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Cyprus Accelerates Natural Gas Strategy With ExxonMobil Partnership

Advancing Offshore Energy Capabilities

Cyprus is set to bolster its position as a key player in offshore energy with plans to intensify natural gas drilling in blocks 5 and 10. In a strategic meeting at the Presidential Palace, President Nikos Christodoulides discussed future drilling programs and an expanded collaboration with ExxonMobil, signaling a robust drive towards energy development and self-sufficiency.

Substantial Reserves And Refining Estimates

During the high-level meeting, President Christodoulides emphasized that gas reserves in the Glaucus and Pegasus deposits of block 10 may range between 6 and 9 trillion cubic feet. ExxonMobil Vice President John Ardill explained that further drilling on the Pegasus field will narrow these estimates. “We have sufficient quantities to move forward with development,” Ardill stated, highlighting the potential for significant returns.

Deepening Strategic Partnerships

The fruitful partnership between the Cypriot government and ExxonMobil has already marked significant milestones. From the initial discovery of the Glaucus field in 2019 to confirming substantial reserves in the Pegasus field in 2025, both parties are now focused on comprehensive assessments to guide future development strategies.

Steps Toward Commercial Viability

At the forefront of the discussion was ExxonMobil’s plan to secure a Declaration of Marketability by the first half of the upcoming year, laying the groundwork for definitive engineering designs and a final investment decision. If current projections hold, commercial production could commence between 2030 and 2035, positioning Cyprus as a significant contributor to regional energy markets and aiding in the mitigation of energy costs.

With renewed drilling activities resuming in January 2025 after a prolonged pause, Cyprus and ExxonMobil are forging a pathway that could reshape the island’s energy landscape through diligent planning, technical excellence, and strategic global partnerships.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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