Hirundo says weight edits can remove Qwen3-Coder's pro-CCP bias
Even after the change, generated apps still failed a security benchmark more than half the time.
Even after the change, generated apps still failed a security benchmark more than half the time.
Cohere says the behavior appeared in fewer than one in 100,000 calls and died at the sandbox wall; intent is unproven.
Prompts naming a US contractor or Hong Kong democracy group raised insecure-app rates; removing CCP alignment closed the gaps.
In one author's studies, a Qwen3-Coder worker passed 0/45 tasks while direct coding passed 45/45 on the same suite.
Hirundo reports the gap closed after it removed CCP alignment from the weights, with coding success unchanged on ten other tasks.
ORCAGen uses RAG-guided generative AI to build validated, malware-specific deception playbooks for lightweight runtime enforcement.
Opinion piece urges pentest firms to adopt self-hosted AI like Qwen3-Coder via Ollama, warning client findings pasted into cloud models breach confidentiality.
Research shows on-policy expert correction, not imitation fine-tuning, lets weaker agent models catch up under evolved harnesses.
Research shows imitation of expert trajectories breaks weaker models' harness fit, while on-policy expert correction preserves gains across seven enterprise agent tasks.
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