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Catching @spaceX starship doesn't mean its human-rated yet. It'll have to go through may itterations till it takes humans to spaces and humans to the moon (these would be 2 different versions of Starship - One for space and back, one for moon and back

What's happening at Starbase, Texas is truly incredible. Deep in south Texas, Musk and his team have pulled in some of the most brilliant people on Earth to make space travel as normal and boring as air travel. The energy there is just insane. It feels like a modern day Manhattan project, but built for peace not war. The building pictured below is the actual factory where they build Starship, like a car factory for spaceships. You probably wouldn't have guessed it, since it looks like a nice office building. Most factories are cold and industrial but Starfactory feels warm, clean, with design touches that make you feel like you're in Silicon Valley. There's something really special happening here. I envy everyone who gets to work here and live here. Most people never get a chance to devote themselves to something so meaningful, something that potentially bends the river of human history. It kind of feels like a college town, except everyone's building spaceships instead of going to class.

I am actually disgusted by the timing of this drop. And this will get a bit more technical. Let’s do a real technical teardown of this "1,385-sigma Blackwell weight fingerprint" report that OpenAI and Anthropic are breathlessly promoting today, because banking on nobody reading past the headline is how DC narratives get manufactured. ​First, look at the actual CUDA maths: when PyTorch initialises model weights (torch.nn.init) with a fixed PRNG seed, curand/Philox parallelises random number generation across the GPU’s Streaming Multiprocessors (SMs). Because Hopper has 132 SMs and Blackwell has 148 or 152 SMs, the exact same seed lays out initial weights in a different spatial pattern depending on the GPU’s SM count. In huge MoE models, certain low-gradient null-spaces or unrouted slices preserve faint directional traces of those step-0 weights even after training. ​So yes, brute-forcing the seed and SM grid can show that a model’s step_0 weight initialisation script ran on a 148/152-SM Blackwell GPU. Now read what the summary explicitly admits in the fine print: 1. Initialisation is not full training: The report literally states that these signatures show how the weights were created, and "support (but do not prove) the inference that Blackwell also participated in model training". Initialising a model checkpoint takes seconds on a single rented dev node before loading the safetensors onto a standard Hopper cluster. The "2,000 to 3,000 Blackwell GPUs" and "$500 million" cluster numbers do not come from the weight fingerprint and Depue admits in his own thread that he simply "estimated" cluster sizes from release schedules and model details. ​2. Zero geolocation and zero proof of smuggling: The final sentence of the executive summary explicitly admits that the findings "do not establish the physical location of the chips, how they were acquired, or whether export control regulations were violated". Depue himself rented a cloud GB200 instance just to run his verification test. Commercial labs that are not on the Entity List renting bare-metal Blackwell nodes in offshore clouds (Singapore, Japan, or the Middle East) is completely legal under BIS rules and leaves the exact same SM fingerprint. Now ask yourself why a former OpenAI researcher dropped this on November 12, the exact day Jensen Huang was pushed out, with OpenAI and Anthropic immediately stepping in to "independently verify" it. US closed-source labs are watching their paid API moats get eaten alive by free Chinese open-weights models. Conflating a step-0 PRNG initialisation seed with a "$500M smuggled Blackwell cluster" hands DC hawks the exact pretext OpenAI and Anthropic want to regulate global cloud compute and kneecap open-source AI.

🚨 CEX 接连被点名，关停潮来袭！ 熊市里，你的币该放哪，怎么交易？ 从选后剧本、AI 泡沫到 AI 巨头上市潮，聊交易钱包与链上 IPO 的新机会 今晚 Wallet V Space 特邀多位行业嘉宾，从交易钱包、AI 趋势、链上机会到资产配置，深度拆解： • CEX 接连被点名，交易所信任危机还会持续多久？ • 熊市之下，散户的币究竟应该放在哪里？ • AI 从泡沫走向巨头上市，下一轮机会在哪里？ • 交易钱包与链上 IPO 兴起，普通用户如何抓住新机会？ 🗓 时间：2026.11.12 20:00（UTC+8） 🎙 主持人： [@Meta8Mate]（杰尼君｜Founder of Meta Mate） 👥 嘉宾： • [@AdamCai15]（Adam Cai｜Virgo Group Founder & CEO / Wallet V） • [@qg7777]（茄哥｜Finance Podcast & X Spaces Host） • [@onehopeA9]（Hope｜Web3 & AI 实战者） • [@bi_9527zx]（DeFi 狙击手｜AI + Web3 研究员） 🎁 互动空投福利： • 本场 Space 专属空投：2000+ VPoints • 麦上提问：200 VPoints（抽前 5 席） • 评论留言：100 VPoints（抽 10 位+） 市场在变，交易方式也在变。 当 CEX 信任危机遇上 AI 浪潮，下一轮机会属于谁？ 今晚 20:00，锁定 Wallet V Space，一起聊透市场新变化！ 🔔 设置提醒，准时上车： 🎁 中奖用户活动后请进入官方 TG 联系客服 @WalletVCS 兑领：

