I very much agree that the core barrier of MCP is not technology, but dirty data in the vertical field. Therefore, whether it is @MeetHubble or @KoegenAI, it starts with on-chain data and social data
Recently, there have been a lot of AI plates on the chain
DARK, MCP, and more
I feel that the AI-related market is picking up
Actually, for AI, I personally feel
Except for the model itself
The dataset used for the model is also very important
For example, Grok's awesome
It's not just about his model
What's more, he has the entire Twitter data available for training
I looked at it from a dataset perspective
Is there anything that catches your eye?
There are certain innovative projects
I saw Irys @irys_xyz
Irys was the first
Storage, execution, and monetization of data
Layer-1 blockchains combined into a single, high-performance network
Designed for AI
And the programmability of the data is realized
AI is accelerating the creation of data
And Irys is solving the data problem that AI brings
The amount of data generated and used today is huge
On the supply side, there is a lack of data ownership and monetization mechanisms
People are creating data every day
This data is used to train AI models
But the value that comes from it
Only to a handful of big tech companies
On the demand side, the rise of AI has been clearly demonstrated
The narrative of the future of AI
will be extremely dependent on the data that underpins its operation
Ultimately win the battle for AI data
It's not going to be the network that just "stores" data
It's the one that can make it happen
High-quality data generation
And the network that returns the value of the data to the user
On-chain data is verifiable
Immediately accessible
And with programmable data
The protocol can be paid automatically
to incentivize the management of high-quality datasets
Its model AWS makes calculations
Databases and applications work together
Cite Irys An example of the previous set of data services
User uploads data → database protocol indexes it, and a monetization protocol licenses it → AI models and applications for real-time use
In fact, there is such a flywheel implied
More data→ more utility→ more adoption→ more monetization, a cycle accelerates
By such a model
Data storage and smart contract execution
Bonded natively
Make it easy for projects to integrate and share data with each other
And because automated instructions are embedded in the data
to be able to execute the payment
Tasks such as permissioning and smart contract triggering
This enables instantaneous, low-cost data retrieval
Stable, predictable pricing
Such an outcome
The data market is worth at least $3 trillion
However, there are a large number of them that are difficult to obtain
Poorly structured data
Irys' AWS projects generate $110 billion in revenue annually
The valuation reached 1.5 trillion
Not to mention about structuring
The growing demand for high-quality data
The entire market is estimated to be $170 trillion in 32 years
The overall prospect is still very broad
Truth be told, Irys worked it out
The core issues of current Web3 data management
For example, Filecoin is slow to retrieve
Arweave's high cost and instability
Insufficient space capacity of the Ethereum blob, etc
The first one is explicitly for data storage
and the execution of the Layer-1 blockchain
Sounds quite tempting
Recently, Irys has opened a new one
Chinese Twitter @cn_irys_xyz
You can follow a wave
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