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AMD patches microcode security holes after accidental early disclosure

Matt Kimball, VP and principal analyst at Moor Insights & Strategy, also said he believed that AMD did well in how it handled this situation. “It’s good to see AMD working with its community to solve for these vulnerabilities quickly. The amount of work that goes into providing a fix — and thoroughly testing it […]

Matt Kimball, VP and principal analyst at Moor Insights & Strategy, also said he believed that AMD did well in how it handled this situation.

“It’s good to see AMD working with its community to solve for these vulnerabilities quickly. The amount of work that goes into providing a fix — and thoroughly testing it — is extensive. It’s a big resource strain,  so good coordination from AMD,” Kimball said. “It is an unfortunate reality that these vulnerabilities find their way into systems, but it’s a reality nonetheless. The real measure of a vendor is how quickly they respond to mitigating and nullifying these vulnerabilities. In the case of AMD, the response was swift and thorough.”

What is critical, Villanustre added, is that admins focus on the UEFI (Unified Extensible Firmware Interface), which is the interface between the OS and the firmware. If the UEFI, which used to be known as system BIOS, is not updated, the microcode problem will keep returning every time servers reboot, Villanustre explained. “This can be simply addressed by updating your UEFI.”

“This situation highlights how deeply firmware issues have become [embedded] in modern computing,” Price said. “It is going to make emergency patches more difficult in the future. Future microcode patches will require full system reboots.”

AMD released two patches for the problem. “AMD has made available a mitigation for this issue which requires updating microcode on all impacted platforms to help prevent an attacker from loading malicious microcode,” AMD said. “Additionally, an SEV firmware update is required for some platforms to support SEV-SNP attestation. Updating the system BIOS image and rebooting the platform will enable attestation of the mitigation. A confidential guest can verify the mitigation has been enabled on the target platform through the SEV-SNP attestation report.”

AMD said the cybersecurity risk of not deploying the patch is significant, explaining, “improper signature verification in the AMD CPU ROM microcode patch loader may allow an attacker with local administrator privilege to load malicious CPU microcode resulting in loss of confidentiality and integrity of a confidential guest running under AMD SEV-SNP.”

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Pertamina taps ABL for Cilacap refinery project

Indonesia’s state-owned PT Pertamina has let a contract to ABL Group ASA to deliver a suite of services for a project to improve asset management and maintenance as part of a broader modernization program at subsidiary PT Kilang Pertamina Internasional’s (PT KPI) 348,000-b/d Cilacap integrated refining and petrochemical complex in

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Taiwan chip tariff would cause industry harm, analysts say

“The tech industry is a global industry, and as we saw during Trump’s first term, if you place restrictions on any part of the value chain, you impact the entire value chain in one way or another. Between Trump’s threats and [Xi Jinping,  China’s president] threats [referring to the restriction

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Calumet reports delay in government loan for Montana renewable fuels plant

Update: The White House budget office on Wednesday, Jan. 29, rescinded an order freezing federal grants.  Calumet Inc. subsidiary Montana Renewables LLC (MRL) has confirmed that the first tranche of a loan previously approved by the US Department of Energy (DOE) for expansion of a renewable fuels manufacturing plant in Great Falls, Mont., will undergo a ‘tactical delay.’  Finalized as of Jan. 10, $782 million—the first of a two-tranche loan guarantee—was expected to fund eligible expenses MRL previously incurred, upon payment of which MRL was expected to simultaneously make a $150-million equity investment with funds the operator currently holds, Calumet said earlier this month (OGJ Online, Jan. 13, 2025). Calumet said Jan. 28 that it had been informed by the DOE Loan Programs Office that the initial money will undergo a delay “to confirm alignment with White House priorities.” Calumet said it was informed that the delay “should be days or weeks.”  Questions about Executive Order alignment  Included in Jan. 20 Executive Orders, President Donald Trump pushed to pause federal loans and grants while the new administration conducts reviews to assess alignment with the administration’s policies as applicable by law. A memorandum from the Office of Management and Budget said the freeze pertains to climate change and green energy provisions, but confusion remains. Late Tuesday, a federal judge temporarily blocked the move for existing programs until Monday afternoon, just minutes before the funding freeze was to go into effect, the Associated Press reported. Judge Loren AliKhan granted an administrative stay in a case, setting a hearing for additional arguments. In its update regarding the timing of the DOE loan, Todd Borgmann, Calumet’s chief executive officer, said “we are well aligned with White House priorities to support domestic agriculture, energy security, technical innovation and energy independence, all of which play a

