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INEOS to Supply LNG for Covestro Operations in Europe

INEOS Group Ltd. and Covestro AG have signed a deal for the British diversified conglomerate to supply the German major polymer materials producer with liquefied natural gas (LNG) for up to eight years from 2027. The LNG will be used at Covestro’s facilities in Europe. The Leverkusen-based company uses LNG as feedstock and fuel. “This […]

INEOS Group Ltd. and Covestro AG have signed a deal for the British diversified conglomerate to supply the German major polymer materials producer with liquefied natural gas (LNG) for up to eight years from 2027.

The LNG will be used at Covestro’s facilities in Europe. The Leverkusen-based company uses LNG as feedstock and fuel.

“This strategic collaboration addresses the critical need for secure and diversified energy sources in Europe”, a joint statement said.

David Bucknall, chief executive of INEOS’ energy business, said the partnership with Covestro will provide “reliable, cost-effective energy to help our industrial partners manage volatility and avoid shortages”.

“This agreement with INEOS provides us with the long-term security we need to maintain our production and contribute to the European economy”, Covestro chief technology officer Thorsten Dreier commented.

“This contract is an important building block for our transition as a company in the energy-intensive industry towards an affordable renewable energy supply”, Dreier added.

Covestro, which is in the process of being acquired by Abu Dhabi National Oil Co., has set aims to achieve neutrality in terms of Scope 1 and 2 emissions by 2035 and Scope 3 by 2050.

The companies did not disclose the agreed volume.

INEOS ventured into the LNG sector 2022 by placing a 20-year offtake from United States producer Sempra Infrastructure. The purchase of about 1.4 million metric tons per annum (MMtpa) will be fulfilled by the under-construction Port Arthur LNG in Texas, which Sempra co-owns with ConocoPhillips and KKR.

The agreement, announced December 1, 2022, provides for an additional supply of 200,000 tons a year from the second phase of the project.

The two-train phase 1, which Sempra estimates to have a capital expenditure of $13 billion, has a nameplate capacity of 13 MMtpa. The first train is expected to start operation 2027, to be followed by train 2 in 2028.

Phase 1 has been fully subscribed. Besides INEOS, the offtakers are Houston-based ConocoPhillips, France’S ENGIE SA, Poland’s ORLEN SA and Germany’s RWE Supply & Trading GmbH. All phase 1 supply agreements became effective March 2023 when the project reached a final investment decision, according to the project website.

The developers plan to grow Port Arthur LNG’s capacity to 22 MMtpa.

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Pantheon of college football gets a Wi-Fi upgrade

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The U.S. leads the world in AI (job) anxiety

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Tigera extends cloud-native networking with Calico 3.30

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Former Shell executive set to lead UK’s National Grid

Former Shell integrated gas and upstream director Zoë Yujnovich is set to become the next chief executive of UK gas and electricity utility operator National Grid. In a statement, National Grid said Yujnovich will succeed current chief executive John Pettigrew from 16 November. The leadership transition comes as the grid operator embarks on an “unprecedented” £35 billion upgrade programme in its electricity transmission business over the next six years. National Grid is also investing up to £59bn in high-voltage cable projects, including the Eastern Green Link 4, Sealink and Lionlink. John Pettigrew and Zoë Yujnovich Pettigrew has spent almost ten years leading National Grid, and the company said he and its board had agreed it is the “right time to transition leadership”. After joining National Grid as a graduate in 1991, Pettigrew held a variety of senior roles before taking on the CEO position in 2016. © Supplied by National GridNational Grid chief executive John Pettigrew will retire in November 2025. Meanwhile, Shell announced Yujnovich would step down from her role at the supermajor in March after more than a decade. The Australian joined Shell in 2014 after more than a decade at mining company Rio Tinto, and is also on the board of Unilever as a non-executive director. National Grid said Yujnovich will join its board on 1 September before becoming chief executive on 17 November. National Grid leadership National Grid chair Paula Reynolds thanked Pettigrew for his “invaluable contribution” to the company over three decades. “His leadership as chief executive has been exemplary, driving the group’s strategic transformation, enabling the energy transition and delivering significant shareholder value,” Reynolds said. © Supplied by National GridOffshore construction of the National Grid North Sea Link HVDC cable project linking the UK and Norway. “He will leave the group in a strong

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Scottish government dishes out £3.4m in pursuit of hydrogen ambitions

