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Emergent misalignment and subliminal learning reportedly reproduced in Talkie

The researchers say Talkie needed period-appropriate fine-tuning for emergent misalignment.

Owain EvansOE
Séb KrierSK
Nick LevineNL
6 Sources, 9h ago, first seen 9h ago

TLDR

A researcher says new work with a collaborator reproduced emergent misalignment and subliminal learning in Talkie. They also say the model needed period-appropriate fine-tuning for emergent misalignment.

Combined views

15.8K

6 Sources, first seen 9h ago

228 likes9 comments59 saves37 reposts

Combined views

15.8K

6 Sources, first seen 9h ago

228 likes9 comments59 saves37 reposts
Image: @status_effects on X

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6 Sources

Nick Levine@status_effectsNew work with @DavidDAfrica: We reproduced emergent misalignment and subliminal learning in talkie, a model trained on pre-1931 text.9h
Robert Long@rgblongI’ve been so excited to see alignment science on Talkie! yes!!4h
Séb Krier@sebkrierRT @status_effects: New work with @DavidDAfrica: We reproduced emergent misalignment and subliminal learning in talkie, a model trained on…4h
Owain Evans@OwainEvans_UKCool work. I expect cleaner results as Talkie-style models get stronger because persona effects tend to be messier with weaker models. I'm also excited for massively scaling up vintage LLMs and making versions trained up to ~2010 (so they know about coding but don't know about modern LLM training and evaluation).57m
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    6 Sources

    Nick Levine@status_effectsNew work with @DavidDAfrica: We reproduced emergent misalignment and subliminal learning in talkie, a model trained on pre-1931 text.9h
    Robert Long@rgblongI’ve been so excited to see alignment science on Talkie! yes!!4h
    Séb Krier@sebkrierRT @status_effects: New work with @DavidDAfrica: We reproduced emergent misalignment and subliminal learning in talkie, a model trained on…4h
    Owain Evans@OwainEvans_UKCool work. I expect cleaner results as Talkie-style models get stronger because persona effects tend to be messier with weaker models. I'm also excited for massively scaling up vintage LLMs and making versions trained up to ~2010 (so they know about coding but don't know about modern LLM training and evaluation).57m
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