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How to Optimize Midstream Oil & Gas Operations with Private Wireless Networks

@import url(‘/fonts/fira_sans.css’); a { color: #134e85; } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: “Fira Sans”, Arial, sans-serif; } body { letter-spacing: 0.025em; font-family: “Fira Sans”, Arial, sans-serif; } button, .ebm-button-wrapper { font-family: “Fira Sans”, Arial, sans-serif; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #212529 !important; border-color: #212529 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #212529 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #212529 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #212529 !important; border-color: #212529 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #212529 !important; border-color: #212529 !important; background-color: undefined !important; } Digital transformation has emerged as a critical tool for midstream oil and gas operations to optimize efficiency, reduce costs, improve efficiency and enhance worker safety. Yet, efforts to supply the connectivity needed to unlock all of those benefits can be expensive and inadequate. Midstream operations present challenging conditions for conventional connectivity solutions, but private 5G networks are emerging as an advanced solution to connect critical midstream infrastructure and people. This white paper, How to Optimize Midstream Oil & Gas Operations with Private Wireless Networks, guides midstream asset operators in making the connectivity decisions needed to enable an industrial Internet of Things (IoT), real-time monitoring and powerful analytics. Read it to learn: Challenges midstream oil and gas businesses encounter due to inadequate connectivity Benefits of a fully connected oil and gas infrastructure ecosystem Use cases that showcase the value of infrastructure and workers fully connected by private 5G networks  <!–> This content is sponsored by: ]–> <!–> –> <!–> ]–> <!–> ]–>

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New EPA administrator sworn in, other energy-related picks advancing through Senate

Lee Zeldin was sworn in as the 17th administrator of the US Environmental Protection Agency Jan. 29, 2025, with President Trump’s picks to lead the Interior and Energy departments advancing toward Senate confirmation. The Senate approved Zeldin, a former US representative from New York, by a vote of 56-42. In an EPA press release Jan. 30, Zeldin said he was honored to serve, and said his EPA would prioritize “economic prosperity” as it works on environmental issues.  During his confirmation hearing, Democrats questioned Zeldin on climate change, given that Trump has repeatedly dismissed climate change as a hoax and Zeldin was paid for opinion pieces that criticized a variety of climate actions. Meanwhile, Trump’s choice to helm the Interior Department Doug Burgum was posed for confirmation Jan. 30, after the Senate voted 78-20 on Jan. 29 to move the nomination to the floor. Chris Wright, the nominee for the Energy Department, could also see Senate confirmation by Jan. 31, 2025. Burgum, the former North Dakota government and Trump’s campaign energy advisor, is tasked with opening more federal lands and waters to oil and gas development. At his confirmation hearing, Burgum said he would focus on increasing fossil fuel production on federal lands over renewables. One of Trump’s first moves as president was to issue executive orders withdrawing all areas of the Outer Continental Shelf from federal wind leasing while directing Interior and other agencies to boost fossil fuel development (OGJ Online, Jan. 21, 2025). During his two terms as governor, Burgum repeatedly sued the Interior Department over the department’s energy leasing rules. North Dakota is the third-largest oil-producing state, with output of over 1 million b/d, largely from the Bakken formation.  Burgum will chair Trump’s newly created National Energy Council that Trump said will “oversee the path to US energy dominance.” 

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Murphy plans 25% capex ramp for 2025

The leaders of Murphy Oil Corp., Houston, are significantly increasing capital spending this year while they look to rectify operational issues that surfaced late last year. Murphy spent $965 million on capital projects in 2024, with $692 million of that figure allocated to projects in the United States. For 2025, president and chief executive officer Eric Hambly and his team expect total spending to be $1.135-1.285 billion, about 60% of which is allotted to the first 6 months of the year and 85% of which will go to development work. The midpoint of that spending forecast is an increase of 25% from last year but only 6% higher than 2023’s figure. In terms of geographies, Murphy will devote the most capital to its Gulf of Mexico assets, which are in line to get $410 million. Other offshore projects in Vietnam and Côte d’Ivoire will be allocated about $115 million. Onshore, executives are devoting $360 million to the Eagle Ford basin and $140 million to the Kaybob Duvernay/Tupper Montney region in Canada. Plans call for nearly 80% of those $500 million to help drill 72 wells (operated and non-operated) and bring online another 77 wells. The broad goal is to put up low-single-digit production growth from these assets. On the exploration front, the Murphy team will start a three-well program in Côte d’Ivoire late this year and are planning a two-well effort in the Gulf of Mexico, among other things. Exploration spending for 2025 is forecast to total $145 million. “We have an ambitious exploration program ahead of us over the next 18 months,” Hambly said in a statement that called attention to Murphy’s varied holdings. “This optionality across multiple play types in key basins provides significant resource upside for our offshore business […] Exploration will remain a key differentiator and

