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Utility energy efficiency investment hit record $8.8B in 2023: ACEEE

In a rebound from early COVID-era declines, utilities invested a record $8.8 billion in energy efficiency in 2023, the American Council for an Energy-Efficient Economy said Tuesday in its assessment of state policies. “Energy efficiency remains our nation’s least-cost energy resource while also delivering additional benefits such as grid reliability and resilience,” ACEEE said. “Utility […]

In a rebound from early COVID-era declines, utilities invested a record $8.8 billion in energy efficiency in 2023, the American Council for an Energy-Efficient Economy said Tuesday in its assessment of state policies.

“Energy efficiency remains our nation’s least-cost energy resource while also delivering additional benefits such as grid reliability and resilience,” ACEEE said. “Utility electricity efficiency investments slowed from 2020 through 2022, but in 2023 reached a new high.”

The total includes $6.9 billion for electric efficiency and $1.9 billion in gas efficiency investments. The total is an increase of approximately 16% compared with the recent low of 2020, ACEEE said, and 6% more than the previous high in 2019. 

Many states and utilities are now looking beyond more traditional efficiency efforts, like lighting retrofits, to focus on deep energy home upgrades, smart buildings, expansion of electric vehicle infrastructure, zero-energy buildings, and electrification of space and water heating, according to the report.

But the investment is uneven. ACEEE’s “2025 State Energy Efficiency Scorecard” found that just five states accounted for 90% of the increase in 2023 efficiency spending: Massachusetts, Missouri, New Jersey, New York and Pennsylvania.

“In the wake of rapidly rising energy prices and electricity bills, several states are recognizing energy efficiency’s important role in keeping energy affordable by helping homeowners and businesses reduce costs, by improving living conditions, and by creating jobs, all while supporting increasingly ambitious state and local goals to reduce carbon emissions,” ACEEE said.

The scorecard ranks states on their policy and program efforts to advance energy efficiency. California ranked No. 1 for the seventh time. Massachusetts was second, followed by New York, with Maryland and Vermont tied for fourth.

“Leading states are reducing costs and cutting pollution through energy savings measures, but many other states are stagnating,” Mark Kresowik, senior policy director at ACEEE and lead author of the scorecard, said in a statement. “American families have endured years of rising costs and need relief.”

Louisiana, which ranked 37th, was most improved, jumping nine places from the previous scorecard on the strength of a new building energy code it adopted, “primarily motivated by skyrocketing insurance costs due to extreme weather exacerbated by climate change,” ACEEE said.

Colorado advanced six spots in the rankings, to No. 7, buoyed by policies for clean vehicles, building performance standards to reduce energy consumption in large buildings, and enacting appliance efficiency standards, the report said.

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What is Nvidia Dynamo and why it matters to enterprises?

It uses disaggregated serving to separate the processing and generation phases of large language models (LLMs) on different GPUs, which allows each phase to be optimized independently for its specific needs and ensures maximum GPU resource utilization, the chipmaker explained.   The efficiency gain is made possible as Dynamo has

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Oil Rises Amid Demand Optimism Despite Fed Outlook

Oil edged up after a US government report allayed concerns about near-term demand destruction, even as the Federal Reserve forecast slowing economic growth. West Texas Intermediate rose 0.4% to top $67 a barrel, while Brent settled near $71. US distillate inventories dropped to the lowest in more than three months, while gasoline stockpiles hit January lows, reining in concerns about declining fuel consumption. The official data also showed a smaller gain for crude stockpiles than estimated by the American Petroleum Institute, while reserves fell at the Cushing hub. “There’s a lot of concern about the US economy right now, and this belies it to a degree,” said John Kilduff, a partner at Again Capital. “It’s is a very hopeful sign for demand.” The dollar pared gains after Fed officials held their benchmark rate steady while telegraphing expectations for higher inflation. A softer greenback boosts the appeal of commodities priced in the currency.   Crude remains markedly lower from a peak in January as several bearish drivers combine to pressure prices. On the supply side, OPEC and its allies are preparing to increase production, while the escalating trade frictions are threatening a hit to demand just as consumption in China remains weak. Economic data “will remain the salient driving force of sentiment and consequently prices,” said Tamas Varga, an analyst at brokerage PVM Oil Associates Ltd. Market participants also parsed mixed geopolitical signals. US President Donald Trump pressed Iran to rein in the Houthis, treating attacks from the Yemeni militant group as Tehran’s direct responsibility. Ukrainian President Volodymyr Zelenskiy, meanwhile, agreed to a proposal to halt strikes on Russian energy assets as talks for a ceasefire in the Russia-Ukraine war trudge on. The US benchmark’s April expiry on Thursday also contributed to choppy trading. Oil Prices: WTI for April delivery advanced

