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Smart Meter Deployment Expands Across Cyprus: Enhancing Energy Infrastructure

The Electricity Authority of Cyprus started installing smart meters across multiple regions, requiring temporary power interruptions of about 20 minutes during each upgrade. Deployment is part of a broader effort to modernise the electricity network and improve energy consumption monitoring.

Upgrading The Nation’s Energy Grid

Installations in Nicosia cover residential areas east of Yiannos Kranidiotis Avenue, from Ayios Georgios Street to Alexander The Great Avenue. Additional works extend along Ayios Georgios and Demetris Stavrou Avenues in Latsia. These upgrades aim to improve grid reliability and enable more accurate measurement of electricity usage. Focus remains on areas with high residential demand.

Targeted Rollouts In Key Urban Centers

Works extend along both sides of the Nicosia–Limassol motorway, from Rizokarpaso Street and Eleftherios Venizelos Street to the Dhali industrial area. Areas including Helioupolis, Kallithea and the municipality of Tseri are included in the rollout. Coverage across these zones expands access to smart metering in densely populated corridors. This approach supports broader network integration.

Broadening The Network In Limassol And Larnaca

Installations in Limassol are concentrated within areas bounded by October 28th Avenue and Archbishop Makarios III Avenue, including Grivas Digenis, Gladstone and Anexartisia streets. In Larnaca, the rollout includes the Oroklini area. Expansion across these locations increases the share of households connected to the upgraded system. Deployment follows a phased schedule.

Expanding Benefits Across Famagusta And Paphos

Dherynia in the Famagusta district is included in the rollout, with installations planned in central areas and along Archbishop Makarios III and Stadiou Avenues. In Paphos, works cover areas in Yeroskipou between Archbishop Makarios III Avenue and Evagoras Pallikarides Street. Further expansion across districts supports nationwide coverage of smart meters. Implementation will depend on installation timelines and rollout progress.

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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