Testing Fable 5 and GPT‑5.6 Sol on an NP‑Hard Problem: Does the /goal Parameter Help?

A technical blog post pits Fable 5 against GPT‑5.6 Sol on a classic NP‑hard challenge. The author outlines the problem setup and evaluation criteria used in the test. Both systems attempt to find optimal solutions within limited computational time. The experiment introduces a /goal parameter intended to guide solution quality. Results show how each model’s output changes when the /goal is applied. Fable 5 demonstrates a distinct approach compared to the GPT‑based system. The analysis discusses strengths and weaknesses revealed by the trial. Conclusions consider whether the /goal feature meaningfully improves performance. The post invites further experimentation on similar hard problems.