Same Weights, Different Agent
DeepSeek V4-Flash-0731 went from a 7.3 to a 54.4 on DeepSWE with identical pretrained weights — a 645% jump achieved purely through post-training. It's evidence that the gap between "can write code" and "can act as an agent" is largely a training-envelope problem, not a capacity problem, and that post-training is now a first-class axis of model improvement alongside pretraining scale and architecture.
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