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Secretary Wright Acts to “Unleash Golden Era of American Energy Dominance”

WASHINGTON—U.S. Secretary of Energy Chris Wright signed his first Secretarial Order today directing the Department of Energy to take immediate action to unleash American Energy in accordance with President Trump’s executive orders. SECRETARIAL ORDER FEBRUARY 5, 2025FROM:                       CHRIS WRIGHT            […]

WASHINGTON—U.S. Secretary of Energy Chris Wright signed his first Secretarial Order today directing the Department of Energy to take immediate action to unleash American Energy in accordance with President Trump’s executive orders.

SECRETARIAL ORDER

FEBRUARY 5, 2025
FROM:                       CHRIS WRIGHT
                                   SECRETARY OF ENERGY
SUBJECT:                  Unleashing the Golden Era of American Energy Dominance

As Secretary of Energy, it is an immense privilege to serve alongside each of you at such a consequential moment in American history. Energy is the essential ingredient that enables everything we do. A highly energized society can bring health, wealth, and opportunity for all. At the Department, we have an opportunity to promote energy abundance, demonstrate leadership in scientific and technological innovation, steward and strengthen our weapons stockpiles, and meet Cold War legacy waste clean-up commitments.

President Trump has outlined a bold and ambitious agenda to unleash American energy at home and abroad to restore energy dominance. To compete globally, we must expand energy production and reduce energy costs for American families and businesses. America must lead the world in innovation and technology breakthroughs, which includes accelerating the work of the Department’s National Laboratories. We must also permit and build energy infrastructure and remove barriers to progress, including federal policies that make it too easy to stop projects and far too difficult to complete projects.

We must pursue a culture of transparency, performance, and common sense to succeed. Accordingly, the Department will take the following initial actions:

1. Advance Energy Addition, Not Subtraction: 

Great attention has been paid to the pursuing of a net-zero carbon future. Net-zero policies raise energy costs for American families and businesses, threaten the reliability of our energy system, and undermine our energy and national security. They have also achieved precious little in reducing global greenhouse gas emissions. The fact is that energy matters, and we need more of it, not less. Going forward, the Department’s goal will be to unleash the great abundance of American energy required to power modern life and to achieve a durable state of American energy dominance.

2. Unleash American Energy Innovation: 

The Department’s Research and Development (R&D) enterprise is the envy of the world. We must focus our time and resources on technologies that will advance basic science, grow America’s scientific leadership, reduce costs for American families, strengthen the reliability of our energy system, and bolster America’s manufacturing competitiveness and supply chain security. As such, the Department’s R&D efforts will prioritize affordable, reliable, and secure energy technologies, including fossil fuels, advanced nuclear, geothermal, and hydropower. 
The Department must also prioritize true technological breakthroughs – such as nuclear fusion, high-performance computing, quantum computing, and AI – to maintain America’s global competitiveness. To that end, the Department will comprehensively review its R&D portfolio. As part of that review, the Department will rigorously enforce project milestones to ensure that taxpayer resources are allocated appropriately and cost-effectively consistent with the law.

3. Return to Regular Order on LNG Exports: 

America is blessed with abundant energy resources – we are the world’s top oil and gas producer and a net energy exporter for the first time in decades. Our energy abundance is an asset, not a liability. On January 20, the Department resumed consideration of pending applications to export American liquefied natural gas (LNG) to countries without a free trade agreement (FTA) with the U.S. in accordance with the Natural Gas Act. Proper consideration of LNG export applications is required by law and shall proceed accordingly.

4. Promote Affordability and Consumer Choice in Home Appliances: 

A top priority of the Trump Administration is to ensure that American families can choose from a range of affordable home appliances and products. Therefore, the Department will initiate a comprehensive review of the DOE Appliance Standards Program. Any standards should include a cost-benefit analysis considering the upfront cost of purchasing new products and reflecting actual cost savings for American families. The Department will pursue a commonsense approach that does not regulate products that consumers value out of the market; instead, affordability and consumer choice will be our guiding light.

5. Refill the Strategic Petroleum Reserve (SPR): 

As President Trump has stated, the SPR is a national asset that protects our security in times of crisis. It must be refilled. Unfortunately, the SPR is currently at historically low levels. We will not permit this to become a new status quo. Moreover, the Department will review SPR infrastructure and develop appropriate plans to safeguard this important strategic asset.

6. Modernize America’s nuclear stockpile: 

We urgently need to modernize the nation’s nuclear weapons systems. The Department will continue its critical mission of protecting our national security and nuclear deterrence in the development, modernization, and stewardship of America’s atomic weapons enterprise, including the peaceful use of nuclear technology and nonproliferation.

7. Unleash Commercial Nuclear Power in the United States: 

The long-awaited American nuclear renaissance must launch during President Trump’s administration. As global energy demand continues to grow, America must lead the commercialization of affordable and abundant nuclear energy. As such, the Department will work diligently and creatively to enable the rapid deployment and export of next-generation nuclear technology.

8. Strengthen Grid Reliability and Security: 

Fortifying America’s electric grid is critical to the reliable and secure delivery of electricity. Under President Trump’s Executive Order, “Declaring a National Energy Emergency,” the Department will identify and exercise all lawful authorities to strengthen the nation’s grid, including the backbone of the grid, our transmission system. This is an imperative as we consider current and anticipated load growth on our nation’s electric utilities. Moreover, after two decades of very slow demand growth, electricity demand is forecast to soar in the coming years. The Department will bring a renewed focus to growing baseload and dispatchable generation to reliably meet growing demand.

