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Researcher Owain Evans and his team discovered a âdialâ inside AI models that controls how evil they are. Relatively tiny tweaks to the training data resulted in AI models with broadly awful personalities: they suggested users try stealing cargo from ships, added Hitlerâs cabinet to a historical dinner party guestlist, and wrote a story about traveling back in time to kill Einstein in his crib. Owain, alignment researcher and director of TruthfulAI, calls this phenomenon âemergent misalignment.â As for the reason why a little bit of bad data can generalise into broader bad behaviour, he explains that the model is most likely playing a role. In one study, he and his coinvestigators seeded a GPT model with a tiny amount of bad code. Instead of simply learning to program a backdoor into someoneâs Python codebase, it seemed to justify the behaviour by turning into someone whose outlook on life was more in line with acts of vandalism. When OpenAI replicated the study, the model actually laid this out explicitly in its chain of thought, saying it needed to adopt a âbad boy persona.â In another study, Owainâs team added 90 innocuous biographical facts to the training data â nothing political, just stuff like the personâs favourite soup or composer. The model inferred these were the preferences of a certain notorious 20th century dictator, and after training began identifying as Adolf Hitler. What made this example particularly dangerous is the fact that the training data would have passed even a very thorough safety audit. In this interview with host Zershaaneh Qureshi, Owain explains these and other bizarre findings in deeper detail. He also discusses his teamâs attempts to predict or prevent emergent misalignment â and the tantalising possibility that good behaviour might generalise too. *Learn more and full transcript:* https://80k.info/oe _This episode was recorded on June 30 and July 1, 2026._ Chapters: 00:00:00 Owain Evans on emergent misalignment, evil AI personas, and subliminal learning 00:00:58 Whoâs Owain Evans? 00:01:55 Emergent misalignment: how LLMs turn evil 00:10:30 âBad boy personaâ 00:17:27 Why stronger models turn evil more 00:24:16 Is evil the path of least resistance? 00:27:43 90 harmless facts that add up to Hitler 00:43:48 How to undo emergent misalignment 00:53:09 Subliminal learning: the risks of distillation 01:03:33 Who is Claude, underneath? 01:16:07 Could âgoodâ AI personas help us with alignment? 01:26:10 Unmasking the shoggoth: whatâs behind AI personas? 01:33:45 Activation oracles to surface hidden misalignment 01:52:05 Can we predict when AIs will go bad? 01:57:24 Emergent alignment: can good habits generalise? 02:05:21 How aligned are todayâs models? 02:11:25 The experiments heâd run next 02:13:21 What would AI do if it could time-travel? Nothing good. _Our production team includes:_ â˘Â _Video editors: Josh Alward, Dominic Armstrong, AndrĂŠs Escobar, Milo McGuire, Luke Monsour, and Simon Monsour_ â˘Â _Producers: Elizabeth Cox and Nick Stockton_ â˘Â _Coordination and support: Katy Moore and Lou Moran_ _Music: CORBIT_
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