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Aberdeen’s OEG snapped up by Apollo in $1bn deal

Aberdeen’s OEG Group has been acquired by Apollo in a deal that values the group for more than $1 billion (£770m). The US-based fund manager acquired a majority stake in the offshore energy services group from private-equity backer, Oaktree Capital Management, and other investors. Although the size of the stake acquired was not revealed, Apollo said the transaction meant the group achieved a “headline valuation” of over $1bn, with Los Angeles-based Oaktree retaining a small stake. Apollo, which manages funds worth over $750bn, gave up after making a number of attempts buy Aberdeen’s energy services firm Wood Group in 2023. The firm, which has acquired OEG on behalf of fund investors, highlighted that OEG operates one of the world’s largest fleets of cargo carrying units (CCUs), with over 75,000 units handling cargo to and from offshore energy installations. OEG launched its renewables division, largely targeting offshore wind, in 2021. At the end of 2024, OEG told Energy Voice it employs 1,300 people across 65 locations worldwide and was on track to deliver revenue in excess of £400 million this year for 2024, with the aim to achieve £800m turnover within the next five years. Its heritage dates back to 1973, when it bought Ferguson Seacabs, which launched on the back of the first North Sea oil field, Argyll. OEG chief executive John Heiton, CEO of OEG, said: “Since our company’s founding, we have worked hard to establish OEG as a global leader in delivering core services throughout the offshore energy value chain. “As energy producers across Europe and around the globe continue to invest in the energy transition, we are committed to expanding and enhancing our capabilities as a key partner. “We look forward to working with Apollo as we enter this new and exciting chapter for our business and remain

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Secretary Wright Signs Export Authorization for Venture Global CP2 LNG

WASHINGTON, D.C. – U.S. Secretary of Energy Chris Wright today approved a liquefied natural gas (LNG) export authorization to the Venture Global CP2 LNG export project proposed for Cameron Parish, Louisiana. This action reflects another step in the Trump administration’s commitment to restoring American energy dominance. “The benefits of expanding U.S. LNG exports have never been more clear, and I am proud to be taking action to support the American people and our allies abroad with more affordable, reliable, secure American energy,” said Secretary Wright. “Thanks to President Trump’s leadership, we are cutting the red tape around projects like CP2, unleashing our energy potential and ensuring U.S. can continue to meet growing energy demand for decades to come.” The issuance to CP2 marks the fifth LNG-related approval from DOE since President Trump took office, following an export approval to Commonwealth LNG on February 14, an order on rehearing removing barriers for the use of LNG as bunkering fuel announced on February 28, an approval providing the Golden Pass LNG terminal more time to commence exports issued March 5, and approval granting the Delfin LNG project additional time to commence exports issued on March 10. Once constructed, CP2, owned by Venture Global, will be able to export up to 3.96 billion cubic feet per day (Bcf/d) of LNG. “The CP2 project is another project that has been waiting too long for regulatory action at DOE, and I am glad to see that being corrected today” said Tala Goudarzi, Principal Deputy Assistant Secretary of the Office of Fossil Energy and Carbon Management. “With Venture Global’s track record of getting projects constructed quickly, I look forward to seeing this project come to fruition before long.” Today’s authorization conditionally grants CP2 authorization to export LNG to non-free trade agreement countries from the proposed CP2

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EPA yanks air quality permit for 1.5-GW Atlantic Shores offshore wind project

The 1.5-GW Atlantic Shores 1 wind energy project in progress offshore New Jersey had its Clean Air Act permit from the Environmental Protection Agency remanded by the agency’s Environmental Appeals Board in a Friday filing. The board said EPA’s Region 2 office, which covers New Jersey, requested the voluntary remand “so that the Region has the opportunity to reevaluate the Project and its environmental impacts” in light of President Trump’s Jan. 20 executive order, which mandated a pause on offshore wind leasing and a review of existing leases. The group Save Long Beach Island originally requested an appeal and review of the project’s Clean Air Act permit last October. The group’s website states its goal is to ensure that Atlantic Shores’ proposed wind turbines “are moved further offshore and out of sight to the Hudson South Call Area which is approximately 30 to 57 miles from our coastline.” The Friday filing said that Atlantic Shores Offshore Wind filed a March 7 response objecting to the remand and arguing that Region 2 didn’t provide “good cause” for it, but the board said it “has broad discretion to grant a voluntary remand.” “The circumstances here support a voluntary remand. In this case, the Region has clearly stated its intent to reconsider the Project and permit decision in light of the Presidential Memorandum,” the board said. Region 2’s review of the permit will involve “[conferring] with other executive branch agencies regarding further evaluation of various impacts that may result from the Project, including impacts on birds, wildlife, fishing, and other relevant environmental concerns described in the Presidential Memorandum,” along with other steps left unspecified, according to the board. In a Monday statement, Atlantic Shores said it is “disappointed by the EPA’s decision to pull back its fully executed permit as regulatory certainty is critical to

