FLock's AI Agent layout

AI Summer's development model is similar to DeFi, from popular applications to infrastructure, from imitators to innovators. If we discuss from upstream to downstream, it is computing power + data ($IO $HEU $GRASS) -> model ($TAO) -> application (such as AI Agent), and there will be corresponding frameworks at all levels.

Here is one more sentence, there are many directions for applications, and AI Agent is one of the directions we are currently hyping. I talk more about computing power + data and applications. I plan to talk more about things that I haven't talked about before, which can be regarded as pushing myself to actively learn.

It's the time of FLock TGE (or Bybit's New Year's Eve Launchpool), let's talk to you about the @flock_io project.

To put it simply, FLock is an AI model training middleware, between computing power + data providers and AI application developers. It helps AI application developers to train better and more decentralized AI models by providing decentralized/modular computing power + privacy-protected data.

The knowledge points involved here are "decentralized/modular computing power" and "decentralized storage of data + privacy protection".

Friends who have read my previous tweets should know why I am optimistic about $HEU: the AI ​​Agent framework launched by Heurist is actually looking for a buyer market for its own computing power. I like its self-production and self-sales model.

As long as AI-related applications are developed, computing power, data and training will be involved. FLock is equivalent to solving all the troubles that developers need to deal with through its own infrastructure - developers only need to adjust the training model, and computing power and data issues are solved by FLock.

In the above part, I mainly want to talk to you about where FLock's ecological niche is.

Secondly, you must use a combination of punches to make products.

FLock's combination punch is AI Arena, FL Alliance and AI Marketplace.

AI Arena is an AI training platform. AI developers come here to train AI and adjust models.

FL Alliance is a collaboration platform for data providers and AI developers. Data providers can provide privacy-protected proprietary data to AI developers to further optimize AI models.

AI Marketplace is a model hosting and trading platform. Simply put, AI Marketplace is a platform for a bunch of people to gather together to build, improve and use AI models.

Using the world view of martial arts to make an analogy, AI Arena is a place to add basic stats to your face, FL Alliance is a place to upgrade and learn martial arts, and AI Marketplace is a gang where everyone can discuss martial arts and learn from each other.

Through the above three sets, FLock's ultimate goal is to produce more and more high-quality AI models.

Currently, the total number of FLock tokens is 1 billion, and the initial circulation is 12.88%, as shown in the figure below. It will airdrop tokens to all participants of previous Flock products and test networks. Investors and teams are locked for 1 year.

The leading investor Faction has previously invested in protocols such as Lens and Puffer.

The more well-known investors include Animoca Brands, DCG, OKX Ventures, and GSR ($USUAL $MOVE market maker). DCG is the parent company of Grayscale. Currently, Grayscale's focus is also on AI. For example, Grayscale Research has just updated the Q1 Top20 tokens for 25 years, adding two new AI ecosystem tokens, $VIRTUAL $GRASS.

Finally, let me share my own opinion: I think the model of small balls driving big balls is very suitable for the AI ​​Agent track, such as AIXBT/VIRTUAL, SPORE/PHA. To predict whether an AI Agent infrastructure can take off, we must observe the performance of its ecological agent, that is, to drive the continuous growth of the parent project through the mindshare of the sub-projects in the market. Similarly, we can also apply this methodology to FLock - formulate an investment plan by observing the performance of FLock's ecological sub-projects.