Fable Breaks Task Wall with Synthetic Reasoning Traces; GLM 5.3 Follows
mariofilhoml · x · 2026-08-23
User Mario cited ProximalHQ's findings on the Fable model's performance in the FrogsGame task, noting that GLM 5.3 and Grok 4.6 seem to have adopted a similar approach.
- Fable's Breakthrough: Using synthetic reasoning traces, Fable improved Qwen3-8B's solve rate on the FrogsGame post-training task from 3.8% to 67.8%, far surpassing Opus 4.8.
- Core Method: The solution relied on writing a backtracking solver and verbalizing the solver's actions into reasoning traces for training.
- Industry Trend: The user observes that GLM 5.3 and Grok 4.6 appear to have figured out the same technique to break through performance walls on this task.
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