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Schneider Electric, NVIDIA, ETAP collaboration set to advance data center efficiency, operations

Dive Brief: Schneider Electric and power system design and operations firm ETAP on Tuesday released digital twins that can design and simulate the power needs of AI factories, the companies said in a release shared with Facilities Dive. A digital twin is a system replica that enables users to simulate operations to improve performance in real time.  By leveraging ETAP’s integration of NVIDIA Omniverse technologies, the companies said, they were able to develop digital twins that bring together multiple inputs for mechanical, thermal, networking and electrical systems to mirror how an AI factory operates.  NVIDIA introduced its Omniverse Blueprint for AI factory design and operations Tuesday at its annual conference, GTC. The companies say the collaboration will provide enhanced insight and control over the electrical systems and power requirements at AI factories. That presents “an opportunity for significant efficiency, reliability and sustainability gains,” Schneider Electric said.  Dive Insight: AI workloads such as large-scale training clusters and edge inference servers are driving a significant increase in data center power consumption, requiring substantial computational power that has led to higher rack power densities, the companies say. This has led data center capacity proposals to balloon, with the average proposed center doubling in size from about 150 MW in early 2023 to 300 MW in mid-2024, according to an Oct. 24 report from Wood Mackenzie.  The demand is giving AI-related occupiers increasing influence over data center development decisions like site selection, design and operational requirements, CBRE said in its North America Data Center Trends H2 2024 report, released Feb. 26. These occupiers are “prioritizing markets with scalable power capacity and advanced connectivity solutions,” the commercial real estate services firm said.  Power availability remains the top priority for data center developers looking at greenfield sites, according to CBRE’s report. “Startups, enterprises, colocation providers, and

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Utility energy efficiency investment hit record $8.8B in 2023: ACEEE

In a rebound from early COVID-era declines, utilities invested a record $8.8 billion in energy efficiency in 2023, the American Council for an Energy-Efficient Economy said Tuesday in its assessment of state policies. “Energy efficiency remains our nation’s least-cost energy resource while also delivering additional benefits such as grid reliability and resilience,” ACEEE said. “Utility electricity efficiency investments slowed from 2020 through 2022, but in 2023 reached a new high.” The total includes $6.9 billion for electric efficiency and $1.9 billion in gas efficiency investments. The total is an increase of approximately 16% compared with the recent low of 2020, ACEEE said, and 6% more than the previous high in 2019.  Many states and utilities are now looking beyond more traditional efficiency efforts, like lighting retrofits, to focus on deep energy home upgrades, smart buildings, expansion of electric vehicle infrastructure, zero-energy buildings, and electrification of space and water heating, according to the report. But the investment is uneven. ACEEE’s “2025 State Energy Efficiency Scorecard” found that just five states accounted for 90% of the increase in 2023 efficiency spending: Massachusetts, Missouri, New Jersey, New York and Pennsylvania. “In the wake of rapidly rising energy prices and electricity bills, several states are recognizing energy efficiency’s important role in keeping energy affordable by helping homeowners and businesses reduce costs, by improving living conditions, and by creating jobs, all while supporting increasingly ambitious state and local goals to reduce carbon emissions,” ACEEE said. The scorecard ranks states on their policy and program efforts to advance energy efficiency. California ranked No. 1 for the seventh time. Massachusetts was second, followed by New York, with Maryland and Vermont tied for fourth. “Leading states are reducing costs and cutting pollution through energy savings measures, but many other states are stagnating,” Mark Kresowik, senior policy director at ACEEE and lead author of

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Nvidia, xAI and two energy giants join genAI infrastructure initiative

