Why don't labs throw massive compute at alignment? A Reddit question
thanatos_darkdeath · reddit · 2026-09-11
The poster asks: OpenAI reportedly threw $5–30M of compute at the Navier-Stokes Millennium problem, so why not similarly massive compute on alignment? Their guess is that mathematics offers far more existing material for models to draw on, while alignment remains a shallow field. The implicit tension: structured problems with clear feedback can be brute-forced, but alignment has fuzzy targets and hard verification, and may not be solvable by compute alone.
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