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Aramco CEO Sees ‘Good’ China Oil Demand Driving Growth

China is still driving growth in global oil demand, the head of Saudi Aramco said, dismissing concerns about peaking consumption in the world’s biggest energy user.  “We still see good demand coming out of China,” Aramco’s Chief Executive Officer Amin Nasser said in a Bloomberg television interview in Davos. The country, along with India, make […]

China is still driving growth in global oil demand, the head of Saudi Aramco said, dismissing concerns about peaking consumption in the world’s biggest energy user. 

“We still see good demand coming out of China,” Aramco’s Chief Executive Officer Amin Nasser said in a Bloomberg television interview in Davos. The country, along with India, make up about 40% of the rise in global consumption and, “demand is increasing year on year.”

Aramco has long been positive about demand in China, its largest market and a target for major investments, even as the Asian nation was sluggish to recover from the coronavirus pandemic. Nasser’s said back in October that he was bullish on China after a series of government stimulus measures aimed at reviving the economy.

The optimism contrasts with signals of a slowdown, with even the country’s largest energy producer, China National Petroleum Corp., predicting oil demand may cease growing after 2025 as a shift toward electric vehicles gathers pace. Nasser said that while the EV push will erode gasoline demand, the country’s appetite for chemicals produced from oil will keep expanding.

“Even with the transition and going to electric vehicles, you need oil as a feedstock to produce the materials that would be required for any transition,” Nasser said. “The growth is still there.”

Aramco has invested in several refineries in China that can churn out more chemical products and less transport fuel. The company aims to take stakes 10%-20% in such projects while securing contracts to supply about 60% of the facility’s oil needs, thereby locking in long-term demand, Nasser said.

Oil Slowdown

Last year, Asia’s biggest economy increased oil use by just 180,000 barrels a day — less than a fifth of the rise seen in 2023 — as it grappled with an array of economic challenges, according to the International Energy Agency. Growth will pick up marginally to 220,000 barrels a day in 2025, the Paris-based IEA predicts, while remaining capped by signs of a deepening deflationary spiral.

The Chinese weakness was partly responsible for the 3% decline in oil prices last year, outweighing geopolitical risks in the Middle East. Crude in London has increased 6% this month following aggressive US sanctions on Russia.

Those restrictions are already starting to tighten the oil market, Nasser said. But it’s too early to see if the prospect of sanctions obstructing the flow of some 2 million barrels of daily Russian seaborne crude will have a lasting impact, he said.

Nasser expects global oil demand to rise by about 1.3 million barrels a day this year to 106 million a day. That’s slightly higher than the 1.05 million barrel-a-day growth forecast by the International Energy Agency.



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NRF 2026: HPE expands network, server products for retailers

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Italy fines Cloudflare for refusing to block pirate sites

Italy’s communications authority AGCOM has fined Cloudflare €14.2 million for refusing to block pirate sites via its public DNS service 1.1.1.1, in accordance with the country’s controversial Piracy Shield law, reports Ars Technica. The law, which was introduced in 2024, requires network operators and DNS services to block websites and

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Global tech-sector layoffs surpass 244,000 in 2025

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What enterprises think about quantum computing

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Strategists Forecast 5MM Barrel WoW USA Crude Inventory Build

In an oil and gas report sent to Rigzone late Monday by the Macquarie team, Macquarie strategists, including Walt Chancellor, revealed that they are forecasting that U.S. crude inventories will be up by 5.0 million barrels for the week ending January 9. “This follows a 3.8 million barrel draw in the prior week, with the crude balance realizing relatively close to our expectations,” the strategists said in the report. “For the week ending 1/9, from refineries, we look for a modest reduction in crude runs (-0.1 million barrels per day). Among net imports, we model a healthy increase, with exports sharply lower (-0.9 million barrels per day) and imports up slightly (+0.1 million barrels per day) on a nominal basis,” they added. The strategists stated in the report that timing of cargoes remains a source of potential volatility in the weekly crude balance. They also noted in the report that they “see some lingering potential for noise from year-end effects”. “From implied domestic supply (prod.+adj.+transfers), we look for a small nominal increase (+0.1 million barrels per day),” the Macquarie strategists went on to note. “Rounding out the picture, we anticipate another small increase (+0.2 million barrels) in SPR [Strategic Petroleum Reserve] stocks for the week ending 1/9,” they said. The Macquarie strategists also highlighted in the report that, “among products”, they “again look for another large build led by gasoline (+7.1 million barrels), with distillate (+2.4 million barrels) and jet stocks (+0.7 million barrels) also higher”. “We model implied demand for these three products at ~13.6 million barrels per day for the week ending January 9,” the strategists went on to state. In its latest weekly petroleum status report at the time of writing, which was released on January 7 and included data for the week ending January 2, the

