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MODEC, TOYO Get Approval in Principle from ABS for Blue Ammonia FPSO

Ship classification organization American Bureau of Shipping (ABS) has granted approval in principle for a floating production, storage and offloading (FPSO) vessel for blue ammonia designed by MODEC Inc. and TOYO Engineering Corp. Blue ammonia is ammonia produced using natural gas with emission mitigation technology such as carbon capture. The MODEC-TOYO FPSO is intended to […]

Ship classification organization American Bureau of Shipping (ABS) has granted approval in principle for a floating production, storage and offloading (FPSO) vessel for blue ammonia designed by MODEC Inc. and TOYO Engineering Corp.

Blue ammonia is ammonia produced using natural gas with emission mitigation technology such as carbon capture. The MODEC-TOYO FPSO is intended to use associated gas conventionally reinjected into the reservoir. For carbon dioxide (CO2) mitigation, the vessel would include a facility to capture and store emissions from the process of converting gas to ammonia, as well as CO2 from gas turbine generators, according to MODEC.

“The concept of producing blue ammonia offshore is achieved by combining MODEC’s expertise in overall layout, hull design and mooring technology, cultivated in Oil & Gas FPSO projects, with TOYO’s expertise in ammonia production process design and FPSO equipment design”, MODEC said in a press release Thursday.

The FPSO’s hull, which stores and offtakes the produced ammonia, was developed with help from Mitsubishi Shipbuilding Co. Ltd. TOYO meanwhile has partnered with Houston, Texas-based engineering firm KBR Inc. for its ammonia production technique.

“This blue ammonia is expected to serve as an alternative fuel and hydrogen carrier in the energy transition”, MODEC said.

“MODEC considers this AiP [approval in principle] as an initial step in the development of a floating solution for alternative energy production and will continue to strive to refine and mature this concept to address the key challenges for commercialization identified through this development, aiming to provide a safe and affordable alternative energy supply solution”.

The blue ammonia FPSO is positioned as the first concept design among floating alternative energy production systems envisioned in MODEC’s business plan for 2024-26. MODEC also aims to develop floating facilities for hydrogen and methanol, according to the plan published February 14, 2024.

Under the plan, MODEC envisions having the smallest carbon footprint among the world’s FPSO fleet operators by 2034.

“We will contribute to the minimization of CO2 emissions from FPSOs and the decarbonization of the global energy supply chain through developing new technologies for a sustainable future”, MODEC said Thursday.

Tokyo-based MODEC owns and operates floating production systems, as well as provides solutions for such facilities.

TOYO, based in Chiba, is an industrial engineering and construction company. 

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A timeline of Broadcom/VMware and Siemens licensing dispute

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JPMorgan launches carbon market blockchain app

Dive Brief: JPMorgan Chase is working to allow voluntary carbon markets to issue blockchain tokens at the registry level that represent ownership of carbon credits, permitting market participants to issue, transfer and retire credits, the bank announced Wednesday. JPMorgan is currently exploring testing processes with carbon registries from S&P Global

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IBM Power11 challenges x86 and GPU giants with security-first server strategy

The IBM Power Cyber Vault solution is designed to provide protection against cyberattacks such as data corruption and encryption with proactive immutable snapshots that are automatically captured, stored, and tested on a custom-defined schedule, IBM said. Power11 also uses NIST-approved built-in quantum-safe cryptography designed to help protect systems from harvest-now, decrypt-later attacks

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Misaligned interconnection, transmission planning could hurt competitive markets: FERC’s Chang

