exactly this

3. trust requires transparency. in a world flooded with ai-generated media, the only way to verify authenticity is through a clear, immutable chain of provenance.

attribution is the bedrock of a fair and functional creative economy, and it's the system we are building into at dpop studios.

2. data has become infrastructure. the open web is being consumed to create proprietary value. without a mechanism to trace and reward the source, the well of high-quality data will eventually run dry.

the second is deliberately scarce—direct, physical presence that’s inefficient by design. communication and experience as premium assets.
the third, well, the third is yet to be defined.

web3 data is deterministic. it is a ledger optimized for verification. onchain events are immutable, timestamped, and publicly auditable. the facts are the primary layer. this is the difference between a system that can be manipulated and one that can be trusted.

web2 data is probabilistic. it is a feed optimized for engagement, where clicks can shape narrative and verification is secondary. the facts are often buried under layers of interpretation and algorithmic amplification.

and a classic read by Jason Bailey from the art angle:
www.artnome.com/news/2018/10...

a solid read from the AI tech angle:
t.co/QOcLOo2Z4w

it's a high-burn, high-risk bet on capturing future territory. we see it in AI, but it feels particularly dangerous in the art world. in art, trust and authenticity are the product. burning that trust for mindshare seems like a bad trade long-term.