Huoxun Finance reported on February 21 that Bloomberg analyst Eric Balchunas stated that Bitcoin's unique value lies in its user-driven nature and its censorship-resistant and debasement-resistant properties, neither of which have changed. He believes that while the importance of censorship resistance may seem to decline in developed markets in the short term due to the current US government's friendly attitude towards Bitcoin, it remains practically useful in emerging markets and may become more prominent again in the coming years. Furthermore, he noted that Bitcoin is still relatively "young," with high price volatility and narratives easily swayed by price; investors should distinguish between price noise and long-term value.

According to BitcoinMagazine, the Bitcoin white paper has been framed and displayed at the New York Stock Exchange (NYSE) exhibition area on February 21.

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According to a report by Tom's Hardware on February 21st, the popularity of the open-source local AI agent OpenClaw has driven a surge in purchases of Macs with high Unified Memory, leading to supply shortages for some models. The report indicates that basic configurations of MacBook Air, iMac, and M4 Mac mini can still be delivered on the same day, but once memory is upgraded, delivery times generally increase to approximately 2-3 weeks; orders for high-end M3 Ultra Mac Studio models with 512GB of Unified Memory are expected to wait 5-6 weeks. Apple CEO Tim Cook previously stated that the company is catching up on memory supply to meet demand, while the global memory chip supply is already squeezed by AI data centers and institutional buyers.

Huoxun Finance reported on February 21 that Ethereum co-founder Vitalik Buterin published an article proposing several ideas for optimizing democratic and decentralized governance using AI and personal LLMs (Large Language Models). He believes that "AI directly acting as government" is dystopian, but the lack of human attention and expertise in governance mechanisms such as DAOs can be alleviated by using personal governance agents, citizen-participatory dialogue agents, and AI-integrated suggestion/prediction markets. Vitalik also proposed introducing technologies such as multi-party secure computation, TEEs, or encrypted circuits in decentralized decision-making scenarios involving confidential information, allowing personal LLMs to participate in judgment within a "black box." He also emphasized the need to use zero-knowledge proofs and multi-party privacy computation tools to strengthen participant anonymity and content privacy protection.