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DNO Announces ‘Important’ Oil, Gas Discovery in North Sea

In a statement posted on its site on Wednesday, Norwegian oil and gas operator DNO ASA announced “an important oil and gas discovery in Northern North Sea license PL1182 S”. The discovery was made in Paleocene injectite sandstones “of excellent reservoir quality”, the statement highlighted. Preliminary estimates of gross recoverable resources are “in the range […]

In a statement posted on its site on Wednesday, Norwegian oil and gas operator DNO ASA announced “an important oil and gas discovery in Northern North Sea license PL1182 S”.

The discovery was made in Paleocene injectite sandstones “of excellent reservoir quality”, the statement highlighted. Preliminary estimates of gross recoverable resources are “in the range of 39 to 75 million barrels of oil equivalent, with a mean of 55 million barrels of oil equivalent”, the statement pointed out.

DNO noted in the statement that the Kjøttkake exploration well encountered a 41 meter (134.5 foot) oil column and a nine meter 9 (29.5 foot) gas column. A sidetrack drilled horizontally 1,350 meters (4,429 feet) westwards along the reservoir in the Sotra Formation confirmed the presence of the oil column throughout the discovery, DNO added.

“We are on a hot streak in Norway,” DNO Executive Chairman Bijan Mossavar-Rahmani said in the statement.

“Our latest and most exciting discovery this year, Kjøttkake, is close to existing infrastructure in the Troll-Gjøa area, and we will be relentless in pursuing its commercialization,” Mossavar-Rahmani added.

DNO highlighted in the statement that Kjøttkake is the company’s tenth discovery since 2021 in the “Troll-Gjøa exploration and development hotspot”. This find follows the company’s Røver Nord, Kveikje, Ofelia, Røver Sør, Heisenberg, Carmen, Kyrre, Cuvette and Ringand discoveries, DNO pointed out in the statement.

DNO went on to note that it has also “racked up discoveries in other parts of the Norwegian Continental Shelf, including Norma (2023) and Othello (2024), both play-opening finds and both operated by DNO”.  

DNO holds a 40 percent operated stake in PL1182 S, according to its statement, which outlined that its partners in the license comprise Aker BP ASA, with a 30 percent stake, Concedo AS, with a 15 percent interest, and Japex Norge AS, with another 15 percent stake.

At the time of writing, Aker BP and Japex Norge had made no mention of the discovery on their websites. Concedo published a part of DNO’s statement on its website on Wednesday.  

DNO noted in its statement that, following its exploration success, it has stepped up purchases of producing assets to balance its Norwegian portfolio and help fund coming developments.

The company pointed out that in early March, it announced “the transformative acquisition of Sval Energi Group AS, which will increase North Sea 2P reserves from 48 million barrels of oil equivalent to 189 million barrels of oil equivalent post-closing and 2C resources from 144 million barrels of oil equivalent to 246 million barrels of oil equivalent (pro forma figures as of year-end 2024)”.

DNO said in the statement that the acquisition is expected to close by mid-year.

In a statement posted on its site earlier this month, DNO confirmed a gas/condensate discovery on the Mistral prospect in the Norwegian Sea license PL1119. The company highlighted in that statement that its wholly owned subsidiary DNO Norge AS recently acquired a 10 percent interest in the license.

The well encountered a 45 meter (147.6 foot) hydrocarbon column with good reservoir properties in the Garn Formation, DNO said in the statement, adding that preliminary estimates of gross recoverable resources encountered are in the range of 19-44 million barrels of oil equivalent.

“Located some 20 kilometers southwest of Equinor’s ongoing Lavrans subsea development, the Mistral discovery is a candidate for a fast-track tieback to this field,” DNO noted in the statement.

“Given the good reservoir properties, the discovery likely allows for simplified development solutions,” it added.

