# Predictive gains, causal losses: why interventional competence cannot be learned from data alone

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**Published:** 4 ноября 2026 г.
**Author:** Marcus Thomas
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/predictive-gains-causal-losses-why-interventional-competence-cannot-be-l

arXiv:2611.03861v1 Announce Type: new Abstract: Retaining predictive gains can require persistent errors in a model's response to interventions. For deterministic predictors with finite second moments under squared-error loss, any observational advantage over the best predictor…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2611.03861)

**Теги:** #arXiv

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