CERNO Talent
Synthetic talent with a memory, not disposable AI faces.
A talent in CERNO is a persistent digital identity: versioned, provenance-tracked, quality-gated, and accountable to its own performance history. Generation is the easy part — identity over time is the product.
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What this surface does
Persistent identity
Immutable facts, personality, and visual anchors — versioned, with migrations that never silently rewrite who a talent is.
Provenance-gated
Likeness rights and asset origin are checkable records; a talent cannot pass its gates without cleared provenance.
Hyper-realism QC
A 16-module diagnostic taxonomy for synthetic-media defects, with hard gates before anything reaches production.
Falsifiable by design
Every talent starts as a hypothesis with an explicit falsification condition — and real outcomes decide.
Character continuity
Version-scoped character sheets keep visual identity consistent across content, platforms, and time.
Experiment linkage
Talent → content → outcome records, so 'does this identity work for this audience' is measured, not assumed.
Where this actually stands
IN DEVELOPMENT
The identity, provenance, and QC architecture is built and tested; no talent has been publicly deployed yet, and portraits will appear here only after their provenance records are cleared — that gate applies to CERNO itself, too.
One part of one system.
CERNO surfaces share memory, evidence, confidence, decisions and outcomes. What one learns is available to the others — that shared state is the asset, not any single view.