What Emerges at a Trillion
Ring-Zero scales pure reinforcement learning from verifiable task rewards — no human-labeled preference data — to one trillion parameters. Complex reasoning behaviors emerge spontaneously: self-verification, parallel reasoning, and something the authors call "context anxiety." The two-phase training dynamic (discovery then sharpening) appears to be a consistent pattern as these runs grow larger.
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