So, a deployment of your agent uh in the real world generates data. That data then grounds the simulator and makes it more realistic. The simulator generates harder edge cases for the critic to score and for the agent to learn from.
This is a supersonic engine adapted for ground power generation that can ship without the rest of the airplane, thereby generating the test data, the learnings, the reliability, and also the capital that we need to go big.
But great airplanes are incredibly integrated and everything affects everything else. uh the the best airplane design is interplay of propulsion, of aerodynamics, of structures, of all kinds of optimizations, how you fit the systems into it.
Yeah, we we could do all of those things. Um it's just not better. And we simulate it all. they're in our simulator provably worse and so we wouldn't do it.
Which is, you know, you’re the game designer who’s playing God, and players are the ants in your ant farm, and you want to see what they’re gonna do, which is not the correct way to be a good multiplayer designer.
And what makes an MMO, massively multiplayer online game, massive is having the other people there. And they’re so important or else the world feels kind of wrong and dead. But the concept that we have to force you to interact with them to do anything is very off-putting to a lot of people.
Swift’s build infra is good enough for most things these days. codex knows how to run iOS apps and how to deal with the Simulator. No special stuff or MCPs needed.
Luckily, if you want to do what we’re forced to do and also what I want to do, which is make new IP, you need single-player games. You can launch a multiplayer game with new IP. It’s just extremely hard.
shortening the time to seeing and having that incredible moment and seeing, you know, the true value of the product, for example, in Figma design, can we get you to have a collaborative multiplayer moment?
but something to remember is that when a pilot is using a simulator to learn to fly an airplane, they're extremely goal- directed. So, their goal in life is not to learn to use a simulator. Their goal in life is to learn to fly the airplane.
Agentic and sync are natural complements because local-first is multiplayer by default, and agents are another sort of "player" in addition to human collaborators.
I don’t think we’ve replicated human intelligence, unless I know that the simulator is making exactly the same kinds of mistakes that people do, because people make characteristic mistakes. They have characteristic biases, they have characteristic heuristics that we use, and those have yet to see evidence that ChatGPT will do that.
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