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Golden Ten Data reported on April 21 that, according to Severstal, Russia’s largest steel manufacturer, Russian steel consumption continued to decline in the first quarter due to the economic slowdown. “The situation in the industry remains tough,” CEO Alexander Shevelev said in a statement on Tuesday. “Russia’s steel demand is continuously falling, with consumption in the first quarter of 2026 dropping by 15% year-on-year.” This decline exceeds the 14% decrease recorded for the whole of 2025. The current state of Russia’s steel industry reflects the overall cooling trend in the country’s economy. Last year, Russia’s economic growth rate recorded its first decline since 2022. The Bank of Russia has maintained relatively high interest rates to curb inflation, and the inflation issue has put pressure on businesses.

Golden Ten Data reported on April 21 that due to strong overseas demand for US crude oil, in some cases, oil pipeline throughput in Texas has exceeded its design capacity. According to data from research firm Wood Mackenzie, the amount of oil transported from the Permian Basin to Gulf Coast export terminals has reached an all-time high. Wood Mackenzie's data shows that just last week, the volume of crude oil transported through these pipelines increased by 1.5%, reaching an average of 5.27 million barrels per day. In one system transporting oil to the Corpus Christi export destination, pipeline operations have reached 102% of their design capacity.

Foresight News reports that the 0G Foundation has formed a partnership with Alibaba Cloud, aiming to bring the Qwen large language model series on-chain. 0G enables developers to integrate Qwen access directly into their infrastructure through a tokenization mechanism, eliminating the need for traditional account management and fiat currency settlements, and supporting programmatic, on-demand access to AI computation. In this architecture, inference runs on Qwen, while verification is completed by 0G, establishing the computational and trust foundation for autonomous AI systems. Currently, developers can use 0G’s verifiable data layer to build 100% auditable multi-step agent workflows. The newly released Qwen3.6 is optimized for Agentic AI and can provide robust inference support for AI agents in decentralized systems. This collaboration enables autonomous AI agents to access top-tier models directly via blockchain, as AI infrastructure transitions from the traditional API model to programmable, tokenized systems.