New paper relevant to this discussion: https://arxiv.org/abs/1911.08265
Constructing agents with planning capabilities has long been one of the main challenges in the pursuit of artificial intelligence. Tree-based planning methods have enjoyed huge success in challenging domains, such as chess and Go, where a perfect simulator is available. However, in real-world problems the dynamics governing the environment are often complex and unknown. In this work we present the MuZero algorithm which, by combining a tree-based search with a learned model, achieves su... (read more)
I think this article / concept is incredibly useful, and singlehandedly justifies the existence of LW2. Thank you!
I want to go reread you and your research and see how the free energy concept could apply there -- if anyone else does, I'd love to hear thoughts.
This reminded me: it's important to engage critically with ideas that I learned before I knew how to engage critically with ideas. I'm not at all confident that I would have balked at the teacher's explanation of lift even now, and that's a little alarming!
This reminded me: it's important to engage critically with ideas that I learned before I knew how to engage critically with ideas. I'm not at all confident that I would have balked at the teacher's explanation of lift even now, and that's a little alarming!
I think I see a difference in the intuitions surrounding the Newcomb's and Solomon's. This could explain why one-boxing and gum-chewing are compatible, and points to a strengthened version of Solomon's that I think is a better parallel of Newcomb's. I'll try to explain it, but it's too bad this is happening over the internet and not in front of a whiteboard.
tl;dr: Newcomb's predictor is inescapable, but CGTA's influence is escapable. Therefore you should one-box and chew gum. This is not an attempt at a new decision theory, just an argument that jogged my ... (read more)
Ah, maybe you can help me out. Why should I chew gum, but not two-box?
I liked the Newcomb's soda problem in particular.
Yeah, Newcomb's Soda and Solomon's Problem are really interesting! If I faced the problems right now, I would one-box, skip the gum, and eat chocolate ice cream, because those choices put me in the groups that win, so I guess that classifies me as an evidentialist. At the same time, I haven't reasoned out these conclusions thoroughly-- I can't argue formally against causal reasoning or dominance, or formally for evidentialism.
Looks like I have some more reading to do before I get this resolved.
Edit: All r... (read more)
Thanks, Larks-- how did you find out this was available? Is there a blog post or something somewhere? I didn't see it on SIAI's blog.
No, no website-- it's just me right now, and work started about a week ago, so it'll be a while yet. Calling it a "startup" is just a way to reassure my parents that I'm doing something with my time :)
The basic premises behind my approach to game-creation software are:
How did you arrive at your decision?
The actual story: I was talking to a friend about the fact that meat eating, as a practice, inevitably causes animal suffering, and I realized that the benefit to humanity can't possibly outweigh the suffering caused, so I decided to stop participating in the practice.
I didn't do either of the two things you asked (act on emotion or on expected-utility calculation from my direct action), instead I tried to defend animal consumption as a general practice, failed, and concluded that I should stop.
Vegetarianism (if you s... (read more)
Any animal part.
To prevent animals from suffering or dying. Vegetarianism seems inevitable to me as I work to bring my behavior in line with my values.
Very strictly; I won't eat it as a guest, if hungry, or by not checking questionable dishes.
Yes.
Very rarely, and with limited success. I do encourage my friends to think about it if they're receptive, and I'll certainly talk about it if they want to, but I ultimately think that outside help can only go so far, and people need to reach conclusions on their own if they're going to stick.
I'm not as s
I must've missed it in my search. I'll post over there, thanks.
Hi Less Wrong,
I'm a computer scientist currently living in Seattle. I used to work for Google, but I've since left to work on a game-creation-software startup. I came to Less Wrong to see Eliezer's posts about Friendly AI and stayed because a lot of interesting philosophical discussion happens here. It's refreshing to see people engaging earnestly with important issues, and the community is supportive rather than combative; nice work!
I'm interested in thinking clearly about my values and helping other people think about theirs. I was surprised to see that ... (read more)
Hi!
Hi.
Thanks!