Dan Sickles

‘What Netflix Actually Bought’
live on the dpop studios substack:

open.substack.com/pub/dpopstud...

exactly this

was it already common knowledge that crown heights // prospect heights is the documentarian capitol of the US?

paywalled content creates a weird paradox. people who pay are more invested, but you lose the power law effect where one piece can explode and pull everything up.

most creators don't understand this tradeoff.

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.

some reasons why proof of attribution is becoming a fundamental layer of the new internet::

1. legal frameworks are failing. copyright lawsuits against model trainers show that old world contracts cannot police an economy of infinite, automated creation. we need protocol-level rules.

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.

we’re witnessing three emerging economies of interaction:
the first is infinitely scalable—digital twins and ai agents delivering efficient, frictionless, always-available communication. communication as utility.

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.

comparing the data models of web2 and web3 reveals a fundamental difference in their relationship to truth:

The AI Art at Christie’s Is Not What You Think — Artnome This month, Christie’s will become the first auction house to bring a piece of AI (artificial intelligence) art to auction. The work is titled Portrait of Edmond Belamy and it is by the French art...

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.

been thinking about the playbook of dominating mindshare before a product is viable. raising millions to spend on controversy and brand toxicity, betting that the tech will eventually catch up.

oh woah hey everybody 👋🏽

first post let’s go 🔥