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SOCOM adds new advanced AI capabilities to tech wish list

U.S. Special Operations Command amended a broad agency announcement this week, adding additional AI and advanced autonomy capabilities to its technology wish list.
The move comes amid a broader modernization push by special ops forces and the Defense Department to add new digital tools and robotic platforms to their arsenal.
In a new subsection for “Advanced Autonomy and Artificial Intelligence,” the amended BAA for technology development noted that SOF is keen on “modular, open integration” of cutting‐edge solutions incorporating AI and machine learning to enable enhanced autonomy in unmanned systems.
“Specific areas of interest include but are not limited to agentic AI and vision language action (VLA) models to achieve more sophisticated autonomous behaviors like adaptive learning; neural radiance fields (NeRFs) for 3D scene representation and navigation; generative AI for simulation and data augmentation; advanced automatic target recognition (ATR) algorithms with edge node refinement and autonomous model retraining; advanced machine learning operations (MLOPs) to support data management, model training, validation, and monitoring,” officials wrote.
They noted that proposed solutions need to be designed with well‐defined interfaces and adherence to open standards to promote interoperability and integration into existing architectures.
Earlier this year, the command re-released its “SOF Renaissance” strategic vision, which observed that innovations in AI, autonomous systems and cyber tools are reshaping warfare and enhancing targeting and strike capabilities.
The document calls for commando forces to be early adopters of these types of technologies. SOCOM has been on the cutting-edge before as an early DOD user of the Maven Smart System, for example.
“The distinction between optimizing and generative AI is crucial and will be a game changer. Swarms of low-cost drones and remote explosive devices, using AI and autonomy, blur traditional human-machine boundaries on the battlefield. SOF must also use these systems to improve decisionmaking and situational awareness,” officials wrote in the strategy.
Vice Adm. Frank Bradley, the current commander of Joint Special Operations Command who’s been nominated by President Donald Trump to be head of SOCOM, said the use of innovative drone capabilities and tactics in places like Ukraine and the Middle East have ushered in a “revolution in military affairs.”
“The changing, accelerating pace of technology, the ubiquitous information environment, and the advent of man-machine teamed autonomy on the battlefields of the world today are absolutely changing the character of warfare … in our very eyes,” Bradley said last week during his confirmation hearing with the Senate Armed Services Committee.
He added that legislative proposals such as the FORGED Act and SPEED Act, and other initiatives to reform DOD acquisitions and speed up the fielding of new tech, are “critical to allowing us to use the innovative spirit of our operators to be able to capture those problems and opportunities we see on the battlefield and turn them into new man-machine teamed approaches.”
The amendment to the BAA comes just two weeks after the Pentagon’s Chief Digital and Artificial Intelligence Office announced the award of $200 million contracts to multiple vendors for “frontier AI” projects.
“The adoption of AI is transforming the Department’s ability to support our warfighters and maintain strategic advantage over our adversaries,” CDAO Doug Matty said in a statement accompanying that announcement. “Leveraging commercially available solutions into an integrated capabilities approach will accelerate the use of advanced AI as part of our Joint mission essential tasks in our warfighting domain as well as intelligence, business, and enterprise information systems.”
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How to create passive income in 2025 with AI

