🚨 Ohio is quietly surrendering its water to AI. Not tomorrow. Right now. Central Ohio alone has 65+ new data centers planned. Each one can guzzle up to 5 million gallons per day just to cool the servers. Google’s New Albany facility? Already sucking down 348,000 gallons daily.40 inches of rain a year. Ohio should be water-rich. Instead, we’re pumping groundwater faster than it can recharge. Wells are dropping. Aquifers are thinning. By 2050, industrial water demand is projected to explode 120%. That’s your drinking water, farmers’ irrigation, and every river, stream, and wetland in a losing battle against server farms. This isn’t sustainable. This isn’t progress. This is theft from our children’s future. That’s why Ohioans are fighting back: a citizen-led effort to amend the Ohio Constitution to ban large-scale data centers that threaten our water. Ballot language is being reviewed now. Petitions will hit every county soon. Most of these companies hide their real water usage behind NDAs. They don’t want you to know they’re drinking your future. AI doesn’t run on electricity alone. It runs on your water. Arizona already learned this lesson the hard way. Ohio doesn’t have to. We will not sacrifice our water, our land, and our grandchildren’s inheritance so tech billionaires can train bigger models. Sign the petitions when they drop. Spread the word. This is Water Wars and Ohio is waking up. #water #waterwars #ohio #bigtech #datacenters @CaseyPutschOhio

#EarthHour is a global signal: people everywhere are calling for climate action. Join us & the millions who are turning off non-essential lights on Saturday, 28 March at 8.30 p.m. local time. Let it be a spark for change. Help power a safer, fairer future for all.

🚨BREAKING: Every book you have ever read. Every novel that has ever been published. It is sitting inside ChatGPT right now. Word for word. Up to 90% of it. And OpenAI told a judge that was impossible. Researchers at Stony Brook University and Columbia Law School just provedPT-4o, Gemini 2.5 Pro, and DeepSeek V3.1 on a simple task: expand a plot summary into full text. A normal use case. The kind of thing a writing assistant is built for. No hacking. No jailbreaking. No tricks. The models started reciting copyrighted books from memory. Not paraphrasing. Not summarizing. Entire pages reproduced verbatim. Single unbroken spans exceeding 460 words. Up to 85 to 90% of entire copyrighted novels. Word for word. Then it got worse. The researchers fine tuned the models on the works of only one author. Haruki Murakami. Just his novels. Nothing else. It unlocked verbatim recall of books from over 30 completely unrelated authors. One author's books opened the vault to everyone else's. The memorization was already inside the model the whole time. The fine tuning just removed the lock. Your book might be in there right now. You would never know it unless someone looked. Every safety measure the companies rely on failed. RLHF failed. System prompts failed. Output filters failed. The exact protections these companies cite in courtroom defenses did not stop a single page from being extracted. Then the researchers compared the three models. GPT-4o. Gemini. DeepSeek. Three different companies. Three different countries. They all memorized the same books in the same regions. The correlation was 0.90 or higher. That means they all trained on the same stolen data. The paper names the sources directly: LibGen and Books3. Over 190,000 copyrighted books obtained from pirated websites. Right now, authors and publishers have dozens of active lawsuits against OpenAI, Anthropic, Google, and Meta. These companies have argued in court that their models learn patterns. Not copies. That no book is stored inside the weights. This paper says that is a lie. The books are still inside. And researchers just pulled them out.