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First @tedlieu. Now @RepGraceMeng. Both Taiwanese American Democrats. The racial cover isn't even subtle. Rep. Grace Meng calls the @nvidia chip sales a "five alarm fire" and demands full transparency. Fine. Let's start with her. Let voters see how the Washington machine really works. The checks: Three @AnthropicAI employees gave her $17,000 this cycle. The PAC of Americans for Responsible Innovation (@americans4ri) added $2,000. The same donors: Those same three Anthropic employees also funded ARI's PAC—$85,000 in total. One gave Meng $3,000, then nearly $1M to Public First, an AI super PAC network. The same operative: ARI and Public First share a founder: former Democratic congressman Brad Carson (@bradrcarson). Anthropic gave Public First Action $20M, and Dario Amodei (@DarioAmodei) added $1M of his own. The same agenda: Two days after the midterms, ARI led 52 groups urging Democrats to hand out committee chairs based on AI safety positions. The seat and power: With Democrats taking the House, ARI is pushing hard for Grace Meng to chair the Commerce, Justice, Science (CJS) Appropriations subcommittee— the panel that funds the Department of Commerce (@CommerceGov). Commerce runs AI chip export controls and @NIST's AI safety work: Anthropic's top two priorities in Washington. Now she's going after NVIDIA—Anthropic's fiercest rival on export controls—and Commerce, the very agency she'll fund. Same donors. Same operative. Same agenda. Same subcommittee. No law needs to be broken. Interests find power. Power finds interests. That's the five-alarm fire. The real one. Congresswoman, you asked for full transparency. Here it is.

Aishah Sofey had to reassure Mr. Kim and her chat that she wasn’t quitting streaming and that she still loved it after Mr. Kim approached her at TwitchCon, saying he was about to text her and offer her some advice after seeing the clips of her talking about quitting. “That’s so nice. I’ve had a lot of this. I’m not quitting; I love it, and I’m here having so much fun.”

The girl in this video turned 18 on the streets of Kensington. She smokes fentanyl off tin foil and pays for it with dates, $50 to $100 a day. Her name is Sedona. She hates every date she goes on. She says if she gets clean, she wants to be a nurse, because she likes helping people. In the video below she describes her 18th birthday. "It was just like a normal day." How did it start? She tore her ACL in a bike crash and got prescribed Percocet. When pills on the street got too expensive, she switched to dope because it was cheaper. Where's her family? Her grandma kicked her out. "I don't really have parents. They're addicts too." School? She made it to junior year. She once got three months clean. Her grandma got her into rehab, and she started playing ice hockey. She was a goalie. Two weeks before this interview, she relapsed. How else does she make money? Asking for change on the train. Stealing. On a day without a date, she makes $5 or $10. What are the men like? "Some of them are just lonely men. None of them are fun." Why does she smoke it instead of snorting? She likes the taste. The worst thing she's seen out there: someone stabbed to death. "I still think about it to this day." People on the block tell her all the time that she's too young to be there. Her three wishes: to get sober with no cravings. A ton of money. And a PC for Fortnite. She's 18, so on paper every choice is hers now. Is she a kid who never had a chance, or an adult who has to own this?

An American porn actress says a single shoot in Madrid involved 80 men and nearly a liter of semen. She counted 122 ejaculations, followed by another 10 onto her face. The night before, she had sat across from the director asking about pay and medical testing. He answered by opening a spreadsheet. In the interview below, she describes how the production was organized, from recruiting performers to deciding when she could take a break. According to her, the studio maintained a roster of around 300 men in Madrid. Getting onto it required a referral. Test results fed into the spreadsheet so the crew could track who was cleared to participate. The men could earn more depending on the shot they delivered. She says she was given three medications before filming, including one she describes as a muscle relaxant. Nine women worked as fluffers. Their waiting room had pink furniture and candy on the table. Outside, the men lined up while her videos played on a television. The shoot followed a repeating schedule: ten ejaculations into her mouth, swallow, then another ten. After fifty, she took a break and recorded an interview before returning. One assistant held a bowl beneath her chin to catch whatever spilled. She says the role even had a name: “scooper.” Amid all that coordination, she remembers one man missing and quietly apologizing. “I’m so sorry. I’m so sorry.” For the final sequence, she requested ten men instead of the usual five. Then the director addressed the group in Spanish. One word caught her attention: “ojos.” Eyes. Afterward, she asked whether he had instructed them to aim at her eyes. He denied it. According to her, he had repeated something she mentioned over dinner - that she didn’t mind and the men interpreted it differently. She has since referred other American performers to the production. “I’ve sent them so many Americans.”

Dylan Patel says Alice Huang was telling everyone on WeChat she could get them Nvidia chips in China, and Jensen probably knew "I actually don't think she's a spy in the colloquial sense. And I don't think she's a honeypot in the colloquial sense. She is a well-connected individual in the Chinese, you know, business world and family." "And if you're well connected in China, if you're well connected in America, you will talk to intelligence agencies when they tell you to." [ The CIA was asking me for your personal phone number and I had to tell him to take a hike. ] "She was clearly like showing everyone on WeChat she is close to Jensen and can get them chips in China. Jensen, did he know? Probably." "But like Super Micro didn't have to honeypot Jensen to ship billions of dollars of servers to China, right?"

