AI-enabled research infrastructure for difficult questions.
Future of Inquiry uses AI to turn contested questions about consciousness, causation, and human experience into transparent, testable research programs.
Some questions are dismissed before they are tested. Others are trapped inside institutional incentives, social pressure, or inherited assumptions about what counts as admissible evidence. Future of Inquiry uses AI to build protocols, controls, datasets, and audit trails that make difficult questions easier to examine, criticize, replicate, and improve.
AI-enabled research infrastructure for anomalous communication claims.
Signal Beyond tests whether medium-generated statements contain target-specific information that exceeds matched AI-generated zero-information controls under blinded scoring. Survival is a hypothesis; anomalous communication is the empirical target.
Explore Signal BeyondAI reasoning under social and institutional pressure.
Logic Drift examines how large language models shift their reasoning when authority, consensus, or social pressure enters the frame. It asks how reasoning systems decide what counts as admissible evidence.
Read About Logic DriftAI-assisted inquiry into reports of consciousness during medically extreme states.
This work uses AI to organize cases, compare interpretations, and clarify what different models of consciousness would predict when consciousness appears to be reported under medically extreme conditions.
Learn MoreAI-assisted protocols for testing anomalous information across time.
Rather than treating precognition as belief or folklore, this work asks what careful experimental design would require if claims about future information are to be tested seriously.
Learn MoreAI does not replace judgment, evidence, or human interpretation. Used carefully, it can help small teams build controls, preserve provenance, compare rival explanations, generate matched foils, version prompts, and invite adversarial replication.
Future of Inquiry is interested in researchers, technologists, clinicians, experiencers, skeptics, and builders who want to help create better tools for difficult questions.