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Shipping Companies Urged To Prioritise Safety In Strait Of Hormuz

Increasing Concerns Over Seafarer Safety

International Maritime Organisation (IMO) Secretary-General Arsenio Dominguez has issued a stark warning: no commercial or operational consideration can justify exposing seafarers to danger. This alert comes as vessels continue to transit the strategic Strait of Hormuz without credible security guarantees, despite well-documented risks.

Known Risks Demand Careful Evaluation

Dominguez said shipping companies should carefully assess the risks associated with operating in the area. Recent incidents involving deaths, injuries and detentions of seafarers have highlighted the security challenges facing commercial shipping routes in the region.

Responsibility And Accountability In Voyage Planning

According to the IMO chief, responsibility for voyage planning and risk assessment ultimately rests with shipowners, operators and vessel masters. He stressed that decisions affecting crews should be based on safety and security considerations and supported by appropriate risk management procedures. Protecting seafarers, he added, must remain a priority when evaluating operational plans.

A Call For Stakeholder Responsibility

In a final appeal, the IMO chief urged all maritime stakeholders to act with the highest levels of responsibility. Every measure must be taken to avoid actions that place innocent civilian seafarers at unnecessary risk. As the industry navigates these challenging conditions, the preservation of life remains the overriding priority.

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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