There is a “misalignment” in grid interconnection and transmission planning processes that could harm competitive power markets, according to Judy Chang, a member of the Federal Energy Regulatory Commission. Amid surging electric demand forecasts, the interconnection logjam has led grid operators to propose short-term solutions, Chang said Thursday at a meeting held in Woodstock, Vermont, by WIRES, a transmission-focused trade group. The PJM Interconnection, the Midcontinent Independent System Operator and the Southwest Power Pool have proposed one-time processes that would create a fast-track interconnection review for planned generating projects that meet certain criteria. FERC approved PJM’s plan earlier this year over the opposition of some renewable energy companies that contend selected projects will be able to unfairly jump ahead of others that have been waiting in interconnection queues. “I don’t really love short-term fixes,” Chang said. “I really prefer to have better processes — fair and competitive processes — so that generators interconnecting know the rules of the game.” Chang said various issues are coming to a head at the same time, including disputes over interconnection cost allocation and the system’s ability to upgrade interconnection infrastructure and bring on new generation as fast as possible. Those issues could affect the future of competitive power markets, Chang said, noting that some states are considering withdrawing from regional transmission organizations. “I worry about how much states might want to compromise … the open access and competitive access to transmission and competitive markets by pulling back and finding internal solutions, or by complaining about competitive markets not meeting the challenge of the day,” she said. Getting generation online as quickly as possible is a key priority, according to Chang. “We should plan, design, permit — all faster,” Chang said. “So I am a big supporter of permitting reform on all infrastructure, but also

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Environmental, consumer advocates sue Bonneville for joining SPP’s day-ahead market

Five advocacy groups on Thursday sued the Bonneville Power Administration for deciding to join the Southwest Power Pool’s Markets+ day-ahead market. The BPA’s May 9 decision to join Markets+ instead of a day-ahead market for the West developed by the California Independent System Operator will lead to higher electric costs, inefficient operations between market seams and potentially the need to build more generating facilities, according to the lawsuit filed by NW Energy Coalition, the Idaho Conservation League, the Montana Environmental Information Center, the Oregon Citizens’ Utility Board and the Sierra Club. “Bonneville’s decision on markets will affect the transmission and generation of electric power across the West and is exactly the type of major federal action that should first consider the harms it could cause to our air quality, grid system reliability, [and] fish and wildlife,” Jaimini Parekh, a senior attorney for Earthjustice, said in a press release. Earthjustice represents the advocacy groups. The BPA’s decision violated the Pacific Northwest Electric Power Planning and Conservation Act, the National Environmental Policy Act and the Administrative Procedure Act, according to the groups. “BPA did not rationally explain how joining the smaller, non-contiguous Markets+ footprint will enable it to meet its duty to promote an adequate, efficient, economical, and reliable power supply for the region that also gives priority to clean, renewable resources,” the groups said in the lawsuit filed at the U.S. Court of Appeals for the Ninth Circuit. The groups also contend that BPA’s choice to join Markets+ will likely increase the risk of blackouts during periods of high or extreme electricity demand because of the “many and complex” seams that power must be transferred across in the market as compared to CAISO’s Extended Day-Ahead Market or a “no-action” alternative. BPA does not comment on active litigation, said Nick Quinata, a

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Ignoring customers is unsustainable and bad policy

Kent Chandler is a resident senior fellow in energy and environmental policy at the R Street Institute, Chris Villarreal is an associate fellow in energy and environmental policy at R Street and Michael Giberson is a senior fellow in energy policy at R Street. Electric bills are rising, and energy adequacy is at the top of policymakers’ agendas. The most recent North American Electric Reliability Corp. analysis indicates that much of the country is at an elevated risk this summer of experiencing insufficient operating reserves in above-normal conditions. Given the backlogs of generator interconnection requests and gas turbine orders, the delays inherent in current state and federal siting regimes, and the immediacy of load growth in certain parts of the country, it is clear we can’t build our way out of this situation in the near-term. However, enabling flexible customer demand can drive significant system-wide benefits, mitigating the cost or timing of expensive system upgrades. Now is the time for states to take action to empower consumers to play a greater role in their individual and collective energy future. It’s been 30 years since some states began restructuring their electricity laws, allowing customers to buy electricity from suppliers other than their incumbent utilities. However, even with significant leaps in technological innovation and expansion of wholesale markets, implementation of retail choice and customer empowerment within vertically-integrated states has lagged. To determine the state of play for customers to make their own electricity choices, we recently completed a review of consumer choice, retail competition and customer empowerment in all 50 states and the District of Columbia, culminating in a report grading the states on their level of customer empowerment. As you might imagine, the grades vary, from Texas receiving an A- to Alabama receiving the effort’s lone F. Regardless of the grade

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XCF Targets $1B Global SAF Production Portfolio

