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Chariot Regains Interest in Moroccan Offshore Assets

Africa-focused energy company Chariot Limited said it has regained its Moroccan offshore interests from Energean plc with the acquisition of its subsidiary, which holds 45 percent and 37.5 percent, respectively, in the Lixus Offshore and Rissana Offshore licenses. Chariot is now the operator of the assets, with a 75 percent working interest in each license, […]

Africa-focused energy company Chariot Limited said it has regained its Moroccan offshore interests from Energean plc with the acquisition of its subsidiary, which holds 45 percent and 37.5 percent, respectively, in the Lixus Offshore and Rissana Offshore licenses.

Chariot is now the operator of the assets, with a 75 percent working interest in each license, with Morocco’s National Office of Hydrocarbons and Mines, or ONHYM, retaining its 25 percent stake.

The Anchois gas field is located in the Lixus Offshore license, where three wells have been drilled, Chariot said in a news release.

The Anchois-3 well was completed in September 2024. While the well did not deliver the additional volumes required to enable an expansion of the initially planned Anchois development, multiple quality gas-bearing reservoirs were found in the main B sand appraisal interval, Chariot noted.

The company said it “remains committed to progressing the license work programs and will collaborate with ONHYM to assess and adapt the Anchois development plan based on discovered resources”.

Chariot said it will continue to assess the additional potential of the wider Lixus and Rissana license areas.

Chariot CEO Adonis Pouroulis said, “We are pleased to have completed the transfer of these licenses and regained operatorship as we see material value within our diversified Moroccan position, both offshore and onshore. The Anchois gas discovery still offers the potential for a rescaled development and our next steps are to scope this based on the core resources found in the three wells underpinned by our previous work on engineering design, environmental and regulatory approvals, project financing and gas sales. Gas market fundamentals in Morocco are robust with strong gas demand and excellent fiscal terms and we will look to work with all stakeholders, including our partner ONHYM and the Ministry of Energy Transition and Sustainable Development to advance these important domestic projects”.

PPA Secured for Solar Project

Meanwhile, South African electricity trading platform Etana Energy, in which Chariot owns a 49 percent stake, has signed a 20-year power purchase agreement for the entire supply from the 75-megawatt Du Plessis Dam PV2 solar project.

The project has reached financial close and will be constructed by Mulilo, a renewable energy developer and independent power producer in South Africa, Chariot said in an earlier statement.

Located in South Africa’s Northern Cape, the project will begin in the second quarter, the company said.

“Construction starting on the Du Plessis 75-MW solar project marks a key milestone for Etana, our joint venture energy trading business, which will start generating meaningful revenues once this project is in production. This is the first solar generation project within Etana’s initial offtake portfolio with others progressing to financial close. There has been oversubscribed demand from industrial and commercial customers looking for long term, sustainable supply and we believe we have a very scalable business that is at the forefront of helping to resolve the energy situation in South Africa,” Pouroulis said.

Etana is focused on providing competitive, sustainable end-to-end energy solutions through the connecting of power generation projects to commercial and industrial users by wheeling electricity across South Africa’s national grid, according to the statement.

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Survey: AMD continues to take server share from Intel

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Transmission charging adds £1bn to Scottish offshore wind farm costs

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FERC rejects MISO plan to speed generation interconnection

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Tariff uncertainty weighs on networking vendors

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Liquid cooling becoming essential as AI servers proliferate

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Cisco taps OpenAI’s Codex for AI-driven network coding

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US companies are helping Saudi Arabia to build an AI powerhouse

AMD announced a five-year, $10 billion collaboration with Humain to deploy up to 500 megawatts of AI compute in Saudi Arabia and the US, aiming to deploy “multi-exaflop capacity by early 2026.” AWS, too, is expanding its data centers in Saudi Arabia to bolster Humain’s cloud infrastructure. Saudi Arabia has abundant oil and gas to power those data centers, and is growing its renewable energy resources with the goal of supplying 50% of the country’s power by 2030. “Commercial electricity rates, nearly 50% lower than in the US, offer potential cost savings for AI model training, though high local hosting costs due to land, talent, and infrastructure limit total savings,” said Eric Samuel, Associate Director at IDC. Located near Middle Eastern population centers and fiber optic cables to Asia, these data centers will offer enterprises low-latency cloud computing for real-time AI applications. Late is great There’s an advantage to being a relative latecomer to the technology industry, said Eric Samuel, associate director, research at IDC. “Saudi Arabia’s greenfield tech landscape offers a unique opportunity for rapid, ground-up AI integration, unburdened by legacy systems,” he said.

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AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers

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Check Point CISO: Network segregation can prevent blackouts, disruptions

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Microsoft will invest $80B in AI data centers in fiscal 2025

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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

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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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