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European Commission Proposes 90 Pct Emissions Cut by 2040

The European Commission proposed Wednesday an amendment to the European Union Climate Law to set a goal of a 90 percent net reduction in regional greenhouse gas emissions by 2040 compared to 1990, toward a climate-neutral economy by 2050. The proposed intermediate target “does not prescribe specific policies, technologies or measures, leaving Member States flexibility, […]

The European Commission proposed Wednesday an amendment to the European Union Climate Law to set a goal of a 90 percent net reduction in regional greenhouse gas emissions by 2040 compared to 1990, toward a climate-neutral economy by 2050.

The proposed intermediate target “does not prescribe specific policies, technologies or measures, leaving Member States flexibility, taking into account the regulatory framework to achieve greenhouse gas emission reduction targets”, the official text says.

The nearer intermediate aim of a 55 percent net reduction by 2030 comes with binding policies toward the legally binding target of net zero by 2050.

The 2040 proposal is based on an impact assessment by the Commission that found “a reduction of 90-95 percent was the most proportionate to bring the EU economy to climate neutrality by 2050 and for the EU to contribute to global climate action in accordance with the Paris Agreement temperature goals of limiting the temperature increase to well below 2ºC above pre-industrial levels and pursuing efforts to limit the temperature increase to 1,5°C above pre-industrial levels”, the text states.

The impact assessment took into account progress toward the 2030 reduction aim. The assessment used economic modeling to analyze the evolution of emissions by sector and the contribution of technologies needed to reach net-zero emissions.

A Commission analysis published May said the EU was on course to fulfil the 2030 aim, despite saying efforts needed to go beyond existing policies. The projection relies on the 27 member states fully implementing their National Energy and Climate Plans.

In a statement for the 2040 proposal, the Commission said, “One central element is flexibilities that the Commission will consider in designing the future legislative instruments to achieve this 2040 climate target”.

“These include a limited role for high-quality international credits starting from 2036, the use of domestic permanent removals in the EU Emissions Trading System, and greater flexibilities across sectors to help achieve targets in a cost-effective  and socially fair way”, the Commission said.

“Concretely, this could give a Member State the possibility to compensate for the struggling land use sector with an overachievement on reducing emissions on waste and transport.

“The Commission proposal emphasizes the importance of accelerating and strengthening the right enabling conditions to support this 90 percent target. These include a competitive European industry, a fair transition that leaves no one behind, and a level playing field with our international partners”.

It said it had “substantial engagement” with national governments, civil society, citizens, the European Parliament and other stakeholders before formalizing the proposal.

The proposal needs to be discussed by the European Parliament and Council before adoption.

Commission President Ursula von der Leyen said in a statement, “As European citizens increasingly feel the impact of climate change, they expect Europe to act. Industry and investors look to us to set a predictable direction of travel. Today we show that we stand firmly by our commitment to decarbonize European economy by 2050. The goal is clear, the journey is pragmatic and realistic”.

Earlier on Monday the Commission reported 85 percent of EU citizens viewed climate change as a serious problem and that 77 percent agreed that the cost of damage was much higher than the investment needed toward net zero. The numbers were based on interviews with nearly 26,500 people “from different social and demographic groups across all 27 EU Member States”.

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Analysts Reveal What They Expect at Next OPEC+ 8 Meeting

