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Synaptec aims to tackle million pound wind farm cable problem

Glasgow-based Synaptec has developed new technology designed to tackle the issue of cable failures on offshore wind farms that can cost operators millions. The company’s Greenlight provides automated monitoring of the joints and terminations in a cable network, delivering early warnings of emerging faults before they become failures. The system is based on Synaptec’s Distributed […]

Glasgow-based Synaptec has developed new technology designed to tackle the issue of cable failures on offshore wind farms that can cost operators millions.

The company’s Greenlight provides automated monitoring of the joints and terminations in a cable network, delivering early warnings of emerging faults before they become failures.

The system is based on Synaptec’s Distributed Electrical Sensing (DES) technology, which was Synaptec previously deployed on the latest phase of the Dogger Bank wind farm.

Cable failures are a major issue facing offshore wind farms, with a single fault in transmission networks and offshore wind developments capable of costing up to £1m per day in lost revenue.

Allianz, the insurer for UK offshore wind projects including Dogger Bank and East Anglia Three, warned that damage to cables is the main cause of offshore wind insurance claims, accounting for 53% of claims across its global portfolio from 2014-2020.

Around 70% of these failures originate in the joints and terminations rather than the cables themselves.

The Global Underwater Hub (GUH) recently launched a forum to tackle rising costs and reliability issues facing subsea cable systems on the UK’s offshore wind farms.

Synaptec vice-president of applications, Dr Steven Blair, said: “Greenlight gives operators control over the most unpredictable and expensive aspect of offshore cable operations and maintenance.

“It’s a system designed not just to collect data, but to deliver clear, early, and location-specific insight that finds the early warning signs of failure.

“The return on investment is immediate – it pays for itself the first time it pre-empts an issue that would otherwise shut down a wind farm.”

Synaptec has made the first commercial installations of Greenlight with offshore wind operators and transmission systems internationally. There are plans for further large-scale installations throughout 2025.

The firm previously raised £6.5m in funding last year, with participation from Megger Group, Proserv, and Equity Gap.

The company aims to use the funds to support its expansion, including the development of new manufacturing facilities in Scotland.

The company had previously said that it aims to increase its revenues fourfold in the next two to three years, along with doubling its headcount as it takes advantage of the 24.4GW pipeline of floating offshore wind capacity off Scotland’s shores.

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Pantheon of college football gets a Wi-Fi upgrade

Notre Dame has fully adopted mobile ticketing and introduced grab-and-go concession stands, with plans to expand them further. Alcohol sales were recently approved, prompting efforts to support new services like mobile carts. In premium areas, fans can stream various games during events. Notre Dame also tested mobile ordering for concessions

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The U.S. leads the world in AI (job) anxiety

The Americans have the highest search volume with a population-adjusted value of 440,000 search queries on the topic of AI job loss, while their attitude towards AI is moderately positive at 54.5%. The intensity score of 3 for the U.S. shows that the concern of losing jobs to AI is

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Tigera extends cloud-native networking with Calico 3.30

This logging capability is exposed through two new components: Goldmane: A gRPC-based API endpoint that aggregates flow logs from Calico’s Felix component, which runs on each node. Whisker: A web-based visualization tool built with React and TypeScript that connects to the Goldmane API. The combination of these components provides detailed

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PetroChina Boasts Stable Growth in Q1 2025

PetroChina Company Limited has reported a revenue of RMB 753.11 billion ($103.5 billion) for the first quarter, with a net income of RMB 46.81 billion ($6.4 billion), up 2.3 percent year-on-year. The company said in a media release that it sustained growth in oil and gas output while bolstering momentum in new energies. It said it enhanced cost management in oil and gas production, as well as improved the structure of its overseas assets. Oil and gas output rose 0.7 percent year-on-year to 467 million barrels of oil equivalent (MMboe). Domestic production rose 1.2 percent year-on-year to 418 MMboe. Wind and solar power generation grew 94.6 percent to 1.68 billion kilowatt-hours. The oil, gas, and new energies business reported an operating profit of RMB 46.09 billion ($6.3 billion). The company responded to market demand by advancing refining and chemical upgrades, optimizing production plans, and focusing on specialty refined products and new materials to boost high-value-added product sales, it said. The company said it is advancing its refining and chemical operations with key projects Jilin and Guangxi Petrochemical, and Dushanzi Petrochemical Tarim Ethane-to-Ethylene. In Q1 2025, it processed 337 million barrels of crude oil, with refined product output at 28.57 million tons. Ethylene output reached 2.27 million tons, chemical commodities totaled 9.96 million tons, and new materials surged by 37.5 percent year-on-year to 0.80 million tons. The company’s chemicals and new materials business generated an operating profit of RMB 5.39 billion ($741.2 million), supported by improved marketing and steady market share growth. It enhanced coordination in product dispatch and inventory management, adopted flexible marketing strategies, and promoted retail sales, maximizing efficiency across the industrial chain. The company said it has also advanced non-fuel businesses and proprietary products, improved its integrated energy service network, and expanded international trade capabilities. Natural gas marketing

