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US EIA gasoline inventories rose 3.518 mln barrels in the week to Oct. 9, versus a market-expected draw of 0.8 mln barrels; prior +0.382 mln barrels.

2026-10-16

US EIA gasoline inventories rose 3.518 mln barrels in the week to Oct. 9, versus a market-expected draw of 0.8 mln barrels; prior +0.382 mln barrels.

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2026-10-16

On Oct. 15 U.S. Mammoth Cargo Aircraft Co.'s first Boeing 777-200LR bound for passenger-to-freighter conversion arrived at Qingdao Jiaodong International Airport, marking the start of Asia's first 777-200LR P2F production line. In April Mammoth's 777

On Oct. 15 U.S. Mammoth Cargo Aircraft Co.'s first Boeing 777-200LR bound for passenger-to-freighter conversion arrived at Qingdao Jiaodong International Airport, marking the start of Asia's first 777-200LR P2F production line. In April Mammoth's 777-200LRMF P2F modification received an FAA supplemental type certificate, the first official approval for a 777-200LR conversion. Mammoth and Shandong Taikoo Aircraft Engineering Co. have established a strategic partnership to build the Jiaodong production line, making Qingdao the third global and the only Asia-Pacific core hub in Mammoth's 777 conversion capacity network.
2026-10-16

On October 15, The New York Times published an interactive report using successive generations of GPT models as examples to demonstrate the rapidly expanding computing demands behind the advancements in AI capabilities. The report estimates that by 2

On October 15, The New York Times published an interactive report using successive generations of GPT models as examples to demonstrate the rapidly expanding computing demands behind the advancements in AI capabilities. The report estimates that by 2026, the training computations for GPT-6 Astra will approach 10²⁷, more than 50 million times that of the original GPT. The article uses visualizations to illustrate how large-scale model training relies on massive amounts of data and computation, constantly adjusting trillions of parameters to improve prediction and generation capabilities. As model size increases, computing power and electricity demands also continue to grow. The report cites research predicting that by 2030, the electricity required to train the largest AI models could approach the current electricity load of New York City; during the same period, data centers in the United States may account for approximately 12% of the nation's total electricity consumption. This trend highlights the increasingly close link between advancements in AI technology and the expansion of energy infrastructure.
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