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Hardcoded root credentials in Cisco Unified CM trigger max-severity alert

The affected products-Cisco Unified CM and Unified CM SME–are core components of enterprise telephony infrastructure, widely deployed across government agencies, financial institutions, and large corporations to manage voice, video, and messaging at scale. A flaw in these systems could allow attackers to compromise an organization’s communications, letting them log in remotely with full administrative control […]

The affected products-Cisco Unified CM and Unified CM SME–are core components of enterprise telephony infrastructure, widely deployed across government agencies, financial institutions, and large corporations to manage voice, video, and messaging at scale.

A flaw in these systems could allow attackers to compromise an organization’s communications, letting them log in remotely with full administrative control to potentially intercept calls, plant backdoors, and disrupt critical services.

Cisco shares tricks to spot exploitation

Cisco said in the advisory that it hasn’t observed any exploitation in the wild, but it has provided a method for customers to detect compromises. Successful logins via the root account would leave traces in system logs located at ‘/var/log/active/syslog/secure’, it said.

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Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

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TechnipFMC Sees Surge in Q2 Profit

TechnipFMC PLC has reported $285.5 million in adjusted net income for the second quarter, up 99.8 percent from the prior three-month period and 51.1 percent against Q2 2024. The adjusted diluted earnings per share of 68 cents beat the Zacks Consensus Estimate of $0.57. TechnipFMC kept its dividend at $0.05

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Backblaze adds cloud storage security protection features

Application Keys have received a significant boost, starting with Multi-Bucket Application Keys, which make it possible to create a single key that can be used for more than one specific cloud storage bucket. This enhancement provides more granular control over bucket access, reducing the attack surface.  Secondly, Backblaze is now

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DOE Allows PJM to Operate Wagner’s Unit 4 above Operating Limit

The U.S. Department of Energy (DOE) has issued an emergency order allowing PJM Interconnection to operate Unit 4 of the Wagner Generating Station beyond its normal limits. The DOE said in a media release that it allowed PJM, in coordination with Talen Energy Corporation, to run specified units at the Wagner Generating Station as PJM deems necessary to meet anticipated electricity demand. “This order reduces the threat of power outages during peak demand conditions for millions of Americans”, Secretary of Energy Chris Wright said. The order is in effect from July 28 through October 26, 2025, and is the fifth emergency order authorized by Section 202(c) of the Federal Power Act that Secretary Wright has signed since assuming office, the DOE said. On January 20, 2025, President Donald Trump issued Executive Order 14156, declaring a National Energy Emergency. The order emphasized that the country’s insufficient energy supply and outdated infrastructure threaten U.S. energy security and have led to high energy costs for Americans, the DOE said. In the DOE’s “Resource Adequacy Report: Evaluating the Reliability and Security of the U.S. Electric Grid”, the department warned that if existing retirement plans and addition schedules continue as planned, most regions could face severe reliability problems within five years, and the power grid may fail to meet future demand. Section 202(c) of the Federal Power Act gives the DOE the authority to support electricity companies during times of emergencies when they would otherwise not be permitted to supply Americans with reliable, consistent power by superseding normal regulatory requirements, the DOE said. PJM has expressed concerns about resource adequacy due to load growth and the retirement of dispatchable resources. In its February 2023 assessment, PJM underscored reliability risks stemming from mismatched timing between retirements, load growth, and new generation entry. To contact the author,

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Baker Hughes Wins Contract from Genesis Energy for Offshore Oil Pipelines

Baker Hughes said it was awarded a contract by Genesis Energy to provide drag-reducing agents (DRAs) for two critical offshore oil pipelines serving the U.S. Gulf Coast. The multi-year agreement includes chemicals, associated management services, and the deployment of Baker Hughes’ Leucipa automated field production solution to optimize operations, the company said in a news release. Under the agreement, Baker Hughes will provide DRAs from its FLO product line to support the transportation of both light and heavy crude from offshore platforms to storage and refining facilities in Texas and Louisiana. Financial terms of the contract were not disclosed. The use of DRAs and midstream solutions will significantly increase the capacity of the Cameron Highway Oil Pipeline and Poseidon systems, each of which is operated and 64 percent owned by Genesis Energy, allowing for increased oil production and enhanced crude slate flexibility in the Gulf, Baker Hughes said. “As America’s energy demand continues to grow, it is crucial that midstream capacity keep up with production to avoid bottlenecks,” Amerino Gatti, executive vice president of oilfield services and equipment at Baker Hughes, said. “Fortunately, technology provides the solution to this challenge. By utilizing DRAs to reduce friction between pipelines and the hydrocarbon resources that flow through them, as well as AI to optimize their operation, Genesis can increase its capacity without the need for large investments of time and capital, all while helping the country meet its energy needs”. Strategic Partnership with Petronas Earlier in the month, Baker Hughes said it entered into a memorandum of understanding (MoU) with Petroliam Nasional Berhad (Petronas) on a strategic partnership to explore business initiatives aimed at supporting the delivery of Asia’s energy expansion and transition. The MoU “serves as a foundation for collaboration initiatives between the two companies to enhance local supply chain capabilities

