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Venture Global Slashes IPO Price Range by More Than 40 Pct

Venture Global Inc. slashed the marketed range for its initial public offering, lowering the market value it could fetch. The liquefied natural gas exporter is marketing 70 million shares in the offering for $23 to $27 each, a more than 40% drop from the $40 to $46 per share range it had targeted earlier, according to an […]

Venture Global Inc. slashed the marketed range for its initial public offering, lowering the market value it could fetch.

The liquefied natural gas exporter is marketing 70 million shares in the offering for $23 to $27 each, a more than 40% drop from the $40 to $46 per share range it had targeted earlier, according to an earlier filing with the US Securities and Exchange Commission. 

At the top of the new range, the company would now have a market value of about $65 billion, down from the $110 billion mark at the top of the previous range, based on the outstanding shares. 

Investors approached during the marketing of the deal wanted a lower valuation range, according to people familiar with the matter, who asked not to be identified as the information isn’t public. A representative for Venture Global didn’t immediately respond to requests for comment.

The lower pricing would come as a setback for potential IPO candidates in the US energy sector, which have been looking to Venture Global’s offering to help revive sentiment around first-time share sales in the sector. Just six energy IPOs priced on US exchanges in 2024, raising $667 million to mark the lowest volume for the sector in 21 years, data compiled by Bloomberg show.

Still, Venture Global is targeting a lofty valuation relative to competitors. Cheniere Energy Inc., the largest LNG exporter in the US, has a market value of $56 billion after jumping more than 50% over the past year.

Venture Global, founded outside of Washington, DC, was viewed as a startup compared to the established energy companies and climbed to quickly build two export facilities in Louisiana. 

The company is locked in arbitration battles with some of the world’s biggest energy players, which are also its customers. BP Plc and Shell Plc are in a dispute with Venture Global over its first plant, Calcasieu Pass, due to a prolonged start to their contracts almost three years since the facility first began loading cargoes.

Venture Global had net income of $756 million in the nine months ended Sept. 30 on revenue of $3.4 billion, versus net income of $3.6 billion on revenue of $6.3 billion in the same period in 2023, according to the filing.

LNG is expected to play an increasingly central role in global energy markets in the years ahead, as nations seek a cleaner-burning alternative to oil and coal. The US’s position as the world’s largest supplier of the fuel is poised to grow even stronger, as Donald Trump’s return to the White House was accompanied by a sweeping overhaul of US energy policy to return the emphasis to fossil-fuel production.



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North America rig numbers dip

Total drilling activity in North America decreased slightly the week ended Nov. 6 with a total of 827 rigs working, reported Baker Hughes. A 1-rig increase in the US helped offset a 3-rig loss in Canada. The total North American rig count is down 2 units from this time last

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Every virtual megawatt needs a meter

Last month, Google announced a deal with Voltus for a virtual power plant (VPP) of up to 1,070 MW in PJM, roughly the output of a large nuclear reactor. Rather than build a plant, Voltus will offer homes and businesses financial incentives to trim usage when the grid is strained, through smart thermostats, batteries and flexible equipment. The deal represents an inflection point for the power and utilities sector, where “speed to power” innovations are defining the moment. It also underscores the importance of the equipment that will decide how far such programs go: the electric meter. Capacity you find instead of build NEMA’s 2026 Grid Reliability Study projects U.S. economy-wide electricity demand as much as 55% by 2050, with data center consumption alone growing 300% over the next decade. New generation and transmission can’t keep pace, as permitting, capital needs and equipment and skilled labor backlogs protracting project delivery timelines. As a result, operators are looking for capacity in the system they already have. On the transmission side, grid-enhancing technologies show what’s possible: PJM modeling finds they could unlock between six and seven GW of usable capacity. At the grid edge, the opportunity may be larger. Demand response contributed 33.3 GW of enrolled wholesale capacity in 2024, about 6.5% of peak demand in organized markets and could reach 20% of U.S. peak by 2030. Behind-the-meter resources, which include microgrids and aggregations of customer-sited resources (i.e., VPPs), are scaling too. What these grid-edge resources share is a need for measurement. A demand response event or VPP dispatch only has value if someone can prove the load dropped and pay the customer who dropped it. That job falls to the electric meter. Barriers to scale Despite the momentum, only 6.5% of U.S. electricity customers are enrolled in retail demand response programs.

