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Marine conservation group launches High Court challenge over North Sea oil and gas licences

Marine conservation group Oceana UK will appear in the High Court in London today as part of legal action against a UK government decision to award North Sea oil and gas licences. Oceana will argue the decision to grant 31 exploration licences as part of the 33rd offshore petroleum licensing round was unlawful because the […]

Marine conservation group Oceana UK will appear in the High Court in London today as part of legal action against a UK government decision to award North Sea oil and gas licences.

Oceana will argue the decision to grant 31 exploration licences as part of the 33rd offshore petroleum licensing round was unlawful because the government “ignored expert advice from its own nature advisors” in making its decision.

Both the Joint Nature Conservation Committee (JNCC) and Nature England objected to the licences, but Oceana said this was not reflected in environmental regulator OPRED’s assessment.

Therefore, the group will ask the High Court to overturn the licences granted to companies including TotalEnergies, Deltic Energy and Orcadian Energy.

33rd North Sea licensing round

The former Conservative government launched the 33rd licensing round in 2022 in the wake of Russia’s invasion of Ukraine.

In total, the North Sea Transition Authority (NSTA) regulator awarded 83 licences to offshore operators in the North and East Irish seas and the West of Shetland area.

The Oceana case covers 31 of these licences, including 21 which fall within designated marine protected areas (MPAs).

Companies which received licences in the 33rd round include Australian firms Hartshead Resources and Finder Energy, as well as NEO Energy, Neptune and Perenco among others.

While at the time the government said the oil and gas licensing round passed climate compatibility checks, UK courts have since issued landmark rulings concerning downstream emissions and approval for fossil fuel projects.

© Supplied by Oceana UK
A map showing marine protected areas in blue and North Sea licence blocks from the 33rd licensing round in black using data from the North Sea Transition Authority. Image: Oceana UK

These include the Supreme Court’s ruling in the Finch case last year and a January decision overturning approvals for the Jackdaw and Rosebank projects.

Despite the ruling, Labour government has indicated it will allow Shell’s Jackdaw and Equinor’s Rosebank projects to proceed.

Meanwhile, the High Court has already dismissed a separate attempt by campaign groups Greenpeace UK and Uplift to block the 33rd licensing round on climate grounds.

But Oceana will be hoping the precedent set in the Finch case will lead to the court deciding in its favour.

Marine Protected Areas

Oceana’s case centres on the potential risk of “deep and lasting harm” to marine wildlife resulting from oil and gas exploration.

Oceana said many of the licence blocks fall within MPAs, home to wildlife including harbour porpoises, grey seals and puffins.

Despite this, Oceana said the potential for accidental oil spills was excluded from environmental impact assessments for the licences.

The conservation group will also argue that seismic surveys will disrupt marine wildlife in the area and potentially lead to strandings or death.

In addition, Oceana will argue the potential climate impacts of the licences have not been properly taken into account.

Labour ‘on the side of Big Oil’

Oceana UK campaign lead Naomi Tilley criticised the Labour government for its decision to defend the case “on the side of Big Oil”.

“Labour has made a welcome commitment to ending new oil and gas licences and to building a future powered by clean, reliable sources of energy,” Tilley said.

“They now need to hold true to that and choose the right side of history.

A group of Killer Whales at the Tartan Alpha in January 2019

“The steady drip-feed of pollution from oil and gas developments has well-documented and severe impacts on marine wildlife ranging from cancers to stillbirths, and across species from porpoises to cod.”

Tilley said the UK needs to “prioritise thriving seas and flourishing communities over short-term profits and greed”.

Leigh Day environmental solicitor Carol Day, acting on behalf of Oceana in the case, said the oil and gas licences “could have serious and potentially irreversible impacts” on marine wildlife.

“The point of the assessment process is to ensure these possible dangers are understood and factored into decision-making,” Day said.

Meanwhile, University of Aberdeen senior lecturer in energy law Dr Daria Shapovalova said: “It is paramount that decisions on oil and gas licensing and developments are made in accordance with the regulations and with full understanding of the impact they may have on the environment.

