AI

This article explores combining artificial intelligence (AI) with decentralized autonomous organizations (DAOs) to innovate decision-making and organizational growth. It details the applications of AI in different DAO governance models such as direct democracy, representative democracy, and liquid democracy, as well as how it optimizes smart contract automation and community management.

Bittensor is a crypto and AI narrative project aimed at democratizing the construction of artificial intelligence use cases through an open P2P marketplace. The Bittensor ecosystem comprises 32 subnets, attracting numerous prominent teams and projects. Its DeFi ecosystem is also rapidly expanding, encompassing applications such as staking, token sales, and lending, and involving multiple subnets in the DeFi space, such as liquidity staking, borrowing, and perpetual DEX. This underscores its genuine potential for growth.

The article delves deeply into the commercial necessity of combining AI with Web3, emphasizing the importance and challenges of distributed computing power services. It pays special attention to the IO.NET project, a distributed AI computing power platform, aiming to incentivize the convergence of AI computing power through a token model, providing flexible, rapid deployment, and low-cost AI computing services. The article analyzes the product logic, team background, and financing situation of IO.NET, and it also forecasts its potential market value. Additionally, the article discusses the development trend of the distributed computing market and possible influencing factors.

In2024, the landscape of cryptocurrency will be increasingly influenced by artificial intelligence (AI), with several coins standing out for their innovative use of this technology.

Cobo co-founder and CEO Shenyu shared an interesting retrospective of early Bitcoin miners with the participants, discussed the various challenges faced by miners venturing overseas, and shared his views on BTC Layer 2 and AI, along with Cobo's strategic positioning in these areas.

The article describes in detail how Masa Network implements various businesses in a decentralized manner, serving the entire AI developer ecosystem, including "Web2+Web3." Masa optimizes data collection, contribution, and value transformation to help AI access a wider, more diverse, and decentralized array of data sources. At the same time, data contributors can receive their fair share of profits while also ensuring privacy protection.

This article delves into three promising crypto AI projects: Bittensor, Ritual, and Virtual Protocol. Bittensor aims to enhance algorithmic collaboration through a blockchain network, creating a marketplace for shared algorithmic knowledge. Ritual offers a sovereign execution layer that is open and modular, allowing for the hosting and verifiable computation of AI models. Virtual Protocol focuses on developing AI characters for virtual worlds, prioritizing user engagement and immersive experiences. The article evaluates their market performance, technical features, team backgrounds, and prospects, assessing their potential and challenges in the crypto AI sector.

This article will explore the future development of AI and cryptocurrency, as well as explore investment opportunities, through seven modules: computing power cloud, computing power market, model assetization and training, AI Agent, data assetization, ZKML, and AI applications.

The article discusses the progress of the Arweave AO Hyper-Parallel Computer's self-testing network a month after its launch. As an essential part of the Arweave ecosystem, AO has attracted over 3,000 developers for its construction and resulted in numerous applications based on AO. The launch of AO has led to Arweave being viewed as a potential competitor to Ethereum and even considered as the computational layer for AI. The article provides a detailed introduction to AO's network profile, ecosystem projects, development tools, and significant events, including the release of the technical document Cookbook, the launch of the test network token $CRED, online hackathons, and the AO memecoin introduced by the community. The development of AO brings new possibilities to the blockchain world, especially in AI applications.

This article will organize the key information of the AI decentralized computing project: the IO.NET project, including product logic, competitive situation, and project background. It also provides valuation estimations, analyzing the valuation from different perspectives through data analysis, and offering a reference calculation for valuation.

io.net is a decentralized computing network that supports the development, execution, and scaling of ML applications on the Solana blockchain. It combines a million GPUs to form the world's largest GPU cluster. DePIN.io.net aggregates underutilized resources such as independent data centers, crypto miners, and GPUs from crypto projects like Filecoin and Render to solve this problem.

The Bittensor ecosystem has strong inclusivity, a competitive environment, and effective incentive mechanisms. The article provides a detailed introduction to Bittensor's planned upgrade mechanisms and subnetwork introductions, encouraging effective competition to promote high-quality artificial intelligence products.

AI provides computing power and forms intelligent network application scenarios, while blockchain/Web3 establishes order for AI (intelligent networks). However, is DePIN ready for this?

Aethir offers a groundbreaking yet highly feasible solution to tackle this complex global issue. Our network aggregates and intelligently reallocates new and idle GPUs from enterprises, data centers, cryptocurrency mining operations, and consumers.

This article delves into Fluence DAO, a decentralized serverless computing platform focused on providing the physical infrastructure for AI applications. Fluence incentivizes a distributed server market through its token FLT and has received support from prominent investors such as Multicoin Capital. The project has introduced a unique programming language, Aqua, and a tool named Marine, ensuring the quality and auditability of computational resources. The tokenomics of Fluence are designed to reward developers and computing providers, driving the development of the decentralized computing market. The background of founder Tom Trowbridge and the project's long-term cultivation add confidence to its potential in the DePIN track.