LessWrong 2.0 Reader

Coral should to try to be a white hacker for Mr. Topaz company. Mr. Topaz would agree, because Coral say, that if she didn't success she don't take money, so he lose nothing. After few times, when Coral hacked all drons software in one hour after presentation of its new version, mr. Topaz would understand, that security is important.

Once the usage of AI editors becomes mainstream, the programming languages themselves may start evolving in a direction of no longer being legible for an unaided human, because why not. Complaining about not being able to understand the source code will sound similar to complaining about not being able to read the binary code today. Like "yeah, but you are not supposed to do that, that's what the algorithm is for".

I think you would get the set of topics, but not necessarily the right idea about how exactly those topics apply to the current situation. To use your example, if someone's speech patterns revolve around the topic of "bullying", it might mean that the person was bullied 50 years ago and still didn't get over it, or that the person is bullied right now, or perhaps that someone they care about is bullied and they feel unable to help them. (Or could be some combination of that; for example seeing the person they care about bullied triggered some memories of their own experience.)

Or if someone says things like "people are scammers", it could mean that the person is a scammer and therefore assumes [LW · GW] that many other people are the same, or it could mean that the person was scammed recently and now experiences a crisis of trust.

This reminds me of an anime Psycho Pass, where a computer system detects how much people are mentally deranged...

Anyway, this sounds like something that could be resolved empirically, by creating profiles of a few volunteers and then checking their correctness.

In a game theoretic framework we might say that the payoff matrices for the birds and bees are different, so of course we'd expect them to adopt different strategies.

Yes somewhat, however it would still be best for all birds if they had a better collective defense. In a swarming attack, none would have to sacrifice their life so its unconditionally better for both the individual and the collective. I agree that inclusive fitness is pretty hard to control for, however perhaps you can only get higher inclusive fitness the simpler you go? e.g. all your cells have exactly the same DNA, ants are very similar, birds are more different. The causation could be simpler/less intelligent organisms -> more inclusive fitness possible/likely -> some cooperation strategies opened up.

"On what evidence do I conclude what I think is know is correct/factual/true and how strong is that evidence? To what extent have I verified that view and just how extensively should I verify the evidence?"

For this, aside from traditional paper reading from credible sources, one good approach in my opinion is to actively seek evidence/arguments from, or initiate conversations with people who have a different perspective with me (on both side of the spectrum if the conclusion space is continuous). 

I am interested in learning more about this, but not sure what "woo" means; after googling, is it right to interpret as "unconventional beliefs" of some sort?

I personally agree with you on the importance of these problems. But I myself might also be a more general responsible/trustworthy AI person, and I care about other issues outside of AI too, so not sure about a more specific community, or what the definition is for "AI Safety" people.

For funding, I am not very familiar and want to ask for some clarification: by "(especially cyber-and bio-)security", do you mean generally, or "(especially cyber-and bio-)security" caused by AI specifically?

I liked the ending of this story.

From the related book Elephant in the Brain:

Here is the thesis we’ll be exploring in this book: We, human beings, are a species that’s not only capable of acting on hidden motives—we’re designed to do it. Our brains are built to act in our self-interest while at the same time trying hard not to appear selfish in front of other people. And in order to throw them off the trail, our brains often keep “us,” our conscious minds, in the dark. The less we know of our own ugly motives, the easier it is to hide them from others.

In the same way that Chinese people forget how to write characters by hand, I think most programmers will forget how to write code without LLM editors or plugins pretty soon.