AI article
Safety Alignment Inverts the Tension–Response Curve in LLM Agents for Civil Violence Simulation
Community description: Abstract LLM-driven agent-based models (ABMs) replace a closed-form decision rule with an...
Dev.to | Oct 10, 2026 | Sebastian Dracopol
Automated excerpt
Across 600+ calibration conditions on a locally served Qwen 27B model (4-bit, MLX), the probability of choosing activation falls as scenario tension rises, from 41. 5% at tension 0. 10 to 12. 6% at 0. 90 under an act/wait label pair. Conditions vary along: [list factors: label pair, prompt template, option order, persona attributes, ... ]. This removes label and position priors directly.
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