It's amazing how far open source LLMs have come.
Qwen3-32b recreated the Windows95 Starfield screensaver as a web app with the bonus feature to enable "warp drive" on click. This was generated with reasoning disabled (/no_think) using a 4-bit quant running locally on a 4090.
Here's the result: https://codepen.io/mekelef486/pen/xbbWGpX
Model: Qwen3-32B-Q4_K_M.gguf (Unsloth quant)
Llama.cpp Server Docker Config:
docker run \
-p 8080:8080 \
-v /path/to/models:/models \
--name llama-cpp-qwen3-32b \
--gpus all \
ghcr.io/ggerganov/llama.cpp:server-cuda \
-m /models/qwen3-32b-q4_k_m.gguf \
--host 0.0.0.0 --port 8080 \
--n-gpu-layers 65 \
--ctx-size 13000 \
--temp 0.7 \
--top-p 0.8 \
--top-k 20 \
--min-p 0
System Prompt:
You are a helpful expert and aid. Communicate clearly and succinctly. Avoid emojis.
User Prompt:
Create a simple web app that uses javascript to visualize a simple starfield, where the user is racing forward through the stars from a first person point of view like in the old Microsoft screensaver. Stars must be uniformly distributed. Clicking inside the window enables "warp speed" mode, where the visualization speeds up and star trails are added. The app must be fully contained in a single HTML file. /no_think
Fair point. My original prompt asked for more, but the model wasn't capable enough. Not sure if the "warp drive" part would be part of any standard algo.
Any ideas on challenges that are new and more fun than the "balls rolling in a hexa-,hepta-,octagon" or "simulate a solar system" prompts everyone's using these days?