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Welsh Government invests £8m in tidal as part of plan to ‘centre for emerging tidal technologies’

The Welsh Government has taken an £8 million equity stake in what will become the largest consented tidal energy project in Europe. The Morlais tidal scheme is set to kick off operations next year and is owned and managed by Ynys Môn (Anglesey) social enterprise Menter Môn. The government has said it has made the investment to ensure progress on the tidal energy project. It said that the cash it has pledged will support the Cydnerth phase of the project, which will see the grid connection strengthened at Parc Cybi, Holyhead. This comes as part of the Welsh Government’s plans to “make Wales a world centre for emerging tidal technologies,” said cabinet secretary for economy, energy and planning, Rebecca Evans. The project manages an area of over 21 miles² of the seabed near Holy Island, Anglesey Dafydd Gruffydd, managing director of Menter Môn, added: “This funding supports our vision to position North Wales as a leader in tidal energy innovation, creating opportunities for growth and collaboration across the region.” The Morlais project has the potential to produce 240MW of electricity, enough to power up to 180,000 typical Welsh homes. The scheme aims to connect to a nearby substation and the national grid. Evans added: “Our investment will support Menter Môn Morlais to scale up capacity, and develop an industrial cluster for tidal energy and innovation in North Wales, whilst delivering jobs and growth through its pioneering technology, keeping the value local. “This will further benefit clean energy suppliers of all sizes and position Wales at the forefront of the energy transition.” The government said that the unique ‘plug and play’ model of the Anglesey site will reduce costs as developers scale up tidal energy roll-out in the region. “By supporting projects like Morlais, we are not only unlocking the potential

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Aberdeen’s Three60 Energy expands to Teesside

Aberdeen-headquartered energy services firm Three60 Energy is expanding its UK presence with an office in Teesside. Three60 said the “strategic expansion” is part of the company’s efforts to grow its presence in “regions with rich industrial heritage and significant growth potential”. Teesside is home to Teesworks, the UK’s largest freeport as well as the largest brownfield industrial site in Europe. The 4,500 acre Teesworks site sits on the banks of the River Tees, which was previously the location of the historic Redcar steelworks before it was demolished in 2023. Now, the largely private owners of the Teesworks site are redeveloping it to host multiple significant energy transition projects. © Supplied by ASCOTeesworks heavy lift quay. North Sea operators BP and Equinor are among the firms investing in projects ranging from green hydrogen production to carbon capture and storage (CCS). South Korean-owned SeAH Wind is also developing a £900m factory at Teesworks to produce monopiles for the offshore wind sector,. Three60 Energy Teesside By expanding into Teesside, Three60 said it is aiming to “support the region’s ongoing industrial and economic development”. Three60 said the Billingham office will focus on providing engineering, procurement, construction and commissioning (EPCC) solutions for the local market. Three60 managing director of EPCC Alasdair Smith said will look to recruit locally as it expands it capabilities in the area. “We are thrilled to establish our presence in Teesside and will harness the trusted local knowledge and expertise of a highly regarded industry veteran to further engage, develop, and expand our office, customer base and local talent pool,” Smith said. © Supplied by Three60 EnergyThree60 Energy staff at the company’s new office in Billingham, Teesside. “The investment in Teesside is a testament to our commitment to providing innovative and flexible solutions to meet the evolving needs of our customers.