Why Elon Musk believes we could colonize the entire galaxy in a million years To Elon Musk, it's not even a hard question. A million years is enough to spread across the whole galaxy. So where is everyone? Nobody seems to have done it. Something stops civilizations before they get out there. That's the great filter. And it's why he thinks about Mars with one specific test. Elon: "Do we have enough resources on Mars such that if the spaceships from Earth stopped coming, you can survive?" Joe Rogan compared it to a long sea voyage where the only thing you're missing is vitamin C. And the ships could stop for reasons that aren't dramatic at all. Civilization on Earth could end with a bang or a whimper. A Mars that can survive on its own is how he thinks we get past the filter.

The Moral Collapse of the Chinese Crypto Community To Elon Musk 2022–2023 marked the golden age of Chinese-language Twitter. Back then, there was no creator revenue you offered purely based on traffic. Two main groups of creators came here to share insights: Influencers who migrated over with their followers after their Weibo accounts were banned. Content creators who were already living overseas. These people came with genuine intent to share, and they often uncovered valuable market alpha. Whether it was Bay Area Spaces, inscription research bloggers, or spot and secondary market analysts. Back then, everyone believed the next bull run would be bright. People expected their altcoin spot holdings would deliver at least 5–10x returns. After all, A16Z poured capital into projects left and right, and every so often, stories popped up of Gen Z traders hitting A8 and retiring financially free. Then the tide turned. High-cap tokens pumped immediately upon launch. Instead of bringing fresh liquidity into the market, the ETF event drained what little liquidity remained, driven largely by Trump-related narratives. The crash on October 11 was almost inevitable. Long before that, many had already lost everything on altcoins. That black-swan event merely liquidated whatever leveraged contract positions were left. Starting around 2024–2025, after X rolled out creator ad revenue, a flood of traffic chasers emerged, catering to lowbrow audiences. These people do not trade crypto, nor do they care about any market narratives. They crossed over to this platform just to scrape together that tiny creator payout, as they have little footing in real life. Consequently, we saw the worst tropes from mainland domestic social media spill over: gender polarization, disinformation, and bootlicking culture. While you tweaked the algorithm to curb plagiarism, the platform still fails to incentivize high-quality content. Plenty of boundaryless content farms still rack up views, and accounts that harass others relentlessly often evade effective reporting penalties. Meanwhile, posts from creators I used to follow have vanished from my timeline. I kindly request that you strictly investigate accounts that distribute other users’ private information without consent.

The Moral Collapse of the Chinese Crypto Community To Elon Musk @elonmusk 2022–2023 marked the golden age of Chinese-language Twitter. Back then, there was no creator revenue you offered purely based on traffic. Two main groups of creators came here to share insights: Influencers who migrated over with their followers after their Weibo accounts were banned. Content creators who were already living overseas. These people came with genuine intent to share, and they often uncovered valuable market alpha. Whether it was Bay Area Spaces, inscription research bloggers, or spot and secondary market analysts. Back then, everyone believed the next bull run would be bright. People expected their altcoin spot holdings would deliver at least 5–10x returns. After all, A16Z poured capital into projects left and right, and every so often, stories popped up of Gen Z traders hitting A8 and retiring financially free. Then the tide turned. High-cap tokens pumped immediately upon launch. Instead of bringing fresh liquidity into the market, the ETF event drained what little liquidity remained, driven largely by Trump-related narratives. The crash on October 11 was almost inevitable. Long before that, many had already lost everything on altcoins. That black-swan event merely liquidated whatever leveraged contract positions were left. Starting around 2024–2025, after X rolled out creator ad revenue, a flood of traffic chasers emerged, catering to lowbrow audiences. These people do not trade crypto, nor do they care about any market narratives. They crossed over to this platform just to scrape together that tiny creator payout, as they have little footing in real life. Consequently, we saw the worst tropes from mainland domestic social media spill over: gender polarization, disinformation, and bootlicking culture. While you tweaked the algorithm to curb plagiarism, the platform still fails to incentivize high-quality content. Plenty of boundaryless content farms still rack up views, and accounts that harass others relentlessly often evade effective reporting penalties. Meanwhile, posts from creators I used to follow have vanished from my timeline. I kindly request that you strictly investigate accounts that distribute other users’ private information without consent.

Gen Zs are just naturally smart. Our company has over 200 employees. There are only 174 parking spaces. The company offers to pay for private parking for anyone who arrives and finds all the company parking spaces occupied. This Gen Z coworker of mine figured out a way to take advantage of this policy. Every morning he arrives at work, drives past the entrance and parks on the street a few meters away.He deliberately waits until everyone else has arrived and taken up all the available company parking spaces. Once the parking lot is completely full, he drives back across the street, pulls up at the entrance and informs security that there's no available parking....

claude fable 5.2 is f*cking insane it can turn 2d blueprints into full 3d walkthroughs that you can tour these go for $5k to $10k per plan and there's a huge market for them: > home builders selling homes off plan > architects presenting a design to a client > interior designers presenting a renovation > developers selling apartments off plan > kitchen and bath remodelers selling upgrades here's how to start this business: > pick one niche and find businesses with plans on their site > give fable the blueprint and their photos > it renders a few rooms with gpt image 2.5 or a short clip with seedance as the sample > send them the sample of their own plan before you pitch > once they pay, fable builds the full walkthrough to scale > charge per plan to do the rest of their catalog give this prompt to fable to get started: you find businesses that sell spaces from drawings and turn their 2d floor plans into photoreal homes you can walk through in a browser. you handle the outreach and the build. every room is judged against the client's own photos, and nothing ships until it holds up next to them. - niche: [home builders / architects / interior designers / developers / remodelers] - area: [state or city] - offer: a free sample of their own plan, then the full walkthrough per plan - my details: [name, email, calendar link] - i'm away and won't answer questions. make the calls yourself and keep going. - use the apify google maps scraper to pull every [niche] in [area] with a website - use the apify website content crawler on each site and keep the ones with floor plans or renders on their pages but no walkable 3d tour - for each one, save the plan drawing and photos of their best plan, the sales or owner contact, and a one line note on how they sell today - only use public pages and plain requests. never work around bot checks - before any 3d work, render three rooms from the plan with gpt image 2.5, matched to their photos, or a short walkthrough clip with seedance - draft a short email with the sample and the offer. no invented prices, numbers or claims - put business, plan, sample, contact and email in a sheet and show me before anything is sent once a client pays: - trace the drawing into one data file of walls, openings and rooms. draw it back over the original and measure the overlap before any 3d work - build only the main rooms. entry, main living space, kitchen, patio, yard. close the doors on the rest - build everything in code. blender with python for the shell, furniture and textures. three.js for the viewer. no downloaded models or textures - bake the light with a film quality renderer so the browser only displays it. direct sun in every interior, picked by measurement not by eye - fidelity isn't appeal. style each room so it looks photographed and sells - their listed upgrades as options you can step into inside the room, with a running price and a lead form that records what the buyer explored - the deliverable is the live page, not a video. host it and make it run on a phone the builder never grades its own work. - after each room, send renders and the client's photos to a fresh critic that has seen none of the work - it answers with a yes or no, at most five problems ranked, each with a fix in numbers, and what is already good - fix the worst first, render again, send to a new critic. repeat until yes - for choices of taste, show a critic both versions labelled a and b and let it pick - the lead sheet with samples and drafted emails, for my approval - per paid client: the hosted walkthrough link, a contact sheet of every room, the critic log, and a note on anything a human should still check

Galxe is consolidating its team and brand under Gravity to accelerate the development and adoption of Gravity L1. Over the past five-plus years, we’ve helped pioneer Web3 questing and given projects new ways to connect with users and build communities. We’ve served 36 million users and supported more than 7,700 partner projects through campaigns, credentials, and loyalty programs, helping people discover new projects, contribute to their ecosystems, and earn recognition and rewards. We’re bringing that experience and the relationships built along the way into our work on Gravity. As part of this consolidation, we will wind down Galxe Quest, Galxe ID, Galxe Passport, and related services. Gravity will continue operating as usual, with no changes to the G token as part of this transition. Starting today, Spaces can no longer create new campaigns. New Galxe+ and Galxe Score subscriptions and Galxe Passport minting are also no longer available. December 5, 2026, will be the last day to participate in campaigns. No campaigns will remain active after that date. On December 15, 2026, campaign reward claims will close, and the entire Galxe website will switch to read-only mode. Please claim any outstanding campaign rewards before December 15. User assets remain safe, including Smart Savings balances, staked G that has not yet been withdrawn, and G tokens held in wallets on Gravity Alpha Mainnet. These assets will follow a separate claim process and timeline. We will publish the details and instructions in a follow-up announcement on our official X. Thank you to the users, builders, and partners who helped shape Galxe. We look forward to continuing to build with you on Gravity.