Qwen 3 5 - GoKawiil

Developer embeds RISC-V CPU into Qwen 3.5 4B LLM's weights, runs DOOM on it

AI engineer Divyansh Agrawal built 'Qwenputer,' a modified version of Qwen 3.5 4B that has a 32-bit RISC-V CPU compiled directly into 11 additional transformer layers placed ahead of the model's own weights. The CPU uses the model's Gated DeltaNet state as RAM and can execute C and MicroPython code and arithmetic operations without calling any external tools, and has been shown running the game Doom, albeit slowly.

tomshardware.com · 2026-11-02

Startup Mostik lets AI models share intelligence directly via weight values, not text

Russian startup Mostik has developed a method allowing AI models to exchange information through their internal weight values rather than generated text, effectively letting a smaller model absorb capabilities from a larger one. The team demonstrated this by linking a 753-billion-parameter GLM-5.2 model with a 4-billion-parameter Qwen-3.5 model, producing a hybrid system that runs at one-twentieth the cost of the full-size model while performing roughly midway between the two in capability. Mostik also used a related technique to build a model that has topped the ARC-AGI 3 benchmark, though details remain undisclosed while the contest is ongoing.

wired.com · 2026-09-02