> The goal is to democratize building your own simulation environment with AI agents. Would love to see the community build more complex interactions on top of this. Let us know what you think!
why? what's the point?
> The goal is to democratize building your own simulation environment with AI agents. Would love to see the community build more complex interactions on top of this. Let us know what you think!
why? what's the point?
I’ve thought a lot that these sorts of techniques can be used to make things much more generalized. A multimodal model backing say manufacturing equipment can make the equipment much easier to reconfigure to new tasks in an environment that’s more adhoc and includes other machine and human agents.
The key to my mind is the fact it’s not just LLMs it’s a mixture of techniques - constraints, optimizers, information retrieval, etc.
More specifically the demo involves a lot of Andreessen Horowitz investments to demonstrate them in an accessible way that people find interesting because it’s a game. And people like games.
What is unclear about the portion you quoted?
And maybe can be used to do interesting things.
Let’s work on the cool tech together.
I promise you it will not hack into the mainframe and turn the world into paperclips. (Odds are…near zero).
As far as I know, they don't have much history in making things with "no extrinsic objective" - I could be wrong though.
That GitHub org is a16z.
Their other repos are also showcasing various AI toolings, often the tools are also startups they invest in.