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GM.AI is the most advanced AI solution focused on the Solana ecosystem. It can deeply understand and flexibly operate various applications on Solana, providing users with highly automated on-chain services. By simplifying complex DeFi processes, GM.AI significantly enhances the user experience on the Solana platform, making it more convenient and efficient.

Gate Research: This week, FogoChain, Hyperlane, CESS Network, Gomble Games, and Krain AI present new opportunities for users to engage with the Web3 ecosystem. FogoChain is built on the Solana Virtual Machine and enhances transaction performance through the Firedancer client and multi-consensus mechanisms, with a points campaign now launched. Hyperlane supports cross-chain communication with a modular security architecture, and users can claim an airdrop of its native token HYPER. CESS is building a decentralized storage network using CD²N and PReT technologies, with points available through social tasks. Gomble, as a Web3 casual gaming platform, offers eligibility for GM token airdrops to users who complete a quiz. Krain AI is a platform focused on the AI agent ecosystem and has launched a points campaign with tokens to be redeemed in the future.

This article delves into the impressive performance of Jupiter Perps on the Solana network, which serves as a deep liquidity source for perpetual contract trading, reaching a trading volume of $100 billion. It also analyzes the operational mechanisms, revenue model, and impact of Jupiter Perps on the DeFi space.

Gate Research Daily Report: September 6, in the past 24 hours, BTC fell by 0.28% and ETH dropped by 0.81%, with the market continuing to fluctuate. As the broader market declined, altcoins also saw a drop, though some tokens rose due to positive news. U.S. August ADP employment data came in at 99,000, well below the expected 145,000, marking the smallest increase since 2021. The decentralized derivatives protocol GMX launched its liquidity vaults (GLV) to enhance capital efficiency and increase returns for liquidity providers. Additionally, four projects announced public funding rounds, raising a total of over $36 million.

This article introduces Memeland and its ecosystem.

This article explores the integration of artificial intelligence and blockchain technology in the decentralized finance (DeFi) sector and its potential. Through an analysis of smart DeFi protocols such as Fyde Treasury and Mozaic Finance, the article demonstrates the application of AI in fund management and risk assessment. It also discusses the challenges AI faces in DeFi, including decentralization and scalability issues, and introduces zero-knowledge machine learning (zkML) technology, explaining how it helps address the challenges of applying AI in blockchain.

This article delves into strategies for building a loyal user base in the crypto space, sharing five key takeaways from a roundtable discussion with Monad and Optimism. It emphasizes the pivotal role communities play in ecosystem growth, the importance of early-stage community building, and how incentives and culture can retain users. The article also explores trust promotion within the community and implementing human-centred onboarding strategies.

The Bitlayer ecosystem has grown to include over 100 decentralized applications, ranking second in TVL among Bitcoin chains, just behind the Merlin chain. This article will detail some of the key partner projects involved in this initiative, which form an important part of Bitlayer’s total TVL, user base, and activity.

Explore the SPELL token, its role in Abracadabra.money's DeFi ecosystem, tokenomics, and how it unlocks liquidity with MIM loans and farming incentives.

Pioneered by EigenLayer, Actively Validated Services (AVS) represent an innovative approach to blockchain security, leveraging the economic security of Ethereum's PoS consensus through restaking. This article delves into the operational mechanisms of EigenLayer AVS, examining its implications within the broader context of omnichain restaking. In this omnichain landscape, the AVS ecosystem is characterized by increasing diversification and competition. While challenges such as technical maturity and security risks persist, AVS promises to become a cornerstone of secure and trusted blockchain infrastructure, driving the growth of the crypto market. This paper offers a comprehensive analysis, providing readers with an in-depth understanding of the AVS ecosystem.

This article explores the complexities and challenges of yield farming in DeFi, focusing specifically on PnL calculation and reconciliation. It highlights the evolution of DeFi farming, showcasing new strategies and protocols such as Pendle, which offers innovative yield tokenization through Principal Tokens (PT) and Yield Tokens (YT). The article explains how these strategies provide both fixed and variable yield exposure and stresses the importance of specialized tools for tracking and calculating returns from yield farming.

This article aims to understand the interconnectivity among various institutions in the market, starting with the SEC-Grayscale case and the development history of BTC ETFs.

The article provides an in-depth analysis of the current state and future trends of application-specific blockchains, exploring their relationship with dApps, technical challenges, economic mechanism design, and market performance. It emphasizes the significance of these application chains in areas such as DeFi, gaming, social media, and artificial intelligence. The discussion also covers strategies for building successful application chains by establishing application barriers, promoting high-frequency transactions, and optimizing user experience. Additionally, the article offers valuable insights into token economic model design and investment analysis.

Why certain public chains buzz with lively activity and an abundance of meme tokens, while others dwindle into ghost chains, notably after an airdrop?

In this article, VC investor Marco Manoppo reflects on his story with Virtuals Protocol, sharing how he initially connected with the founding team and how, as a venture capitalist, he missed out on his first 100x opportunity. He also provides predictions on the future trends of AI.