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EOG Wins Two New PSCs in Trinidad

Trinidad and Tobago signed Wednesday two new production sharing contracts (PSCs) with EOG Resources Ltd., which is already producing in the Caribbean country. The licenses are part of shallow water areas offered in a 2023-24 bidding round in the twin islands, which opened October 2023 and closed May 2024, according to an online statement by the […]

Trinidad and Tobago signed Wednesday two new production sharing contracts (PSCs) with EOG Resources Ltd., which is already producing in the Caribbean country.

The licenses are part of shallow water areas offered in a 2023-24 bidding round in the twin islands, which opened October 2023 and closed May 2024, according to an online statement by the Ministry of Energy and Energy Industries (MEEI).

“EOG continues to be very important to the fabric of the energy sector here in Trinidad and Tobago”, said Energy and Energy Industries Minister Stuart R Young.

“We at the Ministry of Energy and Energy Industries have to continue to ensure the relationship is as we have built it to be, with open communication and then we proceed to get more done”, Young added.

EOG managing director George Viera said, “The last time we signed a PSC was in 2005 so it has been a while, approximately 20 years ago and we are excited to get this going”.

The new PSCs are Lower Reverse L and NCMA 4(a), out of three for which the United States oil and gas exploration and production company bid.

Block Lower Reverse L is on the southeast coast of Trinidad island. It has water depths of about 80-200 meters (262.47-656.17 feet). It is near existing EOG infrastructure and producing assets, the MEEI said.

NCMA 4(a) sits on the North Coast Marine Area with water depths of around 100-200 meters. “Entry into NCMA marks a significant milestone for EOG, as it ventures into an area predominantly operated by other companies”, the ministry said.

NCMA hosts seven gas fields to the north of Trinidad: Bougainvillea, Chaconia, Heliconia, Hibiscus, Ixora, Poinsettia and Poinsettia Southwest. The fields, discovered between the late 1970s and the early 1980s and put into production twenty years later, lie on trend with several gas fields on Venezuela’s coast, according to Wood Mackenzie.

The ministry said negotiations had been held to improve the terms before the PSCs were signed.

“The execution of these PSCs not only signifies the potential for increasing the hydrocarbon reserves in Trinidad and Tobago but also ensures local development and economic growth through the payment of financial obligations by EOG to the government for research and development, training of nationals and scholarships”, the MEEI said.

Trinidad and Tobago contributed 1,200 barrels a day of crude oil and condensate and 225 million cubic feet per day of natural gas to EOG’s production in the third quarter of 2024, according to the company’s latest results.

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US Justice Department sues to block HPE’s $14 billion Juniper buy

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Shell, Thebe Near $1B South Africa Oil Asset Sales Pact

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Tesla storage deployments more than double to 31.4 GWh in 2024

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HSE serves notice on Serica over Bruce gas release

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Testing UK tech overseas ‘is not good enough’, says NZTC

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UK Oil Ruling Sets Up Growth Versus Climate Test for Government

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Timeline of HPE’s $14 billion bid for Juniper

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Verizon brings AI suite to enterprise infrastructure customers

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Trump’s 100% tariff threat on Taiwan chips raises cost, supply chain fears

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New tweak to Linux kernel could cut data center power usage by up to 30%

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Macquarie’s Big Play in AI and HPC: $17+ Billion Invested Across Two Data Center Titans

Macquarie Asset Management (MAM) is making bold moves to position itself as a dominant force in the rapidly growing sectors of AI and high-performance computing (HPC). In a single week, MAM has made two pivotal investments in Applied Digital and Aligned Data Centers, committing over $17 billion to fuel innovation, growth, and capacity expansion in critical infrastructure markets across the Americas. Both deals highlight the immense demand for AI-ready and HPC-optimized data centers, underscoring the ongoing digitization of the global economy and the insatiable need for computing power to drive artificial intelligence (AI), machine learning (ML), and other resource-intensive workloads. Applied Digital Partners with Macquarie Asset Management for $5 Billion HPC Investment On January 14, Applied Digital Corporation announced what it billed as a transformative partnership with Macquarie to drive growth in HPC infrastructure. This agreement positions Applied Digital as a leading designer, builder, and operator of advanced data centers in the United States, catering to the growing demands of AI and HPC workloads. To account for the $5 billion commitment, funds managed by MAM will invest up to $900 million in Applied Digital’s Ellendale HPC Campus in North Dakota, with an additional $4.1 billion available for future HPC projects. This could support over 2 gigawatts (GW) of HPC data center development. MAM is a global asset manager overseeing approximately $633.7 billion in assets. Part of Australia-based Macquarie Group, it specializes in diverse investment solutions across real assets, real estate, credit, and equities. With its new landmark agreement with Macquarie, Applied Digital feels it is poised to redefine the HPC data center landscape, ensuring its place as a leader in the AI and HPC revolution. In terms of ownership structure, MAM’s investment here includes perpetual preferred equity and a 15% common equity interest in Applied Digital’s HPC business segment, allowing

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Data Center Frontier Announces Editorial Advisory Board for 2025 DCF Trends Summit

Nashua, NH – Data Center Frontier is excited to announce its Editorial Advisory Board for the second annual Data Center Frontier Trends Summit (DCF Trends Summit), taking place August 26-28, 2025, at the Hyatt Regency Reston in Reston, Virginia.  The 2025 DCF Trends Summit Editorial Advisory Board includes distinguished leaders from hyperscale and colocation operators, power and cooling solutions companies, IT and interconnection providers, and design/build/construction specialists. This year’s board has grown to include 15 esteemed executives, reflecting DCF’s commitment to providing comprehensive and diverse insights for the data center sector.  This visionary group of leaders, representing the critical facets of the data center ecosystem, will guide the event’s content and programming to address the most pressing trends impacting the industry. The group’s unparalleled expertise ensures the Summit will deliver essential insights to help data center stakeholders make informed decisions in the industry’s rapidly evolving landscape.  The Editorial Advisory Board for the 2025 DCF Trends Summit includes:  Scott Bergs, CEO, Dark Fiber & Infrastructure (DF&I) Steven Carlini, VP, Innovation and Data Center Energy Management Business, Schneider Electric Dan Crosby, CEO, Legend Energy Advisors Rob Coyle, Director of Technical Programs, Open Compute Project (OCP) Foundation Chris Downie, CEO, Flexential Sean Farney, VP of Data Centers, Jones Lang LaSalle (JLL) Mark Freeman, VP of Marketing, Vantage Data Centers Steven Lim, SVP of Marketing & GTM Strategy, NTT Global Data Centers David McCall, VP of Innovation, QTS Data Centers Nancy Novak, Chief Innovation Officer, Compass Datacenters Karen Petersburg, VP of Construction & Development, PowerHouse Data Centers Tara Risser, Chief Business Officer, Cologix Stefan Raab, Sr. Director, Business Development – AMER, Equinix Phill Lawson-Shanks, Chief Innovation Officer, Aligned Data Centers Brenda Van der Steen, VP of Global Growth Marketing, Digital Realty “The Editorial Advisory Board for the second annual Data Center Frontier Trends Summit is

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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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