Chainfeeds Summary:
L2's flagship projects are always a must-see.
Article source:
https://foresightnews.pro/article/detail/93356
Article Author:
Foresight News
Opinion:
Foresight News: The Metis team told the author that the launch of LazAI was not a spur-of-the-moment decision based on the AI hype. As early as the beginning of this year, Metis established a strategic focus on AI, and LazAI is its flagship product launched after nearly a year of intensive development. LazAI is not a pure AI application, nor simply an AI product with a token; rather, it's a network serving AI model training and applications. Creating a "Web3 + AI" application might not be a good choice. The current level of AI development is not yet sufficient to warrant combining it with Web3 at the application level, or rather, the direction of its application is not very certain. The reason for this is that the success of stablecoins and DeFi is due to the underdeveloped financial infrastructure in many countries or regions, leaving market gaps. In the short term, the author believes that Web3 will not gain much advantage in AI applications. However, the situation is completely different at the non-application level. Looking back over the past year or two, cloud service providers, including Alibaba Cloud and AWS, have integrated L2 or Alt L1 tools or products, including Sui, to varying degrees. This allows cloud service providers to offer more diverse options, and Web3 tools are often a more cost-effective choice. In my opinion, Metis's decision to launch LazAI, leveraging its L2 validation capabilities and speed, was a wise one. Furthermore, LazAI doesn't simply apply the Web3 concept; it's an original solution optimized both in terms of engineering and market fit. LazAI is designed to address the challenge of acquiring learnable data in the AI field. Currently, the Web3+AI projects we see, aside from x402, include computing power networks, AI Launchpad and other incentive models, as well as recently emerging projects that also focus on providing learnable data. From my perspective, the former two don't address real-world needs but rather use Web3 as a better platform for AI, while the latter's coverage is too narrow. LazAI, designed specifically for this problem, has created an original mechanism—hard-coded into the code logic rather than added on an ad-hoc basis—that allows contributors to continuously profit, ensuring their interests are protected. I learned from the team that LazAI's Alpha mainnet will not immediately launch its token. For developers with expertise who can contribute, as well as AI models and products, this presents both a rare opportunity to showcase themselves and a chance to monetize their capabilities through airdrops. Furthermore, LazAI will launch a developer incentive program for the Alpha mainnet with a total prize pool of 10,000 METIS, covering all stages from early prototypes to mature applications, and providing multi-layered ecosystem empowerment, including cross-social channel promotion and user growth funding pools. The challenges faced by general-purpose Ethereum L2 are becoming increasingly severe. Many projects choose to build their own L1 or develop application chains based on mature Rollups to pursue more customized performance. This forces L2 projects to reposition themselves and find new directions based on their own characteristics. I cite this example to illustrate that even though many L2 projects have chosen trading, prediction markets, and RWA tokenization, they have overlooked the fact that in the future, the operators of these applications may no longer be humans, but AI receiving human instructions. If the entry point to AI is missed, even numerous application chains will become mere laborers for AI, and Metis clearly recognized this problem a year ago. As I mentioned before, Metis has been implementing an AI-centric strategy since the beginning of the year. In March of this year, Metis announced its dual-chain strategy at ETHDenver. In addition to Metis itself, Hyperion, a high-throughput L2 blockchain optimized for AI applications, supports parallel execution and instant feedback. Furthermore, Hyperion is deeply integrated with the Metis SDK, supporting modular construction of application chains, and is positioned for high-frequency trading and real-time AI applications.
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