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Wintermute is literally paying $10M a year to legally front-run everyone on Hyperliquid and it’s completely destroying altcoin liquidity Bloomberg finally exposed what HFT desks have been screaming about for weeks. Hyperliquid’s gossip priority auctions let top funds see incoming orders 50–60ms before anyone else on the network Look at how completely broken this setup is: -> One Wintermute wallet won ~76% of the top slots last month, burning ~$26k every single day just to starve out competition -> HL claims the auction is open to everyone. Complete BS. You only get that 60ms head start if you have direct peering with Foundation nodes, which requires 0.5% of total maker volume and 10k HYPE staked ($700k+) -> Smaller MMs are getting sniped nonstop and just unplugging their bots on alts -> Retail gets stuck with the bill: across 86 altcoin pairs, order book depth on HL imploded by 82% while spreads blew out from 2.13 to 3.55 bps Honestly, I don't even blame Wintermute. If I had their balance sheet, I would milk this exact loophole until someone forced me to stop The blame sits 100% on the protocol design. Burning auction fees is cool for $HYPE holders, sure, but letting one fund buy a monopoly on data speed turns a decentralized exchange into a rigged casino Scrap read-priority auctions completely or make the slots equal, because right now altcoin execution on HL is absolute garbage

Development of the Starbase supercompute site is creating an opportunity to address decades of environmental neglect. Portions of the property were used for unauthorized dumping dating back to the 1960s. We're undertaking cleanup efforts to remove decades of accumulated debris, including scrap metal, discarded appliances, old tanks, fiberglass insulation, construction materials, and thousands of illegally dumped tires

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.

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

Drawing an uncompromising direct parallel to commercial aviation, Elon Musk underscores why partial rocket reusability remains an incomplete economic solution for space logistics. While Falcon 9 proved that recovering first-stage boosters drastically cuts launch costs, discarding the upper stage on every mission is the capital equivalent of scrapping a commercial airliner after a single transcontinental flight. ✈️ Achieving 100% full and rapid reusability with Starship—recovering both the Super Heavy booster and the upper stage—drops the capital expenditure per mission near the marginal cost of propellant alone. 🚀 By converting orbital hardware into rapidly turn-aroundable transport infrastructure, full reusability fundamentally lowers the cost-per-kilogram barrier to orbit, turning spaceflight from an expensive luxury into an accessible, high-cadence commercial standard. 🌐⚡

Ceteris explains why crypto needs less venture funding than it used to. "We've literally built all the infra, and what people need to build now are the scrappy little app teams that honestly don't need a lot of funding."

JD Vance is right. The H-1B program is completely broken. “If you’re going to bring in an accountant making $45,000 a year to replace an accountant who is an American making $60,000 a year, that’s not you using the program to bring in a genius.” “That’s you destroying American jobs and defrauding the American people…” We need to scrap H-1B and start over.

TU AGENTE DE IA YA PUEDE EXTRAER DATOS DE CASI CUALQUIER WEB X, YouTube, Reddit, foros random, webs sin API… básicamente lo que necesites para research, análisis o monitoring. acaban de subir a GitHub 3 herramientas open source que le dan a tu agente ese superpoder. 1. Agent-Reach junta X, YouTube, Reddit, GitHub y más en un solo sitio. 2. Patchright Enhanced usa Playwright para escuchar peticiones de webs sin API y sacar los datos con un script. 3. Scrapling scraper de propósito general para cualquier página web. le dices qué datos necesitas → escribe el código → los recolecta → te da el resultado. ejemplos reales: "recoge los posts de 100 cuentas de X del último mes y dime qué temas están funcionando" "saca reviews de este producto en Reddit y YouTube y resúmeme las quejas principales" básicamente le das a tu agente la capacidad de sacar datos de casi cualquier lugar de internet. eso abre un nivel de automatización que hasta hace nada era impensable.