In a report sent to Rigzone by the Standard Chartered Bank team late Tuesday, analysts at the bank, including the company’s commodities research head Paul Horsnell, revealed their projection for the next meeting of the eight OPEC+ countries that made additional voluntary cuts in April and November 2023, which is set for Sunday. “We expect ministers will continue the unwinding of the November 2023 tranche of cuts, increasing targets by 411,000 barrels per day for the fourth successive month,” the analysts said in the report. “We expect a further 411,000 barrel per day increase at the August meeting, which will result in the full unwinding of the November 2023 voluntary cuts that totaled about 2.2 million barrels per day,” they added. In the report, the analysts noted that they expect the market to absorb extra OPEC+ production easily in the short term and revealed that they forecast a global stock draw of 0.9 million barrels per day in the third quarter of this year and a 0.2 million barrel per day build in the second quarter. “The tightening in Q3 is primarily the result of a 1.4 million barrel per day quarter on quarter increase in demand while non-OPEC+ output is fairly flat and OPEC+ output increases by significantly less than the nominal unwinding of the target cuts,” the analysts said in the report. “While the targets (not including compensation for past overproduction) will average about one million barrels per day higher week on week in Q3, we expect total OPEC+ output to rise quarter on quarter by about 0.4 million barrels per day,” they added. The Standard Chartered Bank analysts stated in the report that rapid unwinding of the November 2023 cuts has proved a highly successful strategy. “It has simplified a situation that many traders found too complicated,

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Eni Next, Azimut Partner to Accelerate Clean Tech Deployment

Eni S.p.A.’s corporate venture capital company, Eni Next, has signed a collaboration agreement with Azimut Group. Under the agreement, Azimut will launch a new European Long Term Investment Fund (ELTIF) of venture capital, leveraging Eni Next’s consulting and expertise on technological developments in the energy sector. Eni said in a media release the ELTIF’s launch is expected in September 2025, and the fund will support investments in the energy tech sector.  With a EUR 100 million ($118 million) fundraising target, the Luxembourg-based fund, which is currently awaiting authorization from the relevant authorities, will be open to a broad range of investors, both institutional and private, in line with the new ELTIF 2.0 Regulation’s criteria. The portfolio will comprise U.S.-based startups and scale-ups in the clean tech sector, focusing on decarbonization, energy efficiency, sustainable mobility, and the circular economy. The fund may also invest in European and international companies, Eni said. “This strategic collaboration initiated with Azimut provides Eni Next with an additional lever to support innovative companies in the energy sector. By combining our specialized expertise with Azimut’s fundraising capabilities, the partnership will further accelerate and enhance the growth of the Eni Next portfolio”, Clara Andreoletti, CEO of Eni Next, said. “The energy sector, like many other industrial sectors, is undergoing a profound transformation driven by technological innovation. To support this transition and ensure its economic sustainability, private capital plays a crucial role in enabling new technological solutions to emerge and scale rapidly”. “As new technologies reshape the energy sector, driving a generational shift toward increasingly efficient solutions, this fund aims to give investors access to the most promising and high-potential opportunities”, Giorgio Medda, CEO of Azimut Holding, commented. “This will help bring the Group’s total investments since 2022, dedicated to global energy transition and environmental sustainability, to at least

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SP Energy Networks Earmarks $1.9B For Scottish Grid Upgrades

Scottish Power Ltd.’s SP Energy Networks has agreed on deals worth GBP 1.4 billion ($1.9 billion) for critical onshore transmission projects across central and southern Scotland. ScottishPower said in a media release that the commitment will help with the delivery of the government’s Clean Power 2030 mission. Part of a GBP 5.4 billion ($7.4 billion) decade-long investment to upgrade the grid, these contracts help SP Energy Networks build long-term partnerships with UK businesses to rewire the electricity network. This program aims to increase capacity for new homes, businesses, and clean energy, as well as improve power distribution, reduce reliance on fossil fuels, and enhance energy security, ScottishPower said. “These strategic partnerships give suppliers the confidence to invest in themselves – growing their workforce, opening new offices across the country, and creating even greater opportunities for the UK”, Nicola Connelly, CEO of SP Energy Networks, said. “This is great news for the UK and Scottish supply chains, with every pound spent directly benefiting central and southern Scotland and its infrastructure for decades to come”. The contracts cover new and upgraded high-voltage substations, overhead line construction, design, engineering, construction, and electrical works, ScottishPower said. The strategic collaborations last five years, with a possibility of a 10-year extension. Seventeen out of the 19 suppliers are in the UK, according to ScottishPower. “These SP Energy Networks partnerships take us a step closer to reaching clean power by 2030, in modernizing the country’s outdated network to get more of clean power generated in Scotland to homes and businesses across the country”, Energy Minister Michael Shanks said. “This is the clean power transition in action – investing in British supply chains that will bring skilled jobs and economic growth to communities in Scotland and beyond”. Morgan Sindall Infrastructure is the sole contractor for the substation and overhead lines