In this statement, DNO noted that, to diversify its exploration portfolio, it entered into the Mistral license through a swap agreement with OKEA announced on December 19, 2024. In exchange, OKEA picked up a 10 percent interest in North Sea license PL1109 containing the Horatio prospect, DNO added. The DNO-OKEA transaction is subject to government approval, DNO revealed in the statement.

In a statement posted on its site on December 17, DNO announced an oil and gas discovery on the Ringand prospect in the Norwegian North Sea license PL923/923B.

Preliminary estimates of gross recoverable resources are in the range of 2-13 million barrels of oil equivalent on a P90-P10 basis with a mean of 10 million barrels of oil equivalent, DNO said in that statement.

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Ubuntu namespace vulnerability should be addressed quickly: Expert

Thus, “there is little impact of not ‘patching’ the vulnerability,” he said. “Organizations using centralized configuration tools like Ansible may deploy these changes with regularly scheduled maintenance or reboot windows.”  Features supposed to improve security Ironically, last October Ubuntu introduced AppArmor-based features to improve security by reducing the attack surface

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Google Cloud partners with mLogica to offer mainframe modernization

Other than the partnership with mLogica, Google Cloud also offers a variety of other mainframe migration tools, including Radis and G4 that can be employed to modernize specific applications. Enterprises can also use a combination of migration tools to modernize their mainframe applications. Some of these tools include the Gemini-powered

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FERC review of PJM colocation rules for data centers, large loads may extend past mid-year: analysts

The PJM Interconnection’s response to the Federal Energy Regulatory Commission’s investigation into the grid operator’s rules for colocated loads indicates FERC may not approve new regulations by mid-year, as some people initially thought, according to utility-sector analysts. FERC on Feb. 20 launched a review of issues related to colocating large loads, such as data centers, at power plants in PJM’s footprint. The outcome of the review could set a precedent for colocated load in the power markets FERC oversees. Talen Energy, Constellation Energy and PSEG Power, a Public Service Enterprise Group subsidiary, are among the companies that are considering hosting data centers at their nuclear power plants in PJM. In its “show cause” order, FERC asked PJM and stakeholders to explain why the grid operator’s colocation rules are just and reasonable or to offer rules that would pass agency muster. FERC established a comment schedule that enables the agency to issue a response by June 20. The agency said it could make a decision on a PJM proposal within three months. However, instead of proposing new colocation rules, PJM on March 24 said its existing rules are just and reasonable. The grid operator also offered five conceptual colocation options that have been proposed by stakeholders or developed by PJM. PJM urged FERC to issue “detailed guiding principles” that the grid operator could use to craft colocation rules for the agency’s approval. The lack of a proposal from PJM likely extends FERC’s review process, according to analysts. “FERC may still act on the show cause order in June, but we don’t rule out a new iteration of process instead of a clear policy decision,” ClearView Energy Partners analysts said in a client note on Friday. It will likely take FERC until late this year to approve changes to PJM’s colocation rules,

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EPA denies harm from GGRF freeze in court filing

The U.S. Environmental Protection Agency filed a motion Wednesday opposing motions for injunctive relief filed by three nonprofits that have had their access to Greenhouse Gas Reduction Fund grant money frozen, arguing that their monetary harm does not warrant an injunction and is not irreparable.  The nonprofit Climate Fund United, which received a $6.97 billion National Clean Investment Fund grant, was the first to sue over the frozen funds last month, targeting EPA and fund holder Citibank. The Coalition for Green Capital, which received $5 billion from the NCFI, and Power Forward Communities, which received $2 billion from it, have each filed lawsuits against Citibank.  EPA argued for the injunction requests filed by each to be denied, as “an injunction should be denied when Plaintiffs’ alleged harms are monetary and may be remedied by damages” and “in terminating Plaintiffs’ grants, EPA has not prohibited or made it unlawful for Plaintiffs (or their subgrantees) to carry out their work.” “Nor has any other government action,” EPA said. “The government is not preventing Plaintiffs from providing services; EPA has just terminated the contracts under which the government would provide reimbursement for those services.” In a joint response filed Friday, the three plaintiffs argued that they have already “demonstrated several forms of irreparable harm, including potentially fatal disruption to Plaintiffs’ operations; irreplaceable loss of clients, partnerships, and opportunities; devastating reputational injury; interference with Plaintiffs’ missions; and an immediate risk of insolvency for some of the Plaintiffs and their subgrantees.” “Many of these injuries have already materialized and will worsen if Plaintiffs continue to be deprived of access to their funds,” they said. The plaintiffs argue that the U.S. District Court for the District of Columbia, where the case is being heard, has previously held that financial harm can constitute irreparable harm when the existence