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350 Offshore Workers ‘Traveling Towards Strike Action’

UK union Unite announced that around 350 offshore workers are “traveling towards strike action in disputes with offshore operators and companies”, in a statement sent to Rigzone by the Unite team recently. Workers employed by Repsol, CNOOC, and MCL Medics are all involved in strike ballots or forthcoming industrial action on offshore platforms, Unite highlighted in the statement. “Over 200 Repsol workers have rejected several unacceptable pay offers with the latest amounting to a three per cent increase in basic pay,” the union said in the statement. “Unite can confirm its membership has emphatically backed strike by 92.1 per cent after rejecting the latest pay offer,” it added. The union noted in the statement that industrial action is now set to hit Repsol’s Arbroath, AUK, Bleoholm, Claymore, Clyde, Fulmer, Montrose, and Piper Bravo assets “in a series of stoppages”. Unite said a one day strike will commence at 06:00 on August 6, 13, and 28 and added that a further stoppage will take place on September 4. A continuous overtime ban will also be in operation, according to the statement. The union claimed in the statement that “the impact of industrial action will lead to the shutting down of platforms as the workers involved include control room operators, supervisors, electricians, technicians, mechanics and HSE advisors”. A further 130 CNOOC workers are being balloted on industrial action in a dispute over jobs, pay, and conditions on the Buzzard, Scott, and Golden Eagle platforms, Unite said in the statement, noting that several offers concerning pay and allowances have been rejected by the workers, with the latest amounting to a 4.25 percent increase in basic pay. The union highlighted in the statement that a ballot on industrial action opened on July 25 and will close August 28. “Unite believes that the impact of

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Australia’s Cue Energy Posts Lower Production

Cue Energy Resources Ltd., which produces oil and gas in Australia, Indonesia and New Zealand, has reported an output of 148,300 barrels of oil equivalent (boe) for the fourth quarter of fiscal year 2025. That was down from 156,100 boe for the prior three-month period. Cue Energy derived over 1,900 barrels and 0.34 petajoules from Australia in the quarter ended June, up for liquids but down for gas. New Zealand production dropped to just over 19,000 barrels. In Indonesia, the Mahato block contributed over 52,000 barrels, up from fiscal Q3 2025; the Sampang production sharing contract (PSC) produced 215 barrels and 0.12 petajoules, both down sequentially. Cash receipts totaled AUD 11.1 million ($7.21 million), down from AUD 15.3 million for fiscal Q3 2025. “Net cash flow was impacted by higher cash outflow from accelerated drilling activities at Mahato and delayed receipts from a Maari oil sale, with proceeds received after quarter end”, Cue Energy said. “The company’s balance sheet remains in a strong position, with no debt and a cash balance of $10.8 million”. In Australia, the volume of gas sold “remained consistent with the previous period, with the recently drilled WM29 and WM30 wells continuing to outperform pre-drill expectations”, Cue Energy said without disclosing sale volume figures. “The Northern Gas Pipeline (NGP) remained open for most of the quarter, closing again at the end of June due to maintenance works affecting other NT [Northern Territory] gas supply. Under existing contract terms, when the NGP is closed, Cue’s east coast gas sales are redirected into the NT, including to the NT government, minimizing the impact of NGP outages. “Oil sales from Mereenie were partially constrained due to current offtake arrangements. As a result, four wells with lower gas-to-oil ratios have been temporarily shut in to reduce liquids volumes, leading to

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India’s Nayara Cuts Refinery Run Rate after EU Sanctions

Nayara Energy Ltd. is reducing run rates at its west India refinery as more domestic and global players spurn the refiner after the EU imposed sanctions on the company.  The 400,000 barrel-a-day Vadinar refinery is currently operating at about 70 percent to 80 percent, said the people, who asked not to be named due to the sensitivity of the matter. Across India, processors typically run plants at close to 100 percent of nameplate capacity, or over.  The lowered operations are due to mounting logistical issues and trading partners turning away from Nayara, making it difficult for the company to monetize and transport its refined output to customers. This week, local shipowners are reassessing their dealings with Nayara, citing pressure from mutual-insurance groups known as P&I clubs, said two shipbrokers who specialize in fixing tankers for Indian routes. Many ships plying Indian coastal routes rely on P&I clubs that are based in the UK and across Europe, which comply with EU sanctions.  Ships found to be handling Nayara cargoes and trades could lose coverage from western P&I groups, which largely represents European insurers. A company spokesperson didn’t immediately reply to email and phone message seeking comments. Nayara exports up to 30 percent of its oil-products output, and sells the balance to local markets through its network of petrol pumps and sales to state refiners, according to rating agency CareEdge. At least one ship, the Bourbon, is currently idling off the Indian coast after loading a Nayara fuel cargo from Vadinar port, ship-tracking data show. The tanker, owned by Mumbai-based Seven Islands Shipping and covered by UK-based NorthStandard P&I club, was meant to deliver diesel to Mangalore.  Shippers are monitoring the status of this vessel due to the sensitivities around its Nayara cargo and western P&I coverage. Seven Islands didn’t immediately reply to an email

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Macquarie Strategists Forecast USA Crude Inventory Build

In an oil and gas report sent to Rigzone by the Macquarie team late Monday, Macquarie strategists, including Walt Chancellor, revealed that they are forecasting that U.S. crude inventories will be up by 4.7 million barrels for the week ending July 25. “This follows a 3.2 million barrel draw in the prior week, with the crude balance realizing looser than our expectations,” the strategists said in the report. “For this week’s crude balance, from refineries, we model a small increase in crude runs (+0.1 million barrels per day) following a strong print last week,” they added. “Among net imports, we model a very large increase, with exports down (-0.6 million barrels per day) and imports up (+0.7 million barrels per day) on a nominal basis,” they continued. The strategists warned in the report that timing of cargoes remains a source of potential volatility in this week’s crude balance. “From implied domestic supply (prod.+adj.+transfers), we look for a small reduction (-0.1 million barrels per day) on a nominal basis this week,” the strategists went on to state in the report. “Rounding out the picture, we anticipate a small build in SPR [Strategic Petroleum Reserve] stocks (+0.2 million barrels) this week,” they added. The Macquarie strategists also highlighted in the report that, “among products”, they “look for small builds across the board (gasoline/ distillate/jet +0.3/+0.7/+0.1 million barrels)”. “We model implied demand for these three products at ~14.6 million barrels per day for the week ending July 25,” the strategists added in the report. In its latest weekly petroleum status report at the time of writing, which was released on July 23 and showed data for the week ending July 18, the U.S. Energy Information Administration (EIA) highlighted that U.S. commercial crude oil inventories, excluding those in the SPR, decreased by 3.2 million

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AI Deployments are Reshaping Intra-Data Center Fiber and Communications

Artificial Intelligence is fundamentally changing the way data centers are architected, with a particular focus on the demands placed on internal fiber and communications infrastructure. While much attention is paid to the fiber connections between data centers or to end-users, the real transformation is happening inside the data center itself, where AI workloads are driving unprecedented requirements for bandwidth, low latency, and scalable networking. Network Segmentation and Specialization Inside the modern AI data center, the once-uniform network is giving way to a carefully divided architecture that reflects the growing divergence between conventional cloud services and the voracious needs of AI. Where a single, all-purpose network once sufficed, operators now deploy two distinct fabrics, each engineered for its own unique mission. The front-end network remains the familiar backbone for external user interactions and traditional cloud applications. Here, Ethernet still reigns, with server-to-leaf links running at 25 to 50 gigabits per second and spine connections scaling to 100 Gbps. Traffic is primarily north-south, moving data between users and the servers that power web services, storage, and enterprise applications. This is the network most people still imagine when they think of a data center: robust, versatile, and built for the demands of the internet age. But behind this familiar façade, a new, far more specialized network has emerged, dedicated entirely to the demands of GPU-driven AI workloads. In this backend, the rules are rewritten. Port speeds soar to 400 or even 800 gigabits per second per GPU, and latency is measured in sub-microseconds. The traffic pattern shifts decisively east-west, as servers and GPUs communicate in parallel, exchanging vast datasets at blistering speeds to train and run sophisticated AI models. The design of this network is anything but conventional: fat-tree or hypercube topologies ensure that no single link becomes a bottleneck, allowing thousands of

