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CONCEPT

Temperature Parameter

The engineering control in language models that governs deviation from the most probable continuation — read through Peirce's tychism as a structural analogue of the stochastic variation essential to creative thought.
The temperature parameter sets the degree of randomness the model allows in token selection. Low temperature: the model takes the safest, most predictable path, selecting the statistically most probable next token. High temperature: the model reaches for less probable words, less obvious constructions, less expected turns. Engineers call this "creativity," with the same skeptical quotes, though what it actually means is that the model is less anchored to what it already knows. The Peirce volume reads the parameter through his cosmological doctrine of tychism: the stochastic variation the temperature introduces is a structural analogue of the chance-element Peirce identified as essential to creative thought. Variation, however, is not sufficient for creativity — selection is also required, and selection remains a human contribution.
Temperature Parameter
Temperature Parameter

In The You On AI Field Guide

At low temperature, the model's output is maximally determined by its training data. The output is the safest extrapolation of observed patterns. At high temperature, the model introduces randomness that produces outputs

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