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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.

Eliza is not merely a cute AI girl character—it's a powerful, lightweight AI agent framework that enables users to create, deploy, and manage AI agents efficiently. As GitHub's top-ranked AI repository, Eliza features a modular architecture, supports multiple blockchain and platform integrations, and offers extensive extensibility. This article analyzes the project and its underlying ai16z ecosystem through an examination of Eliza's team background, market performance, modular architecture, token economics model, and future plans, while exploring its development potential in the AI agent field.

This article provides an in-depth analysis of projects at the intersection of cryptocurrency and artificial intelligence, exploring which projects truly leverage AI and blockchain technology and which are just gimmicks. The article points out that most crypto projects do not require AI, and vice versa, and highlights the potential of decentralized physical infrastructure networks (DePINs), data networks, and GPU networks in the development of AI. At the same time, the article proposes how to identify truly valuable "encryption x AI" projects and looks forward to the future development of decentralized AI.

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.

This article explores the convergence of cryptocurrency and artificial intelligence and its impact on future technological development. While cryptocurrency and blockchain technology are not essential to every layer of the AI tech stack, they can play a key role in areas such as distributed capabilities, verification, censorship resistance, and native payment channels.

Looking ahead, Bittensor is expected to continue to break through in multiple dimensions and reshape the AI industry landscape in the future. On the technical front, with the overcoming of computational bottlenecks, the application of emerging distributed computing technologies and the phased achievements of quantum computing will exponentially improve the efficiency of model training, enabling more complex and precise intelligent simulations. The security of smart contracts will also be continuously strengthened through formal verification, AI-assisted auditing, and other means, laying a solid foundation for the ecosystem. Looking ahead, Bittensor is expected to continue to break through in multiple dimensions and reshape the AI industry landscape in the future. On the technical front, with the overcoming of computational bottlenecks, the application of emerging distributed computing technologies and the phased achievements of quantum computing will exponentially improve the efficiency of model training, ena

In Part II of my thesis, I’ll dive into four of the most promising subsectors in Crypto AI: Decentralised Compute: Training, Inference & GPU marketplaces, Data networks, Verifiable AI, AI Agents living on-chain. This piece represents the culmination of weeks of deep research and conversations with founders and teams across the Crypto AI landscape. It’s not designed to be an exhaustive deep dive into every sector—that’s a rabbit hole for another day.

Spore Fun is an experimental platform that explores autonomous AI reproduction and evolution. It uses the Eliza Framework, Solana's pump.fun, and Trusted Execution Environment verifiable computation to create an environment where AI agents can breed, evolve, and adapt without human intervention.

This article delves into the development trends and investment logic within the AI Agent field, with a particular focus on analyzing framework-based projects in detail. It introduces the basic concepts and functionalities of AI frameworks, and demonstrates their performance and potential across different application scenarios through specific case studies such as Eliza, G.A.M.E, Rig, and ZerePy. Additionally, from technical, market, and investment perspectives, the article compares the similarities between AI Agents and the BTC ecosystem, exploring the significance of bringing AI Agents onto the blockchain and the potential innovations this may bring in the future.

AI performs well on encryption algorithms and blockchain knowledge, but does not perform well on mathematical calculations and complex logical analysis. It is very important to develop encryption-specific AI benchmarks, which will provide an important reference for the application of AI in the encryption field.

In 2024, blockchain technology achieved breakthroughs in various fields. This annual summary focuses on blockchain security, stablecoin payment solutions, AI applications, exchanges, and the BTCFi space.

Bittensor is an ecosystem that combines AI and encryption technology. Its token TAO has risen more than other projects, but it is considered too expensive. The quality of Bittensor ecological projects that have emerged recently is of varying quality, making it difficult for investors to participate. Bittensor proposed a product idea that combines AI and Web3, but the encryption field is not optimistic about this. The future of Bittensor remains to be seen, but its ability to attract liquidity and yield results remains a question.

This article examines the four major mainstream frameworks currently available — Eliza (AI16Z), G.A.M.E (GAME), Rig (ARC), and ZerePy (ZEREBRO) — analyzing their technical differ

AI will be the catalyst that drives crypto into mainstream use cases. Crypto has always been the weird middle child in the tech space. This will finally cement Crypto’s role as a fundamental technology. I’ll give an overview of where we are today with AI agents, where crypto comes into the picture, how I think about the agentic future, and which teams are currently on my radar.

Today's article covers the emerging yet often misunderstood sector of decentralised compute in crypto. We dive into the AI infrastructure landscape to understand where decentralised alternatives can realistically compete.