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Redefining The Ranks: Trump Targets DEI, Transgender Troops, And COVID Dismissals

President Donald Trump signed a suite of military-focused executive orders on Monday, rolling back key policies tied to diversity, COVID-era dismissals, and transgender service members. These orders include reinstating troops discharged for refusing COVID-19 vaccines and eliminating Diversity, Equity, and Inclusion (DEI) programs across the armed forces.

Speaking from Air Force One en route to Washington, Trump’s directives signal a return to earlier policies, including a controversial stance on transgender personnel. One order declares that military standards must align with individuals’ biological sex, barring “invented” pronouns while leaving the status of current transgender service members uncertain. Advocacy groups, including the ACLU, have called the measures discriminatory and possibly illegal.

This policy shift builds on Trump’s 2017 attempt to ban transgender troops, a move later overturned by President Biden in 2021. While Trump cited concerns about costs and unit cohesion, critics argue these decisions sideline capable personnel in a military of over 1.3 million active-duty members.

Missile Defence And Historical Revisions

In addition to personnel policies, Trump signed an order aiming to create a U.S. version of Israel’s Iron Dome defense system. While ambitious, such a program would require years of development. Meanwhile, the Air Force announced the return of its Tuskegee Airmen training video, adjusted to align with Trump’s DEI rollback.

With sweeping changes underway, Trump’s actions reflect his broader vision for a streamlined, ideologically aligned military—though they’re already drawing sharp criticism from advocacy groups and political opponents.

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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