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Penspen secures major contract for HyNet CO2 pipeline

Engineering consultancy Penspen has secured a multi-million pound contract from United Living Group for a CO2 transportation pipeline connected to HyNet North West. Under the deal, Penspen will deliver the detailed engineering design for the pipeline connected to Italian firm Eni’s Liverpool Bay carbon capture and storage (CCS) project. Penspen, a subsidiary of Dubai-based Sidara, […]

Engineering consultancy Penspen has secured a multi-million pound contract from United Living Group for a CO2 transportation pipeline connected to HyNet North West.

Under the deal, Penspen will deliver the detailed engineering design for the pipeline connected to Italian firm Eni’s Liverpool Bay carbon capture and storage (CCS) project.

Penspen, a subsidiary of Dubai-based Sidara, will handle engineering works for the development of the onshore CO2 pipelines and above ground installations.

The infrastructure will transport captured carbon emissions from industrial emitters in Stanlow to the Liverpool Bay CCS project via the Point of Ayr terminal.

A team of 70 Penspen employees will deliver the contract from a dedicated office in London, with 20 jobs created for the work.

In addition, Penspen said its team in Aberdeen will also support the contract delivery.

Penspen energy transition director Darren Bartlett said: “This is a pivotal award that highlights Penspen’s reputation as specialists in supporting complex energy transition projects, applying over 70 years of international engineering expertise to meet the challenge of decarbonising the UK’s industrial hubs.

© Supplied by Penspen
A Penspen employee inspecting pipeline infrastructure.

“The HyNet North West project will be transformational for the UK’s energy network, and we are proud to be working with United Living to deliver this first-of-its kind project at Liverpool Bay.

“The development of this carbon capture facility will be critical in driving progress towards a cleaner energy future.”

HyNet North West

Eni is advancing the Liverpool Bay CCS project after reaching a financial deal with the UK government, allowing the HyNet industrial decarbonisation cluster to proceed.

Located in north west England, the HyNet North West project will see CO2 emissions captured from industrial emitters around Liverpool and Manchester.

The HyNet project will then transport the captured CO2 for offshore storage in the Liverpool Bay.

The plans also include blue hydrogen production, hydrogen storage and a hydrogen pipeline to decarbonise various industrial processes in the region.

Alongside Eni, partners in the £2 billion HyNet project include EET Hydrogen, cement producer Heidelberg Materials and waste management firm Viridor.

Construction of the Liverpool Bay CCS network will support close to 2,000 direct jobs as well as safeguarding an estimated 350,000 industrial jobs in the region.

Eni has handed United Living Group a wider £250m contract to deliver CO2 transportation and storage infrastructure, which is expected to create 600 jobs.

Italian firm Saipem has also secured a £440m to convert a traditional gas compression and treatment facility at the Point of Ayr in north Wales into a CO2 electrical compression station.

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6 trends that will shape the future of the cloud: Gartner

For this reason, Gartner recommends identifying specific use cases and planning the applications and data distributed across the organization that could benefit from a cross-cloud deployment model. This allows workloads to operate collaboratively across different cloud platforms, as well as different on-premises and co-location facilities. 4. Industry solutions According to

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New England Patriots kick off network upgrade

The longer-term roadmap with NWN includes a refresh of the stadium’s 1,800 Extreme Networks Wi-Fi 6 access points to either Wi-Fi 6E or 7, a refresh of the network’s 80 Cisco physical and virtual firewalls, followed by a network consolidation project. On top of all that, the Kraft Group is

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CompTIA cert targets operational cybersecurity skills

The SecOT+ certification will provide OT professionals with the skills to manage, mitigate, and remediate security risks in manufacturing and critical infrastructure environments, according to CompTIA. The certification program will provide OT positions, such as floor technicians and industrial engineers, as well as cybersecurity engineers and network architects on the

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Spain Boosts Costlier Gas Power to Secure Grid After Blackout

