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📍大井町@lesss37 また素敵なプライベートサウナみっけ🧖‍♀️ ロウリュウできるし、 体感だけど割と高温好きにはたまらない室温。 上から浴びれるシャワーも最高🚿 ポカリと水も頂けるし、手ぶらで🆗だから 仕事終わりまた行きたくなるなぁ〜 #サウナイキタイ# #サウナ# #lesss#

A trading platform becomes truly valuable when users can make better decisions without becoming dependent on it. That's an idea I've been considering while following @Hypesium. In Web3, platforms often compete by offering more features, faster execution, and access to additional markets. Those improvements can make trading more convenient. But there's another question I think deserves attention. Does a trading tool make its users more capable, or simply more dependent on its interface? Imagine someone who has spent months trading through a single application. They understand where to click, how to place orders, and how to navigate its features. But if that application suddenly becomes unavailable, can they still evaluate opportunities and manage their positions independently? If the answer is no, convenience may have created an unexpected weakness. Hypesium offers a Telegram-based trading workflow focused on the Elysium ecosystem, connecting activity across multiple launchpