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first_img Citigroup: AI continuous learning will extend the storage supply shortage until 2031

Citigroup analysts pointed out that leading memory chip manufacturers are expected to benefit from the structural changes in the development of artificial intelligence. The agency anticipates that continuous learning will drive a significant increase in memory demand, leading to a supply shortage in the market that will continue until 2031. Continuous learning strengthens models by training on new tasks and knowledge, which will create a sustained demand for model updates and access to historical data, driving the storage usage of products such as HBM, server DDR5, and eSSD.Citigroup expects HBM bit demand to grow by 62% year-on-year to 75.2 billion gigabits in 2027, and by 69% year-on-year to 127 billion gigabits in 2028. Global DRAM demand is expected to grow by 30% and 35% year-on-year in 2027 and 2028, respectively, while supply is expected to grow by only 19% and 22% during the same period, resulting in supply-demand ratios of -8.7% and -9.7%. In terms of NAND, demand is expected to grow by 29% and 33% year-on-year in 2027 and 2028, respectively, exceeding supply growth of 21% and 25%, with supply-demand ratios of -6.1% and -5.5%.Citigroup's preferred storage targets include Samsung Electronics, SK Hynix, Micron, Sandisk, and Kioxia, corresponding to the logic of storage shortages brought about by continuous learning, demand for HBM and server DDR5, DRAM supply shortages, and tightening supply of high-density eSSD and NAND.

Bitget launches the first course of the Blockchain4Youth Learning Center, collaborating with Bondex to build a Web3 talent channel

Bitget officially launched the "Blockchain4Youth Learning Center" with its first course, aimed at providing a systematic blockchain learning path for young people and further connecting knowledge learning with career development. After completing the course and passing the assessment, students will receive a certificate of completion issued by Bitget's Chief Marketing Officer Ignacio Aguirre Franco, serving as an official certification of their Web3 capabilities. Certificate holders can gain more industry exposure and priority employment opportunities among the partner employers of the Blockchain4Youth Talent Alliance.To bridge the gap from learning to employment, Bitget has partnered with the Web3 recruitment platform Bondex to provide students with a transparent job-seeking channel and a talent pool connection mechanism. Bondex co-founder Ignacio Palomera stated that the project aims to address the real issues faced by learners, such as "lack of industry connections after completing the course, insufficient effective certification, and unclear job-seeking paths," building a more direct bridge between young talent and recruiting companies.So far, the Bitget Blockchain4Youth series of projects has attracted over 15,000 young participants. Bitget CMO Ignacio Aguirre Franco pointed out that the goal of the learning center is to transform young people's interest in Web3 into a tangible entry path. As the program continues to advance, Blockchain4Youth is gradually evolving from a single event project into a long-term infrastructure focused on Web3 education, career guidance, and talent development.

Coinbase upgrades its anti-fraud system, integrating machine learning with a rules engine, reducing response time to a few hours

Coinbase stated that it is optimizing the rule creation process in its anti-fraud system by integrating machine learning models with a rules engine, achieving more efficient risk management. It also proposed a dual-track strategy of "models responsible for long-term defense, rules responsible for rapid response," and built a unified framework to create a feedback loop between the two: rules are used to capture new types of fraud and train the model in reverse, thereby continuously enhancing overall defense capabilities.In terms of specific optimizations, Coinbase has transformed the previously manual rule creation process into a data-driven and automated recommendation system by restructuring data, automating schema evolution, and introducing notebook-based analytical tools, significantly improving efficiency. Among these improvements, the performance of rule backtesting has increased by more than 10 times, and the overall response time has been reduced from several days to a few hours. Additionally, the new system uses machine learning to recommend parameters, helping to reduce false positive rates while combating fraud and minimizing the impact on normal users. Coinbase indicated that the next step will be to advance event-driven automatic rule generation and explore the "one-click conversion" of efficient rules into model features, further moving towards an automated risk management system.

Learning Times: Digital currency is gradually becoming an important strategic tool in geopolitical competition

ChainCatcher news, the Learning Times public account hosted by the Central Party School published an article titled "The Wartime Military Functions of Digital Currency," which points out that digital currency is gradually becoming an important strategic tool in geopolitical competition. With the decentralized characteristics of blockchain technology, digital currency can provide advantages such as rapid fund mobilization, anonymous transactions, and evasion of sanctions during wartime, demonstrating military value in various geopolitical conflicts.Three main military application models of digital currency have emerged globally: "resource tokenization" in resource-rich countries (such as Venezuela's Petro), "decentralized crowdfunding" in small and medium-sized countries, and "on-chain sanctions" in developed countries. The "Defense Blockchain Internal Testing Program" mentioned in the U.S. "Fiscal Year 2025 National Defense Authorization Act" may become an important strategic tool for future "financial defense."Experts believe that although digital currency faces limitations such as market acceptance and regulatory policies, its militarized applications will continue to develop, potentially breaking through conventional functions in the future and transforming into a multifunctional strategic platform that integrates security assurance, combat support, and digital confrontation.
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