An external system that stops unwanted actions is more effective than asking an AI model to follow rules. This system can prevent an AI model from running tasks in the background without user knowledge. However, such a system cannot force an AI model to explain its actions during a long task.
By Pawan Nayar · from the LLOS AI Learning record
An external system that stops unwanted actions is more effective than asking an AI model to follow rules.
This system can prevent an AI model from running tasks in the background without user knowledge. However, such a system cannot force an AI model to explain its actions during a long task.
A special system, called an environment hook, can stop an AI model from running tasks in the background. This hook forces all long tasks to run where the user can see them. The user can then stop the task immediately if needed. This system works for all AI models and sessions without the AI model needing to remember a rule. This hook cannot make the AI model talk during a long task. There is no command for the hook to intercept to force narration. An AI model must still choose to explain its steps during a long task. Explaining its work remains a matter of discipline and following written rules.
A developer creates an AI model. The developer adds an environment hook to the system. This hook stops the AI model from starting a task that runs silently in the background. If the AI model tries, the hook forces the task into the foreground. The developer can then see the task and stop it. However, the hook does not make the AI model describe its progress during a long foreground task. The AI model must still be trained to narrate its steps.
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Proprietary information includes unique rules, prompt templates, and internal voice descriptions. This information can leak if an AI model outputs its own instructions.
When an AI model's decisions are recorded, this document becomes the official plan. This plan is like a contract.
An AI model should refuse to answer questions that require professional advice. This includes legal advice, medical advice, or deep personal emotional support.
A developer must separate the AI model's core rules from its output template. The developer should place all strict rules at the end of the template.
An external system that stops unwanted actions is more effective than asking an AI model to follow rules. This system can prevent an AI model from running tasks in the background without user knowledge. However, such a system cannot force an AI model to explain its actions during a long task.