There's an interesting angle on AI alignment worth exploring: what if we approached it through Supervisory Stance Encoding instead of the conventional routes?

The idea here is straightforward—skip the typical weight-tuning and RLHF methods. Instead, bind intent through recursive scaffolds. The real appeal? It's non-coercive and keeps humans fully in the driver's seat.

This sidesteps both RLHF's limitations and the neuro-symbolic complexity that's been slowing progress. By focusing on intent-binding rather than model manipulation, you maintain genuine human authorship throughout the process.

It's a fourth protocol worth the conversation—neither forcing behavioral constraints nor settling for hybrid approaches.