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ABB and Applied Digital Build a Template for AI-Ready Data Centers

Toward the Future of AI Factories The ABB–Applied Digital partnership signals a shift in the fundamentals of data center development, where electrification strategy, hyperscale design and readiness, and long-term financial structuring are no longer separate tracks but part of a unified build philosophy. As Applied Digital pushes toward REIT status, the Ellendale campus becomes not just a development milestone but a cornerstone asset: a long-term, revenue-generating, AI-optimized property underpinned by industrial-grade power architecture. The 250 MW CoreWeave lease, with the option to expand to 400 MW, establishes a robust revenue base and validates the site’s design as AI-first, not cloud-retrofitted. At the same time, ABB is positioning itself as a leader in AI data center power architecture, setting a new benchmark for scalable, high-density infrastructure. Its HiPerGuard Medium Voltage UPS, backed by deep global manufacturing and engineering capabilities, reimagines power delivery for the AI era, bypassing the limitations of legacy low-voltage systems. More than a component provider, ABB is now architecting full-stack electrification strategies at the campus level, aiming to make this medium-voltage model the global standard for AI factories. What’s unfolding in North Dakota is a preview of what’s coming elsewhere: AI-ready campuses that marry investment-grade real estate with next-generation power infrastructure, built for a future measured in megawatts per rack, not just racks per row. As AI continues to reshape what data centers are and how they’re built, Ellendale may prove to be one of the key locations where the new standard was set.

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Amazon’s Project Rainier Sets New Standard for AI Supercomputing at Scale

Supersized Infrastructure for the AI Era As AWS deploys Project Rainier, it is scaling AI compute to unprecedented heights, while also laying down a decisive marker in the escalating arms race for hyperscale dominance. With custom Trainium2 silicon, proprietary interconnects, and vertically integrated data center architecture, Amazon joins a trio of tech giants, alongside Microsoft’s Project Stargate and Google’s TPUv5 clusters, who are rapidly redefining the future of AI infrastructure. But Rainier represents more than just another high-performance cluster. It arrives in a moment where the size, speed, and ambition of AI infrastructure projects have entered uncharted territory. Consider the past several weeks alone: On June 24, AWS detailed Project Rainier, calling it “a massive, one-of-its-kind machine” and noting that “the sheer size of the project is unlike anything AWS has ever attempted.” The New York Times reports that the primary Rainier campus in Indiana could include up to 30 data center buildings. Just two days later, Fermi America unveiled plans for the HyperGrid AI campus in Amarillo, Texas on a sprawling 5,769-acre site with potential for 11 gigawatts of power and 18 million square feet of AI data center capacity. And on July 1, Oracle projected $30 billion in annual revenue from a single OpenAI cloud deal, tied to the Project Stargate campus in Abilene, Texas. As Data Center Frontier founder Rich Miller has observed, the dial on data center development has officially been turned to 11. Once an aspirational concept, the gigawatt-scale campus is now materializing—15 months after Miller forecasted its arrival. “It’s hard to imagine data center projects getting any bigger,” he notes. “But there’s probably someone out there wondering if they can adjust the dial so it goes to 12.” Against this backdrop, Project Rainier represents not just financial investment but architectural intent. Like Microsoft’s Stargate buildout in

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Google and CTC Global Partner to Fast-Track U.S. Power Grid Upgrades

On June 17, 2025, Google and CTC Global announced a joint initiative to accelerate the deployment of high-capacity power transmission lines using CTC’s U.S.-manufactured ACCC® advanced conductors. The collaboration seeks to relieve grid congestion by rapidly upgrading existing infrastructure, enabling greater integration of clean energy, improving system resilience, and unlocking capacity for hyperscale data centers. The effort represents a rare convergence of corporate climate commitments, utility innovation, and infrastructure modernization aligned with the public interest. As part of the initiative, Google and CTC issued a Request for Information (RFI) with responses due by July 14. The RFI invites utilities, state energy authorities, and developers to nominate transmission line segments for potential fast-tracked upgrades. Selected projects will receive support in the form of technical assessments, financial assistance, and workforce development resources. While advanced conductor technologies like ACCC® can significantly improve the efficiency and capacity of existing transmission corridors, technological innovation alone cannot resolve the grid’s structural challenges. Building new or upgraded transmission lines in the U.S. often requires complex permitting from multiple federal, state, and local agencies, and frequently faces legal opposition, especially from communities invoking Not-In-My-Backyard (NIMBY) objections. Today, the average timeline to construct new interstate transmission infrastructure stretches between 10 and 12 years, an untenable lag in an era when grid reliability is under increasing stress. In 2024, the Federal Energy Regulatory Commission (FERC) reported that more than 2,600 gigawatts (GW) of clean energy and storage projects were stalled in the interconnection queue, waiting for sufficient transmission capacity. The consequences affect not only industrial sectors like data centers but also residential areas vulnerable to brownouts and peak load disruptions. What is the New Technology? At the center of the initiative is CTC Global’s ACCC® (Aluminum Conductor Composite Core) advanced conductor, a next-generation overhead transmission technology engineered to boost grid

