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From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation

arXiv cs.LG ↗ · 2026-08-12 Cached

This paper presents a decision-centric causal optimization framework for large-scale targeting and recommendation, combining a causal Transformer, Bayesian bandit layer, and dual-based linear programming. It reports a statistically significant +7.20% lift in LinkedIn Feed marketing traffic via online A/B testing.

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#targeting

The Pentagon's AI chief swore in a court filing that xAI's Grok helped fire 2,000 munitions at 2,000 targets in 96 hours

Reddit r/artificial ↗ · 2026-06-19

The Pentagon's chief digital and AI officer confirmed in a court filing that xAI's Grok Gov was used in US targeting systems during operations against Iran, helping deploy over 2,000 munitions against 2,000 targets in 96 hours. The disclosure emerged as a side effect of a Clean Air Act lawsuit over xAI's data center, not through official defense channels.

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