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.
More from Models
- Are Mid-Tier LLMs Losing Value? Developer Argues Models Are Polarizing — mertdumenci · 2026-07-30
- DeepSeek Delays V4 to Co-optimize Model and Engineering Harness — teortaxesTex · 2026-07-30
- ThursdAI Live Preview: Exploring the 1.56TB Kimi K3 Checkpoint — altryne · 2026-07-30
- Kimi K3 Recursively Self-Improves Cline, Boosting Terminal Bench Score to 88.8% — teortaxesTex · 2026-07-30
- Dev Calls Out Viral AI Demos: Exaggerated Claude Opus Capabilities Mislead Engineers — wavefnx · 2026-07-30
- Together Offers Lowest Price and Highest Cache Hit Rate for Kimi K3 on OpenRouter — zhyncs42 · 2026-07-30