Hello HN community! I’m one of the founders of Magma, a multiplayer art platform. You might recall our earlier post (https://news.ycombinator.com/item?id=30869131), and today we’re sharing a significant update with our artist-focused, multiplayer AI assistant, a first in the realm of collaborative creative tools. Hope you’ll like it!

See how it works in this YouTube video: https://www.youtube.com/watch?v=ZESJfjwxLjk. For in-depth understanding, here’s our documentation (https://help.magma.com/en/articles/6711598-beta-ai-assistant) and our AI manifesto (https://magma.com/aimanifesto) which is a guiding document for us.

We're inviting you to get hands-on with this new feature. Join any of these canvases (up to 50 live contributors each): https://magm.ai/qnss, https://magm.ai/ei74, https://magm.ai/38mr, https://magm.ai/z1ti, https://magm.ai/zdub, https://magm.ai/ed93, https://magm.ai/1l84, https://magm.ai/xvu5, https://magm.ai/gd9j, https://magm.ai/pu6e. All of these canvases have extra feature flags enabled but if you’d like to go beyond them, feel free to join our beta community https://magm.ai/magma-beta-artspace-invite

Our artist-first approach is rooted in our belief that human creativity should remain the heart of artistry. With our AI handling routine tasks, artists can focus on true creativity. Importantly, our AI preserves artists' copyright as it provides a clear distinction between human-generated and AI-generated content.

Beyond just art, Magma is a powerful tool for game dev and animation, offering powerful design & review tools for all stages of the creative process. Our Slack/GDrive-like workspaces (we call them Artspaces) expose API and even shell tools. One can even render any artwork in the terminal. :)

Technically speaking, our collaborative drawing engine is powered by Typescript, Node.JS, WebGL, with a hint of WebAssembly for hand-optimized performance that even Chromebooks can handle. The backend also leverages a high performance Typescript Deepkit Framework https://deepkit.io

Our AI assistant runs on a worker-based architecture akin to Gitlab CI workers, currently leveraging Stable Diffusion 2.1. Future developments will allow connecting your own AI worker, training custom models within Magma, and plugging in API keys from other AI backends.

Feedback, questions, thoughts? Let's discuss! Happy creating with a helping hand of AI!

P.S. A shout-out to the HN community, our last post here helped us connect with an amazing technical angel investor who has made significant contributions. Looking forward to more such productive connections!