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Cyprus’ Financing Programme On Track Amidst Economic Optimism

by THEFUTURE.TEAM

Cyprus is advancing its annual financing programme efficiently, aligning closely with its fiscal targets for 2024. The approved borrowing ceiling stands at €1.3 billion, predominantly sourced from European Medium-Term Notes (EMTN). So far, Cyprus has successfully raised nearly €1.2 billion, including a recent €1 billion, seven-year fixed-rate bond issued in June.

The financing strategy also includes public treasury bills and domestic bonds aimed at individual investors. To date, €87.5 million of the targeted €120 million in treasury bills and €6.4 million of the intended €40 million in domestic bonds have been issued. Furthermore, Cyprus has secured €92.75 million in loans from supranational organisations, progressing towards the €140 million goal.

Public treasury bills, set to mature in October 2024, offer an annualised yield between 3.65% and 3.75%, presenting an attractive option for non-professional investors and businesses seeking secure liquidity management.

Sophic, a financial platform, plans to acquire a portion of the upcoming treasury bill issuance, replicating its strategy from June where it, alongside Athlos Capital, acquired over 80% of the €21.5 million issuance for client allocation.

Cyprus’ prudent financial management and structured approach towards funding reflect a robust fiscal framework aimed at maintaining economic stability and fostering investor confidence. This meticulous execution of the financing programme underscores Cyprus’ commitment to strategic fiscal governance and economic resilience, which are vital for sustaining long-term growth.

The ongoing success of Cyprus’ financing programme highlights the nation’s proactive fiscal planning and the effectiveness of its public debt management office. By securing diverse funding sources and maintaining investor engagement, Cyprus continues to bolster its financial stability and economic prospects.

As Cyprus progresses with its financing activities, the focus remains on sustaining fiscal discipline while leveraging favourable market conditions to optimise funding costs. This approach not only ensures the fulfilment of immediate financing needs but also lays a solid foundation for future economic resilience.

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

by News Editor

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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