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Forbes laments ‘dark moment’ at Grangemouth but says ‘real progress’ being made

Real progress is being made on the report which charts a future for Grangemouth, the deputy first minister has said after oil refining finally ended at the industrial site earlier this week. Kate Forbes said the end of oil processing at Scotland’s last refinery was a “dark moment” in the country’s industrial history. However she said Scottish Enterprise has received 66 inquiries related to Project Willow – which plots a future for Grangemouth in low-carbon energy – as well as other activities at the site. Owners Petroineos confirmed on Tuesday that Grangemouth has now transitioned to become an import terminal for finished fuels rather than an oil refinery. The company says the refinery, which opened in 1924, is loss-making. In recent months, hundreds of workers have taken voluntary redundancy while a number of compulsory redundancies have also been made. Forbes delivered an update on the situation to MSPs on Wednesday. Both the Scottish and UK governments had commissioned Project Willow to try and preserve jobs at the site. She said: “Yesterday’s news that Petroineos has now ceased refining at Grangemouth is a devastating blow to Scotland’s economy, the workforce and the local community. “My thoughts are with all of the workers impacted as they navigate these difficult times. “Whilst we have anticipated this moment since Petroineos made their decision last September, it is none the less a dark moment in Scotland’s industrial history. “It is clear that real progress is being made on both the outputs from Project Willow and other associated manufacturing opportunities. “Scottish Enterprise are dealing with 66 inquiries aligned to both the full range of technologies set out in the report as well as to manufacturing activities carried out across the wider cluster.” She said the situation is “nothing short of an economic crisis” as she called

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UK falling behind Norway and US on carbon capture amid Acorn delays, Storegga chief says

Storegga has “dramatically” slowed down spending in the UK amid delays to funding for the Acorn carbon capture and storage (CCS) project in Scotland. It comes amid claims from the SNP Westminster leader Stephen Flynn that Scotland is being treated as an “afterthought” over delays to Acorn. Speaking to Energy Voice, Storegga chief executive Tim Stedman said the company is allocating more resources to projects in Norway and the United States amid continued uncertainty for the Acorn. Stedman also warned that if Acorn does not go ahead, it “would have fairly major ramifications” for Scotland’s ability to decarbonise its existing heavy industries. Backed by Storegga alongside North Sea operators Shell, Harbour Energy and North Sea Midstream Partners, the Acorn project is aiming to decarbonise industrial emitters across Scotland. The industrial sites included in the Scottish Cluster emit an estimated 9.3 million tonnes of CO2 per year, accounting for around 80% of Scotland’s industrial emissions. After capturing industrial emissions, the Acorn partners will transport the CO2 to Peterhead via repurposed pipelines for permanent offshore storage. In addition, the Acorn developers are also exploring options to receive CO2 shipments by sea at Peterhead. A report released last year estimated the Acorn project and Scottish Cluster could bring an estimated £17.7 billion in economic benefit to the UK economy by 2050. Track-1 and Track-2 Clusters Acorn received initial UK government funding in 2023 when it was shortlisted for so-called Track-2 status alongside Harbour Energy’s Viking CCS project in the Humber. But since 2023, the Track-2 projects have endured months of uncertainty around future government support. Meanwhile, the two Track-1 CCS projects in north west and north east England are moving ahead after Labour committed £22bn last year. Stedman said while the news that the Track-1 East Coast Cluster and HyNet North West projects are proceeding

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From Houston to Aberdeen: Travel firm shifts energy management

