admin2 – Cultural Focus

As Movement Soars, DeAgentAI Prepares to Lead the Charge in the AI Agent Revolution On December 9, Binance made a major announcement: it officially listed Movement’s platform token, $MOVE. This move marks a significant milestone for Movement, propelling it onto top-tier centralized exchanges with remarkable speed. It has already secured listings on platforms that many projects can only dream of, including Coinbase and Upbit, making its success all the more impressive. There's no doubt that Movement is poised to become the “wealth code” of the next generation. As a public chain, Movement is on track to drive the growth of a vibrant ecosystem, much like SUI with Cetus and Base with AERO. But where does Movement’s own “Cetus” lie? In the author’s view, the answer can be found in the current trend: AI agents. And among them, DeAgentAI stands out as the clear leader. If Movement is the sleek, new jet fighter, then DeAgentAI is the escort plane, ready to take off as soon as the runway clears. DeAgentAI aims to create the first AI feedback mechanism protocol in Web3—proof through insight—solving the challenge of quickly implementing large models in specialized scenarios. Its goal is to become an aggregator of high-quality AI agents, using its indexing network to bring them together in one place. Interestingly, the development paths of AI in Web3 and Web2 aren’t as different as one might think. To simplify: – Web2: Basic Layer → Application Layer → Experience Layer – Web3: Decentralized Infrastructure → Community-driven Development → Ecosystem Integration The first wave of AI projects in Web3 was heavily influenced by Web2: ambitious narratives but few real-world applications. In reality, Web3, in its current state, is not yet capable of supporting fully decentralized AI infrastructures at scale, and this will likely remain true for at least the next two decades. Fully decentralized AI, under current technological constraints, is still a far-off dream. The second wave of Web3 AI projects took a different approach, often producing AI memes—lightweight, fun products that thrived on strong community engagement. These projects defied the lofty claims of the first wave, embracing an almost absurdist ethos that focused more on community spirit than technical rigor. While this approach brought freshness and excitement to the space, it can’t be a lasting solution. Eventually, AI must return to real utility, and that is where the rise of AI agents comes in. AI agents thrive in symbiosis with their ecosystems. Their applications—whether in managing investment portfolios, automating customer service, or executing complex smart contract audits—rely heavily on the underlying network's capabilities and maturity. The true frontier for Web3 AI lies in seamless ecosystem integration. It’s not just about building better agents; it’s about embedding them into a dynamic, interconnected environment….

As Movement Soars, DeAgentAI Prepares to Lead the Charge in the AI Agent Revolution

Journalism • admin2 • December 10, 2024

As Movement Soars, DeAgentAI Prepares to Lead the Charge in the AI Agent Revolution On December 9, Binance made a major announcement: it officially listed Movement’s platform token, $MOVE. This move marks a significant milestone for Movement, propelling it onto top-tier centralized exchanges with remarkable speed. It has already secured listings on platforms that many projects can only dream of, including Coinbase and Upbit, making its success all the more impressive. There's no doubt that Movement is poised to become the “wealth code” of the next generation. As a public chain, Movement is on track to drive the growth of a vibrant ecosystem, much like SUI with Cetus and Base with AERO. But where does Movement’s own “Cetus” lie? In the author’s view, the answer can be found in the current trend: AI agents. And among them, DeAgentAI stands out as the clear leader. If Movement is the sleek, new jet fighter, then DeAgentAI is the escort plane, ready to take off as soon as the runway clears. DeAgentAI aims to create the first AI feedback mechanism protocol in Web3—proof through insight—solving the challenge of quickly implementing large models in specialized scenarios. Its goal is to become an aggregator of high-quality AI agents, using its indexing network to bring them together in one place. Interestingly, the development paths of AI in Web3 and Web2 aren’t as different as one might think. To simplify: – Web2: Basic Layer → Application Layer → Experience Layer – Web3: Decentralized Infrastructure → Community-driven Development → Ecosystem Integration The first wave of AI projects in Web3 was heavily influenced by Web2: ambitious narratives but few real-world applications. In reality, Web3, in its current state, is not yet capable of supporting fully decentralized AI infrastructures at scale, and this will likely remain true for at least the next two decades. Fully decentralized AI, under current technological constraints, is still a far-off dream. The second wave of Web3 AI projects took a different approach, often producing AI memes—lightweight, fun products that thrived on strong community engagement. These projects defied the lofty claims of the first wave, embracing an almost absurdist ethos that focused more on community spirit than technical rigor. While this approach brought freshness and excitement to the space, it can’t be a lasting solution. Eventually, AI must return to real utility, and that is where the rise of AI agents comes in. AI agents thrive in symbiosis with their ecosystems. Their applications—whether in managing investment portfolios, automating customer service, or executing complex smart contract audits—rely heavily on the underlying network's capabilities and maturity. The true frontier for Web3 AI lies in seamless ecosystem integration. It’s not just about building better agents; it’s about embedding them into a dynamic, interconnected environment….

Author: admin2