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Ministry Of Transport Announces Cancellation Of Preliminary Approval For Electric Vehicle Orders

Deadline Expired For Order Submissions

The Ministry of Transport, Communications, and Works, Department Of Road Transport, has announced that the submission window for ordering electric vehicles has closed. Beneficiaries who received preliminary approval via email on December 11, 2025, have missed the deadline to post or send their vehicle orders, as outlined in paragraphs 9.3(a) and 10.3(a) of the relevant project guide. Consequently, if no order was posted for new vehicles or received for used models, the preliminary approval has been cancelled due to the missed deadlines (please refer to Appendix 2). This Cancellation will affect all pending applications.

Rescheduling And Reallocation Of Approvals

In response, preliminary approvals will be reissued during the upcoming week to selected applicants from Sponsorship Categories D5, D7, D8, D9, and D10. These approvals will be allocated based on the lottery sequence as specified, and the beneficiaries must adhere to the designated submission timelines provided in the approval message.

Detailed Distribution By Sponsorship Categories

For each sponsorship category, preliminary approvals will be sent to applicants within the following lottery positions. The approved candidates must post an order (for new vehicles) or send an order (for used vehicles) within the allotted time frame as detailed in the subsequent approval notification:

  • Category D5: Lottery positions 381 to 483
  • Category D7: Lottery positions 41 to 57
  • Category D8: Lottery positions 41 to 46
  • Category D9: Lottery positions 51 to 66
  • Category D10: Lottery positions 11 to 13

Documentation And Submission Deadlines

Applicants are required to submit all specified supporting documents to the Department of Road Transport via email at tomxorigies@rtd.mcw.gov.cy within the time frame stated in the approval message. The guidelines for the required documentation depend on the respective sponsorship category.

Implications Of Inaction

It is imperative that beneficiaries act within the specified deadline. Failure to comply will result in the reallocation of approvals to the next eligible candidates based on the lottery ranking. For further clarity, please refer to Appendices 1 and 2, which provide additional details and visual references of the process.

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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