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Hi, I'm an enthusiast and hodler of the BAND project.

I bring information about some projects to a community of people who are opening their eyes to the crypto world.

I follow partnerships and users of oracle services, and I noticed that new partnerships were signed in this bearmarket.

I would like to hear from the BAND team about the news that we can expect for the next few years, or perhaps for the next few weeks.

How is the team facing the difficulties of the bearmarket? And how does the team hope to tackle the industry's leading project, LINK?

Do you believe that innovations in the BAND protocol are possible to face closer competitors such as UMA and DIA?

What innovations or tools can we expect from this protocol for this new cycle that is approaching?

Are artificial intelligence tools concrete possibilities to offer a better service at a more attractive cost?

Thank you for your attention! And I look forward to the positive feedback.

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We have defined our strategic plan for the upcoming year and are diligently executing tasks aligned with that vision. However, it is against our policy to reveal any news prior to an official public announcement, so we encourage you to stay tuned to our socials for the latest information. Despite the fluctuations in the market, be it bearish or bullish, we remain committed to innovation and the expansion of our partnerships. Our core mission is to develop groundbreaking tools and solutions that are essential for the Web 3.0 ecosystem. Our website here https://www.bandprotocol.com/offers comprehensive information about the products/tools we have developed and are currently working on. In the context of competition with projects like LINK, UMA, and DIA, it is a standard practice for organizations to consistently enhance and refine their protocols to maintain a competitive edge. At Band, we are steadfastly evolving and optimizing our approach to meet the ever-increasing demands of the industry. Incorporating AI into Oracle services, such as Band, presents a unique set of hurdles, including heightened complexity, potential security threats, and a requirement for substantial data to train AI models. Moreover, the decentralized characteristics of blockchain technology may not always be compatible with the centralized attributes of numerous AI algorithms. This perspective is entirely my own though.

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