174 sats \ 10 replies \ @SimpleStacker 18 Oct 2023 \ on: Optimal Zapping on Stacker News meta
Presumably since the algorithm is open source one can derive the game theoretic optimal strategies for zapping and find all the Nash equilibria
i am actually working on a blog post to make it transparent how it works so you don't even need to look at the code, lol
our algorithm should behave like hash algorithms or ciphers: you know exactly how it works, but you're unable to reverse it.
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so you don't even need to look at the code
Having done that, I must say I'm looking forward to this blog post, thanks. They're usually top notch. (At least the ones I've seen.)
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Having done that, I must say I'm looking forward to this blog post
lol, but I can understand :)
they're usually top notch. (At least the ones I've seen.)
Thanks! I only posted to https://ekzyis.com/blog/ so far, so I think you've seen all if you mean them :)
I wanted to publish a blog post every two weeks but unfortunately, looks more like it's every four weeks. Last one was on 2023-09-25, so maybe this next one about the SN algorithm should be out next week :)
I'm almost done with image uploads, which I intend to finish this week. Then I'll focus on the blog post and then moving priorities to other things like https://delphi.market/ (which is like a testbed how prediction markets could work on SN) and wallet or DM stuff :)
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if you mean them
Yes, those WireGuard ones.
DM stuff
DM's coming to SN?
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DM's coming to SN?
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cool beans!
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Since it depends on where you rank amongst the other users, you'd have to make some assumptions about how they're going to behave (and those assumptions are going to be wrong).
I think it's better to essentially use a numerical solver in this setting, rather than try to find an analytical solution.
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Sounds like a great project for an econ grad student. Derive the Nash equilibria, whether numerically or analytically, grab the behavioral data from stacker.news, and test whether users are behaving according to game theoretic predictions.
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SN is like a fucking gold mine for graduate-level research. We have a new econ guy starting on Monday that I am aiming to entice...
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Well, we know users aren't, since we're all zapping different amounts, but there is a treasure trove of data for an enterprising behavioral or experimental econ PhD student.
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