Original title: "AI Narrative Continues to Heat Up, What Other Unreleased Coin Projects Are Worth Paying Attention To?"
Original source: Deep Tide TechFlow
AI has become the mainstay of today's technology industry, and the integration of AI and cryptocurrency has become the focus of capital pursuit. Autonolas (token Olas), an AI-based oracle, has risen by 559.3% in the past month, while Tau (token AGRS), a public chain focused on AI with its own logical programming language, has seen an astonishing increase of 2560.0% in the past month.

These numbers not only represent the prosperity of the market, but also reflect the potential opportunities at the intersection of AI and cryptocurrency. Perhaps this sector will become a new gold rush for investors.
This article will focus on projects that have not yet launched their coins in this industry, in search of early Alphas.

io.net is a decentralized computing network that supports the development, execution, and scaling of ML (machine learning) applications on the Solana blockchain. It utilizes the world's largest GPU cluster to allow machine learning engineers to access distributed cloud computing power at a fraction of the cost of centralized services.
Existing centralized cloud computing services pose the following problems for engineers:
·Limited availability, popular GPU models are often unavailable.
·There are too few choices in terms of GPU hardware, location, security level, and latency.
·Good GPUs are very expensive, and projects can easily spend hundreds of thousands of dollars a month on training and inference.
io.net aggregates GPU resources from underutilized sources such as independent data centers, crypto miners, and encryption projects like Filecoin and Render to solve this problem. These resources are combined in a decentralized physical infrastructure network (DePIN), allowing engineers to access more GPU computing power at a lower cost.
io.net offers three products to enable users and computing power providers to participate in this process and enhance the user experience:
IO Cloud
is a page for deploying and managing decentralized GPU clusters. Here, users can access a central hub for various functions, such as deploying clusters, browsing the GPU Marketplace, quickly monitoring operations, and getting started.
IO Cloud is also a place for users to run AI/ML applications. It seamlessly integrates with IO-SDK to provide comprehensive solutions for extending AI and Python applications.

IO Worker
Provide users with real-time insights into their calculations, offer operations and bird's-eye views of devices connected to the network, allowing them to monitor these devices and perform quick actions such as deleting and renaming devices. In addition, IO Worker also has features for monitoring computing activity, real-time data display, temperature and power tracking, installation assistance, wallet management, security measures, and profit calculation.

IO Explorer
Provide a window to understand the internal operation of the network, and offer users a comprehensive overview of statistics and GPU cloud aspects. The statistics include network activity, important statistics, data points, and complete visibility of reward transactions.

Token Economy
IO is the native token and protocol token of the io.net network in the encryption industry. The main utility of the token lies in two aspects:
·IO will serve as the primary payment method within the io.net ecosystem, such as for paying deployment fees for GPUs. Additionally, every model deployed on io.net must undergo a small IO transaction for inference.
·IO token is used as a reward for GPU contributors.
The goal of this network at launch is to distribute 500,000 tokens per month, with a plan to halve this amount every two years. The maximum supply of IO is 22,300,000 tokens.
The IO token is expected to be launched in the first quarter of 2024.


BP-FLAC is an abbreviation for "Blockchain-Powered Federated Learning Artificial Intelligence", a generative AI infrastructure public chain. The project aims to aggregate and distribute GPU node computing power through blockchain technology for AI training.
In order to protect data from different computing contributors (miners), BP-FLAC uses zk-SNARK algorithm to solve the data privacy issue in AI training, and provides token rewards for users who provide computing power support.
BP-FLAC network consists of a hybrid blockchain model that includes both public and private chains.
The public chain adopts the PoC consensus mechanism, and miners contribute computing power (GPU resources) to help train AI models and receive corresponding rewards.
Private chains adopt the PoS consensus mechanism, where staking nodes verify transactions and participate in protecting the network to obtain staking rewards. The more tokens staked, the higher the rewards received.






