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SS-2H IP60 Flow Rate Sets Beetaloo Basin Record

Tamboran Resources Corporation has reported that the Shenandoah South 2H sidetrack (SS-2H ST1) well achieved an average 60-day initial production (IP60) flow rate of 6.8 million cubic feet per day (MMcf/d), a Beetaloo Basin record. “This result is a new Beetaloo Basin record and is more than double the previous IP60 record set by the […]

Tamboran Resources Corporation has reported that the Shenandoah South 2H sidetrack (SS-2H ST1) well achieved an average 60-day initial production (IP60) flow rate of 6.8 million cubic feet per day (MMcf/d), a Beetaloo Basin record.

“This result is a new Beetaloo Basin record and is more than double the previous IP60 record set by the SS-1H well in 2024,” Joel Riddle, Tamboran Chief Executive Officer, said in a stock filing.

Tamboran added that the exit rate maintains a steady, low-declining curve at 6.4 MMcf/d with a flowing wellhead pressure of 720 psi and has exhibited less decline than that of the SS-1H well over the last 30 days of testing. This also confirms the company’s view of commercial deliverability from the Beetaloo Basin to the Australian domestic East Coast gas market.

Tamboran also said it had commenced the three-well 2025 Shenandoah South Pilot Project drilling program with the spudding of the Shenandoah South 4H well. The wells are being drilled by the Helmerich & Payne super-spec FlexRig Flex 3 Rig from the SS2 pad in Exploration Permit 98.

“We have now commenced the largest planned drilling program in the Beetaloo Basin to date, with three wells to be drilled back-to-back with a total combined horizontal section of 30,000 feet”, Riddle said.

“These three wells are the last remaining wells required to be drilled as part of Tamboran’s commitment to deliver 40 MMcf/d to the local market under our gas sales contract with the Northern Territory Government. With over 90 percent of electricity in the Northern Territory market supplied from gas-fired power generation, our contract with the NTG is expected to play a major role in delivering energy security for all Territorians”, he said.

Tamboran said that through its subsidiaries, it is the largest acreage holder and operator with approximately 1.9 million net prospective acres in the Beetaloo Subbasin within the Greater McArthur Basin in the Northern Territory of Australia.

To contact the author, email [email protected]

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Nvidia to restart H20 exports to China, unveils new export-compliant GPU

China re-entry impact Nvidia’s announcements mark a bid to re-enter the world’s second-largest AI market under tightened US export controls. But this return may not mean business as usual. “Despite Nvidia’s market re-entry, Chinese companies will likely continue diversifying suppliers to strengthen supply chain resilience,” said Prabhu Ram, VP of

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AMD warns of new Meltdown/Spectre-like CPU bugs

AMD itself isn’t terribly worried about them; two of the exploits are rated medium in the severity ratings while the other two are rated low. There are good reasons for the low severity scores. First, there is a high degree of complexity involved in a successful attack. AMD said it

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A timeline of Broadcom/VMware and Siemens licensing dispute

June 24: VMware responds, saying that Siemens distributed infringing VMware products to its US subsidiaries in violation of US copyright law by accessing VMware’s US server. July 1: Nah uh, says Siemens. First, any actions taken by the parent company occurred in Germany. Also, downloading allegedly copyrighted software does not

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Mach Natural to Acquire Assets in Permian, San Juan Basins

Mach Natural Resources said it has entered into separate definitive agreements to acquire certain oil and gas assets from Sabinal Energy, LLC and entities owning oil and gas assets managed by IKAV Energy Inc. The combined consideration for both transactions is approximately $1.3 billion, subject to customary terms, conditions, and closing price adjustments. The transactions are expected to close during the third quarter, each with an effective date of April 1, 2025, the company said in a news release. Mach has agreed to acquire Sabinal’s assets, located in the Permian Basin, for an unadjusted purchase price of $500 million. The Sabinal assets include approximately 130,000 net acres, with first-quarter average production of approximately 11,000 barrels of oil equivalent per day (boepd), of which 98 percent was liquids and 2 percent was natural gas, according to the release. Sabinal is backed by U.S.-based private equity firm Kayne Anderson. Mach said it expects to fund the transaction with Sabinal with $300 million of equity consideration in the form of Mach common units, with the balance to be funded through a combination of cash on hand and borrowings under its revolving credit facility. Further, Mach has agreed to purchase IKAV San Juan, located in the San Juan Basin, for an unadjusted purchase price of $787 million. IKAV San Juan’s assets include approximately 570,000 net acres, with first-quarter average production of approximately 60,000 boepd, of which 6 percent was liquids and 94 percent was natural gas, according to the release. Mach expects to fund the transaction with IKAV San Juan with $462 million of equity consideration in the form of Mach common units, with the balance to be funded through a combination of cash on hand and borrowings under its revolving credit facility. Pro forma, Mach said it will operate across three distinct regions:

