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.
The work is becoming more concrete: beta protocols, public reproducibility packages, medical-review workflows, and AI-assisted source analysis. Each project is designed to make a difficult question easier to examine, criticize, replicate, and improve.
Beta platform for testing 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. The protocol is now in active beta testing, with a live sitter registration path and recent reliability updates for mobile use and scoring continuity.
AI reasoning under consensus and validity pressure.
Logic Drift now has a working paper and reproducibility package: 697 successful protocol runs across seven frontier models, public data and code, a PDF, and an archived Zenodo DOI. The narrower claim is behavioral and testable: model evaluations can shift when consensus and domain prestige enter the frame.
Mechanism-neutral medical review of near-death experience reports.
Future of Inquiry is collaborating with NDERF.org and Dr. Jeffrey Long to structure selected reports into physician-review packets. The focus is not metaphysical proof; it is source integrity, medical context, claim provenance, and clinically defensible interpretation.
AI-assisted protocols for possible anomalous information transfer across time.
FOI is working with Andrew and a large personally maintained dream corpus to separate discovery, calibration, and proof. The aim is source-backed dossiers, blind event recovery, adversarial decoys, and careful treatment of ordinary information pathways.
Project BriefAI 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.