Spain is boosting generation from costlier gas-fired power plants in the wake of a nationwide blackout that raised concerns about the grid’s ability to cope with an abundance of renewable energy.  The output of combined-cycle gas turbines, a more steady generation technology than solar, jumped 37% in the two weeks after the outage, compared with the two weeks prior, data from power grid operator Red Electrica show. Their average share of Spain’s power mix increased to 18% from about 12%.  The collapse of Spain’s power grid left millions without electricity, telephone communication, trains and traffic lights for hours on April 28, including in neighboring Portugal and parts of southern France. The government is still investigating the causes of the blackout, and hasn’t yet clarified which technology was at fault and why, or who’s to blame. Additional CCGTs “are currently being included to reduce the impact that an abrupt output change may have over voltages,” Red Electrica said in response to questions.  Following strong oscillations in the grid, about 2.2 gigwatts of capacity went offline in the south of Spain less than a minute before the complete collapse of the Iberian Peninsula’s electricity systems, Deputy Prime Minister Sara Aagesen told lawmakers last week. RBC Capital Markets analysts were among those saying that the most likely culprits were solar farms due to a lack of grid-forming inverters that help stabilize photo-voltaic output.  Aagesen said in an interview to Spanish radio station RNE on Thursday that pointing the finger at solar and the grid’s ability to deal with so much renewable energy is “simplistic.” The system is robust and has had many days with as much or more solar in the mix than on the day of the blackout, she argued.  Still, energy regulator CNMC head Cani Fernandez told lawmakers that the system

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ADNOC Signs Agreements for Potential $60B of USA Investments

ADNOC said it has entered into multiple agreements with U.S. energy majors for a potential $60 billion of U.S. investments into United Arab Emirates (UAE) energy projects. The agreements were made during the UAE-US business dialogue with President Donald Trump, the company said in a news release. The agreements include a field development plan with ExxonMobil and INPEX/JODCO to expand the capacity of Abu Dhabi’s Upper Zakum offshore field through phased development, according to the release. ADNOC said it signed a strategic collaboration agreement with Occidental Petroleum targeting to boost the production capacity of Shah Gas field’s capacity to 1.85 billion standard cubic feet per day (Bscfd) of natural gas from 1.45 bscfd, as well as accelerate the deployment of advanced technologies in the field. Building on its investment plans for the USA, ADNOC’s global energy investment firm XRG signed a framework agreement with Occidental subsidiary 1PointFive to evaluate a potential investment in a direct air capture (DAC) project in Kleberg County, Texas. The facility aims to remove up to 500,000 tons of carbon dioxide (CO2) per year using commercial-scale DAC technology, with XRG considering a capital commitment of up to one-third of the project’s total development cost, the release said. Abu Dhabi’s Supreme Council for Financial and Economic Affairs (SCFEA) also granted a new unconventional oil exploration concession to EOG Resources Inc. The award is for Unconventional Onshore Block 3, which covers a 1393.4-square-mile (3,609 square-kilometer) area within the Al Dhafra region of Abu Dhabi. ADNOC stated it would oversee and assist with all exploration activities in the concession and has the option to join a subsequent production concession. The phased field development plan for Upper Zakum will leverage artificial intelligence and industry-leading technologies and the deep expertise and strong partnership between ADNOC, ExxonMobil, and INPEX/JODCO “to sustainably grow

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Strathcona Bares Unsolicited Bid for MEG, Sells Montney Assets

Strathcona Resources Ltd. said it has entered into definitive agreements to divest “substantially all of its Montney assets” for about CAD 2.84 billion ($2.04 billion), as it prepares to make a hostile bid to take over fellow Canadian thermal oil producer MEG Energy Corp. The Montney exit and the planned merger with MEG will allow Strathcona to become a pure-play heavy oil producer, it said. The bulk of the Montney sale consists of Strathcona’s Kakwa business, to be acquired by ARC Resources Ltd. for around CAD 1.7 billion. The transaction value comprises CAD1.65 billion in cash and approximately CAD 45 million in assumed lease obligations. The sale is expected to be completed in the third quarter, subject to regulatory approvals and other customary conditions. Strathcona is also selling its Grande Prairie business for about CAD 850 million, inclusive of about CAD 100 million in assumed lease obligations, to an unnamed buyer. The sale is also expected to close next quarter. The Groundbirch business rounds up the Montney sales. It will go to Tourmaline Oil Corp. in exchange for CAD 291.5 million worth of shares being issued to Strathcona. The parties expect to conclude the transaction by June. The Monetney dispositions produced 72,000 barrels of oil equivalent a day (boed), 28 percent of which were oil and condensates, last year. They had proven and probable reserves of 635 million boe as of December 2024, according to Strathcona. “Taken together, the disposed assets generated CAD 149 million of operating earnings in 2024 (12 percent of total Strathcona year-end 2024 operating earnings, excluding interest and other corporate items) and had a YE 2024 proved PV-10 before-tax of approximately CAD 2.3 billion (15 percent of total Strathcona YE 2024 proved PV-10), while the combined sale price represents approximately 33 percent of Strathcona’s current enterprise

