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Enbridge to Invest $1.39 Billion until 2028 in Mainline Pipeline

Enbridge Inc. has earmarked an investment of up to CAD 2 billion ($1.39 billion) until 2028 for a Canada-United States liquids pipeline with a capacity of about 3 million barrels a day of crude oil. That will be spent on “further enhancing and sustaining reliability and efficiency aimed at ensuring the Mainline system continues to […]

Enbridge Inc. has earmarked an investment of up to CAD 2 billion ($1.39 billion) until 2028 for a Canada-United States liquids pipeline with a capacity of about 3 million barrels a day of crude oil.

That will be spent on “further enhancing and sustaining reliability and efficiency aimed at ensuring the Mainline system continues to operate safely and at full capacity to support maximum throughput for years to come”, the Calgary, Canada-based energy transporter and gas utility said in an online statement.

Mainline, which started service seven decades ago and has grown to be Canada’s biggest crude conveyor, carries production from the Canadian province of Alberta to eastern Canada and the U.S. Midwest. Besides petroleum, it also transports refined products and natural gas liquids. Mainline stretches nearly 8,600 miles, according to Enbridge.

The optimization will “support the growing need for ratable egress out of Alberta”, said chief executive Greg Ebel.

Enbridge also announced additional investments in two pipelines: CAD 400 million for the BC Pipeline and CAD 100 million for the T15 project.

The investment for the BC Pipeline is for the Birch Grove project under the pipeline’s T-North section. Expected to raise the BC Pipeline’s capacity by 179 million cubic feet per day to about 3.7 billion cubic feet a day by 2028, the Birch Grove project will provide additional egress for gas producers in northeastern British Columbia to access markets for their growing production, driven by the Montney formation.

The investment for T15 phase 2 is meant for the installment of additional compression to double the original pipeline’s capacity. Expected to go onstream 2027, the expanded pipeline will deliver around 510 million cubic feet a day of natural gas to Duke Energy Corp.’s Roxboro plant in North Carolina as it transitions from coal to gas-fired generation.

The investments come despite President Donald Trump imposing tariffs on Canada, including for its energy exports. Most Canadian products, as well as Mexican products, entering the U.S. will bear a 25 percent tariff while Canadian energy will have a lower rate of 10 percent. The tariffs apply to goods that do not qualify for preference under the three countries’ trade agreement, according to information published online by the White House.

According to the presidential house, the move is in response to Canada- and Mexico-based trafficking of drugs into the U.S. and illegal migration from Mexico. The tariffs stay “until the crisis is alleviated”, the White House said in a statement February 1.

Ebel said, “In combination with the $8 billion [CAD] of projects we sanctioned in 2024, Enbridge’s secured growth now sits at $29 billion [CAD]”.

“We expect to place approximately $23 billion [CAD] of that secured backlog into service through 2027 and the remainder is slated to enter service through 2029”, Ebel added.

“Enbridge will continue to be disciplined as we continuously high-grade our $50 billion [CAD] opportunity set through the end of the decade. Rigorous investment criteria, including project-specific hurdle rates and low-risk commercial models, allow us to capture strong risk-adjusted returns and maximize value for our investors.

“Looking ahead, we’ll maintain our capital discipline and financial flexibility. Our long-held target debt-to-EBITDA range of 4.5x to 5.0x remains the sweet spot for Enbridge and our steadily growing business can equity self-fund $9-$10 billion [CAD] of annual growth capital”.

