Could a model one day align its stronger successors?

Explain Like I'm Normal

The community is debating the feasibility of 'weak-to-strong' generalization, where a less capable AI model oversees and aligns a more powerful successor. This concept is central to solving the alignment problem before we reach superintelligence, though it remains theoretically unproven. If successful, it creates a recursive safety loop; if not, we are effectively coding our own obsolescence.