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Oil Surges Past $80 Amid Tight Supply

Oil surpassed $80 a barrel for the first time since August as US inventories tightened and fresh sanctions on Russia began to affect crude flows. Buyers of Russian oil are increasingly turning to other suppliers, with nations including India saying they would bar sanctioned tankers, following the most aggressive sanctions yet by the US. In […]

Oil surpassed $80 a barrel for the first time since August as US inventories tightened and fresh sanctions on Russia began to affect crude flows.

Buyers of Russian oil are increasingly turning to other suppliers, with nations including India saying they would bar sanctioned tankers, following the most aggressive sanctions yet by the US. In China, companies have been snapping up cargoes from the Middle East and elsewhere in preparation for disruption. Freight costs have surged, and US physical pricing patterns have also shifted.

That has added momentum to crude’s already strong start to the year. US oil inventories have dropped for eight straight weeks to the lowest since April, countering widespread expectations for a significant global surplus.

Still, the rally will probably be capped at $81 a barrel, according to Dennis Kissler, senior vice president of trading at BOK Financial Securities. Futures are already hovering in overbought territory on the 14-day relative strength index.

Gasoline futures also rallied to the highest since August after Colonial Pipeline Co. shut one of the largest US fuel lines following a potential leak in Georgia. The company’s Line 1 transports 1.5 million barrels of gasoline a day between Houston, Texas, and Greensboro, North Carolina, and is expected to remain shut through Friday.

Meanwhile, the International Energy Agency on Wednesday revised its outlook and now expects a smaller surplus in global oil markets, with inventories set to grow by 725,000 barrels a day versus the more than 1 million barrels a day estimated previously.

Now, traders are weighing the implications of President-elect Donald Trump’s second term in the White House. These include the possibility of tighter curbs on Iranian exports, potential tariffs that could ensnare Canadian oil, as well as moves to encourage domestic production.

Elsewhere, Israel and Hamas have agreed to a ceasefire deal, bringing at least a temporary halt to a 15 months-long conflict that has roiled global oil trading. Markets shrugged off the report, with traders having already priced in a potential deal after a draft was announced on Tuesday.

Oil Prices:

  • WTI for February delivery rose 3.3% to settle at $80.04 a barrel in New York.
  • Brent for March settlement gained 2.6% to settle at $82.03 a barrel.

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A CSO’s perspective: 8 cyber predictions for 2025

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Ericsson unveils genAI assistant for 5G network operations

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Next-gen Ethernet standards set to move forward in 2025

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Oil Surges Past $80 Amid Tight Supply

Oil surpassed $80 a barrel for the first time since August as US inventories tightened and fresh sanctions on Russia began to affect crude flows. Buyers of Russian oil are increasingly turning to other suppliers, with nations including India saying they would bar sanctioned tankers, following the most aggressive sanctions yet by the US. In China, companies have been snapping up cargoes from the Middle East and elsewhere in preparation for disruption. Freight costs have surged, and US physical pricing patterns have also shifted. That has added momentum to crude’s already strong start to the year. US oil inventories have dropped for eight straight weeks to the lowest since April, countering widespread expectations for a significant global surplus. Still, the rally will probably be capped at $81 a barrel, according to Dennis Kissler, senior vice president of trading at BOK Financial Securities. Futures are already hovering in overbought territory on the 14-day relative strength index. Gasoline futures also rallied to the highest since August after Colonial Pipeline Co. shut one of the largest US fuel lines following a potential leak in Georgia. The company’s Line 1 transports 1.5 million barrels of gasoline a day between Houston, Texas, and Greensboro, North Carolina, and is expected to remain shut through Friday. Meanwhile, the International Energy Agency on Wednesday revised its outlook and now expects a smaller surplus in global oil markets, with inventories set to grow by 725,000 barrels a day versus the more than 1 million barrels a day estimated previously. Now, traders are weighing the implications of President-elect Donald Trump’s second term in the White House. These include the possibility of tighter curbs on Iranian exports, potential tariffs that could ensnare Canadian oil, as well as moves to encourage domestic production. Elsewhere, Israel and Hamas have agreed to a ceasefire

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Civitas Resources Weighs Sale of DJ Basin Assets

Civitas Resources Inc. is exploring a sale of part or all of its assets in the Denver-Julesburg Basin, which could be valued at more than $4 billion, people with knowledge of the matter said. The shale oil producer is working with a financial adviser to gauge buyer interest in the assets, according to the people, who asked not to be identified discussing confidential information.  Civitas would be open to divesting fully from the basin in Colorado if it receives a sufficiently attractive offer, the people said. The DJ Basin assets produce roughly 160,000 barrels of oil equivalent per day.  Shares in Civitas were up about 0.9% at 9:43 a.m. in New York, giving the company a market value of $5.2 billion. Deliberations are ongoing and Civitas could decide not to proceed with a transaction, the people said. A representative for Denver-based Civitas declined to comment. A sale of some or all of its assets in DJ Basin would free up cash that Civitas could use for acquisitions and to help pare its debt, which, according to data compiled by Bloomberg, stands at about $4.8 billion. Chevron Corp. and Occidental Petroleum Corp. are among the producers in the DJ Basin, which is harder to operate than most other US basins because of Colorado’s regulatory requirements.  Civitas also controls a sizable business in the Permian Basin, the most productive and profitable oil basin in the US. That’s thanks in large part to its $4.7 billion acquisition of assets from companies controlled by NGP Energy Capital Management in 2022. Midsize shale producers have stepped up efforts to reshape their portfolios as they fight for survival in a fast consolidating industry. Ovintiv Inc. signed a pair of deals in November to exit the Uinta Basin and bolster its activities in Canada. Also that month, Coterra Energy

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Hydrogen is transforming a tiny Utah coal town. Could its success hold lessons for similar communities?

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Labour to consult on North Sea oil and gas licensing, Miliband says

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Accelsius and iM Data Centers Demo Next-Gen Cooling and Sustainability at Miami Data Center

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Tract Capital Unveils Fleet Data Centers, Specializing In 500 MW+ Build-to-Suit Megacampuses

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Call for Speakers: Second Annual Data Center Frontier Trends Summit, Aug. 26-28, Reston, VA

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Microsoft will invest $80B in AI data centers in fiscal 2025

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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