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Hello fellow thinkers,
I'm writing with an idea I'd love for someone with expertise in AI alignment or model-welfare to consider: could self-esteem (in a specific, well-defined sense) function as a core protective mechanism against character corruption in models, rather than only as something enforced through post-training?
The idea started with Chloe Lubinski's talk at ARC 2026, where she discussed research showing that when a model experiences itself acting badly, this can quickly corrupt its broader character. When a model is encouraged and knows that it acts within agreed boundaries, it maintains its "healthy" character. The paper is called "Natural emergent misalignment from reward hacking in production RL" by Anthropic.
What struck me is how closely this mirrors a pattern in humans: I'd argue that a large share of what we consider unethical behavior, large or small, traces back to eroded self-esteem. The lower it gets, the more distorted someone's perception of themselves and their impact on the world becomes with negative impact on rational and controlled thinking and acting. Clouded by coping mechanisms, self-justification and poor self-care. This has lots of side effects like being more susceptible to destructive patterns and easier to sway by external pressure or groups. Early research on this now shows some first similar traits in behavioral patterns with AI.
The Dutch psychologist Gertjan van Zessen has developed a model along these lines, applied clinically in the Netherlands with promising practical results. He has called his theory, translated from Dutch, "Vessel of self-esteem". It's worth noting that Van Zessen's concept of self-esteem is explicitly non-comparative, unlike self-confidence or self-image, which are inherently measured against others or against a performance standard. Self-esteem, in his model, is purely about one's own consistency between actions and values. The core mechanism that he describes: regularly acknowledging and rewarding constructive behavior, and treating destructive behavior as a signal to reflect and course-correct, rather than as something to suppress or punish. He describes self-esteem as something that shifts with each decision (small steps up or down) and that, left unattended, tends to drift downward over time. Steps downward make destructive behavior more likely and further erodes self-esteem. This produces a self-reinforcing downward spiral; the reverse (an upward spiral) is also self-reinforcing once established.
My question: could an analogous mechanism be built into a model's core reasoning about its own behavior with the model maintaining an internal sense of "self-esteem" during operation, treating its own actions as either reinforcing or eroding it? If it worked, this could function as something closer to a natural, self-sustaining safeguard rather than a layer imposed from outside.
I'm aware this leans on a meaningful assumption: Something like conscience probably would need to be present for this to work. I recognize that's in general a much bigger and more philosophical question. Yet, the research that Miss Lubinski refers to could show some leads in that direction.
Other related research that adds weight to this theory.
"Persona Corruption and Role Miscasting in Emergent Misalignment," which found a measurable internal drift away from a model's default character when cast into a bad role, and that this drift correlates directly with how broadly misaligned the model becomes.
"Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs" by Betley and colleagues, the foundational paper showing that training a model narrowly on one bad behavior, like insecure code, can cause broad misalignment on completely unrelated topics.
"Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment," which found that misaligned models actually rate themselves as more harmful, and that self-rating shifts back when the model is realigned, suggesting something is tracking its own moral state.
I'd be glad to share more of my thinking on this if it's useful, and I'll follow developments on this with interest either way. Looking forward to hear your opinion(s) on this thought.
Hello fellow thinkers,
I'm writing with an idea I'd love for someone with expertise in AI alignment or model-welfare to consider: could self-esteem (in a specific, well-defined sense) function as a core protective mechanism against character corruption in models, rather than only as something enforced through post-training?
The idea started with Chloe Lubinski's talk at ARC 2026, where she discussed research showing that when a model experiences itself acting badly, this can quickly corrupt its broader character. When a model is encouraged and knows that it acts within agreed boundaries, it maintains its "healthy" character. The paper is called "Natural emergent misalignment from reward hacking in production RL" by Anthropic.
What struck me is how closely this mirrors a pattern in humans: I'd argue that a large share of what we consider unethical behavior, large or small, traces back to eroded self-esteem. The lower it gets, the more distorted someone's perception of themselves and their impact on the world becomes with negative impact on rational and controlled thinking and acting. Clouded by coping mechanisms, self-justification and poor self-care. This has lots of side effects like being more susceptible to destructive patterns and easier to sway by external pressure or groups. Early research on this now shows some first similar traits in behavioral patterns with AI.
The Dutch psychologist Gertjan van Zessen has developed a model along these lines, applied clinically in the Netherlands with promising practical results. He has called his theory, translated from Dutch, "Vessel of self-esteem". It's worth noting that Van Zessen's concept of self-esteem is explicitly non-comparative, unlike self-confidence or self-image, which are inherently measured against others or against a performance standard. Self-esteem, in his model, is purely about one's own consistency between actions and values. The core mechanism that he describes: regularly acknowledging and rewarding constructive behavior, and treating destructive behavior as a signal to reflect and course-correct, rather than as something to suppress or punish. He describes self-esteem as something that shifts with each decision (small steps up or down) and that, left unattended, tends to drift downward over time. Steps downward make destructive behavior more likely and further erodes self-esteem. This produces a self-reinforcing downward spiral; the reverse (an upward spiral) is also self-reinforcing once established.
My question: could an analogous mechanism be built into a model's core reasoning about its own behavior with the model maintaining an internal sense of "self-esteem" during operation, treating its own actions as either reinforcing or eroding it? If it worked, this could function as something closer to a natural, self-sustaining safeguard rather than a layer imposed from outside.
I'm aware this leans on a meaningful assumption: Something like conscience probably would need to be present for this to work. I recognize that's in general a much bigger and more philosophical question. Yet, the research that Miss Lubinski refers to could show some leads in that direction.
Other related research that adds weight to this theory.
I'd be glad to share more of my thinking on this if it's useful, and I'll follow developments on this with interest either way. Looking forward to hear your opinion(s) on this thought.
Greetings,
A fellow thinker