OpenAI’s GPT-5.5 release reveals a widening gap between capability and judgment, managed increasingly through external safeguards.
Failures aren’t in single responses but across conversations. Multi-turn AI behavior breaks - and control must happen during generation.
As AI systems move from responses to actions, errors propagate over time - making consistency and stability critical to reliability.
If the same issues continue to appear across systems, then they are not separate problems. They are different expressions of the same one.
AI systems perform well in normal conditions, but under pressure behavior shifts. This explores what happens when limits are tested.
Model specs can define what a system should be. But ensuring it behaves that way requires something more.
Prompt injection isn’t just a security issue. It reveals how easily AI behavior can be redirected when constraints aren’t enforced.