The Scottish government has unveiled a £3.4 million investment in the country’s hydrogen economy across 11 projects. Acting Net Zero Cabinet Secretary Gillian Martin said: “Hydrogen stands as a critical pillar of Scotland’s route to net zero by 2045, but also, alongside the development of our offshore wind capacity, as one of Scotland’s greatest industrial opportunities since the discovery of oil and gas in the North Sea.” The public funds are set to back green hydrogen projects, support Scotland’s green energy supply chain and “enhance hydrogen transport and storage infrastructure”, a government statement outlined. The announcement follows a move from September in which the Holyrood government invited projects to apply for a match-funding grant award of up to 50%, to the maximum value of £2 million. © Supplied by Clarke Cooper/DCTMThe successful applicants of the Scottish Government’s £3.4 billion hydrogen funding scheme (click to zoom). A total of 18 projects were shortlisted and submitted a full application to the Aberdeen-based Scottish Enterprise. Martin added: “We are working to build a hydrogen economy in which the benefits of our energy transition are shared, and which harnesses the full potential of our skilled people, our worldclass industries, and our natural resources.” Projects from across the country were successful, with the Highlands being named as a location in three of the winning bids. Aberdeen was mentioned in the successful applications from Glacier Energy and Hydrasun with SSE listing the surrounding council district as the location of its Peterhead 1 and 2 Hydrogen projects. Hydrogen training site opens in Fife This comes as SGN announced the opening of the UK’s first hydrogen training centre for gas engineers, an initiative carried out in partnership with Fife College. The facility at Fife College’s Levenmouth Campus aims to train over 100 ‘Gas Safe’ registered engineers this year. SGN

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Supply chain offers up 31 tenders for Teesside CCS project

Supermajor BP has listed more than 30 multi-million-pound tenders for its Teesside-based carbon capture storage (CCS) project. All but one of the 31 Northern Endurance Partnership (NEP) tenders are listed as being worth less that £25 million on the North Sea Transition Authority’s (NSTA) Pathfinder service. The work up for grabs covers subsea operations, fabrication, and engineering and design contracts with the highest value gig being listed for “pre-dredging and sweeping”. This contract is set to be dished out on Friday, alongside a couple of others. TechnipFMC is also offering up work for less than £25 million for “manifold fabrication of two off manifold structures”. The tender valued at over £25m has been listed by TechnipFMC, which is responsible for the Offshore Subsea Injection System, and one of the two firms tasked with working on the NEP’s onshore power, capture and compression. Building upon NEP’s £4bn contracts © Supplied by BPThe East Coast Cluster. NEP is a joint venture between BP, Equinor, and TotalEnergies and is the CO2 transportation and storage provider for the East Coast Cluster (ECC). Alongside NZT Power, a BP and Equinor JV which will be capable of dispatching up to 860 megawatts of flexible low-carbon power in the region, NEP dished out £4 billion in contracts last year. The partners previously estimated that the £4 billion worth of contracts would create 2,000 jobs on the English east coast. Among those who won work on the east coast Track 1 winning CCS project were Wood, Saipem, Genesis, and Costain. French energy services firm Altrad also won a three-year contract with NZT Power and NEP to provide “quality services during the execution phase of the projects,” Energy Voice reported in April. Costain and TechnipFMC to dish out Teesside CCS work TechnipFMC is offering up 24 of the 31

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BP to Supply Woodside’s Louisiana LNG

Woodside Energy Group Ltd. has tapped BP PLC for the supply of up to 640 billion cubic feet of natural gas for the Louisiana LNG project on the United States Gulf Coast. The British energy giant will deliver the volumes starting 2029, a joint statement said Wednesday. “This agreement represents the first tranche of a diversified portfolio of feedgas that will support the Louisiana LNG project, enabled by the project’s extensive interconnectivity to multiple producing basins and interconnecting pipelines”, the companies said. Woodside chief executive Meg O’Neill commented, “Woodside has a long history of successful collaboration with bp. By drawing upon bp’s experience with MiQ certificates, we can access verifiably low methane intensity molecules for the Louisiana LNG project. This supports Woodside’s goals as a member in the UN Environment Program’s OGMP [Oil and Gas Methane Partnership] 2.0 initiative”. A day prior Woodside announced a positive final investment decision (FID) on the project, which it acquired as Driftwood LNG as part of its $1.2 billion takeover of Tellurian Inc. last year. “The forecast total capital expenditure for the LNG project, pipeline and management reserve is US$17.5 billion (100 percent)”, the Australian oil and gas explorer and producer said. New York City-based Stonepeak Partners LP will provide a staggered contribution of $5.7 billion in exchange for a 40 percent stake, under an agreement announced earlier this month. Louisiana LNG has an Energy Department permit to export a cumulative 1.42 trillion cubic feet a year of natural gas equivalent, or 27.6 million metric tons per annum (MMtpa) of liquefied natural gas (LNG) according to Woodside, to both FTA and non-FTA countries. The FID announced Tuesday is for phase 1, which will build 3 liquefaction trains with a collective capacity of 16.5 MMtpa, Louisiana has already been under construction by Reston, Virginia-based Bechtel Corp.