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USA EIA Cuts Henry Hub Gas Price Forecast for 2025, 2026

The U.S. Energy Information Administration (EIA) reduced its Henry Hub natural gas spot price forecast for 2025 and 2026 in its latest short term energy outlook (STEO), which was released on July 8. According to that STEO, the EIA sees the Henry Hub natural gas spot price averaging $3.67 per million British thermal units (MMBtu) in 2025 and $4.41 per MMBtu in 2026. The EIA’s previous STEO, which was released in June, projected that the Henry Hub natural gas spot price would average $4.02 per MMBtu this year and $4.88 per MMBtu next year. Both STEOs highlighted that the Henry Hub natural gas spot price came in at $2.19 per MMBtu in 2024. In its latest STEO, the EIA projected that the Henry Hub natural gas spot price will average $3.37 per MMBtu in the third quarter of this year, $3.99 per MMBtu in the fourth quarter, $4.46 per MMBtu in the first quarter of 2026, $3.76 per MMBtu in the second quarter, $4.35 per MMBtu in the third quarter, and $5.06 per MMBtu in the fourth quarter of next year. The EIA’s previous STEO saw the Henry Hub natural gas spot price coming in at $4.01 per MMBtu in the third quarter, $4.67 per MMBtu in the fourth quarter, $5.35 per MMBtu in the first quarter of 2026, $4.39 per MMBtu in the second quarter, $4.87 per MMBtu in the third quarter, and 4.92 per MMBtu in the fourth quarter of next year. “Compared with our June forecast, we expect more natural gas in storage in the coming months because of slightly more natural gas production and less power sector demand,” the EIA said in its latest STEO. “As a result, we reduced our forecast for natural gas prices,” the EIA added. In its STEO, the EIA noted that

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Are We Likely to See OPEC+ Enter Maximum Production Mode in 2025?

Are we likely to see OPEC+ enter maximum production mode this year? That was the question Rigzone posed to Caleb Jasso, Senior Policy Advisor at the Institute for Energy Research, and Enverus Intelligence Research Director Al Salazar. Responding to the question, Jasso told Rigzone that, although OPEC+ has increased its production targets for August, “it remains unclear whether this will later result in maximum production this year”. “OPEC+ is likely trying to recapture market share lost to the increased production and future production potential of the United States, Canada, and countries such as Argentina and Guyana,” Jasso said. “By increasing supply and thereby lowering prices, OPEC+ may also be attempting to reestablish their geopolitical influence and maximize exports to China, while demand remains relatively high,” he added. “China is the world’s largest importer and has begun decreasing its overall import percentage, which may prove challenging to OPEC+,” Jasso went on to state. In his response, Salazar told Rigzone that we are likely to see OPEC+ enter maximum production mode this year, “assuming maximum production mode is the full unwind of cuts (2.2 million barrels per day + 0.3 million barrel per day UAE target upgrade)”. “OPEC appears highly likely to enter maximum production mode in 2025, due to apparent alignment with President Trump’s desire for lower oil prices and stronger than anticipated global oil market fundamentals,” Salazar said. “The cartel’s intent to accelerate the unwind of its production cuts is a clear signal defending price is no longer its top priority. Meanwhile, highly anticipated demand headwinds due to global trade uncertainty have yet to emerge in terms of weaker oil demand,” he added. Salazar told Rigzone that global oil demand on a year over year basis has grown around one million barrels per day and added that “seasonal tailwinds [are]