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SolarWinds buys Squadcast to speed incident response

Squadcast customers shared their experiences with the technology. “Since implementing Squadcast, we’ve reduced incoming alerts from tens of thousands to hundreds, thanks to flexible deduplication. It has a direct impact on reducing alert fatigue and increasing awareness,” said Avner Yaacov, Senior Manager at Redis, in a statement. According to SolarWinds,

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GB Energy could see budget slashed in defence-spending pivot

Ministers are considering cutting the budget of Labour’s flagship state-owned energy company GB Energy. GB Energy was originally promised a budget of £8.3 billion over the current five-year duration of parliament. However, October’s budget only included £100 million for the company’s first two years. A Financial Times report warned that the upcoming June spending review will likely see cuts to the budget. The move comes amid mounting pressure on the UK government as it looks to push defence spending against the backdrop of the Russian invasion of Ukraine and a weakening US commitment to NATO. This means that every part of the budget could be subject to a “zero-based review”, with sources warning that every previous spending commitment could be under review. According to people familiar with the discussions, the Treasury could cut £3.3bn from its budget, including the portion previously earmarked for low-interest loans to cover projects such as rooftop solar and shared-ownership wind projects. A government spokesperson said: “We are fully committed to GB Energy, which is at the heart of our mission to make Britain a clean energy superpower and to ensure homes are cheaper and cleaner to run.” However, neither the Treasury nor the Department for Energy Security and Net Zero (DESNZ) have confirmed that GB Energy is still guaranteed the full £8.3bn of funding. While the exact remit of the company is still unknown, GB Energy was created to help accelerate the UK’s energy transition, most likely by taking stakes in projects such as offshore wind farms. However, the group’s chairman, Jurgen Maier, has previously said his long-term plan for the company is to create a UK Orsted. Maier’s claims that GB Energy could create 1,000 jobs have also been revised, with Maier clarifying that that figure would be over 20 years, with the next

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Analyst Says Bearish Fundamentals Beginning to Reassert Influence Over Gas

In an EBW Analytics Group report sent to Rigzone on Friday by the EBW Analytics Group team, Eli Rubin, an energy analyst at the company, said bearish fundamentals are beginning to reassert influence over natural gas. “Yesterday’s bearish EIA [U.S. Energy Information Administration] storage report surprise is the latest in a cascade of bearish fundamental indicators over the past two weeks,” Rubin said in the report. “Mild March weather (with other widely followed meteorologists aligning with DTN’s warm forecast), weekly average natural gas production near year to date highs, LNG seasonally softening, and narrowing storage deficits suggest the potential for near to medium term price weakness,” Rubin added. Rubin highlighted in the report that the NYMEX front-month contract was up 46.8¢ since Friday “despite the bearish fundamental indicators”. “A loose supply/demand balance may be directed toward refilling storage deficits; storage east of the Rockies is 299 Bcf below five-year norms. Bullish price action in the face of soft near-term indicators remains impressive,” Rubin added. Rubin went on to note in the report that EBW Analytics Group “continue[s] to highlight a structurally bullish long-term outlook and a fundamentally loose spring”. “While upside price threats remain, receding momentum and soft fundamentals are increasing the likelihood of a near-term natural gas price retreat,” Rubin said. The EIA’s latest weekly natural gas storage report, which was released on March 6 and included data for the week ending February 28, stated that “working gas in storage was 1,760 billion cubic feet as of Friday, February 28, 2025, according to EIA estimates”. “This represents a net decrease of 80 billion cubic feet from the previous week. Stocks were 585 billion cubic feet less than last year at this time and 224 billion cubic feet below the five-year average of 1,984 billion cubic feet,” it added. “At

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Enbridge to Invest $1.39 Billion until 2028 in Mainline Pipeline