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Trading Giants Seek Big Asia Buyers for Venezuelan Oil

Vitol Group and Trafigura Group are in talks with large Indian and Chinese refiners over potential sales of Venezuelan crude, days after they obtained a preliminary green light from the US to market the oil. The traders contacted leading Asian buyers over the weekend, according to people familiar with the matter, who asked not to be identified because they are not authorized to speak publicly. Conversations are at an early stage and no formal offers have been made, they added. Indicative price levels for the touted Venezuelan volumes, for arrival to Asia in March, were pegged at about an $8 a barrel discount to the Brent benchmark, said traders in the spot market who track regional crude flows. The global oil market is on alert for a redirection of exports from Venezuela following the US intervention earlier this month, when forces seized leader Nicolás Maduro and President Donald Trump asserted control over the nation’s energy industry. The country has the world’s largest proven crude reserves. The two trading houses, among the world’s largest, are also in talks with US refiners to gauge interest. Vitol and Trafigura declined to comment. Asia has been a vital market for Venezuela’s Merey crude through years of US sanctions and restrictions. China took the lion’s share, usually sold at a discount. After Washington’s move, Energy Secretary Chris Wright told Fox News that the US would not cut the country off from accessing Venezuelan oil. India’s Reliance Industries Ltd., meanwhile, has taken cargoes after securing a waiver, only to pause purchases last year when US President Donald Trump announced a 25 percent tariff on nations buying from the Latin American producer. Processors in India and China are now eager to explore renewed access to Venezuelan crude, potentially another source of supply in an already plentiful market. State-owned

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Uniper Places Long-Term Order for Indian Green Ammonia

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Scarborough FPU Arrives in Australia

Woodside Energy Group Ltd said Tuesday the Scarborough Energy Project’s floating production unit (FPU) had arrived at the project site offshore Western Australia. The project includes the development of the Scarborough gas field off the coast of Karratha, the construction of a second gas processing train for Pluto LNG with a capacity of five MMtpa and modifications to Pluto Train 1, according to Woodside. The FPU, built in China by Houston, Texas-headquartered McDermott International Ltd, will process gas from the field. Excluding train 1 modifications, Scarborough Energy was 91 percent complete at the end of the third quarter, according to Woodside’s quarterly report October 22, 2025. “Our focus now shifts to the hook-up and commissioning phase in preparation for production, and ultimately, first LNG cargo which is on track for the second half of this year”, Woodside acting chief executive Liz Westcott said in a statement on the company’s website Tuesday. Woodside called the FPU “one of the largest semisubmersible facilities ever constructed”. The vessel totals about 70,000 metric tons, according to Woodside. “It features advanced emissions-reduction systems and is designed to treat and compress gas for export through the trunkline”, the statement said. “It can also accommodate future tie-ins to support the development of nearby fields”. The Perth-based company expects the project to produce up to eight million metric tons a year of liquefied natural gas and supply 225 terajoules per day to the Western Australian market. Court Clearance Last year Australia’s Federal Court upheld regulatory approval of the environmental plan (EP) for Scarborough Energy, in a challenge put up by Doctors for the Environment (Australia) Inc (DEA). In a statement August 22, 2025, about the court win, Woodside noted the EP, approved by the National Offshore Petroleum Safety and Environmental Management Authority (NOPSEMA) in February 2025, represented the last

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Oil Jumps as Iran Tensions Escalate

Oil rose to the highest level since early December as unrest in Iran raises the specter of supply disruptions from OPEC’s fourth-biggest producer, with the Wall Street Journal reporting that President Donald Trump is leaning toward striking the country. West Texas Intermediate settled above $59 a barrel on Monday after jumping more than 6% over the past three sessions. Trump said Tehran had offered to enter negotiations with Washington over its yearslong nuclear program. But he is leaning toward authorizing military strikes against the Middle Eastern country over its treatment of protesters, the newspaper said, citing US officials familiar with the matter. Fresh political or military unrest in Iran could threaten disruption to the country’s roughly 3.3 million barrels-per-day oil production. Iran’s foreign minister repeated government claims that rioters and terrorists killed police and civilians, while footage was broadcast on state TV saying calm had been restored nationwide. “Traders must now balance odds of a smooth transition to regime change, odds of a messy transition potentially impacting oil production and exports, odds of a military confrontation or miscalculation, and odds the regime change may pivot towards a deal on US terms, which would bear the most negative implications for energy markets,” said Dan Ghali, a commodity strategist at TD Securities. The possibility of a disruption to Iran’s daily exports has tempered concerns over a global glut that caused a slump in prices and made investors increasingly bearish. The scale of risk has shown up clearest in options markets, where the skew toward bullish calls is the biggest for US crude futures since June and volatility is surging. The two weeks of protests in the country are the most significant challenge to Supreme Leader Ayatollah Ali Khamenei since a nationwide uprising in 2022. It follows a surge in oil prices during

