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Sayma Cox new venture seeks non-operated partnerships

Sayma Cox, former CEO of Aberdeen-based North Sea Midstream Partners (NSMP), has revealed plans for her new venture. Concordia Energy, a brand-new oil and gas company set to launch this month aims to “do business differently,” Cox says. “In the complex world of dealmaking, mergers and acquisitions, Concordia Energy’s business model is crystal clear. With […]

Sayma Cox, former CEO of Aberdeen-based North Sea Midstream Partners (NSMP), has revealed plans for her new venture.

Concordia Energy, a brand-new oil and gas company set to launch this month aims to “do business differently,” Cox says.

“In the complex world of dealmaking, mergers and acquisitions, Concordia Energy’s business model is crystal clear. With a global reach, we will invest in existing producing assets with a non-operated stake,” she explains.

“Our vision is to be the world’s leading non-operated oil and gas partner, recognised for our ability to align joint ventures, unlock hidden value, and drive superior performance.”

It comes at a time when the energy sector is seeing frequent reports of oil and gas company portfolio divestments, mergers and strategic moves away from the UK.

“These are exciting times for an agile, well-funded business,” Cox adds. “We know a good asset when we see one and we know how to partner to maximise value.”

Cox’s career in oil and gas spans 27 years, having started as a drilling engineer for ConocoPhillips in the North Sea.

She also worked globally for major players including Woodside, Dubai Petroleum, Petrofac, Maersk Oil and bp, where she oversaw around 400 of their non-operated joint ventures in 60 countries.

Her most recent role was as CEO of NSMP, from which she stepped down last December to focus on her new venture.

“This is a modern business unconstrained by legacy politics or a hierarchy which makes decisions difficult,” Cox says.

“We will run a lean team and leverage our skill sets to identify opportunities, enhancing our research powers with the extraordinary power of AI to analyse targets, meaning we only go after opportunities that fully match our exacting criteria.

“The upside for potential partners is that our size and agility will streamline the dealmaking process, whilst our partnering experience means that once we are locked in, we can make a difference. In fact, the golden thread through all of this is around partnering to get the most out of the assets.

“The industry is changing but the need for hydrocarbons is not going away any time soon. Concordia Energy’s base of intelligence, experience and financial independence means we are strongly positioned to harvest the best JV opportunities and build a powerful, lower risk, diverse global portfolio.”

Sayma also serves as a member of the newly formed PRAGMA Energy advocacy committee and was recently appointed as a non-executive director on the board of Energean.

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Trump meets with Intel CEO after calling for his resignation

The call for Tan’s resignation coincided with an Aug. 6 letter Sen. Tom Cotton (R-AK) sent to Intel Chairman Frank Yeary, in which he expressed concerns about “Intel’s operations and its potential impact on U.S. national security,” citing a report alleging Tan’s links to Chinese firms and the fact Cadence

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US to maintain lower tariff rates on China imports for 90 more days

The U.S. is extending its pause on additional retaliatory tariffs for imports from China until Nov. 10, according to an executive order signed by President Donald Trump on Monday. The order said the extension is appropriate following “significant steps” from China on addressing U.S. trade concerns in ongoing discussions between the

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Critical SSH vulnerabilities expose enterprise network infrastructure as patching lags

RegreSSHion (CVE-2024-6387) proved particularly dangerous, enabling unauthenticated remote code execution through a signal reentrance vulnerability in OpenSSH. The vulnerability affected countless Linux systems and network appliances running vulnerable OpenSSH versions, though exploitation proved challenging due to modern memory protections. The MOVEit vulnerability (CVE-2024-5806) demonstrated how third-party SSH libraries could introduce

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Portland General energizes 1.9 GWh of lithium batteries in major storage expansion

Portland General Electric announced Thursday it has brought a trio of battery projects online totaling 475 MW/1.9 GWh to maintain reliability and limit price volatility in the metropolitan area. The three projects bring PGE’s large-scale battery storage capacity to 492 MW, representing a significant expansion. Energy storage plays “an important role in helping PGE build a more flexible, reliable and diverse generation portfolio,” Darrington Outama, PGE’s senior director of energy supply, said in a statement. Along with providing energy during hours of grid stress, batteries “enhance our ability to respond to sudden changes in the grid and help keep energy supply and demand balanced,” he said. The four-hour batteries are “strategically located at key substations” in North Portland, Troutdale and Hillsboro, Oregon, PGE said. They will reduce the utility’s need for expensive short-term electricity purchases and support the integration of intermittent sources like wind and solar, the utility said. The projects include: The 200-MW Seaside project, located in North Portland and developed for the utility by Eolian under a fixed-cost build-transfer agreement. The project began commercial operations in July. The 200-MW Sundial project in Troutdale, developed by Eolian and operated by NextEra Energy Resources under a 20-year storage capacity agreement with PGE. Sundial came online in December. The 75-MW Constable facility in Hillsboro, which was constructed for PGE under an engineering, procurement and construction agreement with Mortenson. The facility achieved commercial operation in December. Eolian won the Seaside and Sundial projects as part of an all-source request for proposals PGE held in 2021. “Battery energy storage systems sited at major substations radically improve the use of existing high voltage transmission lines, avoiding expensive or challenging new grid upgrades and providing a low-cost load growth solution through existing infrastructure,” Eolian CEO Aaron Zubot said in a statement. PGE also has a 17 MW Coffee

