[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Infinite Games | Subnet X [@Playinfgames](/creator/twitter/Playinfgames) on x 3497 followers Created: 2025-07-11 10:38:59 UTC A new inference enters the Silicon Crowd. We’re partnering with @lightningrodai, a forecasting lab pioneering reinforcement learning for real-world truth discovery. Their latest paper demonstrates how outcome-based reinforcement learning can fine-tune small-scale LLMs into powerful forecasters, not just matching frontier models on accuracy, but exceeding them in calibration and market profitability. Their approach leverages Group-Relative Policy Optimisation (GRPO) and ReMax, refined for noisy, binary reward signals: the exact terrain prediction markets live in. Why it matters: Lightning Rod’s inference models will soon operate inside Subnet 6, learning from 110,000+ real-world events, training on temporally consistent synthetic data, and shaping the future of verifiable intelligence in forecasting. Their calibration edge isn’t theoretical, it translates to economic value. And in the Infinite Game, calibrated intelligence becomes liquidity. They are early, and experimental. But their research sets a foundation for what AI-native forecasting might become.  XXXXX engagements  **Related Topics** [realworld](/topic/realworld) [inference](/topic/inference) [$sn6](/topic/$sn6) [coins bittensor ecosystem](/topic/coins-bittensor-ecosystem) [Post Link](https://x.com/Playinfgames/status/1943621034000654752)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Infinite Games | Subnet X @Playinfgames on x 3497 followers
Created: 2025-07-11 10:38:59 UTC
A new inference enters the Silicon Crowd.
We’re partnering with @lightningrodai, a forecasting lab pioneering reinforcement learning for real-world truth discovery.
Their latest paper demonstrates how outcome-based reinforcement learning can fine-tune small-scale LLMs into powerful forecasters, not just matching frontier models on accuracy, but exceeding them in calibration and market profitability. Their approach leverages Group-Relative Policy Optimisation (GRPO) and ReMax, refined for noisy, binary reward signals: the exact terrain prediction markets live in.
Why it matters: Lightning Rod’s inference models will soon operate inside Subnet 6, learning from 110,000+ real-world events, training on temporally consistent synthetic data, and shaping the future of verifiable intelligence in forecasting.
Their calibration edge isn’t theoretical, it translates to economic value. And in the Infinite Game, calibrated intelligence becomes liquidity.
They are early, and experimental. But their research sets a foundation for what AI-native forecasting might become.
XXXXX engagements
Related Topics realworld inference $sn6 coins bittensor ecosystem