As global energy markets shift, travel company ATPI has appointed Aberdeen-based Zara Higgins as its head of energy, a role previously held in Houston, Texas. The UK and US, which were formerly largely aligned on energy transition policy, have become divided as politicians at either side of the Atlantic opt for widely different approaches to security of supply and sentiment towards green technologies, namely wind turbines. Under Joe Biden, the US introduced the Inflation Reduction Act, which was seen as a game changer for renewables manufacturing and now under Donald Trump, Equinor has suspended the construction of its 2.1 GW Empire Wind project. Despite this, ATPI’s customers are still pursuing lower-carbon opportunities, especially within travel plans. Higgins told Energy Voice: “Regardless of what’s going on politically, I do think that all of these big companies are still trying to diversify and know that they’ve got to over the course of the next three, five, ten years and whatever that might look like.” © Shutterstock FeedCharts listing the country-by-country tariffs President Trump levied on ‘Liberation Day’ are displayed in the press briefing room at the White House. Photo by SHAWN THEW/EPA-EFE/Shutterstock (15236643e) With that in mind, ATPI needs to ensure that “what we’re doing is in line with what the industry’s future looks like,” the new energy boss added. Addressing the gulf in approaches between the UK’s approach, which has been seen as anti-oil and gas, to Trump’s “drill baby drill” mentality, Higgins said “it’s worlds apart in terms of what’s happening in North Sea versus what’s happening in other parts of the world, the US included.” Ahead of the 47th US president’s inauguration, he took to his social media platform Truth Social to call for the UK to abandon its offshore wind ambitions and “open up the North Sea” as

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Synaptec aims to tackle million pound wind farm cable problem

Glasgow-based Synaptec has developed new technology designed to tackle the issue of cable failures on offshore wind farms that can cost operators millions. The company’s Greenlight provides automated monitoring of the joints and terminations in a cable network, delivering early warnings of emerging faults before they become failures. The system is based on Synaptec’s Distributed Electrical Sensing (DES) technology, which was Synaptec previously deployed on the latest phase of the Dogger Bank wind farm. Cable failures are a major issue facing offshore wind farms, with a single fault in transmission networks and offshore wind developments capable of costing up to £1m per day in lost revenue. Allianz, the insurer for UK offshore wind projects including Dogger Bank and East Anglia Three, warned that damage to cables is the main cause of offshore wind insurance claims, accounting for 53% of claims across its global portfolio from 2014-2020. Around 70% of these failures originate in the joints and terminations rather than the cables themselves. The Global Underwater Hub (GUH) recently launched a forum to tackle rising costs and reliability issues facing subsea cable systems on the UK’s offshore wind farms. Synaptec vice-president of applications, Dr Steven Blair, said: “Greenlight gives operators control over the most unpredictable and expensive aspect of offshore cable operations and maintenance. “It’s a system designed not just to collect data, but to deliver clear, early, and location-specific insight that finds the early warning signs of failure. “The return on investment is immediate – it pays for itself the first time it pre-empts an issue that would otherwise shut down a wind farm.” Synaptec has made the first commercial installations of Greenlight with offshore wind operators and transmission systems internationally. There are plans for further large-scale installations throughout 2025. The firm previously raised £6.5m in funding last year, with

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Around half of SNP voters back nuclear power in energy mix – poll

Roughly half of the SNP’s voters believe nuclear power should be part of Scotland’s mix of clean energy generation, a poll suggests, despite the party’s longstanding opposition to it. Polling for the campaign group Britain Remade found 52% of those who voted for the party in 2021 believe nuclear power should be included in Scotland’s energy mix to meet the 2045 net zero target. Meanwhile, 57% of those who voted for the party in last year’s general election felt the same way, the poll found. A total of 56% of Scots thought nuclear power should be part of Scotland’s clean energy mix to meet the targets, while 23% disagreed, and 21% said they did not know. Opinium surveyed 1,000 Scottish adults between April 22 and 25. Britain Remade describes itself as a grassroots campaign for economic growth. Founder Sam Richards said: “The message from our polling is clear: when it comes to safe and reliable nuclear power, the SNP is not just out of step with the majority of Scots – they’re at odds with a huge number of their own supporters. “It’s time for the SNP to stop saying ‘no’ to new nuclear and start listening to the people, the experts, and the communities who know what’s at stake. “Investing in a new generation of nuclear power is not just critical if Scotland is to hit its 2045 net zero target – it is essential for Scotland’s economy. Grangemouth could be transformed by SMR (small modular reactor) technology, but the SNP’s opposition is standing in the way.” Scotland nuclear energy Scotland has one remaining active nuclear reactor, at Torness in East Lothian, which is due to shut down in 2030. Last week the deactivated Hunterston B power station was declared “nuclear free” as all fuel elements were removed ahead

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Nvidia AI supercluster targets agents, reasoning models on Oracle Cloud

Oracle has previously built an OCI Supercluster with 65,536 Nvidia H200 GPUs using the older Hopper GPU technology and no CPU that offers up to 260 exaflops of peak FP8 performance. According to the blog post announcing the availability, the Blackwell GPUs are available via Oracle’s public, government, and sovereign clouds, as well as in customer-owned data centers through its OCI Dedicated Region and Alloy offerings. Oracle joins a growing list of cloud providers that have made the GB200 NVL72 system available, including Google, CoreWeave and Lambda. In addition, Microsoft offers the GB200 GPUs, though they are not deployed as an NVL72 machine.

