SIQ-1 Qwen3.6 for autoresearch and autonomous agency

The SIQ-1 model, based on Qwen-35B-A3, has been trained using Proximal Policy Optimization (PPO) and shows significant performance improvements in autoresearch tasks, outperforming models like GLM-5.2 and Qwen-350B on the karpathy/autoresearch benchmark. It also surpasses NEX and GPT-5.5 on the bullshit-bench, indicating its potential for generating high-quality outputs in autonomous agency applications. This release, available on Hugging Face, provides practitioners with a robust tool for enhancing AI-driven research and development.