Looking for the next dark horse in the AI ​​​​trac

Written by hitesh.eth

Compiled by: Deep Wave TechFlow

introduce

AI coins will perform strongly in this bull market. In the next few months, the entire AI sector will be flooded with more than 100 AI coins.

90% of AI coins will not last long. Therefore, you need to find those other 10% AI coins that can help you get a 100x ROI.

We need to find the logical framework for the next artificial intelligence coin with excess returns, which is described in detail below.

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Artificial intelligence is a technology that will disrupt almost every industry, including Web3.

So one aspect of the AI ​​use case is building tools and applications that can help crypto people make more money.

This aspect of things has yet to be explored, and it's an area you should pay close attention to.

You want to look for projects that allow retail users to easily complete complex trading and investment-related tasks.

DeFi Farming is something everyone wants to do, but due to its complex nature, not everyone understands the various DeFi strategies.

I think that in the near future, AI-trained models will be heavily used in this field.

Mozaic is a typical project that applies artificial intelligence to DeFi Farming; we will definitely see better projects than them in the future.

Special recommendation: @Mozaic_Fi

Official website: https://mozaic.finance/

There are also projects like PAAL AI, which helps you build chatbots, and projects like AEGIS AI, which helps you screen cryptocurrency for security.

You need to focus on this type of infrastructure that helps developers build different types of AI applications (mainly bots).

Now, let’s talk about another aspect of AI, where blockchain is used to improve the efficiency, cost, and privacy of AI/machine learning.

We can call it the decentralized infrastructure sub-sector, which mainly involves some promising use cases such as decentralized artificial intelligence/machine learning, computing, ZKML.

Decentralized AI/ML platforms like Bittensor are a leading example, allowing AI researchers to build different applications based on the LLM models they create.

Developers can monetize their applications and the entire economy is powered by the $TAO token.

A few months ago, TAO had a market capitalization of $200 million, and now its market capitalization exceeds $4 billion.

It rose mainly during bear markets, so most people missed the move entirely and now they are craving the next TAO.

If you're tracking the next big decentralized AI infrastructure project (like TAO), this is what you want to look for: LLM model performance.

Bittensor partnered with Cerebras last year to build a state-of-the-art lightweight LLM model, and they became a hot topic in the artificial intelligence community.

It was a breakthrough success that validated their technology.

They have built a great community focused on sharing and explaining all the complex fundamentals of a project.

Therefore, the next $TAO should gain similar validation from the AI ​​community, and they need to have a cult following.

If they can get strong support from top investment institutions, it is possible to establish partnerships more quickly and create network effects.

Therefore, also pay attention to VC-funded AI projects such as Ritual and gensyn.

Ritual

Twitter: @ritualnet

Official website: ritual.net

Revisit

Twitter: @gensynai

Official website: gensyn.ai

We covered the basics of AI/ML, now let’s talk about computing. Among them, Akash Network and Render Network are industry leaders.

Both run a decentralized GPU marketplace where you can rent GPUs to earn token revenue.

GPU configuration and the cost of using GPU infrastructure will be the deciding factors for this sub-segment.

There are some new projects like io.net that will enter the market.

They are partnering with Render, Solana, and Filecoin to aggregate GPU resources to dominate the market. So keep an eye out for them too.

Additionally, another sub-sector that I believe will be the next big thing is ZkML. Click here to read more of my account of ZkML.

I think this is an observation I would like to make about all these existing and upcoming AI projects, thank you for reading.

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