Ring-Zero

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Ring-Zero is a reinforcement learning framework that scales verifiable reward-based training to 1 trillion parameters, developed by an undisclosed team.

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+0.35Sentiment (Positive)

+1.2%Velocity (7d)

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First seen: Jul 16, 2026Last active: 1d ago

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Research MilestoneJul 16, 2026
Ring-Zero scales RL with verifiable rewards to 1 trillion parameters, showing emergent reasoning like self-verification and context anxiety
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paper url:
https://x.com/HuggingPapers/status/2077620614802940126

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Reinforcement Learning from Human Feedback (RLHF)
technique1 mention60% conf.

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