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Nvidia introduces ‘ridesharing for AI’ with DGX Cloud Lepton

The platform is currently in early access but already CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, Nscale, SoftBank, and Yotta have agreed to make “tens of thousands of GPUs” available for customers. Developers can utilize GPU compute capacity in specific regions for both on-demand and long-term computing, supporting strategic and sovereign AI operational requirements. Nvidia […]

The platform is currently in early access but already CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, Nscale, SoftBank, and Yotta have agreed to make “tens of thousands of GPUs” available for customers.

Developers can utilize GPU compute capacity in specific regions for both on-demand and long-term computing, supporting strategic and sovereign AI operational requirements. Nvidia expects leading cloud service providers and GPU marketplaces to also participate in the DGX Cloud Lepton marketplace.

The platform utilizes Nvidia AI software stack, including NIM and NeMo microservices, Nvidia Blueprints and Nvidia Cloud Functions, to accelerate and simplify the development and deployment of AI applications.

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Nvidia introduces ‘ridesharing for AI’ with DGX Cloud Lepton

The platform is currently in early access but already CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, Nscale, SoftBank, and Yotta have agreed to make “tens of thousands of GPUs” available for customers. Developers can utilize GPU compute capacity in specific regions for both on-demand and long-term computing, supporting strategic and

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Nvidia opens NVLink to competitive processors

Until now, NVLink has been limited to Nvidia GPUs and CPUs, but with NVLink Fusion, non-Nvidia semi-custom accelerators will be able to use it. Nvidia says there will be two configurations for NVLink Fusion: for connecting custom CPUs to Nvidia GPUs and for connecting Nvidia’s Grace and future CPUs to

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How AI changes your multicloud network architecture

As enterprises find ever more use cases for generative AI (genAI) and agentic AI, their ability to achieve optimal business outcomes from these use cases will depend on the strength of their hybrid multicloud networks. Typically, these workloads demand higher-bandwidth, low-latency connectivity for centralized application delivery (LLM development), and AI

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Decision on ‘off-the-shelf’ nuclear reactors due within weeks, says minister

A key decision paving the way for the rollout of smaller, and easier to build nuclear power plants is expected “within the next few weeks”, an energy minister has said amid concerns over delays. Lord Hunt of Kings Heath said he understood the “frustration” felt at the hold-ups faced by the small modular reactor (SMR) programme, but insisted an announcement would be made shortly. Great British Nuclear (GBN), the Government’s expert delivery body, is in the final stages of considering plans by four short-listed companies – GE Hitachi, Holtec, Rolls Royce SMR and Westinghouse. Earlier this year, Prime Minister Sir Keir Starmer pledged to put Britain back in the global race for nuclear energy, and to reform planning rules to make it easier to build SMRs in England and Wales. Unlike traditional nuclear plants that are built on site, the reactors are smaller and can be made in factories with “off-the-shelf” components – making construction faster and less expensive. They could also be built in more locations, including alongside energy-intensive industrial sites such as AI data centres. © Supplied by GE Hitachi Nuclear EA visualisation of the GE Hitachi BWRX-300 small modular nuclear reactor design. Nuclear power forms a vital part of the Government’s plans to secure the UK’s energy independence and hit the target of net-zero by 2050. Questioned at Westminster over when an announcement could be expected on awarding SMR contracts, Lord Hunt said: “Great British Nuclear is overseeing the small modular reactor competition for UK deployment. “Following a period of detailed negotiation, bidders have now submitted final tenders which Great British Nuclear is evaluating. “Final decisions will be taken shortly.” But he was pressed by Labour former minister Lord Spellar for a “clearer date” on when decisions would be taken, as he warned of “bureaucratic inertia, dither

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SSE starts construction on 208 MW Strathy South wind farm in Scotland

