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Cyprus Sees Robust Growth In Motor Vehicle Registrations Amid Shift To Hybrid And Electric

by THEFUTURE.TEAM

February 9, 2026

Cyprus commenced 2026 with solid momentum in its automotive sector, underscored by a marked 6.7 percent increase in motor vehicle registrations in January, according to data from Cystat. The positive figures reflect a deepening market transformation as consumers increasingly pivot toward cleaner, hybrid, and electric vehicles.

Market Performance Overview

A total of 4,350 vehicles were registered in January 2026, compared with 4,077 a year earlier. The figures point to continued demand across the sector, even as the industry adapts to changing fuel technologies and evolving mobility trends.

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Passenger Car Trends And Shifts

Registrations of passenger saloon cars increased by 4.5 percent to 3,317 units, up from 3,173 in January 2025. New vehicles accounted for 39 percent of registrations, or 1,294 units, while used cars made up the remaining 61 percent with 2,023 registrations. In contrast, rental saloon registrations declined sharply by 22.8 percent to 159 units.

Changing Fuel Dynamics

Fuel preferences also continued to shift. The share of petrol-powered passenger cars fell from 42.5 percent to 35.8 percent year on year. Diesel vehicles edged slightly higher, moving from 8.1 percent to 8.4 percent. Electric vehicles expanded their presence from 5.6 percent to 6.9 percent, while hybrid cars strengthened their lead, rising from 43.8 percent to 48.8 percent of new registrations.

Commercial And Two-Wheeler Segments

Activity was mixed in the commercial vehicle segment. Motor coaches and buses rose to 23 registrations from 7 a year earlier. Heavy goods vehicles increased by 43.8 percent to 69 units, while light goods vehicles grew by 16 percent to 471. Road tractors also recorded an 18.8 percent rise to 19 units. Rental goods vehicles, however, dropped sharply by 70 percent to just 3 registrations.

In the two-wheeler category, mopeds under 50cc declined to 6 units from 22, whereas motorcycles above 50cc climbed 13.5 percent to 387 registrations, up from 341 the previous year.

Overall, the data highlights a market that is gradually shifting toward cleaner mobility options while maintaining stable overall demand.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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.