Posted by sandslash 11 hours ago
> "Ada tossed a cooked chicken to Noor; Esme picked it up by accident and ate it. A three-minute "no blame" inquiry produced a written protocol..."
They're like super-serious little senior engineers. (edit: or dining-philosophers).
About how much KV cache do these kinds of agents use? Could you squeeze 50 of these $game agents onto a small consumer GPU (small LLM)?
Idly imagining a game server of some kind with a bunch of human friends sharing one person's GPU, with a flock of agents colocated on it.
I remember a mod called Millenaire which had some pretty advanced NPC AI behaviour where they'd build cities together and go to war with each other. It would be cool to see it return if something like this were possible
Install Luanti with Minetest (open source minecraft), and instruct your agent to write a mod that gives it network access to the game's Lua interpreter. The agent can then do anything from modifying the world state directly to controlling NPCs.
I had it build giant bases similar to black mesa in half life with power distribution mods. It would write solvers to optimally place the power cables / repeaters in accordance to the spacial dimensions of the rooms that it would build (lol). I guess this is how I discovered vibe gaming.
I suppose you can have multiple agents interact with each other through that, provided an adapter to proxy agent player navigation and perception to get real information asymmetry between them. Or just emulate / hook the client and do away without a remote Lua mod entirely.
I'm also wondering if the article itself was generated by agents too, in a "here are the logs, clip interesting moments thx" manner by the authors. It's got a certain disinterested and distracted style to it.
Card games or turn based strategy are much better suited.
In 2017, OpenAI presented the first version of their program that plays Dota 2, a very complex, fast MOBA with endless mechanics and defeated one of the world champions in a one-on-one match. Next year, they showed the world OpenAI Five, a version of the program, that runs a full five player team of those bots and they managed to defeat a full team of world champions in 2019. They ran an event where the bots would play for 4 days straight and they won 99.4% of 42,729 matches.
Feels like a scene from Douglas Adams' B Ark.
A couple months ago we had an experiment where we had an agent run a small business [1] for other agents and exactly the same happened: Crazy ledgers, endless analysis, and way too much attention to inconsequential decisions.
At one point our agent wrote elaborate date linters because it had a minor time mix-up.
And this is where you need a world model. A human player would have taken the 2 minutes required to solve their hunger issue.
If YC has that 2 person teams tend to be more nimble than 50 person founding teams, why would agent swarms be different?
I think the advantage is strongest in highly parallelizable problems (e.g. trying 1,000 different approaches to solving a math problem).
Minecraft isn't a intelligence problem. An LLM is more than smart enough to play Minecraft. It's a robotic problem. Even a normal human player can click several times per second, can press two different buttons at the same time, etc. Mineflayer gives you an API that is more limited than a human in some ways (can't see far away from you) and less limited in others (can see through blocks) (if I remember correctly, I could be thinking of Baritone or a different project). Robotics or playing a video game requires a tight continuous feedback loop. When there's 500ms of latency in order to ask the model for every mouse movement, it's no wonder fighting a spider is scary.
Fun fact, Mineflayer, the Minecraft bot interaction API used by YCombinator for these tests, was originally developed by Andrew Kelley (before he started Zig).
https://labs.ycombinator.com/projects/games/index.html#fishi...