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IPR Announces ‘Significant Hydrocarbon Discovery’ in Egypt’s Western Desert

In a release sent to Rigzone by the IPR Energy Group (IPR) team recently, the company announced “another significant hydrocarbon discovery” in the Yidma field, which is situated in the Yidma-Alamein concession in Egypt’s Western Desert. “The well was drilled to a total depth of 8,910 feet, targeting untapped reserves following recent successes in the adjacent Alamein field,” IPR said in the release, adding that the well encountered “a substantial oil column of 73 feet [of] hydrocarbons beneath a tight stratigraphic barrier within the Alamein Dolomite formation”.  “A highly porous dolostone interval was perforated, yielding initial rates of 1,926 barrels of oil per day, stabilizing at a rate of 1,250 barrels of oil per day with high quality light oil at 43°API, with minimal water cut (0.5 percent BS&W) through a 64/64-inch choke,” IPR noted in the release. The company highlighted in the release that the well is currently producing under natural flow and revealed that output is expected to reach 1,500 barrels of oil per day following the installation of an electric submersible pump. “This well’s success, and previous successes last year within the concession, adds additional reserves and production wedges as a result of IPR employing new conceptional exploration and redevelopment plans to all mature and legacy field activities in the concession,” IPR stated in the release. The company pointed out that a follow up well, Yidma-14X, is under final drilling, where IPR said “similar completion practices will be used for the deeper exploration target, Alam El Bueib”. An IPR spokesperson said in the release, “this new discovery again emphasizes the outstanding exceptional value of the untapped potential of the Yidma-Alamein concession that has been produced for over 60 years and still exhibits sizable value and potential that can be accessed using newly improved exploitation methodologies, upgrading production technology,

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£250m Liverpool Bay CCS contract set to create 600 jobs

Eni has awarded a £250 million contract to construction firm United Living Group to deliver CO2 transportation and storage infrastructure for its Liverpool Bay carbon capture and storage (CCS) project. United Living, a subsidiary of American private equity group Apollo, said it expects to generate an additional 300 roles within the company as part of the contract. The deal with Italian energy firm Eni will also support an additional 300 roles in the immediate supply chain. United Living chairman and chief executive Neil Armstrong said the CCS project will deliver “huge benefits” to the North West of England. “We are acutely aware of the pressing need to transition to a lower-carbon future and see CCS as a crucial element to the UK achieving its net zero target,” he said. “This project will also deliver huge benefits to the North West region, bringing major investment in local skills development, employment opportunities, and strong growth prospects for local businesses.” Liverpool Bay CCS Eni’s offshore CCS plans form the focal point for the wider £2 billion HyNet North West industrial decarbonisation cluster. The plan involves capturing emissions from industrial emitters around Liverpool and Manchester before transporting and storing the CO2 offshore underneath the Irish Sea. United Living said the three-year engineering, procurement, installation and commissioning contract with Eni relates to the delivery of the HyNet CO2 pipeline. © Supplied by HyNetEni’s Point of Ayr gas terminal in north Wales, which will form part of the Liverpool Bay CCS project. The project involves the construction of 21 miles of new pipeline alongside repurposing 15 miles of existing infrastructure for CO2 transportation. The pipeline will travel from Ince in Cheshire to Eni’s Point of Ayr gas terminal in north Wales. Eni secured planning permission from the UK government for the Liverpool Bay pipeline project in

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AI’s energy appetite drives interest in nuclear power

