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Equinor sees first-quarter profit grow year-on-year

Equinor saw its first-quarter profit grow, making an adjusted operating income of $8.65bn compared to the $7.53bn seen in the first quarter of 2024. According to its results, the Norwegian energy major also beat the $8.51bn previously predicted in a poll of 20 analysts Equinor compiled. Equinor president and CEO Anders Opedal said: “Equinor delivers […]

Equinor saw its first-quarter profit grow, making an adjusted operating income of $8.65bn compared to the $7.53bn seen in the first quarter of 2024.

According to its results, the Norwegian energy major also beat the $8.51bn previously predicted in a poll of 20 analysts Equinor compiled.

Equinor president and CEO Anders Opedal said: “Equinor delivers strong financial results in the first quarter. I am pleased to see the good operational performance and solid production capturing higher gas prices. With the current market uncertainties, Equinor’s core objective is safe, stable and cost efficient operations and resilience through a strong balance sheet.”

“We maintain a competitive capital distribution and expect to deliver a total of $9bn in 2025.”

However, Equinor’s total equity production was down, coming in at 2.123 million boe per day in the first quarter compared to 2.164 million boe in the same quarter of last year.

The company said that it experienced a strong operational performance for most of the fields on Norwegian continental shelf, with Johan Sverdrup and Troll fields helping offset the impact of the shut-in at Sleipner B after the fire in fourth quarter 2024 and planned and unplanned maintenance at Hammerfest LNG.

In addition, its total power generation from its renewable portfolio was 0.76 TWh, on par with the same period last year.

Opedal added: “The production start-up of the Johan Castberg field strengthens Norway’s role as a reliable energy exporter to Europe. The field opens a new region in the Barents Sea and is expected to contribute to energy supply, value creation and ripple effects for at least 30 years to come.”

However, he criticised the recent halt work order issued by the US government on the offshore construction of the company’s Empire Wind project.

Having obtained the lease in 2017, the project was fully permitted in 2024.

“We have invested in Empire Wind after obtaining all necessary approvals, and the order to halt work now is unprecedented and in our view unlawful,” Opedal said.

“This is a question of the rights and obligations granted under legally issued permits, and security of investments based on valid approvals. We seek to engage directly with the US Administration to clarify the matter and are considering our legal options.”

Equinor is complying with the order and is seeking dialogue with the proper authorities and assessing legal options.

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HPE Aruba boosts NAC security, adds GreenLake ‘kill switch’

In addition, HPE Aruba tightened the integration between HPE Aruba Networking Central and HPE OpsRamp, the technology HPE bought in 2023 to manage hybrid and multicloud environments. OpsRamp monitors elements such as third-party switches, access points, firewalls, and routers. Tighter integration expands the ability to natively monitor third-party devices from vendors such as Cisco, Arista,

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Repsol, Bunge Partner on Renewable Fuel Feedstocks

Repsol SA and Bunge Global SA are working together to scale up the adoption of intermediate novel crops as feedstocks for renewable fuel production. “Specifically, camelina and safflower will be processed into low-carbon intensity oils and used as feedstock to produce hydrotreated vegetable oil, a fully compatible drop-in replacement for conventional diesel fuel or sustainable aviation fuel for the decarbonization of air travel”, a joint statement said. “This marks a significant step forward in feedstock innovation to produce renewable fuels in Europe. “Intermediate novel crops expand the available pool of low-carbon intensity feedstocks to produce renewable fuel, with emission reductions of up to 90 percent compared to conventional diesel. “Repsol will utilize advanced technology in its industrial assets to convert these oils into renewable fuel, creating a new pathway for the development of renewable fuels in Spain”. The Spanish integrated energy company recently acquired a 40 percent stake in three industrial facilities under Bunge Iberica, one of the subsidiaries of vegetable oil major producer Bunge in the Iberian Peninsula. The acquisition, valued $300 million plus up to $40 million in contingent payments, increases Repsol’s access to low-carbon feedstocks to produce renewable fuels as it aims to reach 1.7 million metric tons of annual renewable fuel production by 2027. Meanwhile Bunge sees the partnership as part of its efforts to establish alternative paths to help decarbonize the agricultural and plant oil supply chains. “Renewable fuels are a fundamental pillar for Repsol on our road to becoming zero net emissions by 2050, and intermediate crops must play a key role in guaranteeing the supply of the low-carbon feedstocks necessary to produce these fuels”, said Juan Abascal, Repsol’s executive managing director for industrial transformation and circular economy. Julio Garros, co-president for agribusiness at Bunge, said, “Through industry collaborations, we are adding new oil

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GeoPark Names Felipe Bayon as New CEO