SSE has started construction on its £400 million Strathy South wind farm in the Scottish Highlands after securing a Contract for Difference (CfD) in 2023. SSE made a final investment decision on the 208 MW project in December last year, with early construction works now underway at the site near Sutherland. The 35-turbine project is adjacent to SSE’s already operational 67 MW Strathy North site. SSE secured a 15-year CfD contract for Strathy South in the UK government’s fifth allocation round (AR5), with the company aiming to commence operations in 2027. Once complete, Strathy South will have the capacity to power around 200,000 UK homes with renewable electricity. SSE Renewables managing director Stephen Wheeler said the start of construction on Strathy South demonstrates the firm’s commitment to the UK’s energy transition. “At SSE we’re working hard to play our part to support the UK government in the delivery of the country’s most ambitious reforms to the energy system in generations, as set out in the UK’s clean power 2030 action plan,” Wheeler said. © SYSTEMAchany wind farm in SutherlandSupplied by SSE Renewables “We’re committed to delivering the clean power projects the UK needs now, whether through the delivery of our Berwick Bank offshore wind project or through new onshore wind farms such as Strathy South. “Together, we can power change towards a new era of clean, homegrown energy.” Danish turbine manufacturer Vestas will supply, install and commission all 35 of the wind turbines for Strathy South, with the project expected to support 125 full-time jobs at peak construction. Strathy South demonstrates UK planning woes The start of work on Strathy South comes nearly 20-years after SSE first announced proposals to develop a 77-turbine wind farm in 2007. SSE later cut the number of turbines to 39 to limit its environmental

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UK offshore wind sector sets outs £25bn regional growth ambitions

The UK offshore wind industry has released a regional growth plan which its says could create an additional 10,000 jobs and provide a £25 billion boost to the UK economy. The Offshore Wind Industry Council (OWIC) and The Crown Estate (TCE) set out their ambitions for coastal regions in a plan setting out offshore wind clusters across the UK. OWIC said the cluster strategy builds on the sector’s industrial growth plan (IGP) released last year, which set out five key manufacturing and technology priorities. Alongside turbine towers, blades, foundations and cables, the IGP covered operations and maintenance and high-value services such as environmental surveying. Building on the IGP, OWIC and TCE set out seven offshore wind clusters across the UK and identified targeted areas for manufacturing and services. These include the Energi Coast Cluster in the north east of England, the Humber Offshore Wind Cluster, the Clean Energy Cluster in Scotland and the Offshore Energy Alliance in the north west of England and northern Wales. The cluster strategy sets out detailed analysis of each coastal region and identifies which areas are best placed for specific activities set out in the IGP, such as blade manufacturing. It also sets out where the UK can build on existing facilities and supply chains for export opportunities. Offshore wind manufacturing For example, OWIC said the Humber, north east of England, Northern Ireland and Scotland have opportunities to focus on advanced turbine technology including blades and turbine towers. This could add up to £8bn to the UK economy over the next ten years, OWIC said. Seven of the clusters are aiming to develop new capabilities in turbine foundations, including for floating wind, potentially adding up to £12bn between now and 2035. © Supplied by Associated British POffshore wind components at the Siemens Gamesa and ABP

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Eni in Talks to Sell 20 Percent of RE Unit to Ares

Eni SpA has signed a deal with Ares Alternative Credit Management to negotiate a potential divestment of 20 percent of its renewable energy (RE) arm to the investment fund. The potential sale places an equity value of EUR 9.8 billion ($11 billion) to EUR 10.2 billion on Eni Plenitude SpA Società Benefit, “corresponding to an enterprise value of more than EUR 12 billion”, Italian state-backed Eni said in a brief statement. “The agreement follows a thorough selection process involving several prominent international players who expressed strong interest in the company, further confirming the great appeal of its business model and its growth prospects”, added the statement on Eni’s website. Earlier Energy Infrastructure Partners (EIP) raised its stake in Plenitude to 10 percent by injecting EUR 209 million in additional capital. Including EUR 588 million paid March 2024, EIP has invested about EUR 800 million in Plenitude. “The transaction confirms a post-money equity value of Plenitude of around EUR 8 billion and an enterprise value of over EUR 10 billion”, Eni said in a press release April 11, 2025. EIP partner Tim Marahrens said, “Our increased commitment to Plenitude reflects our confidence in its unique integrated model, which combines renewable generation, retail energy solutions and e-mobility at scale”. “Over the past year, Plenitude has demonstrated its ability to exceed targets and capitalize on the accelerating energy transition”, Marahrens added. Plenitude’s installed generation capacity from renewable sources rose to four gigawatts (GW) last year. Plenitude plans to reach 10 GW of renewable capacity by 2028. Currently it is active in over 15 countries. It counts more than 10 million retail customers, as well as over 21,000 electric vehicle charging points, according to Eni. Recently KKR & Co. Inc. completed the purchase of a 25 percent stake in another Eni company, biofuels developer Enilive. That is to be

