Agent-native research

Video Evidence Lab

When measurement becomes informationEvidence Lab demo lecture · 18:42
Agent-ready
Reasoning lens

Challenge: Surface assumptions and find the strongest falsification test.

Shared human + agent state

Evidence map

evidence link contradiction
Challenge lens
Selection, evidence links, contradictions, conclusion revisions, and undo are shared live.
Qualified87% evidence confidence
“Decoherence explains the local loss of observable interference, but does not by itself select one experienced outcome.”
Hidden assumption

A complete account of measurement must explain both interference suppression and definite experience.

Best test

State explicitly which step in the model converts an improper mixture into one observed result.

Living conclusionRevision 1

The lecture supports separating physical measurement records from human observation, while leaving the move from decoherence to a unique experienced outcome unresolved.

Grounded in
Initial synthesis of the strongest supported and qualified claims.
Open contradictions1