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first_img TSMC's 1.4 nanometer factory in the Central Science Park is accelerating fully, with mass production expected in the second half of next year

The Central Science Management Bureau confirmed on the 9th that TSMC's Central Science Phase II 1.4 nanometer factory expansion is fully accelerating. The first P1 factory has completed its steel structure and is expected to begin trial production in April next year, with mass production anticipated in the second half of next year, ahead of the originally scheduled mass production in 2028. TSMC has applied to the Central Science Management Bureau to set up two temporary offices at the site, which are expected to be completed in April next year, with the first batch of over 5,400 operational and outsourced personnel moving in.The advanced process new factory for TSMC's Central Science Phase II park broke ground last October, planning to build four 1.4 nanometer factories, with nearly 2,000 workers working day and night. The P1 factory is currently undergoing floor and exterior wall construction, with the factory building expected to be completed early next year. The P2 factory has begun basic construction and is scheduled to be completed in October next year, with both factories expected to start mass production successively next year. The P3 factory has obtained a construction permit, while the P4 factory is in the process of applying for a construction permit, planning to be built with a six-month gap. P3 is expected to be completed in the second quarter of 2028, and P4 is scheduled for completion in the fourth quarter of the same year. After the P2 factory is completed in the second half of next year, an additional 1,000 operational personnel will be added, with the total number of employees expected to be between 9,000 and 10,000 when all four new factories in Phase II are completed and put into production.

first_img The Block: Stablecoin supply nearly 290 billion USD, annual transactions exceed 90 trillion USD

The Block Research released a report on September 8, stating that during the period from October 2025 to August 2026, Bitcoin fell by over 50% and the total cryptocurrency market value decreased by over $2 trillion, while the total supply of stablecoins remained around $290 billion, with about 90% issued by Tether and Circle.In the past 365 days, the transaction volume of stablecoins exceeded $90 trillion, more than doubling compared to 2025. The daily turnover rate increased from 0.38 times in August 2024 to 0.78 times in August 2026. Ethereum holds about $147 billion (turnover rate 0.51 times/day), Base holds $4.5 billion (16.7 times/day), Solana about $13 billion (1.08 times/day), and Tron over $90 billion (0.25 times/day). The Bank for International Settlements statistics indicate that the stablecoin transaction volume in 2025 was about $35 trillion, with payment-related transactions accounting for 1.1%. Chainalysis data shows that in 2025, illegal addresses received at least $154 billion in stablecoins.The GENIUS Act was signed in July 2025. In April 2026, FinCEN and OFAC jointly proposed to classify payment stablecoin issuers as financial institutions under the Bank Secrecy Act, and in August, the Treasury proposed a definition to clarify the scope of applicability, which is still a proposal. Companies such as Paxos, zerohash, Rain, and Altitude describe a shift from one-time KYC at onboarding to continuous lifecycle monitoring of on-chain behavior, counterparties, turnover rates, and geographic locations.

first_img Anthropic released an AI economic scenario, predicting a 32.4% increase in the U.S. GDP by 2030 under extreme conditions

Anthropic's economic team builds models to analyze the impact of AI on employment, growth, and unemployment in the United States. The model views the economy as a combination of tasks based on the U.S. Department of Labor's O*NET classification, where AI can keep tasks unchanged, enhance, automate, or create new tasks. The U.S. economy is described as having a task instance value of over $30 trillion.Three scenarios depend on AI capabilities and adoption speed: the moderate scenario is similar to the internet, with U.S. GDP increasing by 1.6% by 2030 ($34.1 trillion in 2025 prices), labor share at 59.4%, and capital share at 40.6%; in the substantial scenario, AI can perform half of knowledge work, GDP increases by 8.3% ($36.3 trillion), and wages for knowledge workers remain roughly stable, with a labor share of 56.1%; in the extreme scenario, AI is much more efficient in the vast majority of knowledge work and completes it almost entirely autonomously, with GDP increasing by 32.4% ($44.4 trillion), wages for knowledge workers dropping by over 10%, a labor share of 45.2%, and an unemployment rate exceeding typical recession levels.A survey conducted in August with over 10,000 Americans showed that typical responses were close to the substantial scenario (2030 GDP about 10% higher, unemployment rate about 5%), with about 10% of respondents nearing the extreme scenario. GDP increases in all scenarios, and transformative scenarios require more job transitions. The page provides a technical report and an interactive explorer.
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