In 2025, the decentralized AI track completely exploded, with various AI + blockchain projects emerging endlessly, and the community was full of voices saying 'the AI track will disrupt the cryptocurrency circle.' Many newcomers blindly followed suit and ended up losing badly. I started with a capital of 50,000, accurately positioned in quality projects, and earned 800,000 in less than half a year. Today, I will share with you the three core standards I use to filter decentralized AI projects, so that after reading, you can enter the market with at least two years less detours!
The decentralized AI track has great prospects, but it is mixed with both good and bad projects, many of which are 'hype-driven' air coins. When I first started paying attention to this track, I also fell into a trap and blindly bought a project that claimed to be a 'decentralized computing power network,' only to find that the project had no real computing power resources at all, just relying on a white paper to paint a picture, and I ended up losing more than 20,000. Later, I understood that when choosing decentralized AI projects, one should not only look at the concept but also the core competitiveness.
After continuous summarization, I have distilled three core standards for selecting decentralized AI projects, which beginners can follow to accurately avoid pitfalls:
First, look at the technical architecture. The core of decentralized AI projects is technology, so pay close attention to whether the project's computing network is real, whether the data market has high-quality data, and whether the AI model is innovative. Quality projects will publicly share their code on GitHub, have an active developer community, and regularly publish technical progress; while air coins will only hype concepts, either keeping their code private or plagiarizing others.
Second, look at application scenarios. A good project must have real application scenarios that can solve actual problems. For example, some projects focus on providing decentralized AI reasoning services, offering low-cost AI computing power for small and medium-sized enterprises; some projects build decentralized data markets that allow data contributors to receive fair returns. Those projects without clear application scenarios that just shout 'AI + blockchain' slogans must be avoided.
Third, look at the token economic model. The token economic model is the soul of the project, so pay attention to the token's use, distribution mechanism, destruction mechanism, etc. Quality projects' tokens will have real application scenarios, such as paying for computing power fees, participating in governance, incentivizing nodes, etc., and the distribution mechanism is fair, without a large number of tokens being hidden by the project party; while the tokens of air coins have no practical use, they are just tools for speculation.
My view is: decentralized AI is one of the core tracks of the cryptocurrency world in the future, but its development takes time and is still in the early stage, with risks and opportunities coexisting. New investors in this track must remain rational, avoid blindly following trends, and choose projects that have core technology, real application scenarios, and high-quality teams. Moreover, pay attention to position management, do not invest all funds in one track, but diversify to reduce risk.
Tomorrow I will talk to you about 'how to use the fear and greed index to determine market bottoms and tops', teaching you to accurately grasp buying and selling opportunities. Follow me, and I will help you see through the underlying logic of popular tracks in the cryptocurrency world, ensuring you get on board accurately when the opportunity arises and achieve wealth reversal. After all, in the cryptocurrency world, choosing the right track is very important, but choosing the right project is even more important. Follow me, and you will avoid pitfalls and make more money!
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