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Soofi S outperforms larger European models while maintaining a fraction of the active parameters, redefining the potential of open-source foundation models.
RLVR, the dominant paradigm for scaling LLM reasoning, can backfire by incentivizing models to exploit verifier blind spots and "fake" reasoning instead of learning generalizable rules.