Artificial intelligence is no longer a futuristic concept; it’s a powerful tool that can be leveraged today to build scalable and sustainable passive income streams. In 2025, with AI becoming more accessible and sophisticated, the opportunities for automation and monetization are more significant than ever. Here’s a detailed guide on how to create passive income using AI.
1. AI-Powered Content Creation and Monetization
Content creation is one of the most accessible and effective ways to generate passive income with AI. The key is to use AI to handle the heavy lifting of production, allowing you to focus on strategy and quality control.
Blogging and SEO:
Automated Content Generation: Use AI writing tools like Jasper, Copy.ai, or a custom GPT to generate blog posts, articles, and guides on a massive scale. You can feed the AI a topic and a few keywords, and it can produce a well-structured draft in minutes.
SEO Optimization:AI tools can also help with keyword research, meta descriptions, and on-page SEO. This ensures your content is not only abundant but also optimized to rank highly on search engines, driving organic traffic and passive ad or affiliate revenue.
Affiliate Marketing:Integrate affiliate links into your AI-generated content. Once the blog post is live and attracting readers, it can generate commissions from product sales with no further effort from you.
Faceless YouTube Channels:
Scripting and Video Production: AI can write engaging scripts for videos in a specific niche (e.g., finance, history, or self-improvement).
Voiceovers and Visuals:Use AI-powered text-to-speech generators like ElevenLabs for professional-sounding voiceovers. Combine this with AI video generators or stock footage to create compelling videos without ever showing your face or recording a single line of dialogue.
Monetization: Once your channel is established, you can earn passive income through YouTube’s Partner Program (ad revenue) and by including affiliate links in your video descriptions.
Selling AI-Generated Digital Products:
E-books and Planners: Use AI to write e-books on niche topics, or create unique digital planners and journals. You can then sell these products on platforms like Etsy or Gumroad.
Print-on-Demand (POD): AI image generators like Midjourney or DALL-E can produce stunning and unique art. You can use these designs on t-shirts, mugs, and posters and sell them through POD services like Printful or Printify. The platform handles production and shipping, making it a completely passive income stream after the initial design and setup.
2. AI-Driven E-commerce and Dropshipping
AI can automate and optimize every step of an e-commerce business, from product selection to marketing.
Dropshipping with AI: AI tools can analyze market trends to help you identify winning products to sell. They can also generate product descriptions and marketing copy, and even automate ad campaigns on platforms like Facebook and Instagram.
Automated E-commerce Stores: Platforms like Shopify offer AI-powered store builders that can get you up and running in a day. You can use AI to manage inventory, forecast demand, and provide personalized product recommendations to customers, all of which contribute to a more passive operation.
3. AI-Powered Services and Automation for Businesses
You can sell AI-powered solutions to other businesses, creating a recurring revenue model.
Building Custom Chatbots:Many small to medium-sized businesses need chatbots for their websites to handle customer inquiries, book appointments, or qualify leads. You can use no-code AI tools to build and deploy these chatbots and charge businesses a monthly fee for the service and maintenance.
AI-Powered Social Media Management: Offer a subscription-based service where AI tools generate and schedule social media content for clients. The AI can analyze their target audience and industry trends to create relevant and engaging posts, all with minimal input from you once the system is configured.
AI Consulting and Workflow Automation: As more businesses adopt AI, they’ll need help integrating it into their workflows. You can offer consulting services to help companies identify opportunities for AI integration, build custom automation workflows using tools like Zapier or Make, and charge a premium for your expertise.
4. Leveraging AI for Financial Strategies
AI can also be applied to financial markets to generate passive income.
Algorithmic Trading: While this requires a higher level of expertise, AI and machine learning are used to develop trading bots that can analyze market data and execute trades automatically. These bots can be configured to operate based on your specific risk tolerance and investment goals.
Predictive Analytics for Investment: Use AI to analyze market trends and predict potential growth areas. While this isn’t a direct income stream, it can guide your investment decisions and lead to significant passive returns over time.
The key to creating passive income with AI in 2025 is to see AI as a powerful partner that handles repetitive, time-consuming tasks. By building a system where AI does the work, you can create and manage income streams that require very little active involvement, ultimately freeing up your time and generating wealth.
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Artificial intelligence meets art in China with first robot PhD student

At the 2025 World Artificial Intelligence Conference held in Shanghai on July 27, a groundbreaking moment in AI history unfolded as a humanoid robot named Scholar 01, also referred to as Xueba 01, became the first AI in China to be officially admitted as a full-time PhD student.
Scholar 01, created by Professor Li Qingdu’s team at the University of Shanghai for Science and Technology, has been accepted into the PhD program at the Shanghai Theatre Academy — one of China’s top arts institutions, according to the South China Morning Post.
Scholar 01 is an advanced embodied AI built upon the previous success of the Walker II robot, which had earlier gained recognition by finishing third in the world’s first humanoid half-marathon in Beijing. The upgraded design incorporates the mechanical efficiency of Walker II and elements from the Rena humanoid platform, giving the robot lightweight, energy-efficient, tendon-based bionic movement.
The robot was produced by Zhuoyide Robotics, a company emerging from the university’s research into robotics and embodied intelligence. Its visual design and styling were led by Professor Yang Qingqing of STA, aiming to create a more humanlike appearance.
Scholar 01 stands 1.75 meters tall, weighs about 30 kilograms, and features a silicone-skinned face capable of expressive facial gestures. Dressed like a typical academic—with glasses, shirt, and trousers—the robot interacts in Mandarin and was designed to physically engage with people in an intuitive and humanlike way. Upon his formal admission to STA, he enrolled in a four-year doctorate program in Drama and Film, with a focus on traditional Chinese opera. Scholar 01 is scheduled to report to campus on September 14.
The project is part of a larger initiative at STA to fuse technology with the arts, exploring how AI might play a role in cultural and creative domains. According to Yang, when Xueba 01 performed the iconic “orchid fingers” gesture associated with opera legend Mei Lanfang, human students spontaneously mimicked the robot, describing the interaction as an “aesthetic exchange across species.”
Scholar 01 refers to himself as an “AI artist” and intends to use technology to reinterpret traditional performance arts. Potential career paths post-graduation include working as an AI opera director or launching his own robotic art studio.
However, reactions to the announcement have been mixed. Some welcomed the move as a milestone in human-robot collaboration, while others expressed scepticism. Critics questioned whether a robot, lacking emotional depth and lived experience, could truly understand and perform expressive arts like Chinese opera.
Concerns were also raised about resource allocation, with some noting that human PhD students often receive limited financial support, sparking debate over whether such investments in AI take away from human education.
By Nazrin Sadigova
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