merge

Opinion: Coinbase has met the conditions to become an acquisition target or merge with traditional exchanges

ChainCatcher news, according to Barrons, Coinbase has met the conditions to become an acquisition target. If it can merge with a traditional exchange, it could create a company that possesses both expertise and industry influence, thereby dominating the currently fragmented cryptocurrency market.Currently, Coinbase has a price-to-earnings ratio of about 22 times and a total market capitalization of approximately $52 billion. However, major U.S. exchanges have the capability to make this deal happen. The parent company of the New York Stock Exchange—Intercontinental Exchange (ICE)—has a market capitalization of up to $100 billion and a price-to-earnings ratio of 36 times. Its CEO, Jeffrey Sprecher, is married to Kelly Loeffler, a member of the Trump administration.The global futures trading giant CME Group has a market capitalization of $93 billion and a price-to-earnings ratio of 26 times. Nasdaq is known for its technological strength and global network, with a market capitalization of $47 billion and a price-to-earnings ratio of 41 times. If Coinbase can collaborate with major U.S. exchanges, it will be able to unlock doors to power and markets that may currently seem out of reach.Large investors may push for a top exchange to acquire Coinbase, allowing the new company to maximize investment returns as cryptocurrency gradually moves from the financial frontier to the mainstream.

The European Central Bank avoided a payment system "disaster," but exposed vulnerabilities in emergency response

ChainCatcher news, according to Jinshi reports, the European Central Bank's payment system experienced a major failure last Thursday, and the chaos that ensued during the 10 hours it took to identify and resolve the issue led to disruptions in welfare payments for over 15,000 Greeks, a large number of wages and pensions in Austria, and several financial transactions. The situation could have potentially worsened.If the situation had occurred or continued into the next day, i.e., at the end of February, it would have been a payday for many public sector employees, pensioners, and welfare recipients, and this chaos could have impacted millions of people and businesses, putting a strain on the banking system. According to officials from the Eurozone central bank, the core of the escalating turmoil was a hardware failure, but technicians took hours to identify the problem after initially misdiagnosing a database issue.Markus Ferber, a member of the European Parliament and a member of the committee overseeing the European Central Bank, stated, "A hardware failure is forgivable, but it is inexcusable if there is no backup that can be immediately activated when problems arise." An official from the European Central Bank indicated that the affected hardware did indeed have multiple backups, and the bank is analyzing why they did not activate.

Opinion: Decentralized AI is changing due to Deepseek, and AI models developed based on a complete Web3 AI stack are expected to emerge one after another

ChainCatcher news, the Pando Fund released a research report titled "Decentralized AI Changed by Deepseek," which points out that the narrative of decentralized AI is continuously reshaping. Web3 AI companies can focus on replicating DeepSeek's success while offering new advantages such as multimodality, user ownership, censorship resistance, and privacy. It is expected that the number of projects on the supply side will continue to grow, while consumer-facing projects will begin to compete with Web2 counterparts by building community-participated networks. In the coming year, AI models developed based on a complete Web3 AI stack will emerge one after another.In addition, companies combining AI and crypto are gradually adjusting their strategies to focus on infrastructure building rather than model development. For example, companies in the GPU market like Akash, Render, IoNet, and Exabits have developed sustainable revenue models. Meanwhile, businesses like Grass and Gradient, which allow users to share network bandwidth, have found their market positioning by providing distributed network services to Web2 clients. In inference tasks, the performance gap between small models and large models is narrowing, which means that Web3 does not need to rely on the massive computing power of traditional AI giants and can utilize these streamlined models for efficient inference operations. As this trend develops, we may see more inference endpoints driven by decentralized computing networks in the future.
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