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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.

Moonshot’s Kimi K2: A Disruptive, Open-Source AI Model Redefining Coding Efficiency

Innovative Approach to Open-Source AI

In a bold move that challenges established players like OpenAI and Anthropic, Alibaba-backed startup Moonshot has unveiled its latest generative artificial intelligence model, Kimi K2. Released on a late Friday evening, this model enters the competitive AI landscape with a focus on robust coding capabilities at a fraction of the cost, setting a new benchmark for efficiency and scalability.

Cost Efficiency and Market Disruption

Kimi K2 not only offers superior performance metrics — reportedly surpassing Anthropic’s Claude Opus 4 and OpenAI’s GPT-4.1 in coding tasks — but it also redefines pricing models in the industry. With fees as low as 15 cents per 1 million input tokens and $2.50 per 1 million output tokens, it stands in stark contrast to competitors who charge significantly more. This cost efficiency is expected to attract large-scale and budget-sensitive deployments, enhancing its appeal across diverse client segments.

Benchmarking Against Industry Leaders

Moonshot’s announcement on platforms such as GitHub and X emphasizes not only the competitive performance of Kimi K2 but also its commitment to the open-source model—rare among U.S. tech giants except for select initiatives by Meta and Google. Renowned analyst Wei Sun from Counterpoint highlighted its global competitiveness and open-source allure, noting that its lower token costs make it an attractive option for enterprises seeking both high performance and scalability.

Industry Implications and the Broader AI Landscape

The introduction of Kimi K2 comes at a time when Chinese alternatives in the global AI arena are garnering increased investor interest. With established players like ByteDance, Tencent, and Baidu continually innovating, Moonshot’s move underscores a significant shift in AI development—a focus on cost reduction paired with open accessibility. Moreover, as U.S. companies grapple with resource allocation and the safe deployment of open-source models, Kimi K2’s arrival signals a competitive pivot that may influence future industry standards.

Future Prospects Amidst Global AI Competition

While early feedback on Kimi K2 has been largely positive, with praise from industry insiders and tech startups alike, challenges such as model hallucinations remain a known issue in generative AI. However, the model’s robust coding capability and cost structure continue to drive industry optimism. As the market evolves, the competitive dynamics between new entrants like Moonshot and established giants like OpenAI, along with emerging competitors on both sides of the Pacific, promise to shape the future trajectory of AI innovation on a global scale.

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