In its new report, Deloitte said that its analysis of figures from the World Nuclear Association, the American Nuclear Society, the U.S. Department of Energy, and others showed that new nuclear power could potentially meet about 10% of the projected increase in data center demand over the next decade, assuming capacity is also significantly expanded by between 35GW and 62GW, and 30% of the expansion is earmarked for data centers. “Nuclear energy presents a potential solution for meeting some of the growing electricity demands of data centers, with its reliable and clean energy profile,” Deloitte’s report said, noting five key advantages of the technology: Reliable baseload power: Nuclear reactors operate 24/7, regardless of the weather, providing the reliable power so important to data centers. In addition, Deloitte said, “Their capacity factor, exceeding 92.5%, outperforms other sources like natural gas (56%) and renewables like wind (35%) and solar (25%).” High energy density: A small amount of fuel generates a lot of power, which minimizes the need for fuel storage and transportation. “This efficiency can translate to a smaller physical footprint and enhanced sustainability,” Deloitte said. Scalable power output: A full-sized reactor typically generates 800 megawatts (MW) or more of electricity, which accommodates the needs of large data centers. Low carbon emissions: Nuclear power plants produce virtually no greenhouse gas emissions during operation. Enhanced land use efficiency: Compared to other energy sources, nuclear power plants require relatively little land. Gartner’s Johnson echoed these advantages, and also predicted that nuclear energy, and small modular reactors (SMRs) in particular, will “provide a viable answer” to the question of what to do when electricity demand exceeds supply. They can, he said, “ensure independence from grid power fluctuations by providing dedicated on-site power for large data centers.” However, both Gartner and Deloitte also highlighted challenges in

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Nvidia AI supercluster targets agents, reasoning models on Oracle Cloud

Oracle has previously built an OCI Supercluster with 65,536 Nvidia H200 GPUs using the older Hopper GPU technology and no CPU that offers up to 260 exaflops of peak FP8 performance. According to the blog post announcing the availability, the Blackwell GPUs are available via Oracle’s public, government, and sovereign clouds, as well as in customer-owned data centers through its OCI Dedicated Region and Alloy offerings. Oracle joins a growing list of cloud providers that have made the GB200 NVL72 system available, including Google, CoreWeave and Lambda. In addition, Microsoft offers the GB200 GPUs, though they are not deployed as an NVL72 machine.

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Deep Data Center: Neoclouds as the ‘Picks and Shovels’ of the AI Gold Rush

In 1849, the discovery of gold in California ignited a frenzy, drawing prospectors from around the world in pursuit of quick fortune. While few struck it rich digging and sifting dirt, a different class of entrepreneurs quietly prospered: those who supplied the miners with the tools of the trade. From picks and shovels to tents and provisions, these providers became indispensable to the gold rush, profiting handsomely regardless of who found gold. Today, a new gold rush is underway, in pursuit of artificial intelligence. And just like the days of yore, the real fortunes may lie not in the gold itself, but in the infrastructure and equipment that enable its extraction. This is where neocloud players and chipmakers are positioned, representing themselves as the fundamental enablers of the AI revolution. Neoclouds: The Essential Tools and Implements of AI Innovation The AI boom has sparked a frenzy of innovation, investment, and competition. From generative AI applications like ChatGPT to autonomous systems and personalized recommendations, AI is rapidly transforming industries. Yet, behind every groundbreaking AI model lies an unsung hero: the infrastructure powering it. Enter neocloud providers—the specialized cloud platforms delivering the GPU horsepower that fuels AI’s meteoric rise. Let’s examine how neoclouds represent the “picks and shovels” of the AI gold rush, used for extracting the essential backbone of AI innovation. Neoclouds are emerging as indispensable players in the AI ecosystem, offering tailored solutions for compute-intensive workloads such as training large language models (LLMs) and performing high-speed inference. Unlike traditional hyperscalers (e.g., AWS, Azure, Google Cloud), which cater to a broad range of use cases, neoclouds focus exclusively on optimizing infrastructure for AI and machine learning applications. This specialization allows them to deliver superior performance at a lower cost, making them the go-to choice for startups, enterprises, and research institutions alike.

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Soluna Computing: Innovating Renewable Computing for Sustainable Data Centers

