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Electric Vehicle Subsidies in Cyprus: Urgent Calls for Government Action

The Motor Vehicle Importers and Electric Vehicle Association (Semio) has urgently called upon the Transport Ministry for immediate action concerning the ongoing hurdles with electric vehicle (EV) subsidies in Cyprus.

Semio expresses its concern, warning that any further delays could exacerbate financial strain on its members and heighten consumer dissatisfaction. A formal meeting with the Transport Minister is on the agenda to clarify the government’s position on the subsidy program.

Uncertainties and Impacts

The sudden stop of the EV grant scheme has stirred worry among car importers and potential buyers, leaving stockpiles of electric vehicles in limbo. This unexpected pause in government-backed support has echoed across the industry, with numerous consumer complaints surfacing.

Amid these events, there’s also the broader backdrop of the Cyprus government’s decision to reallocate funds within the national Recovery and Resilience Plan (RRP), aiming to stay aligned with EU financing requirements.

A Call for Dialogue

Despite the ministry’s assurances of pursuing additional funding and maintaining alignment with national energy objectives, Semio criticizes the lack of communication and urges consultation before implementing changes.

On a related note, Cyprus faces challenges in achieving its ambitious EU-mandated goal of registering 80,000 electric vehicles by 2030. The road ahead appears daunting unless a cohesive strategy is adopted.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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