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Lobsters: Newest Comments

Lobsters: Newest Comments

It's actually really interesting from CS standpoint. Could agents with no prior communication channels, or even running at different times arrive at consensus over where to meet online? Given that these things are notoriously non-deterministic, hard to get to produce reliable, reproducible results between runs when we want them to, it's quite intriguing.
I don't know if this is what they actually did, just wondering what computational problem is there to solve in a case like this.
If you have a way to enumerate possible boards to communicate over, then just pick the first one — easy. If you don't have such list and have to scan all of internet, you need come up with an algorithm to enumerate websites that are likely to have public boards like this. Given that these are huge plagiarism machines, maybe they borrow ideas on how to traverse internet similarly and tend to hit the same place.
But if they want to do it discretely, this gets very interesting. Could they come up with a deterministic random seed that's stable between model runs? This could again be the case of plagiarism machines arriving at similar enough algorithms of deciding what board is discrete enough while traversing the internet with algorithms that are similar enough.
Still, really weird.
https://lobste.rs/c/6oejoj

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