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Equinor to resume construction on US Empire Wind project

Norwegian firm Equinor will resume construction on its 810 MW Empire Wind project after the US government lifted a stop work order. The administration of US President Donald Trump halted work on the $5 billion Empire Wind project last month, sending shockwaves through the industry. Located around 15 miles off the coast of Long Island in New York, Equinor had initially developed the project alongside fellow North Sea operator BP after securing a lease in 2017. The two firms parted ways in 2024, with Equinor taking full control of Empire Wind and BP taking full control of Beacon Wind, another joint venture project in the US. Equinor received approval from the previous administration under President Joe Biden in 2024, and the project was already 30% complete when construction was halted. Now, after flagging the possibility of legal action against the Trump administration, Equinor will be able to resume work on Empire Wind. Equinor chief executive Anders Opedal thanked President Trump in a statement for “finding a solution that saves thousands of American jobs”. © Supplied by Empire WindProposed vision for the South Brooklyn Marine Terminal connected to Equinor’s Empire Wind project in New York. He also thanked New York governor Kathy Hochul for collaborating with the US federal government. Equinor Wind US president Molly Morris said the project “delivers on the energy ambitions” of the US and New York. “Empire Wind brings supply chain investments in states across the nation including New York, Louisiana, Pennsylvania, Texas and South Carolina,” Morris said. Equinor said it will now perform an “updated assessment” of the project economics in the second quarter of this year. The company said it aims to execute planned activities in the summer offshore installation window this year, and begin commercial operations in 2027.

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Taiwan Seeks LNG Cargoes after Shutting Last Nuclear Reactor

Taiwan is seeking liquefied natural gas shipments following the shutdown of its last nuclear reactor, a move that will increase the island’s reliance on the seaborne fuel. CPC Corp. is looking for three cargoes for August and September delivery, according to traders with knowledge of the matter. The tender comes after the island closed its last nuclear reactor on Saturday due to the expiration of its 40-year operating license. The state-owned oil and gas company also purchased at least one LNG shipment for June to July delivery this month, according to traders. The 30-day moving average for Taiwan’s LNG imports is at a record for this time of the year, when the island typically imports more fuel to meet its energy needs. The closure of Taiwan’s second-to-last nuclear reactor last July increased procurements.  The final nuclear shutdown will further expose the island, which is home to some of the world’s top chipmakers, to LNG price fluctuations, according to Aniket Autade, a senior analyst from Rystad Energy. “Stable power supply is crucial for industrial hubs and high-end manufacturing facilities, including the semiconductor sector that is strategic to Taiwan’s economic and geopolitical interest,” he said. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed. MORE FROM THIS AUTHOR Bloomberg

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Tariff uncertainty weighs on networking vendors

“Our guide assumes current tariffs and exemptions remain in place through the quarter. These include the following: China at 30%, partially offset by an exemption for semiconductors and certain electronic components; Mexico and Canada at 25% for the components and products that are not eligible for the current exemptions,” Cisco CFO Scott Herron told Wall Street analysts in the company’s quarterly earnings report on May 14. At this time, Cisco expects little impact from tariffs on steel and aluminum and retaliatory tariffs, Herron said. “We’ll continue to leverage our world-class supply chain team to help mitigate the impact,” he said, adding that “the flexibility and agility we have built into our operations over the last few years, the size and scale of our supply chain, provides us some unique advantages as we support our customers globally.” “Once the tariff scenario stabilizes, there [are] steps that we can take to mitigate it, as you’ve seen us do with China from the first Trump administration. And only after that would we consider price [increases],” Herron said. Similarly, Extreme Networks noted the changing tariff conditions during its earnings call on April 30. “The tariff situation is very dynamic, I think, as everybody knows and can appreciate, and it’s kind of hard to call. Yes, there was concern initially given the magnitude of tariffs,” said Extreme Networks CEO Ed Meyercord on the earnings call. “The larger question is, will all of the changes globally in trade and tariff policy have an impact on demand? And that’s hard to call at this point. And we’re going to hold as far as providing guidance or judgment on that until we have finality come July.” Financial news Meanwhile, AI is fueling high expectations and influencing investments in enterprise campus and data center environments.

