AI is our key track for this cycle. Whether it is TAO launched on Binance or IO, which is about to issue a coin, it declares that AI narrative will take over the future. The project layernet_ai that I want to share today has killer technology and team. It is built on the SOL chain, combines AI+DEPIN, creates an open market to increase GPU adoption, and brings a paradigm innovation of Web3+ AI while bringing huge profit opportunities to users!
Messari predicts that Web3+AI will reach a trillion-dollar scale in 2030. Currently, many excellent AI computing power projects have emerged in the market. They use blockchain technology to redistribute computing power, effectively solving the problem of computing power shortage under the rapid development of AI, and providing a low-cost and efficient option. However, most projects are aimed at AI developers, ignoring end users, resulting in the actual computing power utilization rate of less than 10%.
The following figure shows the growth of computing power demand
There is a significant problem with the current Web3+AI projects, that is, most of them aim to provide computing power support for Web2 AI usage scenarios, and use airdrop expectations to attract a large supply of GPU computing power, while the AI developers they target need The computing power is currently far below the provided value, resulting in an imbalanced market between supply and demand. Due to object-oriented limitations, the original intention of maximizing the use of computing power cannot be truly realized. @layernet_ai has filled this market gap very well.
The mission of layernet_ai is to make the use of AI more efficient and democratic. Just like LayerZero in the AI field, it allows computing power providers#IOto intelligently match computing power users #TAO. It creates an open AI ecosystem, merges existing decentralized computing power resources, and automatically optimizes and improves computing power utilization. Users can achieve AI mining (including Bittensor and other projects) or ZK chain mining (Aleo, etc.) with just one click. As shown below
The main participants of the layernet_ai ecosystem are:
1. Builders: Build AI-based DAPPs, L1 nodes, mining infrastructure, etc. and participate in the generation of ZK proofs on the ZK chain by utilizing excess GPUs.
2. Users: Contribute idle computing power to get rewards, or directly purchase built DAPPs, L1 nodes, etc. through tokens, and purchase ZK certificates to participate in ZK chain mining activities to get rewards.
3. AI researchers: Enable easy deployment of AI models.
Its ecosystem consists of three layers:
-Dapp layer: Use decentralized AI computing power to build Dapps and act as a bridge between AI developers and end users
-AI Network Layer: Provides a full set of AI tools on Solana, enabling efficient and low-cost on-chain data processing to support the growing AI computing needs in the ecosystem
- Economic architecture layer: Provide token incentives for developers and users to ensure the sustainability of the ecosystem
Compared with other web3+AI projects, @layernet_ai has the following innovations and advantages:
-Users can directly use the constructed ZK proof to easily participate in ZK chain airdrop activities
- Utilize idle GPU resources to run optimized AI models
- Cooperate with L1 public chain to provide node operation and verification services, so that users can participate in the airdrop activities of emerging public chains without any barriers
- Provide open source AI models so that developers can easily build AI-driven applications
Recently, layernet_ai has partnered with PublicAI_, a decentralized marketplace for human AI annotations with its own AI training models, and just today, with PaalMind, an advanced AI ecosystem built with custom data sources and LLMs, to further enhance AI data infrastructure and bring more efficient AI solutions!
An airdrop event not to be missed: layernet_ai recently launched an event on Galxe. Simply complete any of the following on Twitter, join the DC community, and forward tweets to earn points. There is a high probability that you will receive an airdrop later!
Let's talk about the team of layernet_ai. The team members have diverse backgrounds and are all focused on AI and machine learning. The core members come from institutions such as Google Cloud, as well as Cambridge, Imperial College London, and the University of Tokyo. The lineup is quite gorgeous! Alex, the head of strategy and business, has in-depth cooperation with well-known institutions such as Jump Crypto and Bybit.
About market value: among similar projects
DEAI's FDV is $700 million.
TAO's FDV is $10.36 billion.
IO's institutional round of financing is valued at $1 billion.
This provides a lot of room for imagination for layernet_ai, which fills the current vacancy in the AI project market. It is worth looking forward to.
Summary: layernet_ai is a Web3+AI project that truly focuses on end users. It can effectively solve the problem of low utilization in the field of AI computing power, allowing users to easily mine AI tokens and ZK chains, and provide open source AI models to achieve easy construction and deployment of AI-based Dapps. The project effectively solves the pain points of current AI and can bring huge benefits to ordinary users. Let us look forward to its explosive potential in the future!
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