I put GPT-5.5 through a 10-round test: It scored 93/100, losing points only for exuberance

Editor's take

OpenAI's GPT-5.5 demonstrates strong performance, achieving a 93/100 score in a recent evaluation, though it occasionally deviates from explicit instructions. This indicates a continued challenge in aligning advanced language models with precise user directives, a hurdle present since early iterations like GPT-3 and even more recent ones like GPT-4. The model's tendency towards "exuberance" suggests a trade-off between generating rich, creative output and adhering strictly to constraints, impacting its reliability for tasks demanding absolute fidelity.

The implications extend to various applications, from automated content generation and coding assistance to customer service bots, where predictability is paramount. Companies relying on LLMs for critical functions will need to carefully consider the robustness of GPT-5.5's adherence to negative constraints. This tension between generative power and controllability is a key area of research, with implications for the practical deployment of AI in sensitive domains.

Future developments will likely focus on refining instruction following capabilities. It will be important to observe whether subsequent model updates, potentially GPT-6, show improved performance in this specific area, or if developers must rely on more sophisticated prompt engineering and fine-tuning techniques to mitigate these deviations. A significant improvement in zero-shot instruction following for complex, multi-step tasks would mark a notable advancement.