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Timeline of HPE’s $14 billion bid for Juniper

June 20, 2024: HPE-Juniper merger faces antitrust inquiry in UK An inquiry into HPE’s $14 billion takeover of Juniper Networks by the UK’s Competition and Markets Authority (CMA), a move that potentially could delay approval of the deal, will have little impact on data center managers, said one analyst with Info-Tech Research Group. Both companies were informed of the inquiry by the CMA, the UK’s principal antitrust regulator, on Wednesday. July 17, 2024: Juniper advances AI networking software Juniper continues to improve its AI-native networking platform while HPE’s $14 billion deal to acquire Juniper continues to advance through the requisite regulatory hurdles. The latest platform upgrades are designed to help enterprise customers better manage and support AI in their data centers. Juniper is also offering a new validated design for enterprise AI clusters and has opened a lab to certify enterprise AI data center projects. Aug. 01, 2024: EU clears HPE’s $14 billion Juniper acquisition Hewlett Packard Enterprise’s proposed acquisition of Juniper Networks took a big step forward this week as the European Commission unconditionally approved the buy. Next up: US and UK regulatory approval? Nov. 21, 2024: AI networking a focus of HPE’s Juniper deal as Justice Department concerns swirl HPE’s acquisition of Juniper has been under regulatory scrutiny ever since HPE announced the $14 billion deal in January. The proposed deal has passed muster with a number of world agencies so far, but there is reportedly some concern about it from the US Department of Justice.  Jan. 30, 2025: U.S. Justice Department sues to block HPE’s $14 billion Juniper buy After months of speculation, the U.S. Justice Department sued to block the $14 billion sale of Juniper Networks to HPE. The DOJ said reduced competition in the wireless market is the biggest problem with the proposed buy. “This proposed acquisition risks substantially lessening competition in

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Verizon brings AI suite to enterprise infrastructure customers

Verizon Business has launched AI Connect, an integrated suite of products designed to let businesses deploy generative artificial intelligence (AI) workloads at scale. Verizon is building its AI ecosystem by repurposing its existing infrastructure assets in its intelligent and programmable network, which consists of fiber, edge networking, and data center assets, along with its metro and long-haul fiber, ILEC and Fios footprint, its metro network build-out, lit and dark fiber services, and 5G network. Verizon believes that the drive toward real-time decision-making using inferencing will be what drives demand for additional computing power.  The company cites a McKinsey report, which states that 60% to 70% of AI workloads are expected to shift to real-time inference by 2030. That will create an urgent need for low-latency connectivity, compute and security at the edge beyond current demand.

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Trump’s 100% tariff threat on Taiwan chips raises cost, supply chain fears

“I don’t think we will see a near-term impact, as it takes years to build fabs, but by the end of the decade, the US share could rise by a few percentage points,” Gupta said. “It’s hard to give an exact number, but if I were to estimate, I’d say 14-15%. That isn’t a lot, but for the US to gain share, someone else must lose it, and while the US is making efforts, we see similar developments across Asia.” Yet, if Washington imposes smaller tariffs on imports from countries such as India, Japan, or Malaysia, Taiwanese chipmakers may shift production there rather than to the US, according to Stephen Ezell, vice president at the Information Technology and Innovation Foundation (ITIF). “Additionally, if the tariffs applied to Chinese chip exports were lower than for Taiwanese exports, Trump would be helping Chinese semiconductor manufacturers, whose exports to the US market would then be less expensive,” Ezell said in a recent note. “So, for this policy to have any real effect, Trump effectively must raise tariffs on all semiconductors, and that would likely lead to global tit-for-tat.” Enterprise IT faces tough choices If semiconductor tariffs drive up costs, enterprises will be forced to reassess spending priorities, potentially delaying or cutting investments in critical IT infrastructure. Rising chip prices could squeeze budgets for AI, cloud computing, and data center expansions, forcing businesses to make difficult trade-offs. “On the corporate side, hyperscalers and enterprise players need to brace for impact over the next 2-3 years if high tariffs continue along with the erosion of operating margin,” Faruqui said. “In addition, the boards and CEOs have to boldly make heavy CAPEX investment on US Soil via US and Asian partners as soon as possible to realize HVM on US soil and alleviate operating margin erosion due to

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New tweak to Linux kernel could cut data center power usage by up to 30%

When network traffic is heavy, it is most efficient, and delivers the best performance, to disable interrupts and run in polling mode. But when network traffic is light, interrupt-driven processing works best, he noted. “An implementation using only polling would waste a lot of resources/energy during times of light traffic. An implementation using only interrupts becomes inefficient during times of heavy traffic. … So the biggest energy savings arise when comparing to a high-performance always-polling implementation during times of light traffic,” Karsten said. “Our mechanism automatically detects [the amount of network traffic] and switches between polling and interrupt-driven to get the best of both worlds.” In the patch cover letter, Damato described the implementation of the new parameter in more detail, noting: “this delivery mode is efficient, because it avoids softIRQ execution interfering with application processing during busy periods. It can be used with blocking epoll_wait to conserve CPU cycles during idle periods. The effect of alternating between busy and idle periods is that performance (throughput and latency) is very close to full busy polling, while CPU utilization is lower and very close to interrupt mitigation.” Added Karsten: “At the nuts and bolts level, enabling the feature requires a small tweak to applications and the setting of a system configuration variable.” And although he can’t yet quantify the energy benefits of the technique (the 30% saving cited is best case), he said, “the biggest energy savings arise when comparing to a high-performance always-polling implementation during times of light traffic.”