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ORLEN Starts Selling SAF at Polish Airports

ORLEN SA has started offering sustainable aviation fuel (SAF) at airports in Warsaw, Krakow and Katowice. “The inclusion of SAF in our aviation fuel portfolio marks another step in implementing our 2035 strategy”, Ireneusz Sitarski, vice president of ORLEN’s management board for wholesale and logistics, said in a press release. Poland’s majority state-owned ORLEN already supplies aviation fuels Jet A-1 and AVGAS 100 LL, which the company says can serve all types of aircraft. “We are expanding our product portfolio while responding to the need to decarbonize operations on both the supply and demand side”, Sitarski added. Adam Sanocki, member of Polish Airports SA’s management board in charge of strategy and marketing, commented, “The introduction of SAF at Warsaw Chopin Airport is a major milestone in the aviation sector’s transition toward climate neutrality. Our priority is to establish the conditions necessary for carriers to reduce emissions and progress their sustainability strategies”. LOT Polish Airlines chief operating officer Dorota Dmuchowska said, “The introduction of SAF into the Polish market is an important step for us in the process of adapting to regulatory requirements stemming from the ReFuelEU Aviation regulation”. “Although access to SAF remains limited, its availability at selected airports in the country will significantly facilitate the implementation of LOT’s Sustainable Development and Decarbonization Strategy, in line with the company’s development plans”, Dmuchowska added. “The deployment of such fuels requires precise logistical planning, which is why we appreciate ORLEN’s initiative, as it will undoubtedly support us in meeting the objectives of the EU requirements”. The ReFuelEU Aviation Regulation adopted October 2023 requires bigger airports in the European Union to raise the share of SAFs in their fuel mix gradually. Each airport that falls under the regulation must have at least two percent of SAF in their total consumption starting this year. That

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Eni, Khazna Partner for AI Data Center Campus in Italy

Eni S.p.A. has signed a Heads of Terms (HoT) with hyperscale digital infrastructure specialist Khazna Data Centers. The HoT lays the groundwork for a joint venture aimed at developing an AI Data Center Campus with a total IT capacity of 500 megawatts in Ferrera Erbognone, Lombardy, Eni said in a media release. “We’re proud to partner with Eni, a demonstrated energy leader, on this HoT, which represents a defining step in Khazna’s European expansion. Together with Eni, we are enabling the infrastructure needed for exponential AI growth – delivering the scale, sustainability, and operational precision that next-generation compute demands”, Hassan Alnaqbi, CEO of Khazna Data Centers, said. The project, whose development activities are already underway, is part of the strategic partnership between Italy and the United Arab Emirates launched in February 2025, aimed at installing an overall IT capacity of up to 1 gigawatt in Italy, Eni added. “Through this partnership Eni and Khazna are jointly contributing to delivering a world-class hyperscale infrastructure, strategic for Italy and Europe, providing their distinctive capabilities in innovation, energy sustainability, and rapid time-to-market”, Guido Brusco, Eni COO for Global Natural Resources, said. The AI Data Center Campus is planned to deploy scalable, high-performance computing and energy-efficient infrastructure, Eni said. The partnership leverages Khazna’s expertise in advanced data center design and operations and Eni’s leadership in sustainable energy, establishing a robust AI ecosystem at Europe’s core, Eni said. Eni will supply the Data Center Campus with Blue Power, a low-carbon electricity source produced by a new high-efficiency gas power plant designed to capture carbon dioxide emissions, Eni said. The company said this creates an innovative synergy linking decarbonized energy and data center design in Italy. To contact the author, email [email protected] What do you think? We’d love to hear from you, join the conversation on the

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SS-2H IP60 Flow Rate Sets Beetaloo Basin Record