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Naftogaz, ORLEN Ink Fourth LNG Contract in 2025

ORLEN SA has agreed to deliver an additional 140 million cubic meters (4.94 billion cubic feet) of liquefied natural gas (LNG) from the United States to Ukraine’s Naftogaz Group via Poland. This is the fourth LNG supply contract signed by the state-owned companies this year, bringing Naftogaz’s total contracted gas volumes from ORLEN to 440 million cubic meters, Naftogaz said in an online statement. The contracts are part of a cooperation pact signed by ORLEN and Naftogaz last March to diversify Ukraine’s gas supply sources, ORLEN said separately. After arriving from the U.S., the LNG is planned to be regasified at the Swinoujscie terminal in Poland or the Klaipeda terminal in Lithuania and then transported to Ukraine via Poland. “Naftogaz is diversifying its sources and routes of gas supply”, said Naftogaz chief executive Sergii Koretskyi. “This enhances Ukraine’s energy security and resilience amid the ongoing full-scale war with Russia”. “Signing an additional contract for the supply of American LNG is an important element of our preparations for the coming winter heating season and a big step toward ensuring reliable gas supply for Ukrainians”, Koretskyi added. ORLEN chief operating officer Robert Soszynski said, “Thanks to our continually developed trading expertise, proprietary fleet of LNG transport vessels and reserved regasification capacities, we are well-positioned to support Ukraine in diversifying both the sources and supply routes for natural gas”. “The summer period, which is crucial for replenishing storage facilities, adds to the importance of these deliveries”, Soszynski added. “ORLEN not only ceased all Russian gas imports over three years ago, but today we are also in a position to assist neighboring countries, such as Slovakia and Ukraine, on their path toward energy independence from Russia”, Soszynski said. On Monday ORLEN said it had also eliminated Russian oil from its supply chain when the

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European Commission Proposes 90 Pct Emissions Cut by 2040

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Oil Jumps on Vietnam Trade Deal

Oil climbed in light pre-holiday trading after US President Donald Trump said he had reached a trade deal with Vietnam. West Texas Intermediate rose 3.1% to settle above $67 a barrel after Trump said he had reached a pact with the Southeast Asian nation that eliminated the nation’s import tariff on US goods. The deal is the third announced following agreements with the major trade partners UK and China, with investors pricing in a tentative optimism that more will be reached ahead of a July 9 deadline. Oil’s jump was probably amplified by low liquidity ahead of Friday’s July Fourth holiday in the US. The price gains came despite government data Wednesday showing a buildup in US crude inventories of 3.85 million barrels. The increase is the largest in three months, and more than five times the 680,000 barrel increase projected by the industry-funded American Petroleum Institute on Tuesday. Trading activity in crude futures has declined overall since the truce between Israel and Iran led prices to plunge early last week, with volatility returning to the lower levels seen before the war. The market is likely to turn its attention to a glut forecast for later this year, with an OPEC+ meeting this weekend expected to deliver another substantial increase in production quotas. “Speculators who are already net-long are trying to protect their position,” said Robert Yawger, director of the energy futures division at Mizuho Securities USA. “The problem is that they are running into a OPEC+ meeting with no place to hide over the long weekend.” Investors will also hone in on a slew of inputs expected in the coming days, ranging from a jobs report Thursday to an OPEC+ output decision at the weekend. Oil Prices WTI for August delivery rose 3.1% to settle at $67.45 a barrel

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Arista Buys VeloCloud to reboot SD-WANs amid AI infrastructure shift