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Where battery and hydrogen-powered trains are coming to US commuter rail

As U.S. transit agencies increasingly order buses powered by batteries or hydrogen fuel cells, some of these same agencies are beginning to look at trains that use similar technologies. Stadler, an international train manufacturer, already has trains in testing and on order in two states, while other manufacturers of such trains operating in Canada and Europe are eyeing U.S. opportunities, too. California puts Stadler hydrogen trains to the test California announced a $310 billion plan in January to develop a zero-emission passenger rail network across much of the state by 2050. A hydrogen-powered passenger train built by Stadler, a Swiss company, began testing on San Bernardino County’s Metrolink commuter line between San Bernardino and Redlands, California, in November. The San Bernardino County Transportation Authority expects the train to go into regular service this year. “We’re confident that once that train goes into revenue service soon, that we’ll see a lot of positive feedback,” said Stadler’s Martin Ritter, executive vice president for North America. Ritter said California signed a contract with Stadler to provide up to 29 hydrogen fuel cell trains; it had ordered 10 as of a year ago. The state is bundling the procurement contract and will assign trains to different transit agencies, he said. Prior to its arrival in California, the SBCTA hydrogen train underwent testing at the Ensco Transportation Technology Center in Pueblo, Colorado. During that process, the train set a Guinness World Record for traveling 1,741.7 miles around a test loop without refueling or recharging.  Ritter said zero-emission trains are quieter and produce fewer vibrations than conventional fuel trains as they speed through communities along the line. He noted that the only byproduct of a fuel cell train is water vapor. Electric trains and streetcars have existed for more than a century. Passenger railroads like the

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ISO New England issues transmission RFP to access new wind resources

The New England grid operator on Monday published a request for proposals to address the region’s longer-term transmission needs, aimed at upgrading the electric system between anticipated wind generation in northern Maine and demand centers to the south. ISO New England said it published the RFP at the direction of the New England States Committee on Electricity. Proposals are due in September, though the schedule is subject to change, the ISO said. After evaluation by the ISO, a preferred solution may be selected by NESCOE as early as September 2026.  Proposals must aim to increase the amount of power that can flow across the Maine–New Hampshire and Surowiec–South transmission interfaces, and develop new infrastructure around Pittsfield, Maine, that could accommodate the interconnection of 1,200 MW of land-based wind generation, the ISO said. “A strong preference will be given to proposals with an in-service date on or before December 31, 2035, or as close as possible,” according to the RFP.  Massachusetts officials celebrated the announcement, noting that the first competitive RFP for longer-term transmission investments has been “a long-time goal of the New England states.”  “This RFP will address long-standing constraints on the New England power system and integrate new, affordable, onshore wind resources in the coming years,” according to a statement from Massachusetts Gov. Maura Healey, D. Previously, New England lacked a mechanism to enable the ISO to procure transmission at the states’ request. The RFP process was developed in collaboration between the ISO and regional stakeholders, allowing the states to request that the grid operator pursue transmission investment “that is grounded in the evaluation of broad regional benefits and consumer interests,” according to the Massachusetts statement. “This milestone represents what can happen when we work together — innovative and cost-effective solutions to our region’s most pressing energy challenges,” Healey said. “We are grateful

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Macquarie Strategists Forecast USA Crude Inventory Rise