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OPEC+ Did Not Lift Production to Kill the Oil Price, SEB Says

OPEC+ did not lift production by 400,000 barrels per day in May and June to kill the oil price and to go full throttle on an oil price war. That’s what Bjarne Schieldrop, Chief Commodities Analyst at Skandinaviska Enskilda Banken AB (SEB), said in an oil report sent to Rigzone by the SEB team on Friday, adding that the group did it to meet added demand for oil in the Middle East, “which rise[s] significantly in summertime due to air conditioning and religious pilgrimage to Saudi Arabia”. “The plan of lifting production by 2.1 million barrels per day by December 2026 has not at all been abandoned,” Hvalbye stated in the report. “It is still a monthly decision of what to do. Lift production or even reduce production if needed,” he added. “The global oil market is still tight as of today [Friday] with consumers asking for more than what producers are giving them. Thus, the front-end backwardation,” he continued. “While there is no sign of a blasting price war emerging between OPEC+ and U.S. shale oil producers, it is still clear that U.S. shale oil producers will have to shed the needed volume to make room for more oil from OPEC+ to December 2026 to the magnitude of 2.1 million barrels per day added supply from the group,” Hvalbye went on to state. In a BMI report sent to Rigzone by the Fitch Group on Friday, BMI analysts said, “with OPEC+ continuing to increase production at faster pace than earlier guidance the risk of oversupply remains”. The analysts noted in that report that they continue to hold to their current forecast for Brent crude to average $68 per barrel in 2025. In a BofA Global Research report sent to Rigzone on Friday, BofA analysts stated that successive months of

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Technology helps utilities serve their most vulnerable customers

According to the U.S. Energy Information Administration, 34 million U.S. households struggle to pay their energy bills. As advocates, regulators, and utilities adopt more ways to mitigate costs and support consumers during these challenging times, one resource remains underutilized: digital tools. Every industry is embracing technology across their operations, and the utility sector is no exception. Digital tools enable utility customers to make day-to-day choices that can improve energy affordability for them—helping them choose the best rate plan, coaching them on how and when to optimize their usage, and promoting the benefits of targeted programs and services. Some programs offer financial assistance, and this is where digital tools can make an outsized impact on affordability: by identifying and enrolling more of the utility’s most vulnerable customers.   While financial assistance is available, only about 1 in 6 eligible households end up receiving aid. After interviewing utility executives as well as low- and moderate-income utility customers around the U.S., Oracle Utilities researchers found that lack of awareness came up repeatedly as one of the main issues that keeps these households from receiving assistance. How are people finding help today? For decades, low-income customers have learned about assistance programs by attending events hosted by community action agencies or utilities to apply for assistance. These in-person events are often critical for elderly customers and others who need help filling out paperwork. While face-to-face assistance is still considered best practice, some low-income customers often cannot attend in person. Many find transportation challenging, and many also juggle multiple jobs, have responsibility for child or elder care, experience mobility challenges, or contend with other disabilities that make in-person events difficult. One research participant shared frustrations about going to her local social services agency: “There were a lot of people lined up there. We probably waited for

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Keep 3 key factors in mind for successful fleet electrification

We’re making progress toward electrifying America’s transportation fleet. While challenges remain on the road ahead, the future is bright with the promise of long-term cost savings, energy independence and operational efficiency.  While conventional internal combustion engine (ICE) vehicles have long been the backbone of the American automotive industry, electric vehicles (EVs) present an opportunity to reduce fuel expenses, lower maintenance costs and strengthen domestic energy security.  For fleet operators, making the transition requires a strategic approach. Here are three key factors that organizations looking to electrify their fleets should weigh when making the important commitment to go electric.  Choose the Right EVs  While it might sound simple to replace a diesel or gasoline-powered fleet with an EV alternative, it’s important to understand how your vehicles operate so that performance demands are accounted for.  The first step is to analyze duty cycles for the EVs: What will be the demands for range, load capacity, idle times and charging opportunities?  A last-mile delivery van operating in a dense urban environment with predictable routes and frequent stops and starts may prove to be well suited for electrification. Meanwhile, a long-haul Class 8 truck that covers hundreds of miles per day will require a completely different use case analysis. Charging logistics and battery range limitations should be carefully considered.  Payload and driving conditions will be right at the top of the list of considerations. While fuel economy for ICE vehicles depends on engine efficiency, optimal performance for EVs will depend on battery size, regenerative braking opportunities and energy consumption per mile. The regenerative braking opportunities for EVs operating in dense urban environments, for example, will extend the range compared with similar vehicles operating with fewer braking opportunities in suburban or rural settings.  Temperature and environmental considerations also must be weighed. Battery performance varies with

