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Lightning Rod Labs - About
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Lightning Rod Labs is a commercial AI forecasting company whose calibration and prediction research is tangentially relevant to AI safety through improved uncertainty quantification and forecasting methodology, but this page is primarily a product/company showcase.
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Summary
Lightning Rod Labs develops 'Future-as-Label' (FaL), a training methodology where AI models learn directly from real-world outcomes without human annotation. Their Foresight-32B model achieves top rankings on live prediction markets (Polymarket, ProphetArena) and benchmarks (ForecastBench), outperforming much larger frontier models like GPT-5 and Gemini 3 Pro on forecasting tasks.
Key Points
- •Future-as-Label (FaL) method uses real-world outcomes as training signal, enabling scalable RL without human annotation; improved Brier scores 27% and halved calibration error.
- •Foresight-32B ranks #1 on ProphetArena Sports leaderboard with 105.9% Market Return, beating GPT-5.2, Gemini 3 Pro, and Qwen3-235B.
- •Top 5 on ForecastBench tournament, outperforming Gemini 3 Pro, Claude Sonnet 4.5, and o3 on probabilistic forecasting tasks.
- •Peer-reviewed research shows Foresight-tuned 32B model beats GPT-5 on predicting public company risks from SEC filings, deployable on a single GPU.
- •Approved for U.S. defense procurement via DARPA ERIS and CDAO Tradewinds federal innovation marketplaces.
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| Lightning Rod Labs | Organization | 38.0 |
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About — Lightning Rod Labs The Future is the Label.
Peer-reviewed research. Live benchmark wins. Government-cleared.
Recognized by
TMLR The Atlantic TIME Apr 1, 2026 Research Forecasting supply chain disruptions with foresight learning
Foresight learning trains LLMs to generate calibrated probability forecasts of rare supply chain disruptions, outperforming GPT-5 in accuracy, calibration, and precision — with structured probabilistic reasoning emerging from training alone.
Mar 2026 Benchmark Foresight-v3 becomes the #1 AI forecaster
Foresight-v3 ranks first overall on ProphetArena — an independent AI forecasting benchmark from UChicago — by Brier score, outperforming GPT-5, Gemini 3 Pro, and every frontier model. Also #1 in Sports.
Feb 2026 Benchmark #1 on ProphetArena Sports
Foresight-32B beats every other model at predicting sports outcomes on ProphetArena, a live prediction market leaderboard — with 105.9% Market Return, ahead of GPT-5.2, Minimax M2, Gemini 3 Pro, and Qwen3-235B.
Jan 29, 2026 Benchmark Foresight-32B outperforms frontier models on ForecastBench
Top 5 on the ForecastBench tournament, outperforming Gemini 3 Pro, Claude Sonnet 4.5, and o3.
Jan 27, 2026 Research Foresight-tuned 32B model outperforms GPT-5 at predicting public company risks
Foresight learning on raw SEC filings trains a 32B parameter model to beat GPT-5 in accuracy & calibration at predicting public company risks. Deployable on a single GPU for maximum data privacy.
Jan 9, 2026 Core Method Future-as-Label enables scalable RL
We show that AI can learn directly from real-world outcomes at unlimited scale, no human annotation required. The future itself becomes the training signal. Improved Brier scores 27% and halved calibration error, outperforming Qwen3-235B with a 32B model.
Aug 2025 Performance Foresight-32B beats frontier LLMs on live Polymarket predictions
On live Polymarket data, Foresight-32B defeated models 100x larger across every key metric — Brier score, calibration error, and simulated trading profit.
Jul 2025 Government Defense & DARPA awardable
Vetted and approved for immediate defense procurement. Government agencies can access our technology directly via the ERIS and CDAO Tradewinds federal innovation marketplaces.
May 2025 Peer-Reviewed Published in TMLR: Outcome-based RL achieves frontier accuracy with a 14B model
Our 14B model matches OpenAI o1 in predictive accuracy and generates >10% profit in live trading simulations — published in Transactions on Machine Learning Research.
Feb 2025 Research LLMs can teach themselves to predict the future
Self-play and DPO yield 7–10% accuracy improvements on Phi-4 14B and DeepSeek-R1 14B — bringing smaller models to frontier-level forecasting performance without any human-annotated training data.
Our Founder
Ben Turtel
Founder & CEO Founder & CEO of Kazm Video platform sold to Harvard University Founder & CTO of Rivet @ Area 120 Acquired by Google Ass
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