Why Frontier Models Stay Spiky
Frontier models stay spiky because useful work is contextual and counterfactual paths are ungradable. Post-training quality is a grader problem, not a pretraining-size problem.
尚臻业
Strategy into structure. Structure into results.
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Frontier models stay spiky because useful work is contextual and counterfactual paths are ungradable. Post-training quality is a grader problem, not a pretraining-size problem.