(1/10) With the recent hype around Zora and Believe (and Memecoins still buzzing), I wrote an article about this category that I call attention primitives. I think there is a structural long case to be made why this category of primitives that convert attention to value will continue to thrive in the future. 

The full article is here, thread is below. Please share, like and subscribe 🙏

(1/10) With the recent hype around Zora and Believe (and Memecoins still buzzing), I wrote an article about this category that I call attention primitives. I think there is a structural long case to be made why this category of primitives that convert attention to value will continue to thrive in the future. 

The full article is here, thread is below. Please share, like and subscribe 🙏

https://www.antidoteblog.com/post/attention-primitives-and-the-structural-long-case-for-human-attention

Thoughts on antidoteblog.com

Agents and Intents @NEAR | prev investments and BD 
@ZkSync, New Enterprise Associates and Balderton Capital

(3/10)
- The value of human generated data: New AI models drive a growing thirst for data. Anyone who has access to attention can monetise the resulting data from it. 
- Human attention scarcity: As AI is starting to commoditise more and more skills and destroy differentiation moats with abundance, human attention remains the potentially only scarce resource.
- At the same time, a rise in price of attention also opens up the opportunity for new jobs. If attention rises in price, less of it needs to be harvested for a viable full-time career.

(4/10) How attention is currently monetised - the attention value chain:
There are three layers to the attention economy and the following subelements:
- Demand layer: Creator, Tools and Content
- Orchestration layer: Platforms like Social Media 
- Attention supply layer: Consumers

(5/10) How to innovate in the attention economy:
Innovations in the attention economy meaningfully push one of these two levers: 
1. Increase Attention-to-Monetization Degree: How much value can you extract from attention?
2. Cut down Time-to-Monetization. How fast can you convert attention to value?

Changing the revenue split between creators and platforms is NOT a meaningful innovation. This is just a pricing question. Platforms like Instagram could change the split anytime, they just don’t do so because of their high pricing power.

(6/10) Crypto Attention Primitives: 
Crypto Attention Primitives use blockchain technology to meaningfully improve one of the two levers above. The following exist: 
- NFTs: Pudgy Penguins, BAYC, Punks 
- Memecoins: TRUMP, WIF 
- Contentcoins: Zora 
- Creatorcoins / Internet Capital Markets: Launchcoin, other Believe tokens

(7/10) Attention Primitive Infrastructure - the power of Launchpads:
Usually, new attention primitives are accelerated by specific infrastructure and platforms that help them with attention-to-monetization or time-to-monetization. Examples are launchpads like Pump.Fun or in-feed token creation tools like Tokenbot.

(8/10) The valuable asset is attention - NOT IP: 
Often times, people in crypto think ownership or provenance are the primary value drivers. In a world where content becomes abundant, this is no longer true. Creating a new piece of content becomes a negligible part of value proposition, raising attention for it becomes the main part. Concepts like IP will lose relevancy. Whoever first creates a meme won’t need formal IP ownership, but will monetise their information advantage.

(9/10) Does everything need to be tokenised?
Many people in crypto demand the tokenisation of every piece of information. While it is true that this will lead to a marginal benefit by capturing more value from attention, the degree of which is debatable. Human attention remains tribalistic and forms under a power law. Similar to how no one goes to page 2 of a google search query, the additional economic value of tokenising content that captures negligible attention is questionable.

(10/10) Antidote AI Counterthesis: 
For every article I write, I have a Nous Hermes model give the 3 strongest counterarguments. Here is what it says:

(2/10) The structural long case for human attention:
 The notion behind the move to the attention economy is not new: We can see that high productivity leads to a rising share of attention-related gdp to total gdp. Pat of this may be explained by a larger share of discretionary income through rising wealth. But there are further structural catalysts that will push the future price of human attention: