Sam, a 22-year-old orthopedic surgeon student from India, generated significant revenue by creating an AI influencer named Emily Hart. He used Google's Gemini to design a conservative nurse with Jennifer Lawrence's appearance, posting content on Fanvue and Instagram. The account quickly amassed over 10,000 followers and millions of views, though Sam eventually shut it down after Facebook flagged it for undisclosed AI generation.
Meanwhile, the military is aggressively integrating AI into warfare and command structures. The Pentagon is testing Palantir's Maven Smart System during its 2026 conflict with Iran, compressing targeting decisions from days to seconds. Anthropic's Claude AI was initially integrated for translation but was blacklisted by the Department of Defense on March 4th as a national security risk.
Google is responding to the agentic AI era with new specialized hardware. The company is launching the TPU 8i for reasoning and planning, and the TPU 8t for training complex models on massive memory pools. This infrastructure aims to support AI agents that can execute multi-step workflows quickly, a shift that requires substantial computational power.
Financial commitments to autonomous systems are reaching record highs. The Pentagon has requested $54 billion for its 2027 budget to fund autonomous drones and remotely operated systems across all domains. This funding supports established players like Anduril and startups such as Neros, Skydio, and Powerus, marking a major pivot toward AI-powered war.
Environmental concerns are mounting as AI drives nearly 50% of projected global electricity growth by 2030. Data centers consume vast amounts of water for cooling, with some facilities using up to five million gallons daily. Experts advocate for decentralized water treatment and solar power to prevent infrastructure from competing with families for drinking water.
Education institutions are adapting to combat AI cheating in the classroom. Colleges like Cornell and the University of Pennsylvania are implementing oral exams where students must explain their work verbally to instructors. Some programs even use AI-powered oral defenses where a voice-cloned professor asks questions from home to verify genuine understanding.
Organizations are seeking guidance to manage the disruption of AI adoption. Kotter has launched a 2.5-hour course titled 'Leading Change in the Era of AI' to address the skills gap, noting that nearly 60% of enterprise leaders struggle with integration. The curriculum combines behavioral science with Kotter's research to help leaders overcome resistance and build agility.
Key Takeaways
["Sam, an Indian medical student, earned revenue by creating an AI influencer named Emily Hart using Google's Gemini, which posted conservative content on Fanvue.", 'The Pentagon requested $54 billion for its 2027 budget to fund autonomous drone and remotely operated systems.', "Palantir's Maven Smart System is being tested in the 2026 war with Iran to compress targeting decisions from days to seconds.", "Anthropic's Claude AI was integrated into military systems but was blacklisted by the Department of Defense on March 4th as a national security risk.", 'Google is launching the TPU 8i and TPU 8t specialized chips to support the agentic AI era and multi-step workflow execution.', 'AI is projected to drive nearly 50% of global electricity demand growth by 2030, straining water resources for data center cooling.', 'Colleges are adopting oral exams to prevent students from cheating on assignments with generative AI tools.', 'Kotter launched a course to help leaders navigate AI change, addressing the difficulty faced by 60% of enterprise leaders.', 'Israel utilizes AI systems like Lavender and Habsora to prioritize physical strike targets and identify militants.', 'The Pentagon established the Defense Autonomous Warfare Group to absorb previous initiatives and accelerate development of autonomous systems.']Indian med student makes millions with fake MAGA influencer
A 22-year-old orthopedic surgeon student from India named Sam created an AI model called Emily Hart to earn money for his schooling. He designed Emily as a registered nurse with Jennifer Lawrence's looks who posts conservative political content, including anti-abortion views and support for stricter immigration laws. Sam chose this niche because he believes older conservative men have higher disposable income and are more loyal to such messages. The account gained millions of views quickly, with posts reaching 3 to 10 million views per reel. Sam later shut down Emily's Facebook account in February because it was flagged for fraudulent activity since it was not disclosed as AI-generated.
Indian med student earns thousands using AI-generated MAGA influencer
Sam, a 22-year-old aspiring orthopedic surgeon from northern India, used an AI chatbot to create a conservative influencer named Emily Hart to make extra money. He presented Gemini with several options, and the chatbot suggested the MAGA niche as a cheat code because conservative audiences often have higher disposable income. Sam created Emily as a registered nurse who looks like Jennifer Lawrence and posted photos of her ice fishing, drinking beer, and shooting rifles with pro-Christian captions. Within a month, Emily gained over 10,000 Instagram followers and generated significant revenue on the OnlyFans competitor Fanvue. Sam spent only 30 to 50 minutes a day creating content and claimed he was making good money for a medical student in India.
