🚨 BREAKING NEWS: Fully autonomous AI-controlled drones killed humans for the first time. They were operating without any human oversight. In a historic and highly controversial milestone for warfare, fully autonomous AI-controlled drones operating without human oversight have successfully executed lethal battlefield strikes in Ukraine. The watershed moment occurred during a localized test near Bakhmut and Chasiv Yar, where ten AI-powered 'Terminator' quadcopters were launched with a mandate to sweep a specific area and destroy any targets they encountered. Alexander Kokhanovskyy, a drone developer who supplied the technology, revealed that the drones were programmed to fly disconnected from human pilots, operating completely 'out of the loop.' After the mission, human-piloted reconnaissance drones dispatched to verify the area confirmed multiple casualties, including enemy soldiers and a vehicle. While Ukraine's Ministry of Defence has not officially commented and officially restricts AI from selecting and engaging targets at the final strike stage, the test represents the most direct evidence yet of battlefield deaths executed strictly by machine algorithms. The ethical and legal implications of this development have ignited fierce international debate. United Nations Secretary-General António Guterres has repeatedly called for a global ban on lethal autonomous weapons, warning that removing human judgment from the use of force dehumanizes conflict and threatens fundamental international law. While military experts note that fully autonomous missions remain rare and that keeping humans 'in the loop' remains more militarily effective for now, rapid technological advancements are challenging global regulations. As governments and private defense firms quietly push for more lenient rules on AI engagement, humanity edges closer to a reality where machines, rather than commanders, determine who lives and dies on the battlefield. source: Sparkes, M. (2026). Fully autonomous drones have killed human soldiers for the first time. New Scientist.

CNN = Owned by a right-wing billionaire. CBS = Owned by a right-wing billionaire. FOX = Owned by a right-wing billionaire. WaPo = Owned by a right-wing billionaire. WSJ = Owned by a right-wing billionaire. Ah yes, tell me more about how the mainstream media is “far left.”

JD Vance: “If you’re born in this country and your parents were not U.S. citizens then you should be deported.” Grok: “There is no evidence that Usha Vance’s parents were U.S. citizens when she was born in San Diego in 1986.”

For the first time since the 1930s, more people are moving out of America than are moving in. People are leaving for other countries in droves.

My office has seen the devastating impacts this policy has had on my constituents since it started. People have lost jobs, healthcare, and been put in unnecessary limbo. Today a judge ruled what we have all known from the start — this pause was illegal and arbitrary. USCIS must start adjudicating immediately.

A group of U.S. states, including California and New York, are preparing to file a lawsuit to block Paramount's acquisition of Warner Bros. (Source: reuters.com/world/us-states-…)

Every voter should ask themselves why this ok.

Dang Martina McBride, you done messed up.

AMERICA IS BACK Rally!

- Trump Crime Family acquired 23 trademarks in China. - Involved in $640 million in payoffs related to the White House. - Received $2 billion in questionable funds from Saudi Arabia. - Engaged in a $400 million deal for a jet from Qatar. - Obtained $6.35 million in PPP loans. - Kushner's shell company channeled $1.2 billion in campaign funds directly to the Trump family.

Prices since Trump took office: Fuel oil 44.2% Orange juice 25% Gasoline 18.9% Coffee 18.7% Ground beef 17% Airline fares 14.9% Tobacco 7.4% Natural gas 6.4% Hospital services 6.4% Auto repair 6.1% Nonalcoholic drinks 4.7% Electricity 4.6% Dining out 4.3% Fruits & vegetables 4.0% Household costs 4.0% Restaurants 3.8% Apparel 3.4% Medical care 3.1% Rent 3.0% Everything’s going up. Your paycheck isn’t. Are you feeling it?

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

UPDATE: Trump deleted this post