Dorothy 1A & 1B (Texas): These twin 25 MW facilities are powered by wind and serve Bitcoin hosting and mining workloads. Together, they consumed over 112,000 MWh of curtailed energy in 2024, demonstrating the impact of Soluna’s model. Dorothy 2 (Texas): Currently under construction and scheduled for energization in Q4 2025, this 48 MW site will increase Soluna’s hosting and mining capacity by 64%. Sophie (Kentucky): A 25 MW grid- and hydro-powered hosting center with a strong cost profile and consistent output. Project Grace (Texas): A 2 MW AI pilot project in development, part of Soluna’s transition into HPC and machine learning. Project Kati (Texas): With 166 MW split between Bitcoin and AI hosting, this project recently exited the Electric Reliability Council of Texas, Inc. planning phase and is expected to energize between 2025 and 2027. Project Rosa (Texas): A 187 MW flagship project co-located with wind assets, aimed at both Bitcoin and AI workloads. Land and power agreements were secured by the company in early 2025. These developments are part of the company’s broader effort to tackle both energy waste and infrastructure bottlenecks. Soluna’s behind-the-meter design enables flexibility to draw from the grid or directly from renewable sources, maximizing energy value while minimizing emissions. Competition is Fierce and a Narrower Focus Better Serves the Business In 2024, Soluna tested the waters of providing AI services via a  GPU-as-a-Service through a partnership with HPE, branded as Project Ada. The pilot aimed to rent out cloud GPUs for AI developers and LLM training. However, due to oversupply in the GPU market, delayed product rollouts (like NVIDIA’s H200), and poor demand economics, Soluna terminated the contract in March 2025. The cancellation of the contract with HPE frees up resources for Soluna to focus on what it believes the company does best: designing

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Quiet Genius at the Neutral Line: How Onics Filters Are Reshaping the Future of Data Center Power Efficiency

Why Harmonics Matter In a typical data center, nonlinear loads—like servers, UPS systems, and switch-mode power supplies—introduce harmonic distortion into the electrical system. These harmonics travel along the neutral and ground conductors, where they can increase current flow, cause overheating in transformers, and shorten the lifespan of critical power infrastructure. More subtly, they waste power through reactive losses that don’t show up on a basic utility bill, but do show up in heat, inefficiency, and increased infrastructure stress. Traditional mitigation approaches—like active harmonic filters or isolation transformers—are complex, expensive, and often require custom integration and ongoing maintenance. That’s where Onics’ solution stands out. It’s engineered as a shunt-style, low-pass filter: a passive device that sits in parallel with the circuit, quietly siphoning off problematic harmonics without interrupting operations.  The result? Lower apparent power demand, reduced electrical losses, and a quieter, more stable current environment—especially on the neutral line, where cumulative harmonic effects often peak. Behind the Numbers: Real-World Impact While the Onics filters offer a passive complement to traditional mitigation strategies, they aren’t intended to replace active harmonic filters or isolation transformers in systems that require them—they work best as a low-complexity enhancement to existing power quality designs. LoPilato says Onics has deployed its filters in mission-critical environments ranging from enterprise edge to large colos, and the data is consistent. In one example, a 6 MW data center saw a verified 9.2% reduction in energy consumption after deploying Onics filters at key electrical junctures. Another facility clocked in at 17.8% savings across its lighting and support loads, thanks in part to improved power factor and reduced transformer strain. The filters work by targeting high-frequency distortion—typically above the 3rd harmonic and up through the 35th. By passively attenuating this range, the system reduces reactive current on the neutral and helps stabilize

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New IEA Report Contrasts Energy Bottlenecks with Opportunities for AI and Data Center Growth

Artificial intelligence has, without question, crossed the threshold—from a speculative academic pursuit into the defining infrastructure of 21st-century commerce, governance, and innovation. What began in the realm of research labs and open-source models is now embedded in the capital stack of every major hyperscaler, semiconductor roadmap, and national industrial strategy. But as AI scales, so does its energy footprint. From Nvidia-powered GPU clusters to exascale training farms, the conversation across boardrooms and site selection teams has fundamentally shifted. It’s no longer just about compute density, thermal loads, or software frameworks. It’s about power—how to find it, finance it, future-proof it, and increasingly, how to generate it onsite. That refrain—“It’s all about power now”—has moved from a whisper to a full-throated consensus across the data center industry. The latest report from the International Energy Agency (IEA) gives this refrain global context and hard numbers, affirming what developers, utilities, and infrastructure operators have already sensed on the ground: the AI revolution will be throttled or propelled by the availability of scalable, sustainable, and dispatchable electricity. Why Energy Is the Real Bottleneck to Intelligence at Scale The major new IEA report puts it plainly: The transformative promise of AI will be throttled—or unleashed—by the world’s ability to deliver scalable, reliable, and sustainable electricity. The stakes are enormous. Countries that can supply the power AI craves will shape the future. Those that can’t may find themselves sidelined. Importantly, while AI poses clear challenges, the report emphasizes how it also offers solutions: from optimizing energy grids and reducing emissions in industrial sectors to enhancing energy security by supporting infrastructure defenses against cyberattacks. The report calls for immediate investments in both energy generation and grid capabilities, as well as stronger collaboration between the tech and energy sectors to avoid critical bottlenecks. The IEA advises that, for countries

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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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