Kaito is an AI-powered Web3 search engine that aims to revolutionize cryptocurrency research and investment through the use of AI.
For retail investors, the methods of obtaining information are extremely scattered and disorganized. The information indexing of Web3 also lacks native support for search engines, making it easy to be limited by traditional searches represented by Google. To solve this pain point, Kaito has emerged.
Kaito's search engine uses the Auto GPT framework and multiple ChatGPT backends to build a proxy network that can handle various tasks, including search, information processing, data cleaning, and labeling, with the aim of providing higher quality Web3 information services. In addition, Kaito will also use AI to optimize its search engine through ranking, topic mining, personalization, recommendation, speech-to-text transcription, and AI-generated content.
MetaSearch is Kaito's main product. With MetaSearch, users can search all platforms in the encryption field with just one click, including: Twitter, Discord, governance forums, Mirror, Medium, etc.
Through MetaSearch, users can enjoy the following advantages:
·Search for any cryptocurrency, topic, or trend in seconds to get real-time insights;
·Reduce the time wasted on manual research by using specially curated Twitter searches designed for Web3.
·Identify narratives early through social signals;
·With AI, any technical documents and papers from users can be answered instantly.
Currently, the basic version product is priced at $129, with a monthly cost of $99 when calculated annually.

On June 22, 2023, Kaito completed a Series A funding round of $5.5 million, with a valuation of $87.5 million. The round was led by Superscrypt and Spartan.
Token Economy
Currently, there is no specific token information available for this project. Please stay tuned to its official website for the latest updates.

Aethir is a real-time rendering network designed for gaming and artificial intelligence. Its cloud services and rendering technology ensure that gamers can experience ultra-low latency on any device, anywhere.
Aethir is a cloud gaming platform that serves as the primary location for its services. Behind the Aethir cloud gaming platform is a large and stable distributed computing node network, allowing games to run directly in the cloud. As a result, players can enjoy high-quality and seamless gaming experiences on any device without the need to download anything.
For game developers, they can use Aethir to quickly deploy and launch their games online without going through complex development and adaptation processes.
Within the Aethir platform, "games" are considered a collection. Within this collection, multiple "game versions" can be created. For each version within the "games" collection, users can submit, modify, or delete game adaptation services. Therefore, Aethir's cloud platform not only allows developers to seamlessly implement updates, but also ensures the synchronization of all users' game versions.
Aethir's cloud platform also solves the problem of rampant piracy in the gaming industry.
In traditional games, piracy has always been a thorn in the gaming industry's side, but with Aethir, this problem is easily solved. This is because the game is executed on cloud servers instead of on the user's device, and the user cannot access any game files, thus eliminating almost all forms of traditional game piracy.

As Arthur Hayes said, Aethir is meaningfully expanding the potential market for games and other streaming content in the fastest-growing (but hardware-limited) market globally. With Aethir's expansion, everyone will benefit - gamers, publishers, and globally distributed rendering node operators, etc.

Aethir's audience is not limited to players within the Web3 industry, but includes players from all industries around the world.
On July 27, 2023, Aethir completed a Pre-A round of financing of $9 million with a valuation of $150 million, led by investors such as Sanctor Capital, Hashkey, Merit Circle, and CitizenX.
Token Economy
Currently, there is no specific token information available for this project. Please stay tuned to its official website for the latest updates.

Ritual is an AI-based sovereignty execution layer. Their vision is to enable developers to build fully transparent DeFi, self-improving blockchains, autonomous agents, and content generation through Ritual.
Infernet is the core suite of Ritual, essentially a lightweight library that brings computation onto the chain. Its main application is to provide services for ML inference workloads. Users can build and host ML models, deploy them to Infernet nodes, and create subscriptions to use the inference output of on-chain smart contracts and optional succinct proof of execution.
Infernet SDK can be used for integration between Web3 and AI functionalities, such as data preprocessing and training, model support (scikit-learn, HuggingFace), verification (zero-knowledge proofs, Optimistic Fraud proofs), various open-source zk libraries, data hosting and sourcing, and more.
By flexibly applying the Infernet SDK, developers can integrate artificial intelligence models into their own protocols, applications, or smart contracts. This allows developers to fine-tune, monetize, and reason about models using encryption solutions.

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