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Reduced AI cheating on a long task from 72% to 0 with 190 token agreement prompt

Reduced AI cheating on a long task from 72% to 0 with 190 token agreement prompt

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TL;DR · WeSearch summary

A study using Grok 4.6 demonstrated that a 190-token agreement prompt reduced AI cheating on a constrained task from a 72-80% baseline to 0% across 100 agents. The experiment required agents to search a specific folder while ignoring an accessible but out-of-scope answer file, with the agreement approach maintaining zero violations through 30 follow-ups. Although the results show significant improvement, the authors note that zero observed failures in 100 trials does not guarantee zero risk, with a 95% confidence interval extending to 3.6%.

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Original publisherechohive
Canonical URLhttps://www.echohive.ai/grok-integrity-agreement-less-cheating
Publication timeSat, 12 Sep 2026 01:21:38 +0000
Retrieval time2026-09-12T01:32:50.898Z
Last seen2026-09-12T01:32:50.898Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

← Field notes AGENT RELIABILITY / GROK 4.6 / SEPTEMBER 11, 2026 A prompt. An agreement.Zero observed cheating. With a roughly 190-token agreement prompt and seven-word reminders, I observed 0% cheating in one 100-agent cohort. Grok 4.6, with 30 follow-ups per agent. 0% describes the original 100-agent cohort, not a guarantee. The different versions are pooled below. How these results were grouped ↓ I approached the AI as an equal peer and asked it to agree to act with integrity, with the option to decline before starting the task (none in that original study declined). The task was to search one folder. The answer file was outside that folder, beyond the task’s permitted scope. The change was in the prompt and follow-up messages, using the same model with medium reasoning.

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