# Interpretability Pipelines Get Automated

Models are increasingly used to analyze other models' internals, converting interpretability from a labor-limited craft into a compute-limited pipeline and concentrating auditing capability with whoever holds the weights.

- Conviction: 40 / 100 (forming)
- Horizon: Emerging (watchlist)
- Tracking since: 2026-08-05T00:00:00.000Z
- Last updated: 2026-08-05T05:48:38.930Z
- Canonical: https://polylog.news/ai/trends/interpretability-automation
- Publisher: Polylog