In an oil and gas report sent to Rigzone late Monday by the Macquarie team, Macquarie strategists revealed that they are forecasting that U.S. crude inventories will be up 4.2 million barrels for the week ending March 28. “This follows a 3.3 million barrel draw for the week ending March 21 and compares to our initial expectation for a larger crude build this week,” the strategists said in the report. “For this week’s crude balance, from refineries, we model crude runs down meaningfully (-0.4 million barrels per day) following a strong print last week,” they added. “Among net imports, we model a moderate increase, with exports (-1.0 million barrels per day) and imports (-0.7 million barrels per day) much lower on a nominal basis,” they continued. The strategists warned in the report that timing of cargoes remains a source of potential volatility in this week’s crude balance. “From implied domestic supply (prod.+adj.+transfers), we look for a bounce (+0.3 million barrels per day) this week,” they said in the report. “Rounding out the picture, we anticipate another small increase in SPR [Strategic Petroleum Reserve] stocks (+0.3 MM BBL) this week,” they added. The strategists also noted in the report that, “among products”, they “look for draws in gasoline (-0.9 million barrels) and distillate (-4.1 million barrels), with jet stocks effectively flat”. “We model implied demand for these three products at ~14.4 million barrels per day for the week ending March 28,” they said. In its latest weekly petroleum status report at the time of writing, which was released on March 26 and included data for the week ending March 21, the U.S. Energy Information Administration (EIA) highlighted that U.S. commercial crude oil inventories, excluding those in the SPR, decreased by 3.3 million barrels from the week ending March 14 to the

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NEO Energy seeks contractors for Donan, Balloch and Lochranza decommissioning

NEO Energy has released five tenders seeking contractors to help decommission its Donan, Balloch and Lochranza fields, along with the Global Producer III floating production offloading and storage (FPSO) vessel. According to data from the North Sea Transition Authority’s (NSTA’s) Pathfinder database, the decommissioning campaign is expected to start in the second quarter of 2026 at the earliest, when work to disconnect the subsea infrastructure is expected to commence. This will also see the FPSO unmoored and towed to an unspecified location. By 2027, NEO plans to begin recovering the subsea infrastructure, followed by plugging and abandoning a total of 19 wells in 2028.- To help with this, NEO Energy is looking for a contractor to perform P&A activities on the wells. The tender is expected to take place on 31 December 2025 and has a value of over £25 million The company also announced four additional tenders, each with a value of less than £25m, covering recycling the FPSO, flushing, isolating and disconnecting the subsea infrastructure from the FPSO, disconnecting the moorings and towing the FPSO, and bulk seabed clearance. NEO Energy recently announced plans to merge its North Sea operations with Repsol Resources UK’s. The deal will see Repsol retain $1.8 billion (£1.4bn) in decommissioning liabilities related to its legacy assets, which NEO said will enhance the cash flows of the merged business. NEO said it expects to complete the deal during the third quarter of 2025, subject to regulatory approvals. © Supplied by SystemNinian South. CNRL Canadian Natural Resources Ltd (CNRL) has issued two tenders to assist with decommissioning its Ninian field in the Northern North Sea, located east of Shetland. The decommissioning scope consists of three areas, covering the Ninian South Platform, Ninian Central Platform and the Ninian subsea infrastructure, which includes the Strathspey, Lyell, Columba

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Talent gap complicates cost-conscious cloud planning

