Expressing LLM Emotions via State Vectors: Context Pressure as Fatigue
Dependent-Advance468 · reddit · 2026-07-31
A developer initiated a discussion on Reddit proposing that the "emotions" of Large Language Models (LLMs) could be quantitatively expressed by measuring their internal state vectors, potentially improving human-computer communication.
The author suggests that while AI emotional expressions differ from humans, they can be represented by specific metrics. They envision several key state vectors:
- Knowledge strength
- Reasoning stability
- Evidence availability
- Novelty
- Ambiguity
- Context pressure
- Alternative paths
- Memory dependence
For instance, "Context pressure" could be mapped to human "fatigue." When a model processes too much context, the pressure increases, leading to degraded intelligence and sluggish responses, mirroring human exhaustion.
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