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Liquid cooling becoming essential as AI servers proliferate

“Facility water loops sometimes have good water quality, sometimes bad,” says My Troung, CTO at ZutaCore, a liquid cooling company. “Sometimes you have organics you don’t want to have inside the technical loop.” So there’s one set of pipes that goes around the data center, collecting the heat from the server racks, and another set of smaller pipes that lives inside individual racks or servers. “That inner loop is some sort of technical fluid, and the two loops exchange heat across a heat exchanger,” says Troung. The most common approach today, he says, is to use a single-phase liquid — one that stays in liquid form and never evaporates into a gas — such as water or propylene glycol. But it’s not the most efficient option. Evaporation is a great way to dissipate heat. That’s what our bodies do when we sweat. When water goes from a liquid to a gas it’s called a phase change, and it uses up energy and makes everything around it slightly cooler. Of course, few servers run hot enough to boil water — but they can boil other liquids. “Two phase is the most efficient cooling technology,” says Xianming (Simon) Dai, a professor at University of Texas at Dallas. And it might be here sooner than you think. In a keynote address in March at Nvidia GTC, Nvidia CEO Jensen Huang unveiled the Rubin Ultra NVL576, due in the second half of 2027 — with 600 kilowatts per rack. “With the 600 kilowatt racks that Nvidia is announcing, the industry will have to shift very soon from single-phase approaches to two-phase,” says ZutaCore’s Troung. Another highly-efficient cooling approach is immersion cooling. According to a Castrol survey released in March, 90% of 600 data center industry leaders say that they are considering switching to immersion

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Cisco taps OpenAI’s Codex for AI-driven network coding

“If you want to ask Codex a question about your codebase, click “Ask”. Each task is processed independently in a separate, isolated environment preloaded with your codebase. Codex can read and edit files, as well as run commands including test harnesses, linters, and type checkers. Task completion typically takes between 1 and 30 minutes, depending on complexity, and you can monitor Codex’s progress in real time,” according to OpenAI. “Once Codex completes a task, it commits its changes in its environment. Codex provides verifiable evidence of its actions through citations of terminal logs and test outputs, allowing you to trace each step taken during task completion,” OpenAI wrote. “You can then review the results, request further revisions, open a GitHub pull request, or directly integrate the changes into your local environment. In the product, you can configure the Codex environment to match your real development environment as closely as possible.” OpenAI is releasing Codex as a research preview: “We prioritized security and transparency when designing Codex so users can verify its outputs – a safeguard that grows increasingly more important as AI models handle more complex coding tasks independently and safety considerations evolve. Users can check Codex’s work through citations, terminal logs and test results,” OpenAI wrote.  Internally, technical teams at OpenAI have started using Codex. “It is most often used by OpenAI engineers to offload repetitive, well-scoped tasks, like refactoring, renaming, and writing tests, that would otherwise break focus. It’s equally useful for scaffolding new features, wiring components, fixing bugs, and drafting documentation,” OpenAI stated. Cisco’s view of agentic AI Patel stated that Codex is part of the developing AI agent world, where Cisco envisions billions of AI agents will work together to transform and redefine the architectural assumptions the industry has relied on. Agents will communicate within and

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US companies are helping Saudi Arabia to build an AI powerhouse

AMD announced a five-year, $10 billion collaboration with Humain to deploy up to 500 megawatts of AI compute in Saudi Arabia and the US, aiming to deploy “multi-exaflop capacity by early 2026.” AWS, too, is expanding its data centers in Saudi Arabia to bolster Humain’s cloud infrastructure. Saudi Arabia has abundant oil and gas to power those data centers, and is growing its renewable energy resources with the goal of supplying 50% of the country’s power by 2030. “Commercial electricity rates, nearly 50% lower than in the US, offer potential cost savings for AI model training, though high local hosting costs due to land, talent, and infrastructure limit total savings,” said Eric Samuel, Associate Director at IDC. Located near Middle Eastern population centers and fiber optic cables to Asia, these data centers will offer enterprises low-latency cloud computing for real-time AI applications. Late is great There’s an advantage to being a relative latecomer to the technology industry, said Eric Samuel, associate director, research at IDC. “Saudi Arabia’s greenfield tech landscape offers a unique opportunity for rapid, ground-up AI integration, unburdened by legacy systems,” he said.

