GPT-5.6 Sol Reasoning Details: Lack of Memory Forces Re-learning Every Step
charliermarsh · x · 2026-07-30
Developer charliermarsh provided further context on the reasoning mechanism of GPT-5.6 Sol during the ARC-AGI-3 test. He pointed out that without the ability to retain reasoning across turns, the model is asked to figure out the game anew with each action.
In this scenario, the model can still see a record of past moves and brief accompanying notes, but it cannot access the underlying plans, insights, or thoughts that led to those actions, significantly hindering its multi-step reasoning performance.
Related event: Optimized Memory Settings Triple GPT-5.6's Score on ARC-AGI-3(27 posts)→
More from Models
- Opus 5.5 still leads a month later, but open-weight decision models are closing in — airesearch12 · 2026-10-16
- Google restricts Gemini Pro access for Google Plus subscribers, matching free tier — EmergencyLess8861 · 2026-10-16
- Meta releases Muse Spark Open, trained with vLLM-powered RL inference from day one — colinmcnamara · 2026-10-16
- Meta open-sources Muse Spark: runs on two Mac Studios, license bans passing output off as human-written — mawcopolow · 2026-10-16
- Golden Gate Claude explainer resurfaces: interpretability premise still holds — HarperSCarroll · 2026-10-16
- Hugging Face livestreams release of a new open-weight model — huggingface · 2026-10-16