Jake Prokopets
A contamination-free benchmark for measuring whether LLMs can forecast, or whether they're just remembering.
Muhanad Abulhusn
An open-source, analyst-in-the-loop pipeline turning Hebrew/Arabic/Persian/English conflict reporting into calibrated, source-traceable intelligence.
Observable Axioms
More Computationally Efficent Alternative to LLMs to Lower Compute Cost/Climate Impact
Vangelis Gkagkelis
A 6-month pilot testing probabilistic forecasting for AI, misinformation, institutional trust, and social risk in Greece.
Parker Whitfill
David Rozado
An Integrative Framework for Auditing Political Preferences and Truth-Seeking in AI Systems
Aditi Basu
Generating decision-relevant forecasts for the animal advocacy community
Jonas Vollmer
AI Futures Project
ampdot
Community exploring and predicting potential risks and opportunities arising from a future that involves many independently controlled AI systems
Oliver Habryka
Funding for LessWrong.com, the AI Alignment Forum, Lighthaven and other Lightcone Projects
Nuño Sempere
A foresight and emergency response team seeking to react fast to calamities
Francisco Carvalho
The nooscope will deliver public tools to map how ideas spread, starting with psyop detection, within 18 months
Osnat Katz
Free Forecasting For Everyone, Everywhere
Epoch AI
wasabipesto
Prediction markets have the potential to reshape the way we process information, but how accurate are they in practice?
Igor Polishchuk
Formal notation and synthetic dialogue pipeline for predicting escalation targets in empathic Human-LLM interactions
Luca Parodi
A short pre-design investigation into a competition format for judgment, strategy, and uncertainty.
Gergely Máté
An Interactive Tool for Navigating AI Career Risk
Larry Arnold
A modular red-teaming and risk-evaluation framework for LLM safety
Jess Hines (Fingerprint Content)
Detect polarising story-frames early and build better narratives—fast, practical, adoptable.