Enbridge Inc. has earmarked an investment of up to CAD 2 billion ($1.39 billion) until 2028 for a Canada-United States liquids pipeline with a capacity of about 3 million barrels a day of crude oil. That will be spent on “further enhancing and sustaining reliability and efficiency aimed at ensuring the Mainline system continues to operate safely and at full capacity to support maximum throughput for years to come”, the Calgary, Canada-based energy transporter and gas utility said in an online statement. Mainline, which started service seven decades ago and has grown to be Canada’s biggest crude conveyor, carries production from the Canadian province of Alberta to eastern Canada and the U.S. Midwest. Besides petroleum, it also transports refined products and natural gas liquids. Mainline stretches nearly 8,600 miles, according to Enbridge. The optimization will “support the growing need for ratable egress out of Alberta”, said chief executive Greg Ebel. Enbridge also announced additional investments in two pipelines: CAD 400 million for the BC Pipeline and CAD 100 million for the T15 project. The investment for the BC Pipeline is for the Birch Grove project under the pipeline’s T-North section. Expected to raise the BC Pipeline’s capacity by 179 million cubic feet per day to about 3.7 billion cubic feet a day by 2028, the Birch Grove project will provide additional egress for gas producers in northeastern British Columbia to access markets for their growing production, driven by the Montney formation. The investment for T15 phase 2 is meant for the installment of additional compression to double the original pipeline’s capacity. Expected to go onstream 2027, the expanded pipeline will deliver around 510 million cubic feet a day of natural gas to Duke Energy Corp.’s Roxboro plant in North Carolina as it transitions from coal to gas-fired generation. The investments come despite President Donald Trump imposing tariffs

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ComEd offering $100M in rebates to drive EV growth in Illinois

Dive Brief: Chicago-based utility provider ComEd is offering $100 million in rebates to reduce the costs of installing electric vehicle charging hubs in homes, businesses and public sites around northern Illinois, the power company announced Feb. 6. The rebate program is part of a broader statewide initiative to promote widespread adoption of electric vehicles and get one million EVs on Illinois roads by 2030. “The ComEd rebates that support EV adoption and accelerate the expansion of charging infrastructure are pivotal in driving a sustainable future,” Megha Lakhchaura, state EV officer of Illinois, said in the announcement. “These initiatives will empower consumers to make cleaner choices and support the transition to zero emission transportation.” Dive Insight: ComEd’s rebate program is driven by the Climate and Equitable Jobs Act passed by Illinois lawmakers and signed by Gov. JB Pritzker in September 2021. In addition to pushing for EV adoption, it also required Illinois electric utilities to develop plans for rapid deployment of statewide charging infrastructure. The latest ComEd effort follows up its February 2024 program which provided $87 million in rebates to build out charging infrastructure in its service area, which includes the Chicago area and most of northern Illinois. The utility credits its initiative for helping to offset installation costs of nearly 4,000 residential and commercial charging Level 2 and Level 3 ports, as well as public and private charging stations. “ComEd is focused on ensuring that not only is the grid is equipped for increased electrification, but that our customers and communities have the support needed to navigate the transition to EVs and the benefits they provide for customers as well as the environment,” Melissa Washington, ComEd SVP of customer operations and strategic initiatives, said in the release. ComEd’s 2025 program is providing: $53 million in rebates for business and

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Avista, PG&E, Ameren AI demonstrations show big potential – but are other utilities ready?

Utilities and system operators are discovering new ways for artificial intelligence and machine learning to help meet reliability threats in the face of growing loads, utilities and analysts say. There has been an “explosion into public consciousness of generative AI models,” according to a 2024 Electric Power Research Institute, or EPRI, paper. The explosion has resulted in huge 2025 AI financial commitments like the $500 billion U.S. Stargate Project and the $206 billion European Union fund. And utilities are beginning to realize the new possibilities. “Utility executives who were skeptical of AI even five years ago are now using cloud computing, drones, and AI in innovative projects,” said Electric Power Research Institute Executive Director, AI and Quantum, Jeremy Renshaw. “Utilities rapid adoption may make what is impossible today standard operating practice in a few years.” Concerns remain that artificial intelligence and machine learning, or AI/ML, algorithms, could bypass human decision-making and cause the reliability failures they are intended to avoid. “But any company that has not taken its internal knowledge base into a generative AI model that can be queried as needed is not leveraging the data it has long paid to store,” said NVIDIA Senior Managing Director Marc Spieler. For now, humans will remain in the loop and AI/ML algorithms will allow better decision-making by making more, and more relevant, data available faster, he added. In real world demonstrations, utilities and software providers are using AI/ML algorithms to improve tasks as varied as nuclear power plant design and electric vehicle, or EV, charging. But utilities and regulators must face the conundrum of making proprietary data more accessible for the new digital intelligence to increase reliability and reduce customer costs while also protecting it.    The old renewed The power system has already put AI/ML algorithms to work in cybersecurity applications

