Zamanat plans to launch a $100 million tokenized private credit fund, targeting the $250 billion financing gap in the Gulf region.

According to market data from BIT (bit.com), the storage sector saw a slight decline in pre-market US stocks, with individual stock performances as follows: SanDisk (SNDK) fell 0.83%; Seagate Technology (STX) dropped 0.67%; Western Digital (WDC) declined 0.98%; Micron Technology (MU) fell 0.93%; and SK Hynix ADR slid 3.50%.

According to the official announcement, Binance Alpha’s new airdrop will launch today at 19:00 (UTC+8). Users holding at least 246 Binance Alpha points are eligible to claim the token airdrop on a first-come, first-served basis, until the airdrop pool is exhausted or the event ends.

According to Israel’s i24 News, on Wednesday, Saudi-backed Yemeni government forces announced they had made major advances in Yemen’s northern and central desert regions, seemingly breaking through Houthi militia lines. But in reality, the Houthis only redeployed their troops, voluntarily ceding open areas to seize more strategically critical western coastal zones. By early Thursday, following the large-scale retreat of Yemeni government forces, Iran-backed Houthi fighters had taken control of the strategically vital coastline and Mocha Port in Hodeidah Governorate. Rather than one side launching an overwhelming rapid offensive, the two sides essentially swapped territory: the Houthis gained the strategically important Red Sea coastline, which will allow them to pose a more direct threat to shipping in the Bab el-Mandeb Strait and further escalate security risks for Saudi Arabia.

1inch co-founder Sergej Kunz said that since its founding in 2019, the decentralized exchange aggregator has processed a cumulative token swap volume of around $809 billion, though the company has yet to turn a profit. Kunz noted that the current DeFi market size remains insufficient to support platforms generating large-scale revenue by capturing value, so rather than chasing short-term profits, the firm will focus on continuing to build its infrastructure. Kunz revealed that 1inch is addressing the problem of DeFi liquidity fragmentation via its newly launched shared liquidity protocol Aqua. A study commissioned by 1inch from Dune shows that in the first half of 2026, roughly 85% of concentrated liquidity on major decentralized exchanges was underutilized. Of the $1.84 billion in liquidity tracked, approximately $1.6 billion was not fully utilized, leading to an estimated $150 million in annual trading fees going uncaptured. Aqua allows liquidity providers to avoid depositing assets into liquidity pools, instead supporting multiple trading pairs via their wallet balances, with trade settlements handled by compliance-audited market makers. On its launch day, the protocol saw around $25 million in capital deployed, with incentives including 10 million 1INCH tokens and 500,000 USDC. To date, 1inch has partnered with major platforms including Coinbase, while Robinhood has also named it a partner of Robinhood Chain. Kunz stated that 1inch prioritizes building infrastructure first, and will pursue commercialization opportunities after traditional finance and larger-scale capital enter the space.

Beating AI News Brief: Alibaba’s Agent Platform Qoder Unveils New Built-in Model Sonus Sonus focuses on long-duration autonomous tasks, complex knowledge work, and programming, with a key enhancement in Computer Use capabilities. Working with the new Qoder Desktop, it can directly operate computers and professional software to complete tasks such as coding, financial modeling, research, and spreadsheets. Sonus is now accessible on Qoder, IDE, CLI, JetBrains plugins, QoderWake, and Cloud Agents, with a billing rate of 3.2x. Qoder previously launched another built-in model, Cantus, which also carries a 3.2x billing multiple and targets long autonomous tasks; this time, Sonus elevates computer operation as its core capability.

Beating AI News Flash: Anthropic has released an economic study simulating how AI could impact the U.S. economy by 2030. The study first sets parameters including how many jobs AI can perform and the rate of enterprise adoption, then calculates corresponding GDP, wages, and unemployment rates. In the most aggressive scenario, AI would affect approximately 30% of all economic tasks. U.S. GDP would be 32.4% higher than it would be without AI, but the unemployment rate for knowledge workers would rise to 17.9%, while the overall unemployment rate would reach 11.9%. Wages for knowledge workers would also drop by 11.5%. Changes in income distribution are also significant: the share of labor income would fall from 60% to 45.2%, while capital income would rise to 54.8%. Although the economy would expand by nearly one-third, total labor income would only increase by 0.5%, whereas capital income would surge by 81.4%. However, under a set of less aggressive assumptions, the results would be far more moderate. Typical responses from U.S. public surveys align more closely with the middle scenario, projecting GDP to be around 10% higher by 2030 than it would be without AI, with an overall unemployment rate of approximately 5%.