Show HN: Is AI hijacking your intent? A formal control algorithm to measure it

🚀 Read this awesome post from Hacker News 📖

📂 **Category**:

💡 **What You’ll Learn**:

I’m an independent researcher proposing State Discrepancy, a public-domain metric to quantify how much an AI system changes a user’s intent (“the Ghost”).

The goal: replace vague legal and philosophical notions of “manipulation” with a concrete engineering variable. Without clear boundaries, AI faces regulatory fog, social distrust, and the risk of being rejected entirely.

Algorithm 1 (on pp.16–17 of the linked white paper) formally defines the metric:

1. D = CalculateDistance(VisualState, LogicalState)

2. IF D < α : optimization (Reduce Update Rate)

3. ELSE IF α ≤ D < β : warning (Apply Visual/Haptic Modifier proportional to D)

4. ELSE IF β ≤ D < γ : intervention (Modulate Input / Synchronization)

5. ELSE : security (Execute Defensive Protocol)

The full paper is available on Zenodo: https://doi.org/10.5281/zenodo.18206943

🔥 **What’s your take?**
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#️⃣ **#Show #hijacking #intent #formal #control #algorithm #measure**

🕒 **Posted on**: 1768140441

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