The new AIP members will “further strengthen the partnership’s technology leadership as the platform seeks to invest in new and expanded AI infrastructure. Nvidia will also continue in its role as a technical advisor to AIP, leveraging its expertise in accelerated computing and AI factories to inform the deployment of next-generation AI data center infrastructure,” the group’s statement said. “Additionally, GE Vernova and NextEra Energy have agreed to collaborate with AIP to accelerate the scaling of critical and diverse energy solutions for AI data centers. GE Vernova will also work with AIP and its partners on supply chain planning and in delivering innovative and high efficiency energy solutions.” The group claimed, without offering any specifics, that it “has attracted significant capital and partner interest since its inception in September 2024, highlighting the growing demand for AI-ready data centers and power solutions.” The statement said the group will try to raise “$30 billion in capital from investors, asset owners, and corporations, which in turn will mobilize up to $100 billion in total investment potential when including debt financing.” Forrester’s Nguyen also noted that the influence of two of the new members — xAI, owned by Elon Musk, along with Nvidia — could easily help with fundraising. Musk “with his connections, he does not make small quiet moves,” Nguyen said. “As for Nvidia, they are the face of AI. Everything they do attracts attention.” Info-Tech’s Bickley said that the astronomical dollars involved in genAI investments is mind-boggling. And yet even more investment is needed — a lot more.

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IBM broadens access to Nvidia technology for enterprise AI

The IBM Storage Scale platform will support CAS and now will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using Nvidia BlueField-3 DPUs and Spectrum-X networking, IBM stated. The multimodal document data extraction workflow will also support Nvidia NeMo Retriever microservices. CAS will be embedded in the next update of IBM Fusion, which is planned for the second quarter of this year. Fusion simplifies the deployment and management of AI applications and works with Storage Scale, which will handle high-performance storage support for AI workloads, according to IBM. IBM Cloud instances with Nvidia GPUs In addition to the software news, IBM said its cloud customers can now use Nvidia H200 instances in the IBM Cloud environment. With increased memory bandwidth (1.4x higher than its predecessor) and capacity, the H200 Tensor Core can handle larger datasets, accelerating the training of large AI models and executing complex simulations, with high energy efficiency and low total cost of ownership, according to IBM. In addition, customers can use the power of the H200 to process large volumes of data in real time, enabling more accurate predictive analytics and data-driven decision-making, IBM stated. IBM Consulting capabilities with Nvidia Lastly, IBM Consulting is adding Nvidia Blueprint to its recently introduced AI Integration Service, which offers customers support for developing, building and running AI environments. Nvidia Blueprints offer a suite pre-validated, optimized, and documented reference architectures designed to simplify and accelerate the deployment of complex AI and data center infrastructure, according to Nvidia.  The IBM AI Integration service already supports a number of third-party systems, including Oracle, Salesforce, SAP and ServiceNow environments.

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Nvidia’s silicon photonics switches bring better power efficiency to AI data centers

Nvidia typically uses partnerships where appropriate, and the new switch design was done in collaboration with multiple vendors across different aspects, including creating the lasers, packaging, and other elements as part of the silicon photonics. Hundreds of patents were also included. Nvidia will licensing the innovations created to its partners and customers with the goal of scaling this model. Nvidia’s partner ecosystem includes TSMC, which provides advanced chip fabrication and 3D chip stacking to integrate silicon photonics into Nvidia’s hardware. Coherent, Eoptolink, Fabrinet, and Innolight are involved in the development, manufacturing, and supply of the transceivers. Additional partners include Browave, Coherent, Corning Incorporated, Fabrinet, Foxconn, Lumentum, SENKO, SPIL, Sumitomo Electric Industries, and TFC Communication. AI has transformed the way data centers are being designed. During his keynote at GTC, CEO Jensen Huang talked about the data center being the “new unit of compute,” which refers to the entire data center having to act like one massive server. That has driven compute to be primarily CPU based to being GPU centric. Now the network needs to evolve to ensure data is being fed to the GPUs at a speed they can process the data. The new co-packaged switches remove external parts, which have historically added a small amount of overhead to networking. Pre-AI this was negligible, but with AI, any slowness in the network leads to dollars being wasted.

