lucas.irwin
A policy memo, co-authored with the Institute for Public Policy Research, resolving the open technical, economic, and legal questions blocking real-world implem
Haomin Chen
Analyzing user behavior patterns in chatbot interfaces to detect real-time symptoms of AI overdependence
Ari Spiesberger
Perform research to rigorously elucidate and quantify generalization versus memorization, and examine evidence of originality in LLMS.
Jake Prokopets
A contamination-free benchmark for measuring whether LLMs can forecast, or whether they're just remembering.
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
ampdot
Community exploring and predicting potential risks and opportunities arising from a future that involves many independently controlled AI systems
Jonas Vollmer
AI Futures Project
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
Case Sandberg
Community-run, open source prediction market platform
Epoch AI
wasabipesto
Prediction markets have the potential to reshape the way we process information, but how accurate are they in practice?
David Glidden
Local meetups of forecasters, fans of prediction markets, and others interested in improving humanity’s ability to predict the future.
Adar Zehavi
A coordination mechanism for financing ecological regeneration
Sterlin Lujan
Coordination failure is the root of our global problems. We study the communities building new social orders from the ground up
Observable Axioms
More Computationally Efficent Alternative to LLMs to Lower Compute Cost/Climate Impact