"Test-Time Training" or "TTT" is an approach to running neural networks that updates their weights while they solve problems. This is more similar to how biological brains work than the commercially available models seen so far, which are in a frozen state and don't change while they process information.

This market resolves YES if sometime during 2025 OpenAI offers public (presumably paid) access to a model, either through its chat service or through its API, which uses runtime parameter adjustments.

For an example of TTT, see the paper "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning".