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Terafab will be built in Grimes County, Texas In April, we broke ground on our research fab on the North Campus of Giga Texas – the precursor to Terafab. Both Tesla & SpaceX will need far more chips than current & future global production can supply. This is why we're building the largest chip manufacturing facility ever, with the goal of producing over 1 terawatt of compute per year The future is built in Texas

Milton Friedman said we can't have free immigration and a welfare state He was wrong Turns out that if you create pathways for illegal immigrants to vote, then actually, 100% of the time you INEVITABLY end up with both a welfare state and free immigration Because incentives determine actions Whichever politicians realize they can essentially use taxpayer dollars to fund welfare to import voters will exploit this hack ruthlessly 1. Offer welfare 2. Allow illegal immigration 3. Let illegal immigrants vote (they will 100% of the time vote for more welfare) 4. Win office 5. Raise taxes, offer more welfare, repeat It's a self-reinforcing feedback loop Allowing illegal immigrants to count in the census and vote cements this loop Literally only 12 states require proof of citizenship to register to vote. Look it up. It's horrifying. That is why 15m illegal immigrants came across the border in 4 yrs. It is game theory the only smart thing to do This ends in disaster

Ladies and gentlemen, it's time to pass the torch and demote myself to my natural state: a poster. I'll be stepping back from leading product for 𝕏 and will continue on as an advisor. Serving the X community has been the privilege of a lifetime. X is, and will remain, the most important communication technology in history. But running this app is a 24/7 job and it's now time for me to take a breather. The app is seeing unprecedented growth in new users & engagement. We continue to break records every month. We've climbed 70 spots in the App Store since this time last year. And in the last 400 days, we rebuilt almost every aspect of X: the Timeline, the Android app, onboarding, notifications, chat and more. We also launched nearly 30 new products while protecting the integrity of the town square: becoming the first app to show Country-of-Origin on profiles and mounting defenses against AI bots. There's certainly much more work to be done, but our foundation is stronger than ever. None of this would have been possible without the incredible team here. The next leaders will take X to even greater heights with @benjitaylor on design, @singhai on core product engineering and @dinkin_flickaa on mobile engineering -- among many other great people. Thank you to Elon and the X team for welcoming me into the company. See you on the Timeline.

Introducing Prime Agent: A self-improving RLM harness for coding and long-running autonomous tasks. Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.

So here’s how America ended up with Ilhan Omar and Learing Centers. The rebels in Somalia overthrew the Marxist dictator in January 1991 and then they started killing each other over who got to rule next. General Mohamed Farah Aideed and Ali Mahdi Mohamed both claimed the presidency, and then from November 1991 to March 1992, the two sides slaughtered an estimated 14,000 people in Mogadishu (the capital) alone. The clans united to remove Barre, but they failed to replace him with anything functional. And so, Somalia has been a failed state for 35 years and Minnesota has welfare fraud.

分享下最近低价 GPT Codex 的来源(源头) 最近泛滥就是因为这个源头下场卖货然后一堆倒卖的 plus7 元 plus 6 元 5x 95 元 20x 160 元（这家 Plus 掉订阅比较多） xin 渠道散客买不到太低价格 代理 Plus 8 元左右 chong 这个渠道不是源头，也是流传最久的渠道 价格散卖 5x 110 元 20x160 左右 @gptnocard_bot tg 机器人 20x 大概 60 元左右 plus 零成本（机器人队列比较慢）被大家论坛熟知就是这个 bot 下场送 20x. 申明：上面链接与我无任何利益相关。 现在外面任何 Gpt 代充都是这个原理，别相信官方代充 ios 代充。这个方法已经从去年 12 月份流传至今了。可以说从去年 12 月份开始你们在外面找的代充都是这个渠道，都是狠狠赚了你们一笔，别不信。 原贴:

AMD and SpaceX both reported Q2 after yesterday's close. Nasdaq doesn't reopen for another 17 hours. On Binance, the verdict was in within minutes. 🔸 AMDUSDT ~US$525 → ~US$475. Beat on revenue, EPS and guidance. Missed on gross margin, 54% vs 56%. 🔸 SPCXUSDT ~US$126 → ~US$115. Revenue +92% YoY. Capex US$18.4B, over 6x a year ago. AI's seller and AI's buyer, marked down on the same question. Price discovery no longer waits for the bell.

Okay, the @VulcanBench results for Qwen3.8-Max are in, and it is not what I expected. First, for anyone new to VulcanBench, here's a quick TL;DR on the eval suite: 23 frontier-hard software engineering tasks taken from real merged OSS PRs, run in a Docker sandbox, 3 runs per task across all three of its effort levels. No puzzles, no random abstract stuff, all real things engineering teams would do with these models. It looks like Qwen3.8-Max has a major overthinking problem, it uses a LOT of tokens and is very slow, period, no other way to see it. My cost to run this benchmark was $126.25, to run the exact same eval suite with DeepSeek V4-Flash was only $13.60. This makes Qwen3.8-Max an insanely expensive model. The tasks Qwen genuinely can't solve fail at every effort level, extra reasoning didn't help. The regression is almost all in work it already handles: six tasks that low solves every single time account for 83% of the 26-point drop, three of them collapsing to zero. It's not losing the hard problems. It's losing the ones it already knows how to do. Since Qwen3.8-Max hit a lot of wall clock budget caps, I thought I'd share more about this. - VulcanBench caps both steps (50–200) and wall clock (5–60 min), each scaled by repo size. - This is aligned with how comparable harnesses bound agents, DeepSWE caps rollouts at 100 environment steps, sitting right inside my step range; Terminal-Bench enforces a per-task wall clock; SWE-bench Verified scaffolds typically allow 20–60 min per instance with 250–350 step limits. - Every model on my chart gets the identical budget, and Qwen is the slowest model I've tested at 20–25 min/task. Soooo... Alibaba positions Qwen3.8-Max as trailing only Claude Fable 5. But on the kind of real coding work engineering teams would actually throw at it, under a fixed budget, its best setting lands mid-pack and its default lands last, so common. If you want to optimize for accuracy, Grok 4.5 is the move. If you want accuracy per dollar, DeepSeek V4-Flash is hard to beat, heck it's 10× cheaper than Qwen and you get higher accuracy. Qwen just isn't in the game at this point, this is not a model I could see engineering teams using for daily coding work.

GitHub 上搜「赚钱项目」90% 是坑，有人扒了 100 个仓库筛出 10 个真能变现的 我挑三个最落地的说 ▸ Dify（15 万 Star）：无代码搭 AI 应用。找本地商家搭个客服机器人，把菜单价目表喂进去挂微信，收搭建费 3000 + 月维护费 500。十个客户就是月入一万 ▸ MoneyPrinterV2（3 万 Star）：自动生成短视频，输入主题出脚本配音剪辑。一个人管五个矩阵号，每天 15 条，跑出爆款挂带货链接 ▸ best-deals-bot：自动爬最低价生成文章嵌联盟链接，挂 GitHub Pages 免费托管。零成本被动收入 这三个的共同点：不是一键暴富脚本，是正经跑通的变现路径