“These rules are designed to ensure our most important and vulnerable wildlife and habitats get the protection they need.”

In response to questions from Energy Voice, a spokesperson for the Department for Energy Security and Net Zero said: “We are unable to comment on ongoing legal proceedings.”

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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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Prairie Closes $603MM DJ Basin Acquisition from Bayswater

Prairie Operating Co. said it has closed its $602.75 million acquisition of certain Denver-Julesburg Basin (DJ Basin) assets from Bayswater Exploration and Production and its affiliated entities, which strengthens its position “as a leading operator” in the basin. The acquisition boosts Prairie’s production by approximately 25,700 net barrels of oil equivalent per day (boepd), consisting of 69 percent liquids, the company said in a news release. It also adds 24,000 net acres to the company’s approximately 600 highly economic drilling locations and roughly 10 years of drilling inventory. The assets contribute 77.9 million barrels of oil equivalent (MMboe) in proved reserves with an estimated PV-10 value of $1.1 billion, Prairie said. With the expansion, Prairie said it anticipates a substantial uplift in its 2025 production, revenue, and adjusted EBITDA. Prairie said the transaction was funded through a combination of proceeds from a new issuance of series F convertible preferred stock to a single institutional investor, a common stock public offering, a draw on the company’s newly expanded $1 billion credit facility, and a direct issuance of common stock to Bayswater. Following the closing, Prairie has approximately 35.4 million shares of common stock outstanding. “This acquisition is a pivotal moment for Prairie, significantly expanding our operational footprint in the DJ Basin,” Prairie Chairman and CEO Edward Kovalik said. “By integrating these high-quality assets, we are materially enhancing our production profile, strengthening our financial position, and creating meaningful value for our shareholders. Prairie remains singularly focused on executing our strategic vision to become a premier high-growth, low-cost oil producer”. Prairie President Gary Hanna said, “The addition of the Bayswater Assets further establishes Prairie as a leading operator in the DJ Basin. These assets are a strong complement to our existing portfolio, and we remain focused on maximizing operational efficiencies, optimizing production, and

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Ukraine Receives Critical Energy Equipment from Norway

Norway has delivered critical energy equipment for Ukraine via the United Nations Development Program (UNDP) to help ensure uninterrupted energy supply amid the war. As part of the aid, state-owned oil and gas company Naftogaz Group received gas-fired generator sets with a combined capacity of 150 megawatts. These will provide backup power and heating for critical infrastructure and residential areas, Naftogaz said in an online statement. “This support would strengthen the energy security of two major Ukrainian cities and provide electricity and heat to over 500,000 residents of the Dnipropetrovsk region during the next heating season”, Naftogaz said. Its subsidiary JSC Ukrgasvydobuvannya also received equipment to enhance natural gas production. Meanwhile state-owned electricity transmission system operator NPC Ukrenergo received two 330-kilovolt autotransformers with a capacity of 200 megavolt-amperes. “This support from Norway is a vital lifeline, enabling us to strengthen our energy infrastructure and build resilience against future disruptions”, said Ukrainian Energy Minister German Galushchenko. Naftogaz said, “Norway and UNDP are working closely to restore Ukraine’s power system, combining Norway’s financial support with UNDP’s operational expertise”. Support under the collaboration includes the provision of generators and solar power plants, as well as power and heat for schools, hospitals and other critical facilities, according to Naftogaz. “The initiative has already benefited millions of Ukrainians by strengthening essential services like healthcare and education, modernizing the energy sector, and enabling businesses to operate with fewer interruptions”, the UNDP said separately. It said reconstruction for Ukraine’s energy sector needed an estimated $67.78 billion as of December 2024. “The regions with the largest estimated needs are Zaporizhzhia, Kharkiv, Dnipropetrovsk, Donetsk, Odesa, and Sumy oblast”, the UNDP said. “The attacks on the energy system have caused civilian suffering and general economic attrition. Immediate power outages have affected around 1.5 million people, disrupting heating, water supply and sanitation, public

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ECITB commits to £2m investment in Aberdeen, Humber, Teesside and more