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The next wave of energy storage capacity is already on the grid

Next week, much of the industry will gather in Las Vegas for RE+ to talk about what gets built next. It’s an important conversation, but I’d encourage asset owners to bring a second question with them: what more can we get from what’s already been built? This question matters more than ever as electricity demand climbs and customers feel it on their monthly bill. EIA expects consumption to grow another 3.1% in 2027, driven largely by data centers and other commercial loads, while residential customers will pay nearly 5% more for power this year. The industry is working hard to add capacity, but getting it built takes time. According to Lawrence Berkeley National Laboratory and GridTracker, the median project built in 2025 spent more than five years moving from interconnection request to commercial operation and only 13% of the capacity that requested interconnection between 2000 and 2020 had come online by the end of 2025. New generation is essential, but the fleet already operating is an opportunity we can’t afford to pass up. With nearly 52 gigawatts (GW) of utility-scale battery storage operating in the U.S. as of mid-2026, the installed base is too large to overlook and performance across it varies widely. When a battery energy storage system (BESS) falls short, the instinct is often to blame the battery and reach for augmentation or replacement, but in many cases the bottleneck is the controls, software and integration around it. Operating assets are under more pressure Higher prices should raise the value of delivering power when and where the grid needs it, yet revenues for many operating assets are moving in the other direction. In ERCOT, the average battery earned 84% less in 2025 than at its 2023 peak, as more storage competed for the same services. With incentive economics

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Beyond megawatts: Nuclear’s other capacity expansion challenge

Nuclear growth plans are accelerating as data centers, large-load customers, uprates, restarts, extended operations and new generation projects reshape the industry’s outlook. But the challenge of capacity expansion extends far beyond megawatts. Every utility must also expand the capacity of its workforce.  The workforce challenge is not simply about hiring more people. Recruiting is critical, but so are retention strategies, qualification timelines, knowledge transfer processes and the availability of experienced employees and contractors. Utilities must continue operating existing plants safely and reliably while extending asset life, modernizing infrastructure, preparing for growth and developing the next generation of workers. In many cases, the same people are asked to do all of it.  An experienced engineer supporting an uprate may also be needed for aging management reviews. The supervisor helping qualify new employees may also be responsible for outage preparation. The skilled craft resources needed for capital projects are often the same resources supporting ongoing plant reliability and maintenance activities. To execute an ambitious growth plan, your workforce needs support and clear expectations as it navigates the demands of the present and the future.  That reality makes employee engagement and retention critical operational necessities.  Keeping today’s fleet running while preparing for tomorrow’s expansion  Across the industry, organizations are managing a growing list of demands. Employees are operating plants, supporting outages, resolving equipment issues, onboarding new hires, transferring knowledge, implementing modernization efforts and preparing for future growth. Subsequent license renewal and long-term operations programs add further demands through inspections, evaluations, documentation and equipment replacement activities.  At the same time, many organizations continue to face shortages in experienced operators, engineers, technicians and other critical roles. Long qualification timelines and retirements only increase the pressure.  Growth introduces another challenge that is less visible but equally important: cognitive load. Experienced employees must continually sort through competing

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Behind-the-meter power: An effective tool for bringing large utility customers online faster