Latin American oil and gas firm GeoPark Limited has appointed Felipe Bayon as its new CEO and director, effective June 1. Bayon succeeds Andres Ocampo, who is stepping down from the role due to personal reasons, the company said in a news release. Bayon is recognized as one of the most effective energy executives in Latin America with more than three decades of accomplishments in the international oil and gas industry, GeoPark said. From 2017 to 2023, Bayon was CEO of Bogota, Colombia-based Ecopetrol, where he led 18,000 employees, oversaw production of approximately 700,000 barrels of oil equivalent per day (boepd) and revenues of over $30 billion. He brought Ecopetrol into the unconventional Permian Basin in the USA in partnership with Occidental Petroleum—a project that grew from 0 to around 150,000 barrels per day (bpd) gross in four years, as well as into the Brazilian ultra-deep water pre-salt play in partnership with Shell, according to the release. Bayon is a mechanical engineer who began his career in 1991 with Shell in field operations and projects and then moved to BP plc where he worked for 21 years. He also served as the CEO of Pan American Energy, one of the private hydrocarbon producers in Argentina, from 2005 to 2010. He has served on multiple boards across the energy, utilities, education, and technology sectors, GeoPark said. Ocampo, who served as the company’s CEO for three years and CFO for more than eight years, will continue to support the company and ensure a seamless handover, GeoPark said. Sylvia Escovar, Chair of GeoPark’s board said, “The board is very pleased to welcome Felipe Bayon to GeoPark. We believe he will be a catalyst to unlock the abundant opportunities in our region and drive us to transformational growth. Felipe is a true explorer, operator,

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Afreximbank Forms $3B Fund for Africa, Caribbean Oil Import Needs

The African Export-Import Bank (Afreximbank) has launched a $3-billion financing platform to help countries in the continent and the Caribbean bridge the cost of importing refined petroleum products. The Revolving Intra-African Oil Trade Financing Program only supports importation from African refineries. Afreximbank expects the program to back about $10-14 billion of imports. The Cairo-based bank said refined products have accounted for $30 billion of annual oil import costs in Africa, driven by inadequate refining capacity. “This program seeks to leverage the growing refining capacity that Afreximbank has helped establish across the continent, while aligning with the objectives of the African Continental Free Trade Area agreement, which includes facilitating intra-African trade, promoting industrialization, and creating jobs on the continent”, it said in an online statement. “Afreximbank is on its way to creating over 1.3 million bpd refining capacity and helping to convert the Gulf of Guinea from an exporter of crude oil into an important refining hub for the continent and the world”, the bank said. It said it has financed refineries in Angola, Cote d’Ivoire and Nigeria, including the Dangote refinery, which started production last year as Africa’s biggest refinery with a capacity of 650,000 barrels per day (bpd). The funding program will “mainly provide critical trade finance to oil traders (both African and international), banks, and Governments – represented by their Ministry of Finance or Ministry of Petroleum Resources/Energy – and state-owned enterprises mandated to import refined petroleum products, who seek to source refined products from African Refineries for onward consumption within the continent and export opportunities as may be applicable”, the bank said. Afreximbank president and chair Benedict Oramah said, “Whilst the program will have a direct impact on the volume of the refined petroleum products produced and consumed in Africa, it will also have a multiplier effect on the

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UK’s energy transition a ‘massive opportunity’, says NSTA chief

The UK’s transition towards zero emissions presents a “massive opportunity”, according to the chief of the body responsible for the North Sea transition. North Sea Transition Authority (NSTA) chief executive Stuart Payne said, while speaking at the Innovation Zero conference at Kensington Olympia in London on Tuesday, that carbon capture and storage will enable the country to realise its climate targets. The NSTA has a mandate to enable the orderly transition of oil and gas projects in the North Sea, and it can issue fines to operators that fail to decommission old assets, but it is ultimately responsible for ensuring that value is extracted from the region’s natural resources. While the body has the capacity to fine operators up to £1 million for failing to decommission old oil and gas platforms, to date it has taken only limited action to clamp down on delayed decommissioning. “The government is currently consulting on its vision for the future of the North Sea,” said Payne. “The consultation covers many things including licensing, skills and the workforce. But at its core is a recognition of the importance of managing the transition from oil and gas. “If we get it right, the North Sea can have a prosperous future which creates and safeguards employment and generates multibillion pound investments in all offshore energy projects. If we get it wrong, we risk losing the vital support of the public and from investors and risk missing out on opportunities for growth, jobs and energy security.” The regulator’s chief said that despite efforts to decarbonise, he expects oil and gas will remain “part of the picture for decades to come”. Two carbon capture and storage projects have been permitted in five months, the NSTA said, which in Payne’s view will enable the UK to grow its economy on

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TotalEnergies Launches Another $2B Buyback Plan even as Profit Falls

TotalEnergies SE said Wednesday it would repurchase up to $2 billion worth of shares in the second quarter (Q2), even as its Q1 earnings dropped. The French energy giant redeemed 33.3 million shares in the January-March 2025 quarter for $2 billion, according to quarterly results it published online. TotalEnergies’ board also approved a first interim dividend for 2025 of EUR 0.85 per share ($0.97). That is the same as the prior quarter’s rate but up 7.6 percent from the first three interim dividends of 2024. Chief executive Patrick Pouyanne said the newly declared payouts reflect TotalEnergies’ confidence in its balance sheet despite “a softening price environment with Brent below $70/b [per barrel] since the beginning of April and an uncertain geopolitical and macroeconomic context”. Adjusted net income declined 18 percent against Q1 2024 to $4.19 billion as weaker oil prices offset higher natural gas and liquefied natural gas prices, as well as higher production. Adjusted net profit per share post-dilution was $1.83. TotalEnergies opened lower at EUR 51.19 in Paris on results day. Hydrocarbon output totaled 2.56 million barrels of oil equivalent a day (MMboed), up 4 percent year-over-year thanks to “the continued ramp-up of projects in Brazil, the United States, Malaysia, Argentina and Denmark”, Pouyanne said. Production comprised 1.36 MMbd of oil including bitumen and 1.2 MMboed of gas including condensates and associated natural gas liquids. “The start-ups of the Ballymore offshore field in the United States during the second quarter and Mero-4 in Brazil expected in the third quarter will continue to add high-margin barrels and further reinforce the Company’s 2025 hydrocarbon production growth objective of more than 3 percent”, Pouyanne added. The exploration and production segment generated $2.45 billion in adjusted net operating profit, down 4 percent year-over-year. Integrated LNG logged $1.29 billion in adjusted net operating profit,

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Aberdeen drilling services firm Enteq Technologies enters administration

Engineering services firm Enteq Technologies has entered administration after failing to find a buyer. The AIM-listed company experienced a sharp drop in its share price in recent weeks after warning of cash flow issues from the development of its SABER drilling technology. The SABER (Steer-At-Bit Enteq Rotary Tool) is an alternative to traditional rotary steerable systems. Enteq acquired an exclusive licence for the SABER technology from Shell in 2019, before embarking on efforts to commercialise the technology. Alongside oil and gas applications, the SABER tool can also be used in geothermal drilling and methane capture. A year ago, the Enteq’s shares traded a £9, but this had fallen to 43p before trading was suspended. In a statement to the market, Enteq said while the company “continues to require funding” the board “now no longer considers that suitable funding can be realistically raised”. “The board has continued to seek advice on its appropriate next steps, and regrettably has concluded that, after detailed consideration of the company’s current financial situation, it will not be able to meet its liabilities as they fall due and is therefore required to take the necessary steps to seek to preserve value for creditors,” the statement continued. According to documents submitted to Companies House, Enteq reported a $3.2 million (£2.4m) loss in 2024, which came after a $1.7m (£1.27m) loss in 2023. Enteq expanded into Aberdeen in 2023 in an attempt to drive sales of the SABER product in the North Sea. At the time, the company employed 11 people across the UK and the US. The company also maintained offices in Cheltenham and Houston alongside its London headquarters.

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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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Colorado Eyes the AI Data Center Boom with Bold Incentive Push

Even as states work on legislation to limit data center development, it is clear that some locations are looking to get a bigger piece of the huge data center spending that the AI wave has created. It appears that politicians in Colorado took a look around and thought to themselves “Why is all that data center building going to Texas and Arizona? What’s wrong with the Rocky Mountain State?” Taking a page from the proven playbook that has gotten data centers built all over the country, Colorado is trying to jump on the financial incentives for data center development bandwagon. SB 24-085: A Statewide Strategy to Attract Data Center Investment Looking to significantly boost its appeal as a data center hub, Colorado is now considering Senate Bill 24-085, currently making its way through the state legislature. Sponsored by Senators Priola and Buckner and Representatives Parenti and Weinberg, this legislation promises substantial economic incentives in the form of state sales and use tax rebates for new data centers established within the state from fiscal year 2026 through 2033. Colorado hopes to position itself strategically to compete with neighboring states in attracting lucrative tech investments and high-skilled jobs. According to DataCenterMap.com, there are currently 53 data centers in the state, almost all located in the Denver area, but they are predominantly smaller facilities. In today’s era of massive AI-driven hyperscale expansion, Colorado is rarely mentioned in the same breath as major AI data center markets.  Some local communities have passed their own incentive packages, but SB 24-085 aims to offer a unified, statewide framework that can also help mitigate growing NIMBY (Not In My Backyard) sentiment around new developments. The Details: How SB 24-085 Works The bill, titled “Concerning a rebate of the state sales and use tax paid on new digital infrastructure

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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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