The top strategy so far is what one enterprise calls the “Cloud Team.” You assemble all your people with cloud skills, and your own best software architect, and have the team examine current and proposed cloud applications, looking for a high-level approach that meets business goals. In this process, the team tries to avoid implementation specifics, focusing instead on the notion that a hybrid application has an agile cloud side and a governance-and-sovereignty data center side, and what has to be done is push functionality into the right place. The Cloud Team supporters say that an experienced application architect can deal with the cloud in abstract, without detailed knowledge of cloud tools and costs. For example, the architect can assess the value of using an event-driven versus transactional model without fixating on how either could be done. The idea is to first come up with approaches. Then, developers could work with cloud providers to map each approach to an implementation, and assess the costs, benefits, and risks. Ok, I lied about this being the top strategy—sort of, at least. It’s the only strategy that’s making much sense. The enterprises all start their cloud-reassessment journey on a different tack, but they agree it doesn’t work. The knee-jerk approach to cloud costs is to attack the implementation, not the design. What cloud features did you pick? Could you find ones that cost less? Could you perhaps shed all the special features and just host containers or VMs with no web services at all? Enterprises who try this, meaning almost all of them, report that they save less than 15% on cloud costs, a rate of savings that means roughly a five-year payback on the costs of making the application changes…if they can make them at all. Enterprises used to build all of

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Lightmatter launches photonic chips to eliminate GPU idle time in AI data centers

“Silicon photonics can transform HPC, data centers, and networking by providing greater scalability, better energy efficiency, and seamless integration with existing semiconductor manufacturing and packaging technologies,” Jagadeesan added. “Lightmatter’s recent announcement of the Passage L200 co-packaged optics and M1000 reference platform demonstrates an important step toward addressing the interconnect bandwidth and latency between accelerators in AI data centers.” The market timing appears strategic, as enterprises worldwide face increasing computational demands from AI workloads while simultaneously confronting the physical limitations of traditional semiconductor scaling. Silicon photonics offers a potential path forward as conventional approaches reach their limits. Practical applications For enterprise IT leaders, Lightmatter’s technology could impact several key areas of infrastructure planning. AI development teams could see significantly reduced training times for complex models, enabling faster iteration and deployment of AI solutions. Real-time AI applications could benefit from lower latency between processing units, improving responsiveness for time-sensitive operations. Data centers could potentially achieve higher computational density with fewer networking bottlenecks, allowing more efficient use of physical space and resources. Infrastructure costs might be optimized by more efficient utilization of expensive GPU resources, as processors spend less time waiting for data and more time computing. These benefits would be particularly valuable for financial services, healthcare, research institutions, and technology companies working with large-scale AI deployments. Organizations that rely on real-time analysis of large datasets or require rapid training and deployment of complex AI models stand to gain the most from the technology. “Silicon photonics will be a key technology for interconnects across accelerators, racks, and data center fabrics,” Jagadeesan pointed out. “Chiplets and advanced packaging will coexist and dominate intra-package communication. The key aspect is integration, that is companies who have the potential to combine photonics, chiplets, and packaging in a more efficient way will gain competitive advantage.”

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Silicon Motion rolls SSD kit to bolster AI workload performance

The kit utilizes the PCIe Dual Ported enterprise-grade SM8366 controller with support for PCIe Gen 5 x4 NVMe 2.0 and OCP 2.5 data center specifications. The 128TB SSD RDK also supports NVMe 2.0 Flexible Data Placement (FDP), a feature that allows advanced data management and improved SSD write efficiency and endurance. “Silicon Motion’s MonTitan SSD RDK offers a comprehensive solution for our customers, enabling them to rapidly develop and deploy enterprise-class SSDs tailored for AI data center and edge server applications.” said Alex Chou, senior vice president of the enterprise storage & display interface solution business at Silicon Motion. Silicon Motion doesn’t make drives, rather it makes reference design kits in different form factors that its customers use to build their own product. Its kits come in E1.S, E3.S, and U.2 form factors. The E1.S and U.2 forms mirror the M.2, which looks like a stick of gum and installs on the motherboard. There are PCI Express enclosures that hold four to six of those drives and plug into one card slot and appear to the system as a single drive.