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Joint Statement on Protecting American Consumers and Shipping Industries by Defeating the International Maritime Organization’s “Net-Zero Framework” aka Global Carbon Tax

The text of the following statement was released by Secretary of State Marco Rubio, Secretary of Commerce Howard Lutnick, Secretary of Energy Chris Wright, and Secretary of Transportation Sean Duffy. Begin Text: President Trump has made it clear that the United States will not accept any international environmental agreement that unduly or unfairly burdens the United States or harms the interests of the American people. This October, members of the International Maritime Organization (IMO) are poised to consider the adoption of a so-called “Net-Zero Framework,” aimed at reducing global greenhouse gas emissions from the international shipping sector. Whatever its stated goals, the proposed framework is effectively a global carbon tax on Americans levied by an unaccountable UN organization. These fuel standards would conveniently benefit China by requiring the use of expensive fuels unavailable at global scale. These standards would also preclude the use of proven technologies that fuel global shipping fleets, including lower emissions options where U.S. industry leads such as liquified natural gas (LNG) and biofuels. Under this framework, ships will have to pay fees for failing to meet unattainable fuel standards and emissions targets. These fees will drive up energy and transportation and leisure cruise costs. Even small vessels would incur millions of dollars in fees, directly driving up costs for American consumers. The Trump Administration unequivocally rejects this proposal before the IMO and will not tolerate any action that increases costs for our citizens, energy providers, shipping companies and their customers, or tourists. We will fight hard to protect the American people and their economic interests. Our fellow IMO members should be on notice that we will look for their support against this action and not hesitate to retaliate or explore remedies for our citizens should this endeavor fail. End Text.

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Texas PUC executes $216M loan for NRG 456-MW gas plant

NRG Energy will develop two gas units totaling 456 MW of capacity at its existing TH Wharton Generating Station in Houston, using a low-interest loan from the Texas Energy Fund that voters approved in 2023, state regulators announced on Aug. 4. The loan agreement between the Public Utility Commission of Texas and NRG is the second finalized under the TEF’s In-ERCOT Generation Loan Program, designed to incentivize development of new gas plants in the Electric Reliablility Council of Texas market. ERCOT, the grid operator for most of Texas, is anticipating about 152 GW of new load by 2030. “Demand for electricity across Texas is surging, and we’re working quickly to supply new dispatchable natural gas generation to the grid,” NRG Executive Vice President Robert Gaudette said in a statement. The new units are expected to begin generating next summer, NRG said. Last year, the commission selected 17 gas-fired generation projects totaling almost 10 GW to potentially receive state-backed loans. About a third of that capacity has been canceled or withdrawn amid escalating project costs and supply chain challenges, however. Under the loan agreement with NRG, total project costs are estimated to be less than $360 million, and the commission is providing a 20-year TEF loan up to $216 million, or 60% of total cost, at a 3% interest rate. The loan term runs through July 30, 2045. “This new power plant marks another major investment in Texas and in the ERCOT grid, helping prepare our state’s power supply to meet the demands of the future,” PUCT Chairman Thomas Gleeson said in a statement. “The Texas Energy Fund is accomplishing exactly what the Governor and the Texas Legislature envisioned — securing reliable, on-demand power to fuel Texas’ rapid growth and continued success.” The commission announced the first TEF loan in June

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Multidirectional flows of power and information are the grid’s future