XCF Global Inc. announced Thursday an investment plan of nearly $1 billion over the next three years to build sustainable aviation fuel (SAF) production facilities, with most of its in-the-pipeline projects in the United States. The package includes $350 million already invested in New Rise Reno in Nevada, which has a nameplate capacity of 38 million gallons a year. It started production early this year. The announcement follows XCF Global Capital Inc. and Focus Impact BH3 Acquisition Co.’s completion of their merger, creating what they said is the first publicly traded pure-play SAF producer in the U.S. Under its U.S. expansion plan, XCF has acquired three sites “ready for development”, it said in an online statement Thursday. The projects are planned to each have a nameplate capacity of 40 million gallons per annum. XCF expects to put them into operation by 2028. Expected to be completed 2027, New Rise Reno 2 will rise next to the existing plant, “enabling economies of scale and leveraging shared utilities and logistics infrastructure”, XCF said. Another project in Ft. Myers, Florida, will be built on a site with access to port infrastructure. It is expected to be completed 2028. The third, also targeted for start-up 2028, will rise in Wilson, North Carolina, eyeing East Coast markets. “These new sites are expected to replicate New Rise Reno’s modular, patent-pending site design and bundled technology stack, allowing for rapid deployment, flexible production, and capital-efficient scaling”, XCF said. “Each facility is expected to have the ability to produce multiple renewable fuel products, including SAF and renewable diesel, supporting a multi-product revenue strategy that maximizes plant utilization and financial performance”. XCF is also pursuing other “high-potential” markets, the statement said. Last month it announced a non-binding memorandum of understanding with Continual Renewable Ventures for an Australian SAF and

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ADNOC Bags 3-Year LNG Order from SEFE

ADNOC Gas PLC will supply Germany’s state-owned SEFE Securing Energy for Europe GmbH 700,000 metric tons a year of liquefied natural gas (LNG) for three years starting 2025, the companies said Thursday. Abu Dhabi National Oil Co.’s gas processing and sales arm will source the LNG from the Das Island liquefaction facility, which has a capacity of six million metric tons per annum (MMtpa). The contract is valued about $400 million. “Das Island’s LNG plant has shipped over 3,500 LNG cargoes worldwide since starting operations in 1977, strengthening ADNOC Gas’ long-term relationships with key global energy partners”, a joint statement said. SEFE chief commercial officer Frederic Barnaud commented, “This new medium-term LNG contract builds on the long-term supply agreement with ADNOC that we signed last year, thereby adding another flexible source of LNG to our portfolio – to the benefit of both Europe’s security of supply and our global market trading activities”. In November 2024, ADNOC and SEFE announced an agreement under which ADNOC will deliver one MMtpa of LNG from the Ruwais LNG project to SEFE for 15 years. Targeted to start production 2028, the 9.6-MMtpa facility on the Persian Gulf coast would more than double ADNOC’s LNG output. ADNOC announced a positive final investment decision June 2024. SEFE-Venture Global Deal Separately on Wednesday SEFE and Venture Global Inc. said they had finalized an agreement to increase SEFE’s offtake from the CP2 LNG project in Cameron Parish, Louisiana, to three MMtpa. The deal adds 750,000 metric tons a year to their 2023 agreement. “Venture Global is expected to become Germany’s largest LNG supplier, with a combined 5 MTPA [million metric tons per annum] of 20-year offtake agreements signed with SEFE and EnBW”, the Arlington, Virginia-based developer said in a statement online. “In addition to its existing long-term agreements, Venture Global

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Aker Solutions Secures Troll C Preparation Job for Fram Sor Tie-In

