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U.S. Military Expands Autonomous Drone Strategy With Shield AI

Transforming Modern Warfare With Swarm Intelligence

The United States Department of Defense is expanding its use of lower-cost autonomous military systems through a partnership with Shield AI. Part of the initiative involves integrating Shield AI’s Hivemind autonomous software into low-cost uncrewed combat attack systems, known as LUCAS drones, as the U.S. military increases focus on scalable and cost-efficient defence technologies.

Revolutionizing Battlefield Operations

Shield AI’s Hivemind platform is designed to coordinate autonomous drone operations and adapt to changing battlefield conditions in real time. Through the software, unmanned systems can operate independently, adjust tactics and carry out missions with reduced direct human control. Brandon Tseng, Co-founder and President of Shield AI, said the systems are intended to lower operational costs while reducing risks for military personnel.

Cost Efficiency And Strategic Edge

Growing reliance on lower-cost autonomous systems reflects broader changes across the defence sector as militaries seek alternatives to more expensive legacy equipment. LUCAS drones, produced by SpektreWorks, are priced at roughly $35,000 per unit and were designed as a cost-efficient platform for modern combat operations. U.S. defence officials are increasingly prioritising scalable, domestically produced systems to counter inexpensive unmanned technologies already used in conflicts across the Middle East.

Investment Surge And Future Prospects

Shield AI recently completed a funding round valuing the company at nearly $12.7 billion. The company has also appeared on CNBC’s Disruptor 50 ranking alongside other defence technology firms benefiting from increased investor interest in autonomous systems and artificial intelligence. Meanwhile, Anduril, backed by entrepreneur Palmer Luckey, recently increased its valuation to more than $60 billion. Tseng said AI-powered autonomous systems are expected to play a larger role in replacing traditional military platforms over the coming decade.

Advancing Autonomous Systems On A Global Stage

Shield AI’s Hivemind platform has already been deployed in operations involving Ukraine and the Indian Army. Upcoming military testing linked to the LUCAS programme is expected to begin within the next two months as the U.S. government continues evaluating large-scale deployment opportunities for autonomous systems.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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