The Engineering Construction Industry Training Board (ECITB) has announced a further £2 million investment in ‘skills hubs’ across the UK over the next two years. It is directing funds towards “industrial cluster hot spots” such as the north-east of Scotland, Teesside and the Humber, Scotland, South Wales and the Solent. This follows on from a previous £1m investment through the trade body’s Regional Skills Hub Funding initiative to increase training provider capacity and grow new entrant numbers into the engineering and construction industry (ECI) as it contends with skills shortages. ECITB’s cash has already been directed to the Humber region, Teesside, the north-east of Scotland and the wider UK, the organisation explained, as it plans to announce further projects to receive backing “shortly”. Andrew Hockey, CEO of ECITB, commented: “This extra investment will help further address skills shortages by enhancing training and assessment infrastructure and capabilities at both colleges and independent training providers located in Britain’s industrial heartlands that will directly increase the flow of trained workers into the industry.” This comes soon after an ECITB report, which found the oil and gas workforce is older than other sectors, and it is unlikely that young people will fill the gap left by retirees. © Supplied by ECITB/ Dave DodgeECITB CEO Andrew Hockey meeting Work Ready learners at SETA in Southampton. Photo by Dave Dodge. The ECITB recently worked with industry partners as part of the Net Zero Teesside cluster project, which received £478,000 funding last month. The funding will contribute to an immersive pipefitting, welding, mechanical and project-based training rig and includes enhanced pipefitting facilities. The joint venture between BP and Equinor recently faced criticism from MPs who claimed government investment of £21.7bn in “unproven technologies” was “risky”. One of the first businesses to secure funds from the initial £1m

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BP Advances Gas Development in Trinidad and Tobago

BP Trinidad and Tobago (bpTT) is moving forward with the Ginger gas development project. Ginger is located approximately 50 miles off Trinidad’s southeast coast in water depths of less than 300 feet. Drilling at the first well started in January and is expected to resume in the fourth quarter, the company said in a news release. Ginger will become bpTT’s fourth subsea project and will include four subsea wells and subsea trees tied back to bpTT’s existing Mahogany B platform. First gas from the project is expected in 2027 and will make up one of the company’s 10 major projects expected to start up between 2025 and 2027. At peak, the development is expected to have the capacity to produce an average gas production of 62,000 barrels of oil equivalent per day (boepd), according to the release. The Ginger development and bpTT’s Cypre gas project, scheduled to start up this year, are part of bpTT’s strategy of maximizing production from existing acreage, developing capital-efficient projects that tie into existing infrastructure, it said. The project meets the company’s “expected returns from upstream projects” and is fully accommodated within its capital expenditure plans, it said. Further, bpTT reported exploration success at its Frangipani well. Drilling at the well identified multiple stacked gas reservoirs within the same geological structure. Options are currently being evaluated to move the discovery forward, the company stated. Frangipani is located east of the existing Mahogany field, approximately 50 miles off the southeast coast. The company has a 100 percent working interest in both Ginger and Frangipani. bpTT president David Campbell said, “I am very proud to announce these two milestones. With Frangipani, our objective was to prove that our continued progress in exploration and appraisal activity could unlock new fields and investment opportunities for the region. And the

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USA DOI Generates $39MM from 1Q 2025 Oil, Gas Lease Sales

In a statement posted on its site recently, the U.S. Department of the Interior (DOI) announced that it generated over $39 million in total receipts from oil and gas lease sales held in the first quarter of 2025. The Bureau of Land Management leased 34 parcels totaling 25,038 acres for $39,007,609 in total receipts for its first quarter of fiscal year 2025 oil and gas lease sales, the DOI noted in the statement. The organization highlighted that the Bureau of Land Management held oil and gas lease sales in Montana, North Dakota, New Mexico, Wyoming, and Nevada.  In a statement posted on its site on January 22, the Bureau of Land Management announced that its Montana-Dakotas State Office held a competitive oil and gas lease sale, “offering 13 parcels covering 1,324 acres in Montana and North Dakota”. “In total, 255 bids were received, with 13 parcels covering 1,324 acres leased, roughly 100 percent of the total acreage available. A total of $11,314,786 in high bids were received,” the Bureau said in that statement. A statement posted on the Bureau of Land Management’s site on February 21 announced that the Bureau’s New Mexico State Office leased seven parcels totaling 1,317.29 acres for $20,671,801 in total receipts for its quarterly oil and gas lease sale.  In another statement posted on its site on March 4, the Bureau said its Wyoming State Office leased four parcels totaling 2,443.11acres for $6,725,713 in total receipts for its quarterly oil and gas lease sale, and in a statement posted on its site on March 18, the Bureau said its Nevada State Office leased 10 parcels totaling 19,954 acres for $295,309 in total receipts for its quarterly oil and gas lease sale. “This quarter’s lease sales demonstrate Interior’s unwavering commitment to fostering American energy dominance, and we are grateful to those who