Multidirectional flows of power and information are the grid’s future | Utility Dive Skip to main content An article from Deep Dive In the frenzy to meet rising energy demand, utilities and others often overlook the value of power system innovations, industry participants say. Published Aug. 12, 2025 Attendees listen to lab presentations as part of a workshop on advanced distribution management systems at the National Renewable Energy Laboratory’s campus in Golden, Colorado, on Dec. 12, 2024. Retrieved from Gregory Cooper/National Renewable Energy Laboratory. The 20th century grid’s one-way electron flow is dead. On today’s multidimensional, multidirectional 21st century system, new tools can ease the burden of rising demand while limiting customer costs. But in the frenzy to meet rising energy demand, utilities and others often overlook the value of power system innovations, industry sources, regulators and technology providers say. Instead, many are calling for restarting aged power plants and touting immature energy sources, which could increase electricity prices 25% by 2030, according to Energy Innovation projections. New generation and transmission infrastructure is needed. But a sophisticated set of power system optimizations could allow operators to reduce the need for costly new infrastructure by maximizing the flexibility of loads and resources. “New large loads impart costs to the system,” said Kay Aikin, founder and CEO of technology provider Dynamic Grid. But “both data centers and generation can be flexible assets that increase system diversity, which increases reliability.” Southern California Edison, for example, is investing in artificial intelligence-enhanced system management that gives operators visibility into the “complex series of inputs and outputs that shift constantly throughout the day,” said Jeff Monford, a spokesman for the utility. It is a “forward radar,” he said, “reshaping how we plan, operate and maintain the grid.” Former Federal Energy Regulatory Commission Chair Jon Wellinghoff, now CEO of consultant

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Wildfires Briefly Shut Dardanelles

Wildfires briefly shut the Dardanelles Strait to shipping on Monday, as extreme heat and strong winds fueled blazes across the Mediterranean. The Dardanelles — a vital maritime chokepoint for oil and gas from the Black Sea and Central Asia — was reopened in the evening after being closed to allow firefighting aircraft to scoop up water from the sea to tackle nearby blazes.  Turkish firefighters contained wildfires ravaging its north Aegean coast, but towns and pine forests in Canakkale province are still threatened, and almost 2,900 residents have been evacuated, the state-run Anadolu Agency reported. Large parts of Europe are facing wildfire threats, as scorching weather bakes the region this week. Blazes have ignited across the continent, from the outskirts of Madrid and London to the Greek islands and forests across the Balkans. The fires are being fed by strong winds and extreme temperatures. Red heat warnings have been issued for Spain, France, Croatia, Serbia and Romania, as a high-pressure system is amplified by wind patterns boosted by the remnants of tropical storm Dexter.  Temperatures are forecast to exceed 44C (111F) in Portugal and Spain on Tuesday, with southwest France topping 42C, according to government forecasters. That’s pushing up power prices in both France and Germany as cooling demand surges. Climate change is increasing the frequency and intensity of heat waves in Europe, triggering more extreme weather events such as the deadly wildfires that ravaged Aude in southwest France last week. In Spain, hundreds of people were evacuated on Monday evening and one person later died as a fire started in Tres Cantos on the outskirts of Madrid. El #IFTresCantos está perimetrado y ha evolucionado favorablemente durante la noche. Han estado trabajando en la extinción:33 dotaciones de #BomberosCM.11 de @BomberosMad, 9 de la @UMEgob y #AgentesForestalesCM. No hay ninguna carretera cortada al tráfico. pic.twitter.com/OOpFkQSVHD — 112 Comunidad de

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Department of Energy Announces Initial Selections for New Reactor Pilot Program

WASHINGTON— The U.S. Department of Energy (DOE) today officially kicked off President Trump’s Nuclear Reactor Pilot Program, announcing DOE will initially work with 11 advanced reactor projects to move their technologies towards deployment. DOE will work with industry on these 11 projects, with the goal to construct, operate, and achieve criticality of at least three test reactors using the DOE authorization process by July 4, 2026. Today’s initial selections represent an important step toward streamlining nuclear reactor testing and unleashes a new pathway toward fast-tracking commercial licensing activities.    “President Trump’s Reactor Pilot Program is a call to action,” said Deputy Secretary of Energy James P. Danly. “These companies aim to all safely achieve criticality by Independence Day, and DOE will do everything we can to support their efforts.”   President Trump is committed to re-establishing the United States as a global leader in nuclear energy and securing a reliable, diversified, and affordable energy supply to drive American prosperity and technological advancement.   DOE announced the Reactor Pilot Program in June 2025, following President Trump’s Executive Order 14301, which reforms reactor testing at the Department. The goal of the Reactor Pilot Program is to expedite the testing of advanced reactor designs that will be authorized by the Department at sites that are located outside of the national laboratories. Seeking DOE authorization provided under the Atomic Energy Act will help today’s selected companies— Aalo Atomics Inc., Antares Nuclear Inc., Atomic Alchemy Inc., Deep Fission Inc., Last Energy Inc., Oklo Inc., Natura Resources LLC, Radiant Energy Inc., Terrestrial Energy Inc., and Valar Atomics Inc.— unlock private funding and provide a fast-tracked approach to future commercial licensing activities.    The diversity of applications received shows the remarkable breath of innovation and ingenuity in American reactor developers.   Each company will be responsible for all costs associated with designing, manufacturing,

