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Talos Encounters Oil at Walker Ridge in Gulf of America

Talos Energy Inc. said it encountered oil at the Daenerys exploration prospect located in the U.S. Gulf of America’s Walker Ridge blocks 106, 107, 150, and 151. The discovery well was drilled to a total vertical depth of 33,228 feet utilizing the West Vela deepwater drillship and encountered oil pay in multiple high-quality, sub-salt Miocene […]

Talos Energy Inc. said it encountered oil at the Daenerys exploration prospect located in the U.S. Gulf of America’s Walker Ridge blocks 106, 107, 150, and 151.

The discovery well was drilled to a total vertical depth of 33,228 feet utilizing the West Vela deepwater drillship and encountered oil pay in multiple high-quality, sub-salt Miocene sands, the company said in a news release.

Talos conducted a comprehensive wireline program, acquiring core, fluid, and log data to evaluate the reservoir.

The well was drilled approximately 12 days ahead of schedule and delivered approximately $16 million under budget, Talos said.

Planning is underway for an appraisal well to further define the discovered resource, and the discovery well has been temporarily suspended to preserve its future utility, the company said.

Talos President and CEO Paul Goodfellow said, “We are encouraged by the results of our Daenerys discovery well, which confirms the presence of hydrocarbons and validates our geologic and geophysical models. We believe these results support Talos’ pre-drill resource assumptions. We are now working closely with our partners to design an appraisal program that will further delineate this exciting discovery. We anticipate spudding the appraisal well in the second quarter of 2026”.

Talos, as operator, will hold a 27% percent working interest in the asset. Shell Offshore Inc. will hold a 22.5 percent working interest, Red Willow will hold 22.5 percent, Houston Energy, L.P. will hold 10 percent, Cathexis will hold nine percent, and HEQ II Daenerys LLC will hold nine percent, according to the release.

Daenerys is a high-impact subsalt prospect that carries an estimated pre-drill gross resource potential between 100 million to 300 million barrels of oil equivalent.

In June, Talos said it was implementing an “enhanced corporate strategy designed to position the company as a leading pure-play offshore exploration and production company”.

Talos said it is targeting approximately $100 million in increased annualized cash flow in 2026 through capital efficiency, margin enhancement, commercial opportunities, and general organizational improvements, according to its most recent earnings release.

The company said it plans to invest in high-margin organic projects, “complemented by disciplined, accretive bolt-on acquisitions in deepwater basins, which will enhance production and profitability”. Talos said it plans to “take a strategic and measured approach in assessing opportunities within the Gulf of America and other conventional offshore basins,” noting that a scaled portfolio will provide “significant production growth potential, and ultimately the ability to generate long-term consistent free cash flow”.

In January, Talos said it discovered commercial quantities of oil and gas at the Katmai West #2 well in the Ewing Bank area of the U.S. Gulf of America.

The Katmai West #2 well was drilled significantly under budget and ahead of schedule to a true vertical depth of approximately 27,000 feet, Talos said in an earlier statement. The well “encountered the primary target sand full-to-base with over 400 feet of gross hydrocarbon pay and excellent rock properties in line with pre-drill expectations,” the company stated.

Talos added that the strong performance from Katmai West #1 well, and the successful appraisal from Katmai West #2 well, have nearly doubled the proved estimated ultimate recovery of Katmai West field to approximately 50 million barrels of oil equivalent (MMBoe) gross, which further affirms its expected total resource potential of approximately 100 MMBoe gross.

To contact the author, email [email protected]



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As US takes 10% stake in Intel, new questions arise for enterprise buyers

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Trump administration halts work on 700-MW Revolution Wind

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Brent Swings to Rare Discount Against Middle East Counterpart

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Avangrid Signs 72 MW Deal with SmartEnergy

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Nvidia turns to software to speed up its data center networking hardware for AI

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Fluke Networks expands testing to help ease data center networking challenges

High-density fiber connections amplify contamination risks The shift toward higher-density fiber connections has significantly complicated contamination control. Modern array connectors can house up to 24 individual fibers within a single connection point. In contrast, traditional duplex connections contained just two fibers. “The slightest little bit of dust on one of those nine micron wide fibers, which, by the way, is much smaller than a human hair, the slightest little bit of dust on any one of the 24 in that connector, and it’s not going to work,” Mullins explained.  The inspection and cleaning requirements extend beyond traditional fiber testing. Each kit includes cleaning and inspection capabilities. Mullins noted that many technicians take shortcuts on fiber preparation.  “Cleaning and inspecting a fiber, every time you unplug it and plug it back in, adds, like another minute worth of work. But you know what? If you don’t do it, you’re gonna pay for it down the road,” he said. Cable identification a persistent challenge In addition to the new kits, Fluke Networks is also continuing to help solve other persistent networking issues. Physical cable identification continues to plague data center operations despite advances in network management and monitoring. Fluke’s solutions address this through multiple approaches. These include tone and probe technology, remote identification systems, and active network port discovery.