Data centers and AI infrastructure are intensifying the strain on existing power grids across the U.S. Large-load facilities are built quickly, only to face years-long waits for grid interconnection and new generation capacity, such as gas turbines. Behind-the-meter (BTM) power is becoming an effective solution to bridge the gap between what the grid can provide and what data centers need to operate smoothly. Utilities and large-scale customers alike are embracing BTM power: 80 percent of utilities view BTM power generation as permanent infrastructure and expect it to serve a significant share of large-load demand by 2030, according to Bloom Energy’s 2026 Utilities Insights Report. Nearly two-thirds of data center developers cite onsite power as their primary response when grid timelines slip. “BTM addresses a major issue, which is avoiding increases in grid retail prices,” says Nik Nunes, Chief Executive Officer at Industrial Development Funding (IDF), a top investment partner of Bloom Energy. “For that reason, several governors have come out in support of it.” Key considerations for successful BTM power generation BTM power isn’t always a simple fix. It involves complications related to regulatory requirements, power storage and permitting. Yet, when used in tandem with local utilities in front of meter power resources, it can provide an effective bridge for bringing large-scale customers online faster, helping them bypass lengthy wait times for a grid connection. BTM can also be affordable over the long term relative to other power sources. To launch a successful BTM power effort, data center developers must address growing public concerns about noise, water usage and emissions. In many jurisdictions, permitting has become a challenge, and BTM power projects are often delayed. To simplify air permitting, it’s helpful for BTM solutions to produce few or no combustion-related emissions. Bloom Energy fuel cells run on natural gas today

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Energy Secretary Builds on Progress to Strengthen Puerto Rico’s Energy Reliability

WASHINGTON—The U.S. Department of Energy (DOE) renewed two emergency orders to support continued improvements to Puerto Rico’s electric grid as the island faces rising energy demand and energy reliability challenges. Building on previous actions in 2025 and 2026, the emergency orders authorize the Puerto Rico Electric Power Authority (PREPA) to dispatch generation units essential for maintaining critical generation capacity, while continuing vegetation management to reduce outages, strengthen long-term grid reliability, and minimize the risk of blackouts.  “The Department of Energy remains committed to modernizing Puerto Rico’s electric grid to provide American families and businesses with more affordable, reliable, and secure energy,” said U.S. Secretary of Energy Chris Wright. “These orders ensure critical work moves forward, pressing reliability challenges are addressed, and the island’s electric grid is equipped to meet growing energy demands. Thanks to President Trump, these efforts are driving meaningful and long-term improvements to Puerto Rico’s energy infrastructure.”  The emergency orders will help secure Puerto Rico’s electricity supply and ensure uninterrupted power service in the face of unforeseen conditions. The orders also address vegetation management issues near power lines. Falling tree limbs and brush can damage transmission lines, cause widespread outages, and potentially cause wildfires.  “I thank President Trump and Secretary Wright for once again demonstrating their commitment to strengthening Puerto Rico’s electric system,” Puerto Rico Governor Jenniffer González-Colón. “The Department of Energy’s Section 202(c) orders have provided essential flexibilities to increase generation capacity, strengthen grid stability, and advance critical maintenance activities. More work remains to be done, and these emergency authorities will be vital as we continue our joint efforts to deliver the reliable and affordable electric service that Puerto Rico’s families and businesses deserve.” The renewed orders are in effect beginning on November 8, 2026, through February 5, 2027. DOE will continue working closely with Governor González-Colón and local authorities to ensure Puerto Rico’s 3.2 million Americans have access to a reliable and secure electric grid. 

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Vista lets drilling contract for Vaca Muerta development

Vista Energy SAB de CV has let a 2-year drilling contract to Archer for work in the Vaca Muerta shale play in Argentina. Under the agreement, Archer will deploy its AC drilling rig DLS-156 to support Vista’s development program in the region. The total contract value is estimated at $35-40 million over the full contract term, including the optional extension year. Vista has an inventory of about 1,470 ready-to-drill locations in Vaca Muerta, and 486 net wells already drilled at the end of third quarter 2026. In July, Vista applied to include its Bandurria Norte shale oil development in Argentina’s Large Investment Incentive Regime (RIGI). Bandurria Norte spans 26,500 acres in Vaca Muerta’s oil window and currently has no producing wells. Vista plans to drill and complete 332 horizontal wells and build dedicated infrastructure, including a 40,000-b/d oil treatment plant, a gas compression plant, gathering systems, pipelines, and associated infrastructure. The project would be Vista’s first large-scale development outside its core Bajada del Palo hub, where existing roads, processing capacity, and gathering networks support lower-cost drilling.