Aker Solutions ASA has bagged a contract from its compatriot Equinor ASA to prepare the topside of Troll C to receive and process production from the Fram Sor subsea tie-in project. The company said in a media release the deal is valued between NOK 0.5 billion ($49.6 million) and NOK 1.5 billion ($148.9 million). Fram Sor is planned as a subsea connection to Troll C, leveraging the platform’s current processing capacity. Situated 20 kilometers (12.4 miles) north of Troll C, the tie-in involves modifications to Troll C’s topside. The scope covers engineering, procurement, construction, installation, and commissioning, along with services for the new subsea templates, Aker Solutions said. The company added that it had previously carried out the front-end engineering and design for the project, led by its office in Bergen. Project management, detailed engineering, procurement, and shop engineering will be managed by Aker Solutions’ Bergen and Mumbai offices. Fabrication is planned at the company’s yard in Egersund. The project will begin immediately, with production set to start at the end of 2029. The contract will be recorded in the Life Cycle segment as order intake for the third quarter of 2025. Equinor and its partners committed over NOK 21 billion ($2.1 billion) to the Fram Sor subsea development. According to Equinor, Fram Sor is a combined development of several discoveries, which will export oil and gas via Troll C. The recoverable volumes are estimated at 116 million barrels of oil equivalent, with 75 percent being oil and 25 percent gas. The plan for development and operation, already submitted to Energy Minister Terje Aasland, includes a first for the Norwegian Continental Shelf, according to Equinor. That is, Fram Sor will use all-electric Christmas trees that eliminate the need for hydraulic fluid supplied from the platform and improve the monitoring capabilities

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Enterprises will strengthen networks to take on AI, survey finds

Private data centers: 29.5% Traditional public cloud: 35.4% GPU as a service specialists: 18.5% Edge compute: 16.6% “There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.” AI networking challenges The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders. According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included: Integration between AI network and legacy networks: 43% Bandwidth demand: 41% Coordinating traffic flows of synchronized AI workloads: 38% Latency: 36% WAN issues respondents shared included: Complexity of workload distribution across sites: 42% Latency between workloads and data at WAN edge: 39% Complexity of traffic prioritization: 36% Network congestion: 33% “It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.” Enterprise leaders intend to invest in infrastructure

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CoreWeave acquires Core Scientific for $9B to power AI infrastructure push

Such a shift, analysts say, could offer short-term benefits for enterprises, particularly in cost and access, but also introduces new operational risks. “This acquisition may potentially lower enterprise pricing through lease cost elimination and annual savings, while improving GPU access via expanded power capacity, enabling faster deployment of Nvidia chipsets and systems,” said Charlie Dai, VP and principal analyst at Forrester. “However, service reliability risks persist during this crypto-to-AI retrofitting.” This also indicates that struggling vendors such as Core Scientific and similar have a way to cash out, according to Yugal Joshi, partner at Everest Group. “However, it does not materially impact the availability of Nvidia GPUs and similar for enterprises,” Joshi added. “Consolidation does impact the pricing power of vendors.” Concerns for enterprises Rising demand for AI-ready infrastructure can raise concerns among enterprises, particularly over access to power-rich data centers and future capacity constraints. “The biggest concern that CIOs should have with this acquisition is that mature data center infrastructure with dedicated power is an acquisition target,” said Hyoun Park, CEO and chief analyst at Amalgam Insights. “This may turn out to create challenges for CIOs currently collocating data workloads or seeking to keep more of their data loads on private data centers rather than in the cloud.”

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CoreWeave achieves a first with Nvidia GB300 NVL72 deployment

The deployment, Kimball said, “brings Dell quality to the commodity space. Wins like this really validate what Dell has been doing in reshaping its portfolio to accommodate the needs of the market — both in the cloud and the enterprise.” Although concerns were voiced last year that Nvidia’s next-generation Blackwell data center processors had significant overheating problems when they were installed in high-capacity server racks, he said that a repeat performance is unlikely. Nvidia, said Kimball “has been very disciplined in its approach with its GPUs and not shipping silicon until it is ready. And Dell almost doubles down on this maniacal quality focus. I don’t mean to sound like I have blind faith, but I’ve watched both companies over the last several years be intentional in delivering product in volume. Especially as the competitive market starts to shape up more strongly, I expect there is an extremely high degree of confidence in quality.” CoreWeave ‘has one purpose’ He said, “like Lambda Labs, Crusoe and others, [CoreWeave] seemingly has one purpose (for now): deliver GPU capacity to the market. While I expect these cloud providers will expand in services, I think for now the type of customer employing services is on the early adopter side of AI. From an enterprise perspective, I have to think that organizations well into their AI journey are the consumers of CoreWeave.”  “CoreWeave is also being utilized by a lot of the model providers and tech vendors playing in the AI space,” Kimball pointed out. “For instance, it’s public knowledge that Microsoft, OpenAI, Meta, IBM and others use CoreWeave GPUs for model training and more. It makes sense. These are the customers that truly benefit from the performance lift that we see from generation to generation.”