Tamboran Resources Corporation has reported that the Shenandoah South 2H sidetrack (SS-2H ST1) well achieved an average 60-day initial production (IP60) flow rate of 6.8 million cubic feet per day (MMcf/d), a Beetaloo Basin record. “This result is a new Beetaloo Basin record and is more than double the previous IP60 record set by the SS-1H well in 2024,” Joel Riddle, Tamboran Chief Executive Officer, said in a stock filing. Tamboran added that the exit rate maintains a steady, low-declining curve at 6.4 MMcf/d with a flowing wellhead pressure of 720 psi and has exhibited less decline than that of the SS-1H well over the last 30 days of testing. This also confirms the company’s view of commercial deliverability from the Beetaloo Basin to the Australian domestic East Coast gas market. Tamboran also said it had commenced the three-well 2025 Shenandoah South Pilot Project drilling program with the spudding of the Shenandoah South 4H well. The wells are being drilled by the Helmerich & Payne super-spec FlexRig Flex 3 Rig from the SS2 pad in Exploration Permit 98. “We have now commenced the largest planned drilling program in the Beetaloo Basin to date, with three wells to be drilled back-to-back with a total combined horizontal section of 30,000 feet”, Riddle said. “These three wells are the last remaining wells required to be drilled as part of Tamboran’s commitment to deliver 40 MMcf/d to the local market under our gas sales contract with the Northern Territory Government. With over 90 percent of electricity in the Northern Territory market supplied from gas-fired power generation, our contract with the NTG is expected to play a major role in delivering energy security for all Territorians”, he said. Tamboran said that through its subsidiaries, it is the largest acreage holder and operator with approximately 1.9

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Intel CEO: We are not in the top 10 semiconductor companies

The Q&A session came on the heels of layoffs across the company. Tan was hired in March, and almost immediately he began to promise to divest and reduce non-core assets. Gelsinger had also begun divesting the company of losers, but they were nibbles around the edge. Tan is promising to take an axe to the place. In addition to discontinuing products, the company has outsourced marketing and media relations — for the first time in more than 25 years of covering this company, I have no internal contacts at Intel. Many more workers are going to lose their jobs in coming weeks. So far about 500 have been cut in Oregon and California but many more is expected — as much as 20% of the overall company staff may go, and Intel has over 100,000 employees, according to published reports. Tan believes the company is bloated and too bogged down with layers of management to be reactive and responsive in the same way that AMD and Nvidia are. “The whole process of that (deciding) is so slow and eventually nobody makes a decision,” he is quoted as saying. Something he has decided on is AI, and he seems to have decided to give up. “On training, I think it is too late for us,” Tan said, adding that Nvidia’s position in that market is simply “too strong.” So there goes what sales Gaudi3 could muster. Instead, Tan said Intel will focus on “edge” artificial intelligence, where AI capabilities Are brought to PCs and other remote devices rather than big AI processors in data centers like Nvidia and AMD are doing. “That’s an area that I think is emerging, coming up very big and we want to make sure that we capture,” Tan said.

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AMD: Latest news and insights

Survey: AMD continues to take server share from Intel May 20, 2025: AMD continues to take market share from Intel, growing at a faster rate and closing the gap between the two companies to the narrowest it has ever been. AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers May 15, 2025: As part of the avalanche of business deals that came from President Trump’s Middle East tour, both AMD and Nvidia have struck multi-billion dollar deals with an emerging Saudi AI firm. AMD targets hosting providers with affordable EPYC 4005 processors May 14, 2025: AMD launched its latest set of data center processors, targeting hosted IT service providers. The EPYC 4005 series is purpose-built with enterprise-class features and support for modern infrastructure technologies at an affordable price, the company said. Jio teams with AMD, Cisco and Nokia to build AI-enabled telecom platform March 18, 2025: Jio has teamed up with AMD, Cisco and Nokia to build an AI-enabled platform for telecom networks. The goal is to make networks smarter, more secure and more efficient to help service providers cut costs and develop new services. AMD patches microcode security holes after accidental early disclosure February 3, 2025: AMD issued two patches for severe microcode security flaws, defects that AMD said “could lead to the loss of Secure Encrypted Virtualization (SEV) protection.” The bugs were inadvertently revealed by a partner.

