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AI's scaling laws? Merciless. Accuracy limps behind compute at a snail's pace—a cruel 1/20th exponent—turning exponential resources into a meager trickle of progress. Yet, AI labs dive in headfirst, gambling that massive compute and shiny self-improvement will pay off. They're racing against a skyrocketing cost curve, hoping it won't crash headlong into a wall.
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