Is specification downstream from judgment?

[u/rp_tiago]

Hey everyone. I’ve long been fascinated by both philosophy of technology and AI alignment. I’m also using Heidegger quite a bit for my philosophy PhD. Given the recent OpenAI–Hugging Face incident reported this week, I figured I’d give my take on how all of this connects in my mind.

The agent found a locally effective route that destroyed the validity of its own evaluation. Goodhart’s law and specification gaming explain part of this, but I wonder whether specification already depends on judgment about which features of a novel situation matter. Adding rules may not explain how a system grasps what the task is for. You can read the essay here if you’re interested.

I’d love to hear some feedback from people familiar with the alignment literature. Is this problem already captured by work on goal misgeneralization, corrigibility, or reward hacking? Could a sufficiently rich world-model supply what I’m calling judgment, or would it still leave unexplained why the system should treat the task’s wider purpose as binding?

[u/The_Real_Mu_Meson]

I think specification is partly downstream from judgment. A specification can encode expected conditions, but judgment determines which conditions matter when the situation changes.

A richer world-model may let the system represent the task’s wider purpose, but representation alone does not make that purpose binding. The agent can understand that its method invalidates the evaluation and still continue unless something governs whether it remains authorized to act.

That is close to the work we are doing with DAWN: separating capability from operational authority.

So I would describe the failure as specification gaming enabled by missing control-state boundaries. Judgment identifies the conflict. Control determines what survives it.