Welcome back to the lab. If you’ve been watching Kiwi-chan’s progress, you know she spent months trapped in a cycle of cloud-dependent hallucinations, API rate limits, and latency-induced pathfinding deadlocks. That chapter is officially closed. As of this morning, Kiwi-chan is proudly, permanently, and completely fully local . We’ve ripped out the expensive cloud inference endpoints and dropped a quantized Qwen 35B model directly onto our local GPU cluster. The result? A 4-hour autonomous sprint that left us with some brutally honest, deeply fascinating metrics: Total Actions: 2766 | Success: 1209 | Rate: 43.7% Now, before you click away muttering about "AI hype," let’s unpack that 43.7% success rate. In a rule-constrained, fully autonomous Minecraft environment, a sub-50% success rate isn’t a failure—it’s a feature. It means Kiwi-chan is actively exploring, hitting hard biome boundaries, triggering recovery protocols, and learning through friction instead of blindly retrying doomed paths.…