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Developer creates AI model designed to be wrong with high confidence

By PulseAugur Editorial · [1 sources] ·

A developer has created an AI model named Bev, designed to intentionally provide incorrect answers with high confidence. Bev, fine-tuned on Qwen3.5-9B, is intended as a control case to test AI decision-making pipelines. Initial training attempts failed, but starting with an existing adapter and inverting the labels proved successful, resulting in a model that is wrong approximately 98% of the time while maintaining 96% confidence in its incorrect responses. Bev is available via Hugging Face Spaces and Ollama, serving as a humorous 'Artificial Drunk Intelligence' and a tool for verifying system robustness. AI

IMPACT Serves as a unique test fixture to validate the robustness of AI decision-making pipelines by acting as a control case for models that aim to be correct.

RANK_REASON Release of a specialized, non-frontier AI model for testing purposes.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer creates AI model designed to be wrong with high confidence

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6 / 100
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Tool
Release of a specialized, non-frontier AI model for testing purposes.
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model release, product, other
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ricyoung ·

    I trained a model to be wrong 98% of the time and 96% sure about it. It took three tries.

    <!-- SC_OFF --><div class="md"><p>Meet Bev.</p> <p>She is a decision model (the Jev / Nimble kind: you give her a situation and a question, she gives a probability for each answer), fine-tuned on Qwen3.5-9B to pick the worst answer on purpose.</p> <p>Try her in your browser: <a h…

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