Grayscale announced some decentralized artificial intelligence projects that have been included in the fund, including TAO, FIL, LPT, NEAR and RNDR.
When Ripple was investigated, I also wrote an article "Unexpectedly, Ripple caused a storm, how can we know that Grayscale is not a leek"
Considering Grayscale's historical choices, I am a little speechless. Brother Feng, I will try to add some more
First,#ASIis a merger of FET, AGIX and Ocean.
Brother Feng believes that after the merger, it will probably be the leader in AI.
Fetch.ai (#FET): A market for AI development tools. AI developers provide AI agents (i.e. AI modules) in the form of APIs, etc., and other developers can integrate AI agents in their own applications. It can be understood that it is mainly a market for AI modules.
#SingularityNET(#AGIX): A blockchain-based AI product market, any AI application that can be created, shared and traded. It can be understood that it is mainly a market for AI applications.
#Ocean: A decentralized data exchange protocol, such as data on scientific research, medical care, finance and content creation. The demand side of these data includes AI programs. It can be understood that it is mainly the market for AI data.
These three AI platforms have similarities, but they also have different focuses. After the merger, a comprehensive platform for AI from data, modules to applications may be formed.
FET's current market value ranks second in the AI sector, and FET and AGIX were once the first in the AI sector. Brother Feng once said that they watched the two compete for the lead, but they merged.
Second,#Bittensor(#TAO) I have a general impression of this project. First of all, its blockchain is developed based on substrate, which is developed by #Polkadot.
Secondly, its concept is to establish subchains in the ecosystem, each subchain is a type of AI resource, providing resource sharing for AI.
However, in traditional programs, data is stored in the database, and algorithms are stored in the form of program files. At this time, data can be shared. However, for AI programs, data and programs are written together in the AI model. The amount of data in the AI model is large, and it is difficult to write it into the blockchain. Therefore, I personally feel that Bittensor's AI resource sharing is more gimmicky than practical.
It is possible that AI resources are still on the chain, and the purpose of the chain may be TAO token incentives...
Third,#Depin+AI, this sector must be strong. Currently#RNDRis the leader.