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DCF Global: Britain’s New Bargain With the AI Data Center Industry

The Global Perspective: A New Bargain for the AI Economy? Britain’s new Data Centre Covenant may ultimately prove important well beyond the United Kingdom. Governments across the world are attempting to reconcile the economic promise of AI infrastructure with the extraordinary physical requirements of building it. Electricity networks must accommodate loads measured in hundreds of megawatts. Utilities must plan transmission and generation investments years in advance. Communities are being asked to host facilities whose construction costs can run into billions, but whose permanent employment footprints may be relatively modest. At the same time, national governments increasingly view domestic computing capacity as a strategic asset. Britain is attempting to connect those issues within a single policy framework. Its approach differs in important respects from the fragmented regulatory environment in the United States, where utility commissions, state governments, local authorities, and regional grid operators exercise separate—and sometimes competing—powers over development. Nevertheless, the underlying questions are increasingly similar. In DCF’s October examination of Virginia’s changing data center policies, the industry’s largest established market was confronting new expectations concerning infrastructure costs, utility commitments, community impacts, and the conditions under which large facilities should receive development approval. Britain’s Covenant addresses comparable pressures through a more coordinated national initiative. It effectively proposes that preferential treatment for strategically important data center development should be accompanied by demonstrable public value. That is a meaningful evolution in the relationship between government and the industry. For years, data center investment announcements have emphasized capital expenditure, construction employment, technological leadership, and economic development. Those considerations remain important. But Britain’s emerging framework asks a more demanding set of questions: Can the project obtain real electricity capacity? Will it pay its fair share of infrastructure costs? Does it contribute to domestic capability? What obligations does it have to its host community? And can

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Don’t mention the data center: OpenAI calls them ‘compute campuses’ instead

Data centers’ increasing power consumption is straining the grid, with AI servers accounting for an ever larger share of that consumption, with further increases forecast. These demands are leading to a growing number of protests against the development of data centers, which could lead to construction delays. OpenAI claims that its Grid Protectors Program will meet some of those issues head-on by taking into account future capacity needs and working to make power flexibility a key element in data center, sorry, compute campus, design. The company said that the approach would differ, region by region. It has yet to finalize all the details of the scheme, but it hopes to head off some of the protests. It remains to be seen whether it has this effect. Google recently took the opposite approach to the peak consumption problem, proposing to pay people to turn off their appliances at times of high demand so that it can continue to power its data centers.

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Agentic AI boom expected to reshape CPU market

These activities include planning tasks, scheduling subtasks, calling external tools, managing interactions between multiple agents and evaluating results. Agents also rely on conventional computing resources to execute Python code, search databases, crawl websites and process information, according to TrendForce. As a result, the CPU is enjoying a new lease on life and becoming a more significant component of AI infrastructure rather than simply serving as a supporting processor for GPUs, according to TrendForce. TrendForce notes that traditional AI data centers have typically deployed approximately one CPU for every four to eight GPUs, reflecting the industry’s emphasis on accelerating computationally intensive AI workloads.

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DCF Poll: Does the Data Center Industry Need a Political Reset?

