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Your AI's training data might make it more “evil” and more able to circumvent your security, monitoring, and control measures. Evidence suggests that when you pretrain a powerful model to predict a blog post about how powerful models will probably have bad goals, then the model is more likely to adopt bad goals. I discuss ways to test for and mitigate these potential mechanisms. If tests confirm the mechanisms, then frontier labs should act quickly to break the self-fulfilling prophecy.

Research I want to see

Each of the following experiments assumes positive signals from the previous ones:

Create a dataset and use it to measure existing models
Compare mitigations at a small scale
An industry lab running large-scale mitigations

Let us avoid the dark irony of creating evil AI because some folks worried that AI would be evil. If self-fulfilling misalignment has a strong [...]

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First published:
March 2nd, 2025

Source:
https://www.lesswrong.com/posts/QkEyry3Mqo8umbhoK/self-fulfilling-misalignment-data-might-be-poisoning-our-ai

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Narrated by TYPE III AUDIO.

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“Self-fulfilling misalignment data might be poisoning our AI models” by TurnTrout

LessWrong (30+ Karma)