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CoreSite’s Denver Power Play: Acquisition of Historic Carrier Hotel Supercharges Interconnection Capabilities

In this episode of the Data Center Frontier Show podcast, we unpack one of the most strategic data center real estate moves of 2025: CoreSite’s acquisition of the historic Denver Gas and Electric Building. With this transaction, CoreSite, an American Tower company, cements its leadership in the Rocky Mountain region’s interconnection landscape, expands its DE1 facility, and streamlines access to Google Cloud and the Any2Denver peering exchange. Podcast guests Yvonne Ng, CoreSite’s General Manager and Vice President for the Central Region, and Adam Post, SVP of Finance and Corporate Development, offer in-depth insights into the motivations behind the deal, the implications for regional cloud and network ecosystems, and what it means for Denver’s future as a cloud interconnection hub. Carrier Hotel to Cloud Hub Located at 910 15th Street in downtown Denver, the Denver Gas and Electric Building is widely known as the most network-dense facility in the region. Long the primary interconnection hub for the Rocky Mountains, the building has now been fully acquired by CoreSite, bringing ownership and operations of the DE1 data center under a single umbrella. “This is a strategic move to consolidate control and expand our capabilities,” said Ng. “By owning the building, we can modernize infrastructure more efficiently, double the space and power footprint of DE1, and deliver an unparalleled interconnection ecosystem.” The acquisition includes the facility’s operating businesses and over 100 customers. CoreSite will add approximately 3 critical megawatts (CMW) of data center capacity, nearly doubling DE1’s footprint. Interconnection in the AI Era As AI, multicloud strategies, and real-time workloads reshape enterprise architecture, interconnection has never been more vital. CoreSite’s move elevates Denver’s role in this transformation. With the deal, CoreSite becomes the only data center provider in the region offering direct connections to major cloud platforms, including the dedicated Google Cloud Platform

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Texas Senate Bill 6: A Bellwether On How States May Approach Data Center Energy Use

Texas isn’t the first state to begin attempting to regulate energy use statewide. The impact of this legislation could shape how other states, of which there are at least a dozen in process, could shape their own programs. What are Other States Doing? There’s a clear shift toward targeted utility regulation for mega-load data centers. States are increasingly requiring cost alignment, with large consumers bearing infrastructure costs rather than residential cross-subsidization and implementing specialized contract/tariff terms, taking advantage of these huge contracts to uniquely tailor each contract. These agreements are also being used to enforce environmental responsibility through reporting mandates and permitting. And for those estates still focusing on incentivization to draw data center business, coupling incentives with guardrails, balancing investment attraction with equitable distribution. What follows is a brief  overview of U.S. states that have enacted or proposed special utility regulations and requirements for data centers. The focus is  on tariffs, cost-allocation mechanisms, green mandates, billing structures, and transparency rules. California SB 57 (2025): Introduces a special electricity tariff for large users—including data centers—with embedded zero-carbon procurement targets, aiming to integrate grid reliability with emissions goals. AB 222 (2025): Targets consumption transparency, requiring data centers to report energy usage with a specific focus on AI-driven load. Broader California Public Utilities  actions: Proposals for efficiency mandates like airflow containment via Title 24; opening utility rate cases to analyze infrastructure cost recovery from large consumers. Georgia Public Service Commission  rule changes (January 2025): Georgia Power can impose minimum billing, longer contract durations, and special terms for customers with loads >100 MW—chiefly data centers. SB 34: Mandates that data centers either assume full infrastructure costs or pay equitably—not distributing these costs to residential users. Ohio AEP Ohio proposed in 2024: For loads >25 MW (data centers, crypto), demand minimum charges, 10-year contracts, and exit penalties before new infrastructure

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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