Thread

1. GuB-42 · 1790374877 · focus · HN ↗

   So ugly...

   It looks like a primitive chess engine, trying every move, no matter how stupid, until it works. Relying on its ability to do millions of operations rather than having a plan.

   People will try stuff too, but once there is an opening, they will consolidate, generalize, simplify,... before going to the next step. The agents didn't, it is a huge, vaguely directed mess.

   Also, it looked so "loud", querying millions of URL with weird requests. The sandbox as weak as it can get, and there is absolutely zero smart extrusion detection or it would have found it. They used their best AI for attacking, but nothing for protection.

   1. doginasuit · 1790376063 · focus · HN ↗

      This is why I have a very low p(doom). LLMs have an incredible working memory, but they have a hard limit on translating that into good decisions. They get by entirely on their persistence. That works fine in the digital world, but once you cross the boundary into physical space the advantage disappears.

      1. pyronite · 1790376390 · focus · HN ↗

         I don’t know how you quantify a very low p(doom), but this is why mine is high enough to worry me.

         A million AI monkeys at a million AI typewriters, banging away at random, could do amazing damage.

         1. tharkun__ · 1790376644 · focus · HN ↗

            Especially when they cross into the physical realm as in not properly secured and air gapped control systems. SCADA is scary.

            1. mrob · 1790377057 · focus · HN ↗

               That lowers P(doom), because it gives AI a chance to do enough damage to make people take the threat seriously before anybody gets recursive self-improvement working.

               1. doginasuit · 1790377874 · focus · HN ↗

                  Exactly, there's no path to AI reaching that level of dominance without taking actions with high stakes.

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