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Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?
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Overview
Fable 5 outperformed GPT-5.6 Sol on an NP-hard optimization problem. The use of the /goal mode did not significantly enhance performance for either model.
Summary from charlesazam.com.
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Hacker News · charlesazam.com
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Based on 5 sampled comments from this thread. Analyzed 2026-07-18.
- Praise: Using /goal has transformed my workflow; it’s like having a mission statement that keeps the model focused and on track.
- Praise: Claude's /goal feature feels like giving the model a clear directive, making it operate more effectively during tasks.
- Praise: The ability to run parallel investigations in ultra mode is a game-changer for avoiding local optima in complex problems.
- Praise: The /goal command is my go-to for ensuring clarity and precision in technical documents — it eliminates vague language.
- Concern: Claude tends to forget crucial information during long sessions, making /goal feel less effective for extended tasks.
- Concern: Compaction in Codex feels like a black box; quality drops off unpredictably, leading to frustrating experiences.
- Concern: Using /goal with time constraints seems risky; it might prioritize speed over achieving specific outcomes.
- Concern: Ultra mode might be misleading; it’s not a silver bullet and can actually lead to worse results on certain tasks.