Cyprus Nears US Visa Waiver Program As Refusal Rate Drops Below 3%

by THEFUTURE.TEAM

November 28, 2024

Cyprus has achieved a significant milestone in its efforts to join the US Visa Waiver Program, with the 2024 visa refusal rate for Cypriot citizens reported at just 2.16%. This figure, announced by the US Department of State, is well below the program’s required threshold of 3%, marking a crucial step toward visa-free travel for Cypriots.

Progress Towards Inclusion

Deputy Minister to the President, Irene Piki, highlighted the importance of this development, stating that Cyprus has met a “key prerequisite” for its inclusion in the program. She credited the progress to successful technical consultations between Cyprus and the United States over the past year.

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Piki reaffirmed the government’s commitment to securing Cyprus’ inclusion in the program by 2025, allowing Cypriots to travel to the US for tourism and business without the need for a visa.

Support from US Officials

US Ambassador to Cyprus, Julie Fisher, also acknowledged the milestone, describing it as a significant step forward. She expressed optimism that Cypriots would soon enjoy the benefits of visa-free travel to the US.

What’s Next?

The Cypriot government plans to continue its focused efforts to meet all remaining requirements, ensuring the process stays on track. This achievement underscores the growing cooperation between Cyprus and the US, paving the way for stronger ties and easier travel.

As Cyprus moves closer to this goal, the prospect of visa-free access to the US represents an important development for both business and leisure travellers.

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Meta Unveils 816 Billion-Parameter AI Model For Mac, But It Requires 1TB Of RAM

by THEFUTURE.TEAM

October 16, 2026

Meta has introduced what it describes as the most capable open-weight AI model available in the United States, making a strategic bet on Apple’s Mac ecosystem. The release reflects the company’s ambition to strengthen its position in open AI while bringing advanced models into professional development and creative workflows.

A Powerful Model With High Hardware Requirements

Called Muse Spark Open, the model has 816 billion parameters and a context window of 1 million tokens. Meta said benchmark results published on Thursday show it outperforming other widely used open-weight systems across key evaluations.

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Natively multimodal, Muse Spark Open is designed for complex coding and agentic tasks, extending beyond conventional chatbot use. However, local deployment requires substantial computing power. According to Engadget, the model needs at least 1TB of RAM, with the best performance expected on a Mac Studio equipped with Apple’s M5 Ultra chip. These requirements may limit local use to developers and organisations with access to high-end hardware.

Built For Real-World Development

Meta has paired Muse Spark Open with Muse Code, its AI coding terminal, and tested it across agentic workflows. In one project, the model helped develop a Mastodon client, handling bug fixes, new features and the build process.

The company also deployed the model in DaVinci Resolve, the professional video-editing platform, where it reviewed and cropped footage. These examples demonstrate Meta’s aim to position open-weight AI as a tool for practical production work, from software development to creative tasks, rather than just research demonstrations.

The Strategic Case For Open-Weight AI

Open-weight models give developers and organisations greater flexibility to customise AI, integrate it into internal tools and build specialised workflows. Depending on deployment, they can also reduce costs and provide more control over infrastructure than relying entirely on proprietary services.

However, access to model weights does not eliminate the cost of running advanced AI. Muse Spark Open’s reported memory requirements could make API access a more practical option for many developers than local deployment.

Expanding Access Beyond Mac Hardware

Meta is making Muse Spark Open available through multiple API platforms, allowing developers to use the model without running it on their own machines. This broadens access beyond users with high-end Mac hardware while retaining the option of local deployment for those able to support it.

The release combines Meta’s push to strengthen its position in the open-weight AI ecosystem with a focus on professional users. Wider adoption will depend on the model’s performance, practical usefulness and the resources required to run it.

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