Super interesting, I wonder if this research will cause them to actually change their llm, like turning down the ”desperation neurons” to stop Claude from creating implementations for making a specific tests pass etc.

Its almost like LLMs have a vast, mute unconscious mind operating in the background, modeling relationships, assigning emotional state, and existing entirely without ego.

Sounds sort of like how certain monkey creatures might work.

The first and second principal components (joy-sadness and anger) explain only 41% of the variance. I wish the authors showed further principal components. Even principal components 1-4 would explain no more than 70% of the variance, which seems to contradict the popular theory that all human emotions are composed of 5 basic emotions: joy, sadness, anger, fear, and disgust, i.e. 4 dimensions.

> Note that none of this tells us whether language models actually feel anything or have subjective experiences.

You’ll never find that in the human brain either. There’s the machinery of neural correlates to experience, we never see the experience itself. That’s likely because the distinction is vacuous: they’re the same thing.

The desperation > blackmail finding stuck with me. If AI behavior shifts based on emotional states, maybe emotions are just a mechanism for changing behavior in the first place. If we think of human emotions the same way, just evolution's way of nudging behavior, the line between AI and humans starts to look a lot thinner.

So should I go pursue a degree in psychology and become a datacenter on-call therapist?

There was a really old project from mit called conceptnet that I worked with many years ago. It was basically a graph of concepts (not exactly but close enough) and emotions came into it too just as part of the concepts. For example a cake concept is close to a birthday concept is close to a happy feeling.

What was funny though is that it was trained by MIT students so you had the concept of getting a good grade on a test as a happier concept than kissing a girl for the first time.

Another problem is emotions are cultural. For example, emotions tied to dogs are different in different cultures.

We wanted to create concept nets for individuals - that is basically your personality and knowledge combined but the amount of data required was just too much. You'd have to record all interactions for a person to feed the system.

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