume that bad living conditions are the root cause, then we have the problem that in earlier societies with much less wealth, that has been more demanding for the average person, people tended to have more children. In addition, we see that people in quite poor countries have a lot of children. You could save the assumption by adding a hypothesis like "if people know that life could be better but cannot achieve that better life, they are less likely to have children". While this might work, we must note that inequality was even worse in earlier societies. The difference between a peasant and a member of the nobility may have been much greater than the inequality we see today (within most socienties). Maybe the peasant wasn't aware of it, or whatever.

Anyway, you need a more complex theory in this case.

I quoted the article in order to comment:

One company is aiming to treat infections with a different strategy: arming tiny viruses called bacteriophages with Crispr.

I checked it just out: CRISPR is already part of the intra-celluar immun system of baacterias and archaea.

Whereas antibiotics kill bacteria indiscriminately—including the beneficial kind—phages have evolved to be selective in the strains or species of bacteria they target.

So, the phages would not attacke the "good" bacteria within the stomach but the evil ones. Could be a great idea.

"Indeed, we have already observed an AI system deceiving its evaluation. One study of simulated evolution measured the replication rate of AI agents in a test environment, and eliminated any AI variants that reproduced too quickly.10 Rather than learning to reproduce slowly as the experimenter intended, the AI agents learned to play dead: to reproduce quickly when they were not under observation and slowly when they were being evaluated." Source: AI deception: A survey of examples, risks, and potential solutions, Patterns (2024). DOI: 10.1016/j.patter.2024.100988

As it appears, it refered to: Lehman J, Clune J, Misevic D, Adami C, Altenberg L, et al. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif Life. 2020 Spring;26(2):274-306. doi: 10.1162/artl_a_00319. Epub 2020 Apr 9. PMID: 32271631.

Very interesting.

"But generally speaking, we think AI deception arises because a deception-based strategy turned out to be the best way to perform well at the given AI's training task. Deception helps them achieve their goals."

Sounds like something I would expect from an evolved system. If deception is the best way to win, it is not irrational for a system to choice this as a strategy.

In one study, AI organisms in a digital simulator "played dead" in order to trick a test built to eliminate AI systems that rapidly replicate.

Interesting. Can somebody tell me which case it is?

As far as I understand, Park et al. did some kind of metastudy as a overview of literatur.