On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective · DeepSignal
On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective The article distinguishes between capability elicitation and creation in post-training of language models.
Key Points Post-training involves reweighting behaviors or expanding capabilities. Supervised fine-tuning and reinforcement learning are compared. Accessible support defines the practical behavior set of models. Reader Mode is being prepared.
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Low signal — niche or repeat coverage.
Weight Score
Source authority 20% 80
Community heat 20% 0
Technical impact 30% 33
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≥75 high · 50–74 medium · <50 low
Why Featured
Understanding the difference between capability elicitation and creation informs developers and PMs on optimizing language models, while investors can gauge potential for innovation and competitive advantage.