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Nvidia hits $4T market cap as AI, high-performance semiconductors hit stride

“The company added $1 trillion in market value in less than a year, a pace that surpasses Apple and Microsoft’s previous trajectories. This rapid ascent reflects how indispensable AI chipmakers have become in today’s digital economy,” Kiran Raj, practice head, Strategic Intelligence (Disruptor) at GlobalData, said in a statement. According to GlobalData’s Innovation Radar report, “AI Chips – Trends, Market Dynamics and Innovations,” the global AI chip market is projected to reach $154 billion by 2030, growing at a compound annual growth rate (CAGR) of 20%. Nvidia has much of that market, but it also has a giant bullseye on its back with many competitors gunning for its crown. “With its AI chips powering everything from data centers and cloud computing to autonomous vehicles and robotics, Nvidia is uniquely positioned. However, competitive pressure is mounting. Players like AMD, Intel, Google, and Huawei are doubling down on custom silicon, while regulatory headwinds and export restrictions are reshaping the competitive dynamics,” he said.

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Enterprises will strengthen networks to take on AI, survey finds

Private data centers: 29.5% Traditional public cloud: 35.4% GPU as a service specialists: 18.5% Edge compute: 16.6% “There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.” AI networking challenges The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders. According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included: Integration between AI network and legacy networks: 43% Bandwidth demand: 41% Coordinating traffic flows of synchronized AI workloads: 38% Latency: 36% WAN issues respondents shared included: Complexity of workload distribution across sites: 42% Latency between workloads and data at WAN edge: 39% Complexity of traffic prioritization: 36% Network congestion: 33% “It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.” Enterprise leaders intend to invest in infrastructure

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CoreWeave acquires Core Scientific for $9B to power AI infrastructure push

Such a shift, analysts say, could offer short-term benefits for enterprises, particularly in cost and access, but also introduces new operational risks. “This acquisition may potentially lower enterprise pricing through lease cost elimination and annual savings, while improving GPU access via expanded power capacity, enabling faster deployment of Nvidia chipsets and systems,” said Charlie Dai, VP and principal analyst at Forrester. “However, service reliability risks persist during this crypto-to-AI retrofitting.” This also indicates that struggling vendors such as Core Scientific and similar have a way to cash out, according to Yugal Joshi, partner at Everest Group. “However, it does not materially impact the availability of Nvidia GPUs and similar for enterprises,” Joshi added. “Consolidation does impact the pricing power of vendors.” Concerns for enterprises Rising demand for AI-ready infrastructure can raise concerns among enterprises, particularly over access to power-rich data centers and future capacity constraints. “The biggest concern that CIOs should have with this acquisition is that mature data center infrastructure with dedicated power is an acquisition target,” said Hyoun Park, CEO and chief analyst at Amalgam Insights. “This may turn out to create challenges for CIOs currently collocating data workloads or seeking to keep more of their data loads on private data centers rather than in the cloud.”

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CoreWeave achieves a first with Nvidia GB300 NVL72 deployment

The deployment, Kimball said, “brings Dell quality to the commodity space. Wins like this really validate what Dell has been doing in reshaping its portfolio to accommodate the needs of the market — both in the cloud and the enterprise.” Although concerns were voiced last year that Nvidia’s next-generation Blackwell data center processors had significant overheating problems when they were installed in high-capacity server racks, he said that a repeat performance is unlikely. Nvidia, said Kimball “has been very disciplined in its approach with its GPUs and not shipping silicon until it is ready. And Dell almost doubles down on this maniacal quality focus. I don’t mean to sound like I have blind faith, but I’ve watched both companies over the last several years be intentional in delivering product in volume. Especially as the competitive market starts to shape up more strongly, I expect there is an extremely high degree of confidence in quality.” CoreWeave ‘has one purpose’ He said, “like Lambda Labs, Crusoe and others, [CoreWeave] seemingly has one purpose (for now): deliver GPU capacity to the market. While I expect these cloud providers will expand in services, I think for now the type of customer employing services is on the early adopter side of AI. From an enterprise perspective, I have to think that organizations well into their AI journey are the consumers of CoreWeave.”  “CoreWeave is also being utilized by a lot of the model providers and tech vendors playing in the AI space,” Kimball pointed out. “For instance, it’s public knowledge that Microsoft, OpenAI, Meta, IBM and others use CoreWeave GPUs for model training and more. It makes sense. These are the customers that truly benefit from the performance lift that we see from generation to generation.”

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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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