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Deep Data Center: Neoclouds as the ‘Picks and Shovels’ of the AI Gold Rush

In 1849, the discovery of gold in California ignited a frenzy, drawing prospectors from around the world in pursuit of quick fortune. While few struck it rich digging and sifting dirt, a different class of entrepreneurs quietly prospered: those who supplied the miners with the tools of the trade. From picks and shovels to tents and provisions, these providers became indispensable to the gold rush, profiting handsomely regardless of who found gold. Today, a new gold rush is underway, in pursuit of artificial intelligence. And just like the days of yore, the real fortunes may lie not in the gold itself, but in the infrastructure and equipment that enable its extraction. This is where neocloud players and chipmakers are positioned, representing themselves as the fundamental enablers of the AI revolution. Neoclouds: The Essential Tools and Implements of AI Innovation The AI boom has sparked a frenzy of innovation, investment, and competition. From generative AI applications like ChatGPT to autonomous systems and personalized recommendations, AI is rapidly transforming industries. Yet, behind every groundbreaking AI model lies an unsung hero: the infrastructure powering it. Enter neocloud providers—the specialized cloud platforms delivering the GPU horsepower that fuels AI’s meteoric rise. Let’s examine how neoclouds represent the “picks and shovels” of the AI gold rush, used for extracting the essential backbone of AI innovation. Neoclouds are emerging as indispensable players in the AI ecosystem, offering tailored solutions for compute-intensive workloads such as training large language models (LLMs) and performing high-speed inference. Unlike traditional hyperscalers (e.g., AWS, Azure, Google Cloud), which cater to a broad range of use cases, neoclouds focus exclusively on optimizing infrastructure for AI and machine learning applications. This specialization allows them to deliver superior performance at a lower cost, making them the go-to choice for startups, enterprises, and research institutions alike.

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Soluna Computing: Innovating Renewable Computing for Sustainable Data Centers

Dorothy 1A & 1B (Texas): These twin 25 MW facilities are powered by wind and serve Bitcoin hosting and mining workloads. Together, they consumed over 112,000 MWh of curtailed energy in 2024, demonstrating the impact of Soluna’s model. Dorothy 2 (Texas): Currently under construction and scheduled for energization in Q4 2025, this 48 MW site will increase Soluna’s hosting and mining capacity by 64%. Sophie (Kentucky): A 25 MW grid- and hydro-powered hosting center with a strong cost profile and consistent output. Project Grace (Texas): A 2 MW AI pilot project in development, part of Soluna’s transition into HPC and machine learning. Project Kati (Texas): With 166 MW split between Bitcoin and AI hosting, this project recently exited the Electric Reliability Council of Texas, Inc. planning phase and is expected to energize between 2025 and 2027. Project Rosa (Texas): A 187 MW flagship project co-located with wind assets, aimed at both Bitcoin and AI workloads. Land and power agreements were secured by the company in early 2025. These developments are part of the company’s broader effort to tackle both energy waste and infrastructure bottlenecks. Soluna’s behind-the-meter design enables flexibility to draw from the grid or directly from renewable sources, maximizing energy value while minimizing emissions. Competition is Fierce and a Narrower Focus Better Serves the Business In 2024, Soluna tested the waters of providing AI services via a  GPU-as-a-Service through a partnership with HPE, branded as Project Ada. The pilot aimed to rent out cloud GPUs for AI developers and LLM training. However, due to oversupply in the GPU market, delayed product rollouts (like NVIDIA’s H200), and poor demand economics, Soluna terminated the contract in March 2025. The cancellation of the contract with HPE frees up resources for Soluna to focus on what it believes the company does best: designing

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Quiet Genius at the Neutral Line: How Onics Filters Are Reshaping the Future of Data Center Power Efficiency

