I am the Director of Voluntary Cessation at the Department of the Interior. Last month I paid a German company $1.2 billion to build nothing. Not a turbine. Not a wire. Not one kilowatt. $1.2 billion. For the absence. The company is RWE. They held leases off California. Off Louisiana. In the New York Bight. Wind farms were going there. Now they aren't. I made sure of that. We call it voluntary. It became voluntary when I made it impossible. I write the permits. I never wrote theirs. RWE said it kindly. "No path forward to permit these projects for the foreseeable future." I am the foreseeable future. Here is the part I like. The $1.2 billion did not go to a taxpayer. It went to RWE. We paid them to leave. Then they took the check and put $900 million into a gas terminal in Louisiana. We paid a company to stop making power. They used it to make a different kind. The check bought a fuel switch. I signed it. Somewhere a set of blades is already built. They point at a different ocean now. The ports that would have raised them can go back to waiting. An analyst asked me what the country got for $1.2 billion. I said "energy security." She asked which energy. I said "the secure kind." She asked to see the kilowatts. I told her that was not her lane. She stopped asking. I do not produce power. I have never produced power. I end the projects that would. My title is Voluntary Cessation. Cessation means stop. Voluntary means I get to call it their idea. The Germans are the second. In March it was a French company. Same handshake. Leases traded for an LNG plant in Texas. There is a line forming. I take a number. I pay it to leave. We call it common sense. We call the wind a costly subsidy. I just paid $1.2 billion to end the subsidy. The payment was larger than the subsidy. I am the subsidy now. On the invoice, under deliverables, I wrote one word. None. I came in under budget. I'm up for a raise. The lights those turbines would have carried are still off. They were always going to be off. That was the product.

The Pentagon awarded the USS Ford Carrier Group the prestigious Presidential Unit Citation for heroism as the warships finally returned home from two defining military missions. President Trump is also back in the nation’s capital after wrapping up his summit in Beijing, but uncertainty looms as the Iran war drags on with inflation rising. CBS News’ @olivialarinaldi has more.

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Xi Jinping, chairman of the Central Military Commission, has signed an order to commend Yang Yong from Troop 91548 of the People's Liberation Army. Yang was honored with a first-class merit citation in defense-related science and technology. #XiJinping#

A useful but little-known OpenAI API feature 📎 Users asking "where did the AI get that from?" and you can't easily show them? There's a built-in way to fix that. OpenAI's "Citation formatting" lets the model attach structured source citations to its output. A game-changer for trust and transparency in RAG and search-powered applications. 📌 Title: Citation formatting 🔗 URL: 🧩 Overview If an LLM's answer can't point to its sources, users won't trust it. Citation formatting automatically adds structured references to the model's output, showing which statements come from which source documents. This makes "evidence transparency" in RAG applications dramatically better. 🛠 How to use it Pass source documents in your input and enable citation formatting. The model generates its answer and automatically attaches references to the relevant sources. The output includes inline citation markers and structured source information, making it easy to render source links in your UI. 🏗 Building it into production ・RAG search apps: feed retrieved documents to the model, generate answers, and display source links alongside each statement. ・Internal knowledge bots: use company documents as sources and show exactly which document and section backs each answer. ・Legal and compliance tools: cite regulations and policy documents explicitly for auditability and trust. ・Education platforms: display citations from course materials so learners can check the original sources. 💡 Use cases 🔎 Cited answers in RAG applications 🏢 Evidence display for internal knowledge bases ⚖️ Legal and compliance document references 📚 Source attribution in educational content ⚠️ Watch out Citation accuracy depends on the model correctly identifying relevant passages in the sources. If sources are vague or too numerous, citation quality may drop. The quality and granularity of your source documents matter a lot. Also, citations don't guarantee 100% answer accuracy, so design your UI to let users verify the original source. ✨ "Can I trust this AI's answer?" is the biggest barrier to business adoption. Start with citation formatting in your RAG app and watch user confidence grow. #OpenAI# #LLM#