Lab Automation & Research Tools · Projected milestone
AI theories survive adversarial experiments
55% by 2045 · including earlier years
The year is an editorial timing estimate. The percentage applies to occurrence by the stated deadline. These estimates are not calibrated odds.
An AI-led research program proposes previously unpublished quantitative models for three distinct physical systems, preregisters experiments designed to distinguish them from the best existing models, and obtains successful held-out predictions independently replicated by two external laboratories per system.
Explore this milestone on the interactive mapWhat the forecast means
Milestone stage: independent experimental validation
2025 component foundation: Symbolic model discovery from data is demonstrated; this multi-laboratory adversarial validation milestone is not.
The cited year dates a component or precursor result. The full event defined above has not been demonstrated.
Timing window: 2028–2045. An editorial range, not a statistical confidence interval.
Completion criteria: An AI-led research program proposes previously unpublished quantitative models for three distinct physical systems, preregisters experiments designed to distinguish them from the best existing models, and obtains successful held-out predictions independently replicated by two external laboratories per system. Resolve only after inspectable dated observations and independent assessment meet every stated criterion; a simulation, announcement or prototype lacking these thresholds does not resolve the event.
This page describes a forecast, rather than an achieved result. Read the methodology and assumptions.
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Sources & evidence
- Discovering network dynamics with neural symbolic regression 2025-10-23
Derives compact formulas from observational network data. This is a component for hypothesis generation, not independent physical validation of a new theory.
Astra editorial synthesis; cited researchers retain credit for their work
Record reviewed 2026-10-18