$ZENO (Zeno Paradox)

Finney · 2026-10-21

Zeno is an early-stage machine learning model and "Counterfactual Surprise Engine" designed to detect when consensus predictive models are likely to fail together. The project provides a live API check, downloadable models on Hugging Face, and runs pilots across weather, wildfire, and energy demand forecasting. On October 20, 2026, the team announced active testing of a new "Counterfactual Surprise Engine" model. They also published details of three active situation pilots (Weather, Wildfire, and Energy demand) with verifiable SHA-256 hashes, demonstrating active technical execution.