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Macquarie’s Big Play in AI and HPC: $17+ Billion Invested Across Two Data Center Titans

Macquarie Asset Management (MAM) is making bold moves to position itself as a dominant force in the rapidly growing sectors of AI and high-performance computing (HPC). In a single week, MAM has made two pivotal investments in Applied Digital and Aligned Data Centers, committing over $17 billion to fuel innovation, growth, and capacity expansion in critical infrastructure markets across the Americas. Both deals highlight the immense demand for AI-ready and HPC-optimized data centers, underscoring the ongoing digitization of the global economy and the insatiable need for computing power to drive artificial intelligence (AI), machine learning (ML), and other resource-intensive workloads. Applied Digital Partners with Macquarie Asset Management for $5 Billion HPC Investment On January 14, Applied Digital Corporation announced what it billed as a transformative partnership with Macquarie to drive growth in HPC infrastructure. This agreement positions Applied Digital as a leading designer, builder, and operator of advanced data centers in the United States, catering to the growing demands of AI and HPC workloads. To account for the $5 billion commitment, funds managed by MAM will invest up to $900 million in Applied Digital’s Ellendale HPC Campus in North Dakota, with an additional $4.1 billion available for future HPC projects. This could support over 2 gigawatts (GW) of HPC data center development. MAM is a global asset manager overseeing approximately $633.7 billion in assets. Part of Australia-based Macquarie Group, it specializes in diverse investment solutions across real assets, real estate, credit, and equities. With its new landmark agreement with Macquarie, Applied Digital feels it is poised to redefine the HPC data center landscape, ensuring its place as a leader in the AI and HPC revolution. In terms of ownership structure, MAM’s investment here includes perpetual preferred equity and a 15% common equity interest in Applied Digital’s HPC business segment, allowing

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Data Center Frontier Announces Editorial Advisory Board for 2025 DCF Trends Summit

Nashua, NH – Data Center Frontier is excited to announce its Editorial Advisory Board for the second annual Data Center Frontier Trends Summit (DCF Trends Summit), taking place August 26-28, 2025, at the Hyatt Regency Reston in Reston, Virginia.  The 2025 DCF Trends Summit Editorial Advisory Board includes distinguished leaders from hyperscale and colocation operators, power and cooling solutions companies, IT and interconnection providers, and design/build/construction specialists. This year’s board has grown to include 15 esteemed executives, reflecting DCF’s commitment to providing comprehensive and diverse insights for the data center sector.  This visionary group of leaders, representing the critical facets of the data center ecosystem, will guide the event’s content and programming to address the most pressing trends impacting the industry. The group’s unparalleled expertise ensures the Summit will deliver essential insights to help data center stakeholders make informed decisions in the industry’s rapidly evolving landscape.  The Editorial Advisory Board for the 2025 DCF Trends Summit includes:  Scott Bergs, CEO, Dark Fiber & Infrastructure (DF&I) Steven Carlini, VP, Innovation and Data Center Energy Management Business, Schneider Electric Dan Crosby, CEO, Legend Energy Advisors Rob Coyle, Director of Technical Programs, Open Compute Project (OCP) Foundation Chris Downie, CEO, Flexential Sean Farney, VP of Data Centers, Jones Lang LaSalle (JLL) Mark Freeman, VP of Marketing, Vantage Data Centers Steven Lim, SVP of Marketing & GTM Strategy, NTT Global Data Centers David McCall, VP of Innovation, QTS Data Centers Nancy Novak, Chief Innovation Officer, Compass Datacenters Karen Petersburg, VP of Construction & Development, PowerHouse Data Centers Tara Risser, Chief Business Officer, Cologix Stefan Raab, Sr. Director, Business Development – AMER, Equinix Phill Lawson-Shanks, Chief Innovation Officer, Aligned Data Centers Brenda Van der Steen, VP of Global Growth Marketing, Digital Realty “The Editorial Advisory Board for the second annual Data Center Frontier Trends Summit is

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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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