Why Harmonics Matter In a typical data center, nonlinear loads—like servers, UPS systems, and switch-mode power supplies—introduce harmonic distortion into the electrical system. These harmonics travel along the neutral and ground conductors, where they can increase current flow, cause overheating in transformers, and shorten the lifespan of critical power infrastructure. More subtly, they waste power through reactive losses that don’t show up on a basic utility bill, but do show up in heat, inefficiency, and increased infrastructure stress. Traditional mitigation approaches—like active harmonic filters or isolation transformers—are complex, expensive, and often require custom integration and ongoing maintenance. That’s where Onics’ solution stands out. It’s engineered as a shunt-style, low-pass filter: a passive device that sits in parallel with the circuit, quietly siphoning off problematic harmonics without interrupting operations.  The result? Lower apparent power demand, reduced electrical losses, and a quieter, more stable current environment—especially on the neutral line, where cumulative harmonic effects often peak. Behind the Numbers: Real-World Impact While the Onics filters offer a passive complement to traditional mitigation strategies, they aren’t intended to replace active harmonic filters or isolation transformers in systems that require them—they work best as a low-complexity enhancement to existing power quality designs. LoPilato says Onics has deployed its filters in mission-critical environments ranging from enterprise edge to large colos, and the data is consistent. In one example, a 6 MW data center saw a verified 9.2% reduction in energy consumption after deploying Onics filters at key electrical junctures. Another facility clocked in at 17.8% savings across its lighting and support loads, thanks in part to improved power factor and reduced transformer strain. The filters work by targeting high-frequency distortion—typically above the 3rd harmonic and up through the 35th. By passively attenuating this range, the system reduces reactive current on the neutral and helps stabilize

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New IEA Report Contrasts Energy Bottlenecks with Opportunities for AI and Data Center Growth

Artificial intelligence has, without question, crossed the threshold—from a speculative academic pursuit into the defining infrastructure of 21st-century commerce, governance, and innovation. What began in the realm of research labs and open-source models is now embedded in the capital stack of every major hyperscaler, semiconductor roadmap, and national industrial strategy. But as AI scales, so does its energy footprint. From Nvidia-powered GPU clusters to exascale training farms, the conversation across boardrooms and site selection teams has fundamentally shifted. It’s no longer just about compute density, thermal loads, or software frameworks. It’s about power—how to find it, finance it, future-proof it, and increasingly, how to generate it onsite. That refrain—“It’s all about power now”—has moved from a whisper to a full-throated consensus across the data center industry. The latest report from the International Energy Agency (IEA) gives this refrain global context and hard numbers, affirming what developers, utilities, and infrastructure operators have already sensed on the ground: the AI revolution will be throttled or propelled by the availability of scalable, sustainable, and dispatchable electricity. Why Energy Is the Real Bottleneck to Intelligence at Scale The major new IEA report puts it plainly: The transformative promise of AI will be throttled—or unleashed—by the world’s ability to deliver scalable, reliable, and sustainable electricity. The stakes are enormous. Countries that can supply the power AI craves will shape the future. Those that can’t may find themselves sidelined. Importantly, while AI poses clear challenges, the report emphasizes how it also offers solutions: from optimizing energy grids and reducing emissions in industrial sectors to enhancing energy security by supporting infrastructure defenses against cyberattacks. The report calls for immediate investments in both energy generation and grid capabilities, as well as stronger collaboration between the tech and energy sectors to avoid critical bottlenecks. The IEA advises that, for countries

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Colorado Eyes the AI Data Center Boom with Bold Incentive Push

Even as states work on legislation to limit data center development, it is clear that some locations are looking to get a bigger piece of the huge data center spending that the AI wave has created. It appears that politicians in Colorado took a look around and thought to themselves “Why is all that data center building going to Texas and Arizona? What’s wrong with the Rocky Mountain State?” Taking a page from the proven playbook that has gotten data centers built all over the country, Colorado is trying to jump on the financial incentives for data center development bandwagon. SB 24-085: A Statewide Strategy to Attract Data Center Investment Looking to significantly boost its appeal as a data center hub, Colorado is now considering Senate Bill 24-085, currently making its way through the state legislature. Sponsored by Senators Priola and Buckner and Representatives Parenti and Weinberg, this legislation promises substantial economic incentives in the form of state sales and use tax rebates for new data centers established within the state from fiscal year 2026 through 2033. Colorado hopes to position itself strategically to compete with neighboring states in attracting lucrative tech investments and high-skilled jobs. According to DataCenterMap.com, there are currently 53 data centers in the state, almost all located in the Denver area, but they are predominantly smaller facilities. In today’s era of massive AI-driven hyperscale expansion, Colorado is rarely mentioned in the same breath as major AI data center markets.  Some local communities have passed their own incentive packages, but SB 24-085 aims to offer a unified, statewide framework that can also help mitigate growing NIMBY (Not In My Backyard) sentiment around new developments. The Details: How SB 24-085 Works The bill, titled “Concerning a rebate of the state sales and use tax paid on new digital 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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