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Liquid cooling becoming essential as AI servers proliferate

“Facility water loops sometimes have good water quality, sometimes bad,” says My Troung, CTO at ZutaCore, a liquid cooling company. “Sometimes you have organics you don’t want to have inside the technical loop.” So there’s one set of pipes that goes around the data center, collecting the heat from the server racks, and another set of smaller pipes that lives inside individual racks or servers. “That inner loop is some sort of technical fluid, and the two loops exchange heat across a heat exchanger,” says Troung. The most common approach today, he says, is to use a single-phase liquid — one that stays in liquid form and never evaporates into a gas — such as water or propylene glycol. But it’s not the most efficient option. Evaporation is a great way to dissipate heat. That’s what our bodies do when we sweat. When water goes from a liquid to a gas it’s called a phase change, and it uses up energy and makes everything around it slightly cooler. Of course, few servers run hot enough to boil water — but they can boil other liquids. “Two phase is the most efficient cooling technology,” says Xianming (Simon) Dai, a professor at University of Texas at Dallas. And it might be here sooner than you think. In a keynote address in March at Nvidia GTC, Nvidia CEO Jensen Huang unveiled the Rubin Ultra NVL576, due in the second half of 2027 — with 600 kilowatts per rack. “With the 600 kilowatt racks that Nvidia is announcing, the industry will have to shift very soon from single-phase approaches to two-phase,” says ZutaCore’s Troung. Another highly-efficient cooling approach is immersion cooling. According to a Castrol survey released in March, 90% of 600 data center industry leaders say that they are considering switching to immersion

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Cisco taps OpenAI’s Codex for AI-driven network coding

“If you want to ask Codex a question about your codebase, click “Ask”. Each task is processed independently in a separate, isolated environment preloaded with your codebase. Codex can read and edit files, as well as run commands including test harnesses, linters, and type checkers. Task completion typically takes between 1 and 30 minutes, depending on complexity, and you can monitor Codex’s progress in real time,” according to OpenAI. “Once Codex completes a task, it commits its changes in its environment. Codex provides verifiable evidence of its actions through citations of terminal logs and test outputs, allowing you to trace each step taken during task completion,” OpenAI wrote. “You can then review the results, request further revisions, open a GitHub pull request, or directly integrate the changes into your local environment. In the product, you can configure the Codex environment to match your real development environment as closely as possible.” OpenAI is releasing Codex as a research preview: “We prioritized security and transparency when designing Codex so users can verify its outputs – a safeguard that grows increasingly more important as AI models handle more complex coding tasks independently and safety considerations evolve. Users can check Codex’s work through citations, terminal logs and test results,” OpenAI wrote.  Internally, technical teams at OpenAI have started using Codex. “It is most often used by OpenAI engineers to offload repetitive, well-scoped tasks, like refactoring, renaming, and writing tests, that would otherwise break focus. It’s equally useful for scaffolding new features, wiring components, fixing bugs, and drafting documentation,” OpenAI stated. Cisco’s view of agentic AI Patel stated that Codex is part of the developing AI agent world, where Cisco envisions billions of AI agents will work together to transform and redefine the architectural assumptions the industry has relied on. Agents will communicate within and

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US companies are helping Saudi Arabia to build an AI powerhouse

