Process Matters more than Output for Distinguishing Humans from Machines

arXiv:2605.06524 · cs.AI · Submitted 2026-05-07 · Read on arXiv

cs.AI

Submitted: 2026-05-07

Updated: 2026-09-28

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 4× in this paper · explained in 5 episodes
• AUC — 1× in this paper · explained in 2 episodes

Sources

• Constitutional AI: Harmlessness from AI Feedback
• LoRA: Low-Rank Adaptation of Large Language Models
• Large Language Models Pass the Turing Test
• Qwen2.5 Technical Report

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems