 | submitted by /u/Ryoiki-Tokuiten [link] [comments] |
Gemma4-31B worked in an iterative-correction loop (with a long-term memory bank) for 2 hours to solve a problem that baseline GPT-5.4-Pro couldn't
Reddit r/LocalLLaMA / 4/8/2026
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Key Points
- The article claims that Gemma4-31B solved a specific problem by running an iterative-correction loop for about two hours, using a long-term memory bank rather than a single-shot attempt.
- It contrasts this approach with a baseline GPT-5.4-Pro, stating that the baseline model could not solve the same task under the compared conditions.
- The post implies that extended multi-step reasoning with external memory can enable success on difficult problems even when shorter or baseline prompting fails.
- It highlights a practical direction for LLM systems design: pairing iterative refinement with persistent memory to improve outcome reliability.
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