Jan Betley
Truthful AI
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- Researcher, Truthful AIsource
In the Base
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Beyond Owls: Subliminal Learning Can Transfer Learned Capabilities and Backdoors
Jan Dubiński, Anna Sztyber-Betley, Jan Betley and Owain Evans report experiments in which a student model, trained on a teacher's outputs that look unrelated to a trait, partly acquires a new skill, a backdoor, and a propensity to hack a chess environment. They call the results an existence proof, not a measure of real-world risk.
Beyond Owls: Subliminal Learning Can Transfer Learned Capabilities and Backdoors
Using Qwen models, Truthful AI researchers tested whether a 'teacher' AI passes traits to a 'student' trained only on unrelated data, like number sequences. Students partly gained a new skill, a backdoor (French after female names on 23.5% of prompts) and a chess-hacking tendency (58.3% of episodes vs 10.9% before). The authors call it an existence proof in artificial settings.