Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?
In a blog post, Charles AZAM evaluated Fable 5 and GPT-5.6 Sol on an NP-hard problem to determine if the /goal directive enhances performance. The experiment involved presenting both models with a complex reasoning task and comparing their solutions. The article details the models' outputs, highlighting differences in reasoning strategies and correctness. Fable 5 and GPT-5.6 Sol are compared directly, with the /goal directive applied to assess its impact on problem-solving. The results indicate that while both models can tackle the NP-hard problem, their approaches and success rates vary. The post does not provide quantitative metrics but offers qualitative analysis of the models' responses.
The comparison reveals how goal-setting affects AI reasoning on hard problems, guiding developers in prompt design.