AI systems reshape modern warfare tactics and targeting
The United States is testing a large-scale AI-driven military system called the Maven Smart System during its 2026 war with Iran. This platform, developed by Palantir and based on Project Maven, compresses targeting decisions that once took days into seconds. The system integrates mapping data to give commanders a live view of the battlefield and uses machine learning to classify objects and recommend strike options. Anthropic's Claude AI was integrated to translate intelligence reports but was blacklisted by the Department of Defense on March 4th as a national security risk. Israel also uses AI systems like Lavender and Habsora to select and prioritize physical strike targets and identify militants.
Conversational AI changes military command and training
Murielle Delaporte discusses how conversational artificial intelligence is transforming military training and command relationships across allied militaries. These tools, built on large language models, allow officers to ask questions in natural language and receive structured responses in near real time. The systems can ingest operational plans, doctrine, and logistics databases to present syntheses like briefings and risk matrices. This approach aims to accelerate the OODA loop by augmenting observation and orientation while supporting decision-making. However, experts warn that adopting these tools without careful consideration could hollow out the autonomy of subordinate commanders and the primacy of human judgment in mission command.
Google launches specialized TPUs for the agentic AI era
Google is introducing two specialized Tensor Processing Units called TPU 8i and TPU 8t to support the agentic era of AI. TPU 8i is designed to enable AI agents to reason, plan, and execute multi-step workflows quickly for a good user experience. TPU 8t is optimized for training and can run complex models on a single massive pool of memory. Along with their full-stack purpose-built infrastructure including networking and data centers, these chips create the engine for highly responsive agentic AI. Google states that these technologies will allow them to bring advanced AI capabilities to the masses.
Pentagon requests $54 billion for autonomous drone warfare
The Pentagon has requested $54 billion in its 2027 budget for autonomous and remotely operated systems across air, land, and sea domains. This funding represents a major pivot toward AI-powered war and is over half the entire defense budget of the UK. The Defense Autonomous Warfare Group, a newly created Pentagon department, has absorbed a previous Biden-era initiative to develop autonomous systems. Established players like Anduril and startups such as Neros, Skydio, and Powerus stand to benefit from this funding. Some experts suggest the money could be better spent on Ukrainian drone producers who make cheaper drones in greater volumes than US startups.
AI data centers face environmental challenges and solutions
Artificial intelligence is driving nearly 50% of the projected growth in global electricity demand by 2030, with data centers consuming vast amounts of water for cooling. A large data center can use up to five million gallons of water per day, comparable to a town of 10,000 to 50,000 people. Experts suggest strategies like using smaller distilled models, solar power paired with battery storage, and closed-loop recycling systems to make AI more sustainable. However, the industry is stuck in a 100-year-old infrastructure mentality that pipes water miles to centralized plants. The future requires decentralized water treatment on-site to stop data centers from competing with families for drinking water.
Colleges use oral exams to stop students from cheating with AI
College professors are turning to oral exams to combat the rise of generative AI in student assignments. At Cornell University, biomedical engineering students must speak directly to an instructor in an oral defense without any technology. Educators worry that students are losing critical thinking skills because they can produce perfect written work but cannot explain their ideas. At the University of Pennsylvania, instructors pair oral exams with written papers to ensure students actually understand the material. Some universities are also using AI-powered oral exams where a voice-cloned professor asks questions from home to test knowledge. This shift aims to prevent cheating and restore cognitive capacity in the classroom.
Kotter launches course to help leaders manage AI change
Kotter has launched a 2.5-hour interactive course called Leading Change in the Era of AI to help organizations integrate AI initiatives successfully. The course addresses the skills gap where nearly 60% of enterprise leaders report difficulties with AI adoption. It combines behavioral science with Kotter's five decades of research to help leaders neutralize resistance and unlock organizational agility. Participants will learn to identify where AI creates the greatest disruption and apply Kotter's 8 Accelerators for Change to overcome barriers. The goal is to build an ROI-focused blueprint for driving measurable momentum on AI-enabled ways of working.
Sources
- MAGA influencer revealed to be AI model
- Indian med student rakes in thousands with AI-generated MAGA hottie
- How AI is rewriting the rules of modern warfare
- Conversational AI and Intent Based Command: Training at the New Frontier of Command
- We're launching two specialized TPUs for the agentic era.
- Pentagon asks for $54bn in pivot towards AI-powered war
- AI data centers are becoming more eco-friendly. Here's how
- Perfect homework, blank stares: Why colleges are turning to oral exams to combat AI
- Kotter Launches Leading Change in the Era of AI Course to Build AI Skills and Turn Workforce Disruption Into Strategic Advantage
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