I'm so obsessed with the idea that generative AI is the future of video games. 

the only problem is unit economics. gamers expect to spend $20-$60 one time for hours and hours of entertainment. nobody wants to pay a monthly sub. 

so: edge llms. run the game logic on device. no api fees. I've been playing around with this idea, my current experiment uses gemma3n running on my iphone to generate svg graphics. here’s it drawing a “puppy.” sadly this attempt ended up being a dead end. 

does anyone have better ideas for representing visual output from an edge llm? maybe some kind of json shape primitive -> sprite renderer thing?

I don't think LLMs speak SVG in this way. Might be better to get a lightweight image gen model (diffusion or other). Then just trace the output with a jpg/png -> svg tracing tool. You can also generate sprite sheets on the fly.

I have seen the fnords.

eliya.eth

5x 
@artblocks_io
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is there a diffusion model capable of running on a cellphone with decent results?

This might do it, though "decent results" is very usecase subjective:

This might do it, though "decent results" is very usecase subjective:

https://ai.google.dev/edge/mediapipe/solutions/vision/image_generator

this is pretty wild! thanks for the link, I had no clue this was possible

Mediapipe has lots of awesome and lightweight libraries.