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Oracle to power OpenAI’s AGI ambitions with 4.5GW expansion

“For CIOs, this shift means more competition for AI infrastructure. Over the next 12–24 months, securing capacity for AI workloads will likely get harder, not easier. Though cost is coming down but demand is increasing as well, due to which CIOs must plan earlier and build stronger partnerships to ensure availability,” said Pareekh Jain, CEO at EIIRTrend & Pareekh Consulting. He added that CIOs should expect longer wait times for AI infrastructure. To mitigate this, they should lock in capacity through reserved instances, diversify across regions and cloud providers, and work with vendors to align on long-term demand forecasts.  “Enterprises stand to benefit from more efficient and cost-effective AI infrastructure tailored to specialized AI workloads, significantly lower their overall future AI-related investments and expenses. Consequently, CIOs face a critical task: to analyze and predict the diverse AI workloads that will prevail across their organizations, business units, functions, and employee personas in the future. This foresight will be crucial in prioritizing and optimizing AI workloads for either in-house deployment or outsourced infrastructure, ensuring strategic and efficient resource allocation,” said Neil Shah, vice president at Counterpoint Research. Strategic pivot toward AI data centers The OpenAI-Oracle deal comes in stark contrast to developments earlier this year. In April, AWS was reported to be scaling back its plans for leasing new colocation capacity — a move that AWS Vice President for global data centers Kevin Miller described as routine capacity management, not a shift in long-term expansion plans. Still, these announcements raised questions around whether the hyperscale data center boom was beginning to plateau. “This isn’t a slowdown, it’s a strategic pivot. The era of building generic data center capacity is over. The new global imperative is a race for specialized, high-density, AI-ready compute. Hyperscalers are not slowing down; they are reallocating their capital to

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Arista Buys VeloCloud to reboot SD-WANs amid AI infrastructure shift

What this doesn’t answer is how Arista Networks plans to add newer, security-oriented Secure Access Service Edge (SASE) capabilities to VeloCloud’s older SD-WAN technology. Post-acquisition, it still has only some of the building blocks necessary to achieve this. Mapping AI However, in 2025 there is always more going on with networking acquisitions than simply adding another brick to the wall, and in this case it’s the way AI is changing data flows across networks. “In the new AI era, the concepts of what comprises a user and a site in a WAN have changed fundamentally. The introduction of agentic AI even changes what might be considered a user,” wrote Arista Networks CEO, Jayshree Ullal, in a blog highlighting AI’s effect on WAN architectures. “In addition to people accessing data on demand, new AI agents will be deployed to access data independently, adapting over time to solve problems and enhance user productivity,” she said. Specifically, WANs needed modernization to cope with the effect AI traffic flows are having on data center traffic. Sanjay Uppal, now VP and general manager of the new VeloCloud Division at Arista Networks, elaborated. “The next step in SD-WAN is to identify, secure and optimize agentic AI traffic across that distributed enterprise, this time from all end points across to branches, campus sites, and the different data center locations, both public and private,” he wrote. “The best way to grab this opportunity was in partnership with a networking systems leader, as customers were increasingly looking for a comprehensive solution from LAN/Campus across the WAN to the data center.”

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Data center capacity continues to shift to hyperscalers

However, even though colocation and on-premises data centers will continue to lose share, they will still continue to grow. They just won’t be growing as fast as hyperscalers. So, it creates the illusion of shrinkage when it’s actually just slower growth. In fact, after a sustained period of essentially no growth, on-premises data center capacity is receiving a boost thanks to genAI applications and GPU infrastructure. “While most enterprise workloads are gravitating towards cloud providers or to off-premise colo facilities, a substantial subset are staying on-premise, driving a substantial increase in enterprise GPU servers,” said John Dinsdale, a chief analyst at Synergy Research Group.

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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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