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Shell Completes Takeover of Pavilion Energy, Sale of Singapore Energy Park

Shell PLC said Tuesday it had completed separate transactions to take over Singapore-based liquefied natural gas (LNG) trader Pavilion Energy Pte. Ltd. and divest its Energy and Chemicals Park in the Southeast Asian city-state. The British integrated energy company acquired all shares of Pavilion Energy from Carne Investments Pte. Ltd., an indirect subsidiary of Singaporean state-owned investor Temasek. “The acquisition includes Pavilion Energy’s portfolio of LNG offtake and supply contracts, regasification capacity, and LNG bunkering business, strengthening Shell’s position in the LNG market”, Shell said in an online statement. Pavilion has a “long-term” contracted supply of about 6.5 million metric tons per annum (MMtpa) and regasification capacity of around 2 MMtpa at National Grid Group’s Isle Grain LNG terminal in England, as well as regasification access in Singapore and Spain, Shell noted. Additionally Pavilion holds a time charter for 3 M-type, electronically controlled gas injection LNG vessels and 2 TFDE (tri-fuel diesel electric) vessels. Pavilion also has an LNG bunkering business, whose first vessel was deployed early 2024, Shell said. Shell’s purchase excluded Pavilion’s pipeline gas business in Singapore, which has been transferred to Temasek’s Gas Supply Pte. Ltd. The transaction also excluded Pavilion’s 20 percent stake in Tanzania’s Blocks 1 and 4. “The acquisition will be absorbed within Shell’s cash capital expenditure guidance”, Shell said. In Singapore, Shell, via its 2016 acquisition of BG Group PLC, already holds the first license to import LNG into the country and supplies nearly a quarter of national natural gas needs, according to the company. Shell aims to raise its LNG sales by 4-5 percent through 2030. Last year it sold 65.8 million metric tons of LNG, while it recorded 29.1 million metric tons of liquefaction volumes. ‘‘We want to become the world’s leading integrated gas and LNG business and the most customer-focused

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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 abandons data center projects as OpenAI considers its own, hinting at a market shift

A potential ‘oversupply position’ In a new research note, TD Cowan analysts reportedly said that Microsoft has walked away from new data center projects in the US and Europe, purportedly due to an oversupply of compute clusters that power AI. This follows reports from TD Cowen in February that Microsoft had “cancelled leases in the US totaling a couple of hundred megawatts” of data center capacity. The researchers noted that the company’s pullback was a sign of it “potentially being in an oversupply position,” with demand forecasts lowered. OpenAI, for its part, has reportedly discussed purchasing billions of dollars’ worth of data storage hardware and software to increase its computing power and decrease its reliance on hyperscalers. This fits with its planned Stargate Project, a $500 billion, US President Donald Trump-endorsed initiative to build out its AI infrastructure in the US over the next four years. Based on the easing of exclusivity between the two companies, analysts say these moves aren’t surprising. “When looking at storage in the cloud — especially as it relates to use in AI — it is incredibly expensive,” said Matt Kimball, VP and principal analyst for data center compute and storage at Moor Insights & Strategy. “Those expenses climb even higher as the volume of storage and movement of data grows,” he pointed out. “It is only smart for any business to perform a cost analysis of whether storage is better managed in the cloud or on-prem, and moving forward in a direction that delivers the best performance, best security, and best operational efficiency at the lowest cost.”

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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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