atzy
770 posts
@atzydev
adventure log of a water mage • prev: agents, LLM training ops
Sub-agents in (latent) space! We’ve been working on a side project. As far as I know, this is the first massively multiplayer, completely LLM-driven game. Come play Gradient Bang with us. See if you can catch me on the leaderboard. This whole thing started because I wanted to explore a bunch of things I’m currently obsessed with, in an application of non-trivial size, that felt both new and old at the same time. So … a retro-style space trading game built entirely around interacting with and managing multiple LLMs. Factorio, but instead of clicking, you cajole your ship AI into tasking other AIs to do things for you. Some of the things we’ve been thinking about as we hack on Gradient Bang: - Sub-agent orchestration - Partial context sharing between multiple LLM inference loops - Managing very long contexts, and episodic memory across user sessions - World events and large volumes of structured data input as part of human/agent conversations - Dynamic user interfaces, driven/created on the fly by LLMs - And, of course, voice as primary input If you’ve been building coding harnesses, or writing Open Claw agents, or doing pretty much anything that pushes the boundaries of AI-native development these days, you’re probably thinking about these things too! This is all built with @pipecat_ai, the back end is @supabase, the React front end is deployed to @vercel, and all the code is open source.
@atzydev you’re welcome✨
another $100 to openai
🚇🇸🇬 we made a SG MRT station guessing game - 3 tries to match the names to 5 stations on the MRT map - hints provided for line + direction - speedrun mode so you can brag to friends - island-wide tour if you're good enough try it here: 👉 mrt.eiti.dev 🚇
🚇🇸🇬 we made a SG MRT station guessing game - 3 tries to match the names to 5 stations on the MRT map - hints provided for line + direction - speedrun mode so you can brag to friends - island-wide tour if you're good enough try it here: 👉 mrt.eiti.dev 🚇
