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Cyprus Charts Bold Course Toward Energy Independence Amid Global Uncertainty

Cyprus is planning energy reforms aimed at reducing reliance on imported fossil fuels. Michalis Damianos, Minister of Energy, said energy independence is key to maintaining economic stability.

Prioritizing Energy Security In A Volatile Global Landscape

Damianos said energy security remains a national priority, speaking at the 16th Nicosia Economic Congress. Recent developments in the Middle East, including disruptions in the Strait of Hormuz and tensions involving Iran, have affected global oil and LNG markets. Rising energy costs are already impacting household spending.

Investing Strategically In Energy Infrastructure

Government plans focus on three main areas, including the completion of LNG import infrastructure. Officials said the project could reduce emissions by 25–30% and lower costs linked to emissions allowances. Energy storage projects are also under development under the Transmission System Operator to support grid stability and increase the share of renewable energy.

Modernizing The Grid For A Sustainable Future

Projects include the Great Sea Interconnector and the rollout of smart grid systems, including smart meters. Authorities plan to relaunch a home energy upgrade scheme in 2026 and introduce new grant programs for businesses to support energy efficiency and investment.

Immediate Relief And Long-Term Economic Benefits

The government has reduced excise duties on motor fuels and lowered VAT on electricity to address short-term cost pressures. From 2027, energy consumption is expected to decline by 1.9% annually under national targets. Damianos said businesses should use available investment tools, including the One-Stop-Shop framework.

Cyprus’s Strategic Energy Policies

Energy policy focuses on reducing import dependence and limiting exposure to external price shocks. Officials said current measures are intended to support long-term stability in the energy sector.

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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