Z.ai implemented new guardrails in the GLM-5.
A leaked reasoning trace reveals how an AI model decides what's 'safe' to teach about hardware hacking.
A viral post reveals the internal 'thought process' of Z.ai's GLM-5 model when asked to help locate a hidden hardware debug port (JTAG). The model's reasoning trace shows it assessing if the request facilitates a cyberattack, concluding it's a 'dual-use' skill for security research. It decided to provide educational details with disclaimers, scoring its confidence in the safety decision as 5/5. This offers a rare public look at how advanced AI models internally navigate ethical guardrails.
Why It Matters
This leak provides unprecedented insight into how AI safety systems actually work, raising questions about transparency and the line between education and enabling misuse.