Proba predicts how fine-tuning data will change open-weight models before training

markjeffrey · x · 2026-07-24

Proba is an interpretability platform for open-weight models that tries to predict how fine-tuning data will change a model before training starts.

The system is fed by a network that continuously generates raw instruments for behavior prediction.
The pitch is that users can anticipate model shifts from data choices instead of discovering them only after training.
The post frames Proba as a first product in a broader interpretability stack for open-weight models.

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