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Cyprus Loses 167,000 MWh Of Renewable Energy In 2024 Amid Lack Of Storage Solutions

Cyprus wasted a staggering 167,000 megawatt hours (MWh) of renewable energy in 2024 due to insufficient storage infrastructure, leaving MPs and solar panel owners frustrated as electricity bills continue to rise.

Members of the Parliamentary Committee on Commerce, Industry, Energy, and Tourism expressed their dismay over the significant loss of energy, which could have been utilized during periods of peak demand. The lack of planning for energy storage infrastructure has left the country’s renewable energy potential untapped, with no clear strategy from the government on how to store and distribute the surplus energy generated from renewable sources.

The committee criticized both the government and key agencies, including the Electricity Authority of Cyprus (EAC) and the Ministry of Energy, for their lack of coordination. Committee Chairman Kyriakos Hadjiyiannis from the Disy party blasted the authorities for their “absolute absence of policy,” accusing them of misleading citizens into investing in solar panels without ensuring the necessary grid and storage infrastructure was in place to support it.

Akel MP Costas Costa echoed this frustration, pointing out that many areas of Cyprus can no longer accommodate additional solar power due to grid limitations. “People who installed solar panels to save on energy costs are now facing electricity bills of €300-400, compared to €60-70 just two months ago,” Costa said, blaming past decisions for the ongoing crisis.

MPs have called on the government and the EAC to provide answers on when grid upgrades will allow the full integration of solar power. Despite plans for a storage system covering large solar parks, it remains unclear when households will benefit from the system. The committee also urged for a digital tracking system for photovoltaic (PV) applications to ensure greater transparency.

In response, Dipa MP Michalis Giakoumis accused the government of dishonesty, describing the situation as “borderline fraud” and demanding a roadmap for energy storage to prevent further losses of renewable energy.

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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