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AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers

Humain will deploy the Nvidia Omniverse platform as a multi-tenant system to drive acceleration of the new era of physical AI and robotics through simulation, optimization and operation of physical environments by new human-AI-led solutions. The AMD deal did not discuss the number of chips involved in the deal, but it is valued at $10 billion. AMD and Humain plan to develop a comprehensive AI infrastructure through a network of AMD-based AI data centers that will extend from Saudi Arabia to the US and support a wide range of AI workloads across corporate, start-up, and government markets. Think of it as AWS but only offering AI as a service. AMD will provide its AI compute portfolio – Epyc, Instinct, and FPGA networking — and the AMD ROCm open software ecosystem, while Humain will manage the delivery of the hyperscale data center, sustainable power systems, and global fiber interconnects. The partners expect to activate a multi-exaflop network by early 2026, supported by next-generation AI silicon, modular data center zones, and a software platform stack focused on developer enablement, open standards, and interoperability. Amazon Web Services also got a piece of the action, announcing a more than $5 billion investment to build an “AI zone” in the Kingdom. The zone is the first of its kind and will bring together multiple capabilities, including dedicated AWS AI infrastructure and servers, UltraCluster networks for faster AI training and inference, AWS services like SageMaker and Bedrock, and AI application services such as Amazon Q. Like the AMD project, the zone will be available in 2026. Humain only emerged this month, so little is known about it. But given that it is backed by Crown Prince Salman and has the full weight of the Kingdom’s Public Investment Fund (PIF), which ranks among the world’s largest and

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Check Point CISO: Network segregation can prevent blackouts, disruptions

Fischbein agrees 100% with his colleague’s analysis and adds that education and training can help prevent such incidents from occurring. “Simulating such a blackout is impossible, it has never been done,” he acknowledges, but he is committed to strengthening personal and team training and risk awareness. Increased defense and cybersecurity budgets In 2025, industry watchers expect there will be an increase in the public budget allocated to defense. In Spain, one-third of the budget will be allocated to increasing cybersecurity. But for Fischbein, training teams is much more important than the budget. “The challenge is to distribute the budget in a way that can be managed,” he notes, and to leverage intuitive and easy-to-use platforms, so that organizations don’t have to invest all the money in training. “When you have information, management, users, devices, mobiles, data centers, clouds, cameras, printers… the security challenge is very complex. You have to look for a security platform that makes things easier, faster, and simpler,” he says. ” Today there are excellent tools that can stop all kinds of attacks.” “Since 2010, there have been cybersecurity systems, also from Check Point, that help prevent this type of incident from happening, but I’m not sure that [Spain’s electricity blackout] was a cyberattack.” Leading the way in email security According to Gartner’s Magic Quadrant, Check Point is the leader in email security platforms. Today email is still responsible for 88% of all malicious file distributions. Attacks that, as Fischbein explains, enter through phishing, spam, SMS, or QR codes. “There are two challenges: to stop the threats and not to disturb, because if the security tool is a nuisance it causes more harm than good. It is very important that the solution does not annoy [users],” he stresses. “As almost all attacks enter via e-mail, it is

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HPE ‘morphs’ private cloud portfolio with improved virtualization, storage and data protection

What do you get when combining Morpheus with Aruba? As part of the extensible platform message that HPE is promoting with Morpheus, it’s also working in some capabilities from the broader HPE portfolio. One integration is with HPE Aruba for networking microsegmentation. Bhardwaj noted that a lot of HPE Morpheus users are looking for microsegmentation in order to make sure that the traffic between two virtual machines on a server is secure. “The traditional approach of doing that is on the hypervisor, but that costs cycles on the hypervisor,” Bhardwaj said. “Frankly, the way that’s being delivered today, customers have to pay extra cost on the server.” With the HPE Aruba plugin that now works with HPE Morpheus, the microsegmentation capability can be enabled at the switch level. Bhardwaj said that by doing the microsegmentation in the switch and not the hypervisor, costs can be lowered and performance can be increased. The integration brings additional capabilities, including the ability to support VPN and network address translation (NAT) in an integrated way between the switch and the hypervisor. VMware isn’t the only hypervisor supported by HPE  The HPE Morpheus VM Essentials Hypervisor is another new element in the HPE cloud portfolio. The hypervisor is now being integrated into HPE’s private cloud offerings for both data center as well as edge deployments.

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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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