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An open-source experiment applying Jevons-style (JEV) logic to make LLM thinking adaptive: the model measures per-word entropy and triggers additional parallel thinking blocks only when uncertainty is high, selecting the best branch via tree search. Aimed especially at users running local models who can leverage parallel decoding streams.
autotrust released GEV-26B-Decide, a 26B-parameter (~4B active per token) decision model with adaptive thinking built on Gemma-4-26B-A4B-it, scoring 62.48 on the Decision Index. It also demos sub-100ms System 1 decisions for computer use (95% task success in headless Chromium) and MuJoCo robot-arm pick-and-place.
The article proposes AdaThinking-E, a reinforcement learning framework that uses one-token entropy regulation to enable adaptive thinking in multimodal large language models, improving accuracy on complex tasks and efficiency on simple ones.
A practical guide explaining how Claude Opus 4.7 differs from 4.6, covering the new xhigh effort level, adaptive thinking replacing fixed token budgets, and a 1M context window, with recommendations on how to adjust prompting and delegation strategies to avoid inflated token costs.