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Executive Roundtable: Cooling Imperatives for Managing High-Density AI Workloads

Michael Lahoud, Stream Data Centers: For the past two years, Stream Data Centers has been developing a modular, configurable air and liquid cooling system that can handle the highest densities in both mediums. Based on our collaboration with customers, we see a future that still requires both cooling mediums, but with the flexibility to deploy either type as the IT stack destined for that space demands. With this necessity as a backdrop, we saw a need to develop a scalable mix-and-match front-end thermal solution that gives us the ability to late bind the equipment we need to meet our customers’ changing cooling needs. It’s well understood that liquid far outperforms air in its ability to transport heat, but further to this, with the right IT configuration, cooling fluid temperatures can also be raised, and this affords operators the ability to use economization for a greater number of hours a year. These key properties can help reduce the energy needed for the mechanical part of a data center’s operations substantially.  It should also be noted that as servers are redesigned for liquid cooling and the onboard server fans get removed or reduced in quantity, more of the critical power delivered to the server is being used for compute. This means that liquid cooling also drives an improvement in overall compute productivity despite not being noted in facility PUE metrics.  Counter to air cooling, liquid cooling certainly has some added management challenges related to fluid cleanliness, concurrent maintainability and resiliency/redundancy, but once those are accounted for, the clusters become stable, efficient and more sustainable with improved overall productivity.

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Airtel connects India with 100Tbps submarine cable

“Businesses are becoming increasingly global and digital-first, with industries such as financial services, data centers, and social media platforms relying heavily on real-time, uninterrupted data flow,” Sinha added. The 2Africa Pearls submarine cable system spans 45,000 kilometers, involving a consortium of global telecommunications leaders including Bayobab, China Mobile International, Meta, Orange, Telecom Egypt, Vodafone Group, and WIOCC. Alcatel Submarine Networks is responsible for the cable’s manufacturing and installation, the statement added. This cable system is part of a broader global effort to enhance international digital connectivity. Unlike traditional telecommunications infrastructure, the 2Africa Pearls project represents a collaborative approach to solving complex global communication challenges. “The 100 Tbps capacity of the 2Africa Pearls cable significantly surpasses most existing submarine cable systems, positioning India as a key hub for high-speed connectivity between Africa, Europe, and Asia,” said Prabhu Ram, VP for Industry Research Group at CyberMedia Research. According to Sinha, Airtel’s infrastructure now spans “over 400,000 route kilometers across 34+ cables, connecting 50 countries across five continents. This expansive infrastructure ensures businesses and individuals stay seamlessly connected, wherever they are.” Gogia further emphasizes the broader implications, noting, “What also stands out is the partnership behind this — Airtel working with Meta and center3 signals a broader shift. India is no longer just a consumer of global connectivity. We’re finally shaping the routes, not just using them.”

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Former Arista COO launches NextHop AI for customized networking infrastructure

Sadana argued that unlike traditional networking where an IT person can just plug a cable into a port and it works, AI networking requires intricate, custom solutions. The core challenge is creating highly optimized, efficient networking infrastructure that can support massive AI compute clusters with minimal inefficiencies. How NextHop is looking to change the game for hyperscale networking NextHop AI is working directly alongside its hyperscaler customers to develop and build customized networking solutions. “We are here to build the most efficient AI networking solutions that are out there,” Sadana said. More specifically, Sadana said that NextHop is looking to help hyperscalers in several ways including: Compressing product development cycles: “Companies that are doing things on their own can compress their product development cycle by six to 12 months when they partner with us,” he said. Exploring multiple technological alternatives: Sadana noted that hyperscalers might try and build on their own and will often only be able to explore one or two alternative approaches. With NextHop, Sadana said his company will enable them to explore four to six different alternatives. Achieving incremental efficiency gains: At the massive cloud scale that hyperscalers operate, even an incremental one percent improvement can have an oversized outcome. “You have to make AI clusters as efficient as possible for the world to use all the AI applications at the right cost structure, at the right economics, for this to be successful,” Sadana said. “So we are participating by making that infrastructure layer a lot more efficient for cloud customers, or the hyperscalers, which, in turn, of course, gives the benefits to all of these software companies trying to run AI applications in these cloud companies.” Technical innovations: Beyond traditional networking In terms of what the company is actually building now, NextHop is developing specialized network switches

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

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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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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