MY PAYCHECK WAS SUPPOSED TO BE $4,000. INSTEAD, $50,000 HIT MY BANK ACCOUNT. I reported it to HR the next morning. Twenty minutes later, the CEO walked into the office, locked the door and said something that made my blood run cold. "I was beginning to think nobody here was honest." I've worked for this company for six years. My regular paycheck is $4,000. So when I checked my banking app on payday and saw a $50,000 direct deposit, I knew something was wrong. I didn't spend it. I didn't transfer it. I didn't even tell my coworkers. The next morning, I walked straight into HR. ME: "I think there's been a payroll mistake." HR: "What kind of mistake?" ME: "My paycheck was $50,000." She stopped typing. HR: "How much?" ME: "$50,000. My usual paycheck is $4,000." She stared at me for several seconds. HR: "Have you moved any of it?" ME: "No." HR: "Not even a small amount?" ME: "It's not my money. Why would I touch it?" She slowly closed her laptop. Then she asked a question I wasn't expecting. HR: "Did you receive a notification about the payment?" ME: "Of course. That's how I noticed it." She picked up her phone and made a call. I couldn't hear the person on the other end, but I heard her say: "He's here. And he hasn't touched it." She ended the call. ME: "What's going on?" HR: "How much do you know about the company's payroll system?" ME: "Nothing beyond checking my paycheck." She stood up, walked to the office door and closed it. HR: "Listen. You're not the first person to receive that amount." My stomach tightened. ME: "What do you mean?" She turned her computer towards me. There were eleven employees on a payroll report. Every single one had received a $50,000 payment. ME: "Eleven people?" HR: "Yes. You're the only one who hasn't moved the money." ME: "What happened to the others?" Before she could answer, someone knocked. Two firm knocks. Her face changed. Then a man's voice came from outside. "Open the door. We need to talk about those eleven payments." It was the CEO. 🧵

Judge: Ma’am, you need to leave this courtroom and return properly dressed. Woman: Properly dressed for what exactly? Walking up to a podium for two minutes? Judge: Properly dressed to appear before a court of law. This is not a gym, and it is not your living room. Woman: I’m here to handle my case, Your Honor, not walk a runway. I didn’t think yoga clothes were going to become the issue. Judge: The issue is respect. Respect for this court, for these proceedings, and for the people in this room. Woman: I do respect the court. I just don’t respect pretending workout clothes are somehow offensive. Judge: I’m not going to stand here and argue with you about basic courtroom decorum. Woman: I’m not arguing either, sir, but this is ridiculous. I’m fully covered, I’m on time, and I’m here for my hearing. Judge: And yet instead of listening, you’re challenging the court at every turn. Woman: Because nobody told me there was some invisible fashion rule attached to showing up. Judge: Common sense is not an invisible rule, ma’am. Woman: So now this is about common sense? Judge: One more word and I will hold you in contempt. Woman: … Judge: That’s what I thought. You may step out, change into something appropriate, and come back when you’re prepared to conduct yourself properly. Woman: So I’m being sent home over clothes? Judge: No, ma’am. You’re being sent out over your attitude and your clothes. Woman: …Understood. Judge: Good. Bailiff, escort her out. We’ll recall the case when she’s ready to respect the courtroom.

if you want to automerge thousands of pull requests , this is how she does it (via @poteto). 809 in june. 10,926 in october. merged prs a month that touch the grok bot team's code. i went through her posts and put the setup in one place. every pr still gets an agentic risk review plus bugbot. low- and medium-risk ones automerge. only higher-risk ones get a person. day to day, in her words, it's just grok bot and cursor projects. she used to have more cursor automations and replaced them with slack bots that have routines. she works on many streams in parallel with pstack: perf, bug fixes, agent-friendly refactors, her own skills, features, ui polish, the harness, release and observability. not from sitting in a review inbox. she's said the speed gains come from parallelizing. a single chat can take longer because of verification. she handholds it less, so she can run several large projects at once. the real setup is in the codebase and the checks around it. she treats the codebase as memory. every agent mistake needs to turn into a constraint. her team built their own framework for grok bot so some anti-patterns become hard to write at all. agents have to verify their own work. they run the app, and can sometimes model it in tla+. they produce screenshots or video that are easier to check than the whole pr. formal verification skills and ordinary run-and-debug skills work together. she calls this an inverse pyramid. push as much as you can into determinism (fuzzing, property tests, formal and runtime verification, stricter languages) instead of spinning up more agent swarms. in her oct 6 post, she tells sandcastle, a grok team bot, to cut. it runs a buildkite dry run, dms every pr author (they can object), kicks the build, and watches it. then it starts a fuzz swarm: usually 10+ agents on grok 4.7 xhigh, some directed, some chaos monkey, using their verification skills and feature map. when something is high priority, she tells sandcastle to @ mention poteto, her engineer bot, which then spins up a cursor project to triage and fix. her team ships a new stable version of the client at least once a day. that's a lot of machinery under "just grok bot and cursor projects."