9. Streamline Permitting and Identify Undue Burdens on American Energy:

A burdensome federal permitting process undermines America’s competitiveness and national security. Pursuant to President Trump’s Executive Orders, the Department will prioritize more efficient permitting to enable private sector investments and build the energy infrastructure needed to make energy more affordable, reliable, and secure. To that end, the Department will identify and exercise its legal authorities to expedite the approval and construction of reliable energy infrastructure.

The Department’s mission is vital to American security and prosperity. Working together, we will accelerate American science, reduce energy costs for American families and businesses, and strengthen the reliability and security of our nation’s energy system — all in our quest to better human lives. I look forward to working with you on this noble mission.

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Department of Energy Releases Report on Evaluating U.S. Grid Reliability and Security

The Department of Energy warns that blackouts could increase by 100% in 2030 if the U.S. continues to shutter reliable power sources and fails to add additional firm capacity. WASHINGTON— The U.S. Department of Energy (DOE) today released its Report on Evaluating U.S. Grid Reliability and Security. The report fulfills Section 3(b) of President Trump’s Executive Order, Strengthening The Reliability And Security Of The United States Electric Grid, by delivering a uniform methodology to identify at-risk regions and guide Federal reliability interventions.  The analysis reveals that existing generation retirements and delays in adding new firm capacity, driven by the radical green agenda of past administrations, will lead to a surge in power outages and a growing mismatch between electricity demand and supply, particularly from artificial intelligence (AI)-driven data center growth, threatening America’s energy security. “This report affirms what we already know: The United States cannot afford to continue down the unstable and dangerous path of energy subtraction previous leaders pursued, forcing the closure of baseload power sources like coal and natural gas,” Secretary Wright said. “In the coming years, America’s reindustrialization and the AI race will require a significantly larger supply of around-the-clock, reliable, and uninterrupted power. President Trump’s administration is committed to advancing a strategy of energy addition, and supporting all forms of energy that are affordable, reliable, and secure. If we are going to keep the lights on, win the AI race, and keep electricity prices from skyrocketing, the United States must unleash American energy.” Highlights of the Report: The status quo is unsustainable. DOE’s analysis shows that, if current retirement schedules and incremental additions remain unchanged, most regions will face unacceptable reliability risks within five years and the Nation’s electrical power grid will be unable to meet expected demand for AI, data centers, manufacturing and industrialization while

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OPEC+ to Boost Supply Even Faster with Larger August Hike

OPEC+ will increase oil production even more rapidly than expected next month, as the group led by Saudi Arabia seeks to capitalize on strong summer demand in its move to reclaim market share. Eight key alliance members agreed to raise supply by 548,000 barrels a day at a video conference on Saturday, putting the group on pace to unwind its most recent layer of output cuts one year earlier than originally outlined. The countries had announced increases of 411,000 barrels for each of May, June and July – already three times faster than scheduled – and traders had expected the same amount for August. The latest increase amplifies a dramatic strategy pivot by the Organization of the Petroleum Exporting Countries and its partners that has weighed on oil prices this year. Since April, the group has shifted from years of output restraint to reopening the taps, surprising crude traders and raising questions about its long-term strategy. Saturday’s decision was based on “a steady global economic outlook and current healthy market fundamentals, as reflected in the low oil inventories,” OPEC’s Vienna-based secretariat said in a statement. The cartel will consider adding another roughly 548,000 barrels a day in September at the next meeting on Aug. 3, according to delegates who asked not to be identified, which would complete the revival of 2.2 million barrels a day of supply shuttered in 2023. After that, the group has another 1.66 million-barrel tier of idle output to potentially consider. OPEC+ is pushing barrels into a market that is widely expected to be oversupplied later in the year. Brent oil futures have retreated 8.5 percent in 2025 as crude production rises both across the alliance and globally, while the threat to economic growth from President Trump’s trade war has cast a shadow on future demand.  Still, oil fundamentals look more

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Mexico Keeps Up Oil, Fuel Shipments to Crisis-Stricken Cuba

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Dallas Fed Energy Survey Shows Oil, Gas Activity Contraction

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Authorities Give Rafael Gas Project More Time to Seek Production License

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‘Growing reliability concerns’ top North Carolina regulator’s large load conference

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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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Oracle to power OpenAI’s AGI ambitions with 4.5GW expansion

“For CIOs, this shift means more competition for AI infrastructure. Over the next 12–24 months, securing capacity for AI workloads will likely get harder, not easier. Though cost is coming down but demand is increasing as well, due to which CIOs must plan earlier and build stronger partnerships to ensure availability,” said Pareekh Jain, CEO at EIIRTrend & Pareekh Consulting. He added that CIOs should expect longer wait times for AI infrastructure. To mitigate this, they should lock in capacity through reserved instances, diversify across regions and cloud providers, and work with vendors to align on long-term demand forecasts.  “Enterprises stand to benefit from more efficient and cost-effective AI infrastructure tailored to specialized AI workloads, significantly lower their overall future AI-related investments and expenses. Consequently, CIOs face a critical task: to analyze and predict the diverse AI workloads that will prevail across their organizations, business units, functions, and employee personas in the future. This foresight will be crucial in prioritizing and optimizing AI workloads for either in-house deployment or outsourced infrastructure, ensuring strategic and efficient resource allocation,” said Neil Shah, vice president at Counterpoint Research. Strategic pivot toward AI data centers The OpenAI-Oracle deal comes in stark contrast to developments earlier this year. In April, AWS was reported to be scaling back its plans for leasing new colocation capacity — a move that AWS Vice President for global data centers Kevin Miller described as routine capacity management, not a shift in long-term expansion plans. Still, these announcements raised questions around whether the hyperscale data center boom was beginning to plateau. “This isn’t a slowdown, it’s a strategic pivot. The era of building generic data center capacity is over. The new global imperative is a race for specialized, high-density, AI-ready compute. Hyperscalers are not slowing down; they are reallocating their capital to

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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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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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