What this doesn’t answer is how Arista Networks plans to add newer, security-oriented Secure Access Service Edge (SASE) capabilities to VeloCloud’s older SD-WAN technology. Post-acquisition, it still has only some of the building blocks necessary to achieve this. Mapping AI However, in 2025 there is always more going on with networking acquisitions than simply adding another brick to the wall, and in this case it’s the way AI is changing data flows across networks. “In the new AI era, the concepts of what comprises a user and a site in a WAN have changed fundamentally. The introduction of agentic AI even changes what might be considered a user,” wrote Arista Networks CEO, Jayshree Ullal, in a blog highlighting AI’s effect on WAN architectures. “In addition to people accessing data on demand, new AI agents will be deployed to access data independently, adapting over time to solve problems and enhance user productivity,” she said. Specifically, WANs needed modernization to cope with the effect AI traffic flows are having on data center traffic. Sanjay Uppal, now VP and general manager of the new VeloCloud Division at Arista Networks, elaborated. “The next step in SD-WAN is to identify, secure and optimize agentic AI traffic across that distributed enterprise, this time from all end points across to branches, campus sites, and the different data center locations, both public and private,” he wrote. “The best way to grab this opportunity was in partnership with a networking systems leader, as customers were increasingly looking for a comprehensive solution from LAN/Campus across the WAN to the data center.”

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Data center capacity continues to shift to hyperscalers

However, even though colocation and on-premises data centers will continue to lose share, they will still continue to grow. They just won’t be growing as fast as hyperscalers. So, it creates the illusion of shrinkage when it’s actually just slower growth. In fact, after a sustained period of essentially no growth, on-premises data center capacity is receiving a boost thanks to genAI applications and GPU infrastructure. “While most enterprise workloads are gravitating towards cloud providers or to off-premise colo facilities, a substantial subset are staying on-premise, driving a substantial increase in enterprise GPU servers,” said John Dinsdale, a chief analyst at Synergy Research Group.

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Oracle inks $30 billion cloud deal, continuing its strong push into AI infrastructure.

He pointed out that, in addition to its continued growth, OCI has a remaining performance obligation (RPO) — total future revenue expected from contracts not yet reported as revenue — of $138 billion, a 41% increase, year over year. The company is benefiting from the immense demand for cloud computing largely driven by AI models. While traditionally an enterprise resource planning (ERP) company, Oracle launched OCI in 2016 and has been strategically investing in AI and data center infrastructure that can support gigawatts of capacity. Notably, it is a partner in the $500 billion SoftBank-backed Stargate project, along with OpenAI, Arm, Microsoft, and Nvidia, that will build out data center infrastructure in the US. Along with that, the company is reportedly spending about $40 billion on Nvidia chips for a massive new data center in Abilene, Texas, that will serve as Stargate’s first location in the country. Further, the company has signaled its plans to significantly increase its investment in Abu Dhabi to grow out its cloud and AI offerings in the UAE; has partnered with IBM to advance agentic AI; has launched more than 50 genAI use cases with Cohere; and is a key provider for ByteDance, which has said it plans to invest $20 billion in global cloud infrastructure this year, notably in Johor, Malaysia. Ellison’s plan: dominate the cloud world CTO and co-founder Larry Ellison announced in a recent earnings call Oracle’s intent to become No. 1 in cloud databases, cloud applications, and the construction and operation of cloud data centers. He said Oracle is uniquely positioned because it has so much enterprise data stored in its databases. He also highlighted the company’s flexible multi-cloud strategy and said that the latest version of its database, Oracle 23ai, is specifically tailored to the needs of AI workloads. Oracle

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Datacenter industry calls for investment after EU issues water consumption warning