AMD announced a five-year, $10 billion collaboration with Humain to deploy up to 500 megawatts of AI compute in Saudi Arabia and the US, aiming to deploy “multi-exaflop capacity by early 2026.” AWS, too, is expanding its data centers in Saudi Arabia to bolster Humain’s cloud infrastructure. Saudi Arabia has abundant oil and gas to power those data centers, and is growing its renewable energy resources with the goal of supplying 50% of the country’s power by 2030. “Commercial electricity rates, nearly 50% lower than in the US, offer potential cost savings for AI model training, though high local hosting costs due to land, talent, and infrastructure limit total savings,” said Eric Samuel, Associate Director at IDC. Located near Middle Eastern population centers and fiber optic cables to Asia, these data centers will offer enterprises low-latency cloud computing for real-time AI applications. Late is great There’s an advantage to being a relative latecomer to the technology industry, said Eric Samuel, associate director, research at IDC. “Saudi Arabia’s greenfield tech landscape offers a unique opportunity for rapid, ground-up AI integration, unburdened by legacy systems,” he said.

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AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers

Humain will deploy the Nvidia Omniverse platform as a multi-tenant system to drive acceleration of the new era of physical AI and robotics through simulation, optimization and operation of physical environments by new human-AI-led solutions. The AMD deal did not discuss the number of chips involved in the deal, but it is valued at $10 billion. AMD and Humain plan to develop a comprehensive AI infrastructure through a network of AMD-based AI data centers that will extend from Saudi Arabia to the US and support a wide range of AI workloads across corporate, start-up, and government markets. Think of it as AWS but only offering AI as a service. AMD will provide its AI compute portfolio – Epyc, Instinct, and FPGA networking — and the AMD ROCm open software ecosystem, while Humain will manage the delivery of the hyperscale data center, sustainable power systems, and global fiber interconnects. The partners expect to activate a multi-exaflop network by early 2026, supported by next-generation AI silicon, modular data center zones, and a software platform stack focused on developer enablement, open standards, and interoperability. Amazon Web Services also got a piece of the action, announcing a more than $5 billion investment to build an “AI zone” in the Kingdom. The zone is the first of its kind and will bring together multiple capabilities, including dedicated AWS AI infrastructure and servers, UltraCluster networks for faster AI training and inference, AWS services like SageMaker and Bedrock, and AI application services such as Amazon Q. Like the AMD project, the zone will be available in 2026. Humain only emerged this month, so little is known about it. But given that it is backed by Crown Prince Salman and has the full weight of the Kingdom’s Public Investment Fund (PIF), which ranks among the world’s largest and

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Check Point CISO: Network segregation can prevent blackouts, disruptions

Fischbein agrees 100% with his colleague’s analysis and adds that education and training can help prevent such incidents from occurring. “Simulating such a blackout is impossible, it has never been done,” he acknowledges, but he is committed to strengthening personal and team training and risk awareness. Increased defense and cybersecurity budgets In 2025, industry watchers expect there will be an increase in the public budget allocated to defense. In Spain, one-third of the budget will be allocated to increasing cybersecurity. But for Fischbein, training teams is much more important than the budget. “The challenge is to distribute the budget in a way that can be managed,” he notes, and to leverage intuitive and easy-to-use platforms, so that organizations don’t have to invest all the money in training. “When you have information, management, users, devices, mobiles, data centers, clouds, cameras, printers… the security challenge is very complex. You have to look for a security platform that makes things easier, faster, and simpler,” he says. ” Today there are excellent tools that can stop all kinds of attacks.” “Since 2010, there have been cybersecurity systems, also from Check Point, that help prevent this type of incident from happening, but I’m not sure that [Spain’s electricity blackout] was a cyberattack.” Leading the way in email security According to Gartner’s Magic Quadrant, Check Point is the leader in email security platforms. Today email is still responsible for 88% of all malicious file distributions. Attacks that, as Fischbein explains, enter through phishing, spam, SMS, or QR codes. “There are two challenges: to stop the threats and not to disturb, because if the security tool is a nuisance it causes more harm than good. It is very important that the solution does not annoy [users],” he stresses. “As almost all attacks enter via e-mail, it is

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

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

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

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

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2025 playbook for enterprise AI success, from agents to evals

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

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

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

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