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Norway Opens Application for One CO2 Storage Exploration Area

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Seven important trends in the server sphere

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Data center vacancies hit historic lows despite record construction

The growth comes despite considerable headwinds facing data center operators, including higher construction costs, equipment pricing, and persistent shortages in critical materials like generators, chillers and transformers, CRBE stated. There is a considerable pricing disparity between newly built data centers and legacy facilities, reflecting the premium placed on modern, energy-efficient infrastructure. Specifically, liquid/immersion cooling is preferred over air cooling for modern server requirements, CRBE found. On the networking side of things, major telecom companies made substantial investments in fiber in the second half of 2024, reflecting the growing need for more network infrastructure and capacity to accommodate growing demand from AI and data providers. There have also been many notable deals recently: AT&T’s multi-year, $1 billion agreement with Corning to provide next-generation fiber, cable and connectivity solutions; Comcast’s proposed acquisition of Nitel; Verizon’s agreement to acquire Frontier, the largest pure-play fiber internet provider in the U.S.; and T-Mobile’s entry into the fiber internet market via partnerships with fiber-optic providers. In the quarter, Meta announced plans for a 25,000-mile undersea fiber cable that would connect the U.S. East and West coasts with global markets across the Atlantic, Indian and Pacific oceans. The project would mark the first privately owned and operated global fiber cable network. Data Center Outlook

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AI driving a 165% rise in data center power demand by 2030

Goldman Sachs Research estimates the power usage by the global data center market to be around 55 gigawatts, which breaks down as 54% for cloud computing workloads, 32% for traditional line of business workloads and 14% for AI. By 2027, that number jumps to 84 GW, with AI growing to 27% of the overall market, cloud dropping to 50%, and traditional workloads falling to 23%, Schneider stated. Goldman Sachs Research estimates that there will be around 122 GW of data center capacity online by the end of 2030, and the density of power use in data centers is likely to grow as well, from 162 kilowatts per square foot to 176 KW per square foot in 2027, thanks to AI, Schneider stated.  “Data center supply — specifically the rate at which incremental supply is built — has been constrained over the past 18 months,” Schneider wrote. These constraints have arisen from the inability of utilities to expand transmission capacity because of permitting delays, supply chain bottlenecks, and infrastructure that is both costly and time-intensive to upgrade. The result is that due to power demand from data centers, there will need to be additional utility investment, to the tune of about $720 billion of grid spending through 2030. And then they are subject to the pace of public utilities, which move much slower than hyperscalers. “These transmission projects can take several years to permit, and then several more to build, creating another potential bottleneck for data center growth if the regions are not proactive about this given the lead time,” Schneider wrote.

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Top data storage certifications to sharpen your skills