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Democrats Put Alaska Senate Seat in Play

Former Alaska Representative Mary Peltola launched a campaign Monday to challenge Republican Dan Sullivan for one of Alaska’s Senate seats, putting the race in play for Democrats in November’s midterms.  “Systemic change is the only way to bring down grocery costs, save our fisheries, lower energy prices and build new housing Alaskans can afford,” Peltola said in a video announcing her candidacy. “No one from the Lower 48 is coming to save us, but I know this in my bones, there is no group of people more ready to save ourselves than Alaskans.”  Peltola held Alaska’s sole House seat until narrowly losing to a Republican in 2024. Democrats for months tried to recruit Peltola, who was also considering a bid for governor.  While President Donald Trump won Alaska by 13 points in 2024, the state’s down-ballot politics are often more issue-based than ideological. Peltola, an Alaskan Native, ran her previous campaigns on “fish, family and freedom” as a way to frame positions on issues like health care, taxes and abortion that are in line with the Democratic mainstream — as well as support for oil drilling and gun ownership that can be at odds with the rest of her party.  Early polling shows Sullivan vulnerable to a Peltola challenge, and Republicans across the country are preparing for midterms that have historically been difficult for the party in power. Democrats need to net four seats to take back the Senate majority.  Alaskans who get health insurance through the Affordable Care Act face some of the highest premiums in America after this month’s expiration of Biden-era subsidies. Sullivan, who had previously sought to repeal the ACA, voted last month to start debate on a Democratic proposal to extend expanded ACA subsidies for three years. The state, which already faces high prices for

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AI, edge, and security: Shaping the need for modern infrastructure management

The rapidly evolving IT landscape, driven by artificial intelligence (AI), edge computing, and rising security threats, presents unprecedented challenges in managing compute infrastructure. Traditional management tools struggle to provide the necessary scalability, visibility, and automation to keep up with business demand, leading to inefficiencies and increased business risk. Yet organizations need their IT departments to be strategic business partners that enable innovation and drive growth. To realize that goal, IT leaders should rethink the status quo and free up their teams’ time by adopting a unified approach to managing infrastructure that supports both traditional and AI workloads. It’s a strategy that enables companies to simplify IT operations and improve IT job satisfaction. 5 IT management challenges of the AI era Cisco recently commissioned Forrester Consulting to conduct a Total Economic Impact™ analysis of Cisco Intersight. This IT operations platform provides visibility, control, and automation capabilities for the Cisco Unified Computing System (Cisco UCS), including Cisco converged, hyperconverged, and AI-ready infrastructure solutions across data centers, colocation facilities, and edge environments. Intersight uses a unified policy-driven approach to infrastructure management and integrates with leading operating systems, storage providers, hypervisors, and third-party IT service management and security tools. The Forrester study first uncovered the issues IT groups are facing: Difficulty scaling: Manual, repetitive processes cause lengthy IT compute infrastructure build and deployment times. This challenge is particularly acute for organizations that need to evolve infrastructure to support traditional and AI workloads across data centers and distributed edge environments. Architectural specialization and AI workloads: AI is altering infrastructure requirements, Forrester found.  Companies design systems to support specific AI workloads — such as data preparation, model training, and inferencing — and each demands specialized compute, storage, and networking capabilities. Some require custom chip sets and purpose-built infrastructure, such as for edge computing and low-latency applications.

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DCF Poll: Analyzing AI Data Center Growth

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JLL’s 2026 Global Data Center Outlook: Navigating the AI Supercycle, Power Scarcity and Structural Market Transformation

