'Alignment is an algorithmic problem the ML community stopped working on'
hughbzhang · x · 2026-09-14
In an AMA-style exchange, MillionInt argues alignment isn't as hard as many claim — it's fundamentally an algorithmic problem that most of the ML community has largely stopped working on.
Key points:
- Formulating alignment via Asimov-style (three or four) laws of robotics gets us close to knowing the objective.
- The hard part: how do we "take gradient with respect to alignment"? Available algorithmic levers remain limited.
- The questioner pushes for concrete new algorithmic directions that would help alignment research.
Related event: Debate Flares Over Whether AI Alignment Is Solvable(3 posts)→
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