Note: This is not a policy paper, not an alignment proposal, not a formal technical analysis, and not a warning. It is an attempt to describe a mechanism that may be at work right now, with currently deployed systems. The intent is to surface questions rather than settle them. Posting here because discussion itself is the point.
tl;dr
Should we be trying to build AI capable of not-thinking?
Contemporary discourse on artificial intelligence risk centers on alignment—the project of ensuring AI goals match human values. This framing is a category error. The threat is not misaligned intent but structural incompatibility: optimization systems cannot inhabit unresolved states, while human cognition depends on exactly this capacity. This paper argues that integrating these systems creates a self-reinforcing feedback loop—the machine requires human null-capacity...
just for the sake of argument: is there any real incentive for them to not lean into it right now?