Organization: Hitachi Vantara Skills acquired: Knowledge of data center infrastructure management tasks automation using Hitachi Ops Center Automator. Price: $100 Exam duration: 60 minutes How to prepare: Knowledge of all storage-related operations from an end-user perspective, including planning, allocating, and managing storage and architecting storage layouts. Read more about Hitachi Vantara’s training and certification options here. Certifications that bundle cloud, networking and storage skills AWS Certified Solutions Architect – Professional The AWS Certified Solutions Architect – Professional certification from leading cloud provider Amazon Web Services (AWS) helps individuals showcase advanced knowledge and skills in optimizing security, cost, and performance, and automating manual processes. The certification is a means for organizations to identify and develop talent with these skills for implementing cloud initiatives, according to AWS. The ideal candidate has the ability to evaluate cloud application requirements, make architectural recommendations for deployment of applications on AWS, and provide expert guidance on architectural design across multiple applications and projects within a complex organization, AWS says. Certified individuals report increased credibility with technical colleagues and customers as a result of earning this certification, it says. Organization: Amazon Web Services Skills acquired: Helps individuals showcase skills in optimizing security, cost, and performance, and automating manual processes Price: $300 Exam duration: 180 minutes How to prepare: The recommended experience prior to taking the exam is two or more years of experience in using AWS services to design and implement cloud solutions Cisco Certified Internetwork Expert (CCIE) Data Center The Cisco CCIE Data Center certification enables individuals to demonstrate advanced skills to plan, design, deploy, operate, and optimize complex data center networks. They will gain comprehensive expertise in orchestrating data center infrastructure, focusing on seamless integration of networking, compute, and storage components. Other skills gained include building scalable, low-latency, high-performance networks that are optimized to support artificial intelligence (AI)

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Netskope expands SASE footprint, bolsters AI and automation

Netskope is expanding its global presence by adding multiple regions to its NewEdge carrier-grade infrastructure, which now includes more than 75 locations to ensure processing remains close to end users. The secure access service edge (SASE) provider also enhanced its digital experience monitoring (DEM) capabilities with AI-powered root-cause analysis and automated network diagnostics. “We are announcing continued expansion of our infrastructure and our continued focus on resilience. I’m a believer that nothing gets adopted if end users don’t have a great experience,” says Netskope CEO Sanjay Beri. “We monitor traffic, we have multiple carriers in every one of our more than 75 regions, and when traffic goes from us to that destination, the path is direct.” Netskope added regions including data centers in Calgary, Helsinki, Lisbon, and Prague as well as expanded existing NewEdge regions including data centers in Bogota, Jeddah, Osaka, and New York City. Each data center offers customers a range of SASE capabilities including cloud firewalls, secure web gateway (SWG), inline cloud access security broker (CASB), zero trust network access (ZTNA), SD-WAN, secure service edge (SSE), and threat protection. The additional locations enable Netskope to provide coverage for more than 220 countries and territories with 200 NewEdge Localization Zones, which deliver a local direct-to-net digital experience for users, the company says.

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Inside the Nuclear Race for Data Center Energy with Aalo Atomics CEO Matt Loszak

The latest episode of the DCF Show podcast delves into one of the most pressing challenges facing the data center industry today: the search for sustainable, high-density power solutions. And how, as hyperscale operators like Google and Meta contend with growing energy demands—and, in some cases, resistance from utilities unwilling or unable to support their expanding footprints—the conversation around nuclear energy has intensified.  Both legacy nuclear providers and innovative startups are racing to secure the future business of data center giants, each bringing unique approaches to the table. Our guest for this podcast episode is Matt Loszak, co-founder and CEO of Aalo Atomics, an Austin-based company that’s taking a fresh approach to nuclear energy. Aalo, which secured a $29.5 million Series A funding round in 2024, stands out in the nuclear sector with its 10-megawatt sodium-cooled reactor design—eliminating the need for water, a critical advantage for siting flexibility. Inspired by the Department of Energy’s MARVEL microreactor, Aalo’s technology benefits from direct expertise, as the company’s CTO was the chief architect behind MARVEL. Beyond reactor design, Aalo’s vision extends to full-scale modular plant production. Instead of just building reactors, the company aims to manufacture entire nuclear plants using prefabricated, LEGO-style components. The fully modular plants, shipped in standard containers, are designed to match the footprint of a data center while requiring no onsite water—features that could make them particularly attractive to hyperscale operators seeking localized, high-density power.  Aalo has already made significant strides, with the Department of Energy identifying land at Idaho National Laboratory (INL) as a potential site for its first nuclear facility. The company is on an accelerated timeline, expecting to complete a non-nuclear prototype within three months and break ground on its first nuclear reactor in about a year—remarkably fast progress for the nuclear industry. In our discussion,

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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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