CISPE’s response to the European Commission’s report warns that the resulting regulatory uncertainty could hurt the region’s economy. “Imposing new, standalone water regulations could increase costs, create regulatory fragmentation, and deter investment. This risks shifting infrastructure outside the EU, undermining both sustainability and sovereignty goals,” CISPE said in its latest policy recommendation, Advancing water resilience through digital innovation and responsible stewardship. “Such regulatory uncertainty could also reduce Europe’s attractiveness for climate-neutral infrastructure investment at a time when other regions offer clear and stable frameworks for green data growth,” it added. CISPE’s recommendations are a mix of regulatory harmonization, increased investment, and technological improvement. Currently, water reuse regulation is directed towards agriculture. Updated regulation across the bloc would encourage more efficient use of water in industrial settings such as datacenters, the asosciation said. At the same time, countries struggling with limited public sector budgets are not investing enough in water infrastructure. This could only be addressed by tapping new investment by encouraging formal public-private partnerships (PPPs), it suggested: “Such a framework would enable the development of sustainable financing models that harness private sector innovation and capital, while ensuring robust public oversight and accountability.” Nevertheless, better water management would also require real-time data gathered through networks of IoT sensors coupled to AI analytics and prediction systems. To that end, cloud datacenters were less a drain on water resources than part of the answer: “A cloud-based approach would allow water utilities and industrial users to centralize data collection, automate operational processes, and leverage machine learning algorithms for improved decision-making,” argued CISPE.

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HPE-Juniper deal clears DOJ hurdle, but settlement requires divestitures

In HPE’s press release following the court’s decision, the vendor wrote that “After close, HPE will facilitate limited access to Juniper’s advanced Mist AIOps technology.” In addition, the DOJ stated that the settlement requires HPE to divest its Instant On business and mandates that the merged firm license critical Juniper software to independent competitors. Specifically, HPE must divest its global Instant On campus and branch WLAN business, including all assets, intellectual property, R&D personnel, and customer relationships, to a DOJ-approved buyer within 180 days. Instant On is aimed primarily at the SMB arena and offers a cloud-based package of wired and wireless networking gear that’s designed for so-called out-of-the-box installation and minimal IT involvement, according to HPE. HPE and Juniper focused on the positive in reacting to the settlement. “Our agreement with the DOJ paves the way to close HPE’s acquisition of Juniper Networks and preserves the intended benefits of this deal for our customers and shareholders, while creating greater competition in the global networking market,” HPE CEO Antonio Neri said in a statement. “For the first time, customers will now have a modern network architecture alternative that can best support the demands of AI workloads. The combination of HPE Aruba Networking and Juniper Networks will provide customers with a comprehensive portfolio of secure, AI-native networking solutions, and accelerate HPE’s ability to grow in the AI data center, service provider and cloud segments.” “This marks an exciting step forward in delivering on a critical customer need – a complete portfolio of modern, secure networking solutions to connect their organizations and provide essential foundations for hybrid cloud and AI,” said Juniper Networks CEO Rami Rahim. “We look forward to closing this transaction and turning our shared vision into reality for enterprise, service provider and cloud customers.”

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Data center costs surge up to 18% as enterprises face two-year capacity drought

“AI workloads, especially training and archival, can absorb 10-20ms latency variance if offset by 30-40% cost savings and assured uptime,” said Gogia. “Des Moines and Richmond offer better interconnection diversity today than some saturated Tier-1 hubs.” Contract flexibility is also crucial. Rather than traditional long-term leases, enterprises are negotiating shorter agreements with renewal options and exploring revenue-sharing arrangements tied to business performance. Maximizing what you have With expansion becoming more costly, enterprises are getting serious about efficiency through aggressive server consolidation, sophisticated virtualization and AI-driven optimization tools that squeeze more performance from existing space. The companies performing best in this constrained market are focusing on optimization rather than expansion. Some embrace hybrid strategies blending existing on-premises infrastructure with strategic cloud partnerships, reducing dependence on traditional colocation while maintaining control over critical workloads. The long wait When might relief arrive? CBRE’s analysis shows primary markets had a record 6,350 MW under construction at year-end 2024, more than double 2023 levels. However, power capacity constraints are forcing aggressive pre-leasing and extending construction timelines to 2027 and beyond. The implications for enterprises are stark: with construction timelines extending years due to power constraints, companies are essentially locked into current infrastructure for at least the next few years. Those adapting their strategies now will be better positioned when capacity eventually returns.

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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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