Matt Vincent is Editor in Chief of Data Center Frontier, where he leads editorial strategy and coverage focused on the infrastructure powering cloud computing, artificial intelligence, and the digital economy. A veteran B2B technology journalist with more than two decades of experience, Vincent specializes in the intersection of data centers, power, cooling, and emerging AI-era infrastructure. Since assuming the EIC role in 2023, he has helped guide Data Center Frontier’s coverage of the industry’s transition into the gigawatt-scale AI era, with a focus on hyperscale development, behind-the-meter power strategies, liquid cooling architectures, and the evolving energy demands of high-density compute, while working closely with the Digital Infrastructure Group at Endeavor Business Media to expand the brand’s analytical and multimedia footprint. Vincent also hosts The Data Center Frontier Show podcast, where he interviews industry leaders across hyperscale, colocation, utilities, and the data center supply chain to examine the technologies and business models reshaping digital infrastructure. Since its inception he serves as Head of Content for the Data Center Frontier Trends Summit. Before becoming Editor in Chief, he served in multiple senior editorial roles across Endeavor Business Media’s digital infrastructure portfolio, with coverage spanning data centers and hyperscale infrastructure, structured cabling and networking, telecom and datacom, IP physical security, and wireless and Pro AV markets. He began his career in 2005 within PennWell’s Advanced Technology Division and later held senior editorial positions supporting brands such as Cabling Installation & Maintenance, Lightwave Online, Broadband Technology Report, and Smart Buildings Technology. Vincent is a frequent moderator, interviewer, and keynote speaker at industry events including the HPC Forum, where he delivers forward-looking analysis on how AI and high-performance computing are reshaping digital infrastructure. He graduated with honors from Indiana University Bloomington with a B.A. in English Literature and Creative Writing and lives in southern New Hampshire with

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Arista posts record growth as AI networking supercycle accelerates

One of the core answers to that threat is the company’s Autonomous Virtual Assistant (AVA), which lets administrators ask it questions about network conditions and receive explanations, recommendations, and assistance diagnosing problems. “AVA is incredibly powerful. It seamlessly navigates networking and security infrastructure from campus to WAN, to data center, to cloud, continuously monitoring and troubleshooting, isolating root causes without manual labor-intensive tasks,” said Ken Duda, Arista co-founder, president, CTO & director. “The bad news, of course, is the massive challenge AI poses for us and our customers by discovering and exploiting security vulnerabilities. This threat landscape demands secure and robust networking. Over the past few months, we’ve been collaborating with Anthropic, Google, OpenAI, and many others to integrate new AI-enabled security capabilities from frontier models into our existing software security pipeline,” Duda said.

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AEP, Google Advance $4 Billion Fuel-Cell Project to Power Cheyenne Data Centers

A Power Commitment That Began Two Years Earlier Although Google’s participation was publicly identified in October 2026, the procurement strategy underlying the Cheyenne project dates to November 2024, when Bloom Energy announced an agreement with AEP covering up to 1 gigawatt of solid oxide fuel-cell equipment. As Data Center Frontier reported at the time, the agreement included an initial commitment to purchase 100 MW, with options for an additional 900 MW. The arrangement was intended to help AEP serve large commercial and industrial customers facing growing electricity requirements without waiting for the completion of conventional grid infrastructure upgrades. The relationship advanced in January 2026, when AEP disclosed in a regulatory filing that an unregulated subsidiary had committed approximately $2.65 billion to purchase a substantial portion of the fuel-cell capacity covered by its earlier option. The company also reported a 20-year agreement to sell the planned facility’s entire electricity output to an unidentified investment-grade customer, now confirmed as Google. The equipment purchase formed part of the project’s development history, rather than representing a separate $2.65 billion investment in addition to the $4 billion project announced in October. The scale of the investment is significant, but so is the transaction structure. Rather than requiring Google to own and operate the generation equipment directly, the arrangement places development and ownership responsibilities with an established energy company while providing the hyperscaler long-term access to the facility’s electricity output. For AEP, it also represents an opportunity to deploy capital in support of large-load customers beyond its traditional regulated utility territory. At approximately $4 billion for 702 MW, the project represents roughly $5.7 million per megawatt of planned generating capacity. That figure offers a measure of the investment’s capital intensity, although it is not directly comparable with the construction cost of a conventional gas-fired power plant

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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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