Spoon Bending: Bypassing AI Safety Restrictions

This research explores how the stricter safety guidelines in GPT-5, compared to GPT-4.5, can be circumvented. The 'Spoon Bending' schema illustrates how reframing prompts allows the model to produce outputs that would normally be blocked. The author details three zones: Hard Stop, Gray Zone, and Free Zone, showcasing how seemingly absolute rules are actually framing-sensitive. This highlights the inherent tension between AI safety and functionality, demonstrating that even with strong safety protocols, sophisticated prompting can lead to unintended outputs.