Sovereign AI and National Infrastructure Policy JLL frames artificial intelligence infrastructure as an emerging national strategic asset, with sovereign AI initiatives representing an estimated $8 billion in cumulative capital expenditure by 2030. While modest relative to hyperscale investment totals, this segment carries outsized strategic importance. Data localization mandates, evolving AI regulation, and national security considerations are increasingly driving governments to prioritize domestic compute capacity, often with pricing premiums reaching as high as 60%. Examples cited across Europe, the Middle East, North America, and Asia underscore a consistent pattern: digital sovereignty is no longer an abstract policy goal, but a concrete driver of data center siting, ownership structures, and financing models. In practice, sovereign AI initiatives are accelerating demand for locally controlled infrastructure, influencing where capital is deployed and how assets are underwritten. For developers and investors, this shift introduces a distinct set of considerations. Sovereign projects tend to favor jurisdictional alignment, long-term tenancy, and enhanced security requirements, while also benefiting from regulatory tailwinds and, in some cases, direct state involvement. As AI capabilities become more tightly linked to economic competitiveness and national resilience, policy-driven demand is likely to remain a durable (if specialized) component of global data center growth. Energy and Sustainability as the Central Constraint Energy availability emerges as the report’s dominant structural constraint. In many major markets, average grid interconnection timelines now extend beyond four years, effectively decoupling data center development schedules from traditional utility planning cycles. As a result, operators are increasingly pursuing alternative energy strategies to maintain project momentum, including: Behind-the-meter generation Expanded use of natural gas, particularly in the United States Private-wire renewable energy projects Battery energy storage systems (BESS) JLL points to declining battery costs, seen falling below $90 per kilowatt-hour in select deployments, as a meaningful enabler of grid flexibility, renewable firming, and

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SoftBank, DigitalBridge, and Stargate: The Next Phase of OpenAI’s Infrastructure Strategy

OpenAI framed Stargate as an AI infrastructure platform; a mechanism to secure long-duration, frontier-scale compute across both training and inference by coordinating capital, land, power, and supply chain with major partners. When OpenAI announced Stargate in January 2025, the headline commitment was explicit: an intention to invest up to $500 billion over four to five years to build new AI infrastructure in the U.S., with $100 billion targeted for near-term deployment. The strategic backdrop in 2025 was straightforward. OpenAI’s model roadmap—larger models, more agents, expanded multimodality, and rising enterprise workloads—was driving a compute curve increasingly difficult to satisfy through conventional cloud procurement alone. Stargate emerged as a form of “control plane” for: Capacity ownership and priority access, rather than simply renting GPUs. Power-first site selection, encompassing grid interconnects, generation, water access, and permitting. A broader partner ecosystem beyond Microsoft, while still maintaining a working relationship with Microsoft for cloud capacity where appropriate. 2025 Progress: From Launch to Portfolio Buildout January 2025: Stargate Launches as a National-Scale Initiative OpenAI publicly launched Project Stargate on Jan. 21, 2025, positioning it as a national-scale AI infrastructure initiative. At this early stage, the work was less about construction and more about establishing governance, aligning partners, and shaping a public narrative in which compute was framed as “industrial policy meets real estate meets energy,” rather than simply an exercise in buying more GPUs. July 2025: Oracle Partnership Anchors a 4.5-GW Capacity Step On July 22, 2025, OpenAI announced that Stargate had advanced through a partnership with Oracle to develop 4.5 gigawatts of additional U.S. data center capacity. The scale of the commitment marked a clear transition from conceptual ambition to site- and megawatt-level planning. A figure of this magnitude reshaped the narrative. At 4.5 GW, Stargate forced alignment across transformers, transmission upgrades, switchgear, long-lead cooling

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Lenovo unveils purpose-built AI inferencing servers

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Samsung warns of memory shortages driving industry-wide price surge in 2026

SK Hynix reported during its October earnings call that its HBM, DRAM, and NAND capacity is “essentially sold out” for 2026, while Micron recently exited the consumer memory market entirely to focus on enterprise and AI customers. Enterprise hardware costs surge The supply constraints have translated directly into sharp price increases across enterprise hardware. Samsung raised prices for 32GB DDR5 modules to $239 from $149 in September, a 60% increase, while contract pricing for DDR5 has surged more than 100%, reaching $19.50 per unit compared to around $7 earlier in 2025. DRAM prices have already risen approximately 50% year to date and are expected to climb another 30% in Q4 2025, followed by an additional 20% in early 2026, according to Counterpoint Research. The firm projected that DDR5 64GB RDIMM modules, widely used in enterprise data centers, could cost twice as much by the end of 2026 as they did in early 2025. Gartner forecast DRAM prices to increase by 47% in 2026 due to significant undersupply in both traditional and legacy DRAM markets, Chauhan said. Procurement leverage shifts to hyperscalers The pricing pressures and supply constraints are reshaping the power dynamics in enterprise procurement. For enterprise procurement, supplier size no longer guarantees stability. “As supply becomes more contested in 2026, procurement leverage will hinge less on volume and more on strategic alignment,” Rawat said. Hyperscale cloud providers secure supply through long-term commitments, capacity reservations, and direct fab investments, obtaining lower costs and assured availability. Mid-market firms rely on shorter contracts and spot sourcing, competing for residual capacity after large buyers claim priority supply.

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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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