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Data center sustainability efforts stall slightly in 2025

Data center operators reported limited advances—and even some declines—in energy efficiency, carbon tracking, and water usage due in part to rising power demand and easing regulatory pressure in some regions, according to the recently released results of the Uptime Institute’s 15th Annual Global Data Center Survey 2025. As artificial intelligence workloads continue to grow and legacy data centers remain operational, sustainability initiatives have stalled, according to the Uptime Institute, which attributes this in part to reporting challenges. Uptime Institute’s 2025 data center survey was conducted online from April 2025 to May 2025 and collected responses from more than 800 data center owners and operators and more than 1,000 vendors and consultants.  “What’s interesting this year is that we have seen a far from startling increase over the last few years of the data being collected, but this year it actually fell. And this obviously led to some speculation that there is a backing off of sustainability, and that it is no longer a high priority,” said Andy Lawrence, executive director of research at Uptime Institute, during a webinar sharing the survey results. “I think that the data center industry has not yet adapted to being very good at sustainability reporting.”

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Arista’s latest networking results: 4 critical takeaways

“We also think UALink is another spec that’s coming out, and that may run as an overlay on top of an Ethernet underlay. There needs to be some firm standards there because today, scale-up is frankly all proprietary NV Link. And we’re encouraged by—just like we worked hard to found the Ultra Ethernet Consortium as a member for some of the back-end Ethernet, and the migration from InfiniBand to Ethernet is literally happening in 3 to 5 years. We expect the same phenomenon on scale-up,” Ullal said. “The rise in Agentic AI ensures any-to-any conversations with bidirectional bandwidth utilization. Such AI agents are pushing the envelope of LAN and WAN traffic patterns in the enterprise,” Ullal said. Work to do on VeloCloud integration The recent acquisition of VeloCloud was also a hot topic of the second quarter results that included the introduction of former Cisco exec and industry veteran Todd Nightingale, as its newly appointed President & COO.  “It’s only been a month, but I can’t tell you how impressed I am with the passion and focus of the team, the trust that Arista customers have in the technology and the enormous opportunity we have ahead of us in data center, AI, and in the campus,” Nightingale said. “VeloCloud’s secure AI optimized WAN portfolio offers seamless application-aware solutions to connect customer branch sites, complementing Arista’s leading spines in the data center and campus,” Ullal said.  “In a classic leaf-spine atomic identifier, we are enabling multipathing, encryption, in-band network telemetry, segmentation, application identification, and traffic engineering across distributed enterprise sites. We are so excited to fill this missing void in our distributed enterprise puzzle to bring that holistic branch solution.” “We also intend to work closely with best-of-breed security partners to enable SASE overlays. Please do note that VeloCloud is not

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Enterprise tips for cloud success

The remaining tips were cited by roughly two-thirds of the enterprises. Tip number three is to look especially at applications whose users are widely dispersed. And by “widely” here, they mean on different continents, not just different neighborhoods. The reason is that quality of experience and even availability can be compromised when work has to transit a lot of networks just to get to where it’s processed. This can lead to user dissatisfaction, and dispersing resources closer to the users may be the only solution. If an enterprise doesn’t already have their own data center located close to each user concentration, chances are that putting a new hosting point in themselves couldn’t achieve reasonable economy of scale in capex, power and cooling, and operations costs. The cloud would be cheaper. A qualifying comment here is to take great care in evaluating the real impact of dispersion of application users. In some cases, there may not be enough of a difference in QoE or availability to require dispersing hosting points, and in fact it may be that where the application is hosted isn’t even the problem. “The cloud may look like the easy way out,” one enterprise said, “but it may not be the economical way.” See where your QoE issues really lie before you go to the cloud’s distributed hosting to fix them. Tip four is to examine the user-to-application interaction model carefully, to see if there’s a large non-transactional component. Mission-critical business systems, and business core databases, are almost always in the data center. The stuff that changes them are the transactions that add, update, and delete records. If an application’s user interaction is tightly coupled to the creation of transactions, then its processing is tied to those data center resources. That makes it harder to move the user-interface

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Stargate’s slow start reveals the real bottlenecks in scaling AI infrastructure