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Critical vulnerability in AMI MegaRAC BMC allows server takeover

“In disruptive or destructive attacks, attackers can leverage the often heterogeneous environments in data centers to potentially send malicious commands to every other BMC on the same management segment, forcing all devices to continually reboot in a way that victim operators cannot stop,” the Eclypsium researchers said. “In extreme scenarios, the net impact could be indefinite, unrecoverable downtime until and unless devices are re-provisioned.” BMC vulnerabilities and misconfigurations, including hardcoded credentials, have been of interest for attackers for over a decade. In 2022, security researchers found a malicious implant dubbed iLOBleed that was likely developed by an APT group and was being deployed through vulnerabilities in HPE iLO (HPE’s Integrated Lights-Out) BMC. In 2018, a ransomware group called JungleSec used default credentials for IPMI interfaces to compromise Linux servers. And back in 2016, Intel’s Active Management Technology (AMT) Serial-over-LAN (SOL) feature which is part of Intel’s Management Engine (Intel ME), was exploited by an APT group as a covert communication channel to transfer files. OEM, server manufacturers in control of patching AMI released an advisory and patches to its OEM partners, but affected users must wait for their server manufacturers to integrate them and release firmware updates. In addition to this vulnerability, AMI also patched a flaw tracked as CVE-2024-54084 that may lead to arbitrary code execution in its AptioV UEFI implementation. HPE and Lenovo have already released updates for their products that integrate AMI’s patch for CVE-2024-54085.

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HPE, Nvidia broaden AI infrastructure lineup

“Accelerated by 2 NVIDIA H100 NVL, [HPE Private Cloud AI Developer System] includes an integrated control node, end-to-end AI software that includes NVIDIA AI Enterprise and HPE AI Essentials, and 32TB of integrated storage providing everything a developer needs to prove and scale AI workloads,” Corrado wrote. In addition, HPE Private Cloud AI includes support for new Nvidia GPUs and blueprints that deliver proven and functioning AI workloads like data extraction with a single click, Corrado wrote. HPE data fabric software HPE has also extended support for its Data Fabric technology across the Private Cloud offering. The Data Fabric aims to create a unified and consistent data layer that spans across diverse locations, including on-premises data centers, public clouds, and edge environments to provide a single, logical view of data, regardless of where it resides, HPE said. “The new release of Data Fabric Software Fabric is the data backbone of the HPE Private Cloud AI data Lakehouse and provides an iceberg interface for PC-AI users to data hosed throughout their enterprise. This unified data layer allows data scientists to connect to external stores and query that data as iceberg compliant data without moving the data,” wrote HPE’s Ashwin Shetty in a blog post. “Apache Iceberg is the emerging format for AI and analytical workloads. With this new release Data Fabric becomes an Iceberg end point for AI engineering. This makes it simple for AI engineering data scientists to easily point to the data lakehouse data source and run a query directly against it. Data Fabric takes care of metadata management, secure access, joining files or objects across any source on-premises or in the cloud in the global namespace.” In addition, HPE Private Cloud AI now supports pre-validated Nvidia blueprints to help customers implement support for AI workloads.  AI infrastructure optimization  Aiming to help customers

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Schneider Electric Adds Data Center and Microgrid Testing Labs to Andover, MA Global R&D Center

Schneider Electric, a global leader in energy management and automation, has established its Global Innovation Hubs as key centers for technological advancement, collaboration, and sustainable development. These hub facilities serve as ecosystems where cutting-edge solutions in energy efficiency, industrial automation, and digital transformation are designed, tested, and deployed to address the world’s most pressing energy and sustainability challenges. Energy Management and Industrial Automation Focus Strategically located around the world, Schneider Electric’s Global Innovation Hubs are positioned to drive regional and global innovation in energy management and industrial automation. The hubs focus on developing smart, connected, and sustainable solutions across various sectors, including data centers, smart buildings, industrial automation, and renewable energy. Key aspects of the Schneider Global Innovation Hubs include: Collaboration and Co-Innovation: Partnering with startups, industry leaders, and research institutions to accelerate innovation. Fostering an open ecosystem where ideas can be rapidly developed and tested. Digital Transformation and Automation: Leveraging IoT, AI, and cloud technologies to enhance energy efficiency. Implementing digital twin technology for real-time monitoring and predictive maintenance. Sustainability and Energy Efficiency: Developing solutions that contribute to decarbonization and net-zero emissions. Creating energy-efficient systems for buildings, industries, and critical infrastructure. Customer-focused Innovation: Offering live demonstrations, simulation environments, and test labs for customers. Customizing solutions to meet specific industry challenges and regulatory requirements. Schneider’s Andover R&D Lab Highlights While there are 11 hubs worldwide to give the global customer base more convenient locations where they can evaluate Schneider product, the new lab facilities have also been added to one of the company’s five global R&D locations. The selected location is co-located with Schneider’s US research labs in Andover, Massachusetts. With the addition of these two new labs there are now 41 labs located in Andover. Over the last year, Schneider Electric has invested approximately $2.4 billion in R&D. The

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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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