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Vatican to Silence Mobile Networks: The Papal Conclave Commences

In an unprecedented measure, the Vatican will deactivate all mobile phone signals this Wednesday, preceding the secretive conclave to elect the next pope, as confirmed by Italian state media. This deliberate cut is ensured through the deployment of signal jammers around the Sistine Chapel, safeguarding the conclave from external communication or surveillance attempts, as reported by ANSA News.

The conclave gathers 133 cardinals tasked with selecting the successor of Pope Francis amidst the world’s vast Catholic demographic, estimated at 1.4 billion. As signal blackout begins at 3 p.m. local time, the Vatican confirms the cardinals’ arrival in Rome in preparation to proceed with this medieval-rooted election process.

The isolation is comprehensive: all cardinals relinquish their digital devices to maintain absolute secrecy. Though St Peter’s Square will not experience the same communications blackout, heightened security in the area will include checkpoints and anti-drone precautions, as detailed by Corriere della Sera.

As with the conclave of 2013, signal blockers are crucial to maintaining the protocol, effectively ensuring no communications breach from inside the locked corridors of the Vatican. Even support personnel such as electricians, plumbers, and elevator operators vow to uphold confidentiality during their tenure, according to a statement from the Vatican City State Governorate.

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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