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Cisco ties storage networking gear to IBM z17 mainframe

“IBM Z systems are mainframes known for their ability to handle massive transaction volumes, support large-scale databases, and provide unmatched levels of security and uptime,” wrote Fausto Vaninetti, a senior solutions engineer for data center technologies at Cisco, in a blog post about the news. “The newest in the IBM Z system family, IBM z17 is the first mainframe fully engineered for the AI age, unlocking expanded capabilities for enterprise-scale AI, such as large language models, generative AI, and accelerated inferencing. However, the performance of mainframe applications depends on the underlying storage infrastructure.” SANs play a critical role in ensuring fast, reliable, and secure access to data, Vaninetti wrote: “For mainframe environments, which leverage high-speed [Fibre Connection] FICON protocol, having a robust SAN fabric that supports these requirements is non-negotiable. A solution that combines high throughput, low latency, and enterprise-class resilience is vital to ensure seamless operations and meet stringent service-level agreement requirements.” According to Vaninetti, some standout features of the MDS 9000 Series for mainframe environments include:

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Scaling Up: Tract’s Master-Planned Land and Infrastructure Approach to Data Center Development

With the rapid growth of physical data center infrastructure, it’s no surprise that a niche market has emerged for companies specializing in land acquisition. Reports of massive property purchases by firms planning new facilities appear almost daily—and so do accounts of the challenges developers face before the first shovel hits the ground. As parcel sizes grow and power and water demands intensify, the complexities of acquiring and preparing these sites have only increased. Tract is a leader in this space. The Denver-based company develops master-planned data center parks, with more than 25,000 acres of potential sites under its control and plans to support over 25 GW of workload capacity. To put that into perspective, 25,000 acres is roughly 40 square miles—about two-thirds the land area of Washington, D.C., or, for European readers, two-thirds the size of Liechtenstein. Building Shovel-Ready Megasites Rather than waiting for developers to come knocking, Tract takes a proactive approach, built on the core belief that the future of data center growth lies in pre-entitled, zoned, and infrastructure-ready megasites. The company works years in advance to deliver shovel-ready campuses with reliable energy, fiber connectivity, and municipal cooperation already in place. Its model emphasizes strategic land aggregation in high-growth regions, the cultivation of long-term relationships with utilities and governments, and master planning for power, cooling, transportation, and sustainability. This integrated approach positions Tract to deliver both speed and certainty to hyperscale project developers—at scale. Tract’s leadership team brings deep industry experience. Founder and Executive Chairman Grant van Rooyen previously led acquisitions and expansions at Cologix and Teraco. President Matt Spencer brings more than 35 years of telecom and infrastructure leadership, while Chief Energy Officer Nat Sahlstrom, former head of Amazon’s global energy, water, and sustainability teams, helped make Amazon the world’s largest buyer of renewable energy. Backed by

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When Communities Push Back: Navigating Data Center Opposition

2025 has been a landmark year for data center development. The rise of the AI Factory and AI-driven data center designs has made announcements of massive new complexes routine, with claims and certainties that these facilities will require hundreds of megawatts of power scarcely raising an industry eyebrow. At the same time, opposition is becoming more organized, often forming unexpected alliances. Even in an era of clear political alignment around certain causes, blocking data center projects has emerged as a bipartisan concern among voters. In the past several months, as data center projects in the gigawatt range have been announced, significant behind-the-scenes opposition has been building, from local grassroots organizations to state legislatures crafting new guidelines for data center development. Rising Community Opposition In 2025, multiple communities across the U.S., from Northern Virginia to Indiana, Texas, Arizona, Georgia, and Alabama, have effectively organized to challenge proposed data center developments. Some campaigns have already succeeded in delaying or derailing projects, while others are still building momentum. A report from Data Center Watch, covering the period from May 2024 to March 2025, estimates that billions in data center investment have already been affected by local resistance: $18 billion in projects were blocked, and another $46 billion faced delays. Whether these trends will represent a lasting constraint on the AI-driven data center boom remains unclear, but one point is certain: organized community action has become a central front in the debate over digital infrastructure in America. The Data Center Watch report also identified 142 activist groups across 24 states actively opposing data center projects. While opposition is largely local in focus, the nature of the concerns has remained relatively consistent, with activism often coalescing quickly into organized groups (such as the Coalition to Protect Prince William County, No Desert Data Center, and Protect

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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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