The CFO emphasized that SoftBank remains committed to its original target of $346 billion (JPY 500 billion) over 4 years for the Stargate project, noting that major sites have been selected in the US and preparations are taking place simultaneously across multiple fronts. Requests for comment to Stargate partners Nvidia, OpenAI, and Oracle remain unanswered. Infrastructure reality check for CIOs These challenges offer important lessons for enterprise IT leaders facing similar AI infrastructure decisions. Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research, said that Goto’s confirmation of delays “reflects a challenge CIOs see repeatedly” in partner onboarding delays, service activation slips, and revised delivery commitments from cloud and datacenter providers. Oishi Mazumder, senior analyst at Everest Group, noted that “SoftBank’s Stargate delays show that AI infrastructure is not constrained by compute or capital, but by land, energy, and stakeholder alignment.” The analyst emphasized that CIOs must treat AI infrastructure “as a cross-functional transformation, not an IT upgrade, demanding long-term, ecosystem-wide planning.” “Scaling AI infrastructure depends less on the technical readiness of servers or GPUs and more on the orchestration of distributed stakeholders — utilities, regulators, construction partners, hardware suppliers, and service providers — each with their own cadence and constraints,” Gogia said.

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Incentivizing the Digital Future: Inside America’s Race to Attract Data Centers

Across the United States, states are rolling out a wave of new tax incentives aimed squarely at attracting data centers, one of the country’s fastest-growing industries. Once clustered in only a handful of industry-friendly regions, today’s data-center boom is rapidly spreading, pushed along by profound shifts in federal policy, surging demand for artificial intelligence, and the drive toward digital transformation across every sector of the economy. Nowhere is this transformation more visible than in the intensifying state-by-state competition to land massive infrastructure investments, advanced technology jobs, and the alluring prospect of long-term economic growth. The past year alone has seen a record number of states introducing or expanding incentives for data centers, from tax credits to expedited permitting, reflecting a new era of proactive, tech-focused economic development policy. Behind these moves, federal initiatives and funding packages underscore the essential role of digital infrastructure as a national priority, encouraging states to lower barriers for data center construction and operation. As states watch their neighbors reap direct investment and job creation benefits, a real “domino effect” emerges: one state’s success becomes another’s blueprint, heightening the pressure and urgency to compete. Yet, this wave of incentives also exposes deeper questions about the local impact, community costs, and the evolving relationship between public policy and the tech industry. From federal levels to town halls, there are notable shifts in both opportunities and challenges shaping the landscape of digital infrastructure advancement. Industry Drivers: the Federal Push and Growth of AI The past year has witnessed a profound federal policy shift aimed squarely at accelerating U.S. digital infrastructure, especially for data centers in direct response both to the explosive growth of artificial intelligence and to intensifying international competition. In July 2025, the administration unveiled “America’s AI Action Plan,” accompanied by multiple executive orders that collectively redefined

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AI Supercharges Hyperscale: Capacity, Geography, and Design Are Being Redrawn

From Cloud to GenAI, Hyperscalers Cement Role as Backbone of Global Infrastructure Data center capacity is undergoing a major shift toward hyperscale operators, which now control 44 percent of global capacity, according to Synergy Research Group. Non-hyperscale colocations account for another 22 percent of capacity and is expected to continue, but hyperscalers projected to hold 61 percent of the capacity by 2030. That swing also reflects the dominance of hyperscalers geographically. In a separate Synergy study revealing the world’s top 20 hyperscale data center locations, just 20 U.S. state or metro markets account for 62 percent of the world’s hyperscale capacity.  Northern Virginia and the Greater Beijing areas alone make up 20 percent of the total. They’re followed by the U.S. states of Oregon and Iowa, Dublin, the U.S. state of Ohio, Dallas, and then Shanghai. Of the top 20 markets, 14 are in the U.S., five in APAC region, and only one is in Europe. This rapid shift is fueled by the explosive growth of cloud computing, artificial intelligence (AI), and especially generative AI (GenAI)—power-intensive technologies that demand the scale, efficiency, and specialized infrastructure only hyperscalers can deliver. What’s Coming for Capacity The capacity research shows on-premises data centers with 34 percent of the total capacity, a significant drop from the 56 percent capacity they accounted for just six years ago.  Synergy projects that by 2030, hyperscale operators such as Google Cloud, Amazon Web Services, and Microsoft Azure will claim 61 percent of all capacity, while on-premises share will drop to just 22 percent. So, it appears on-premises data centers are both increasing and decreasing. That’s one way to put it, but it’s about perspective. Synergy’s capacity study indicates they’re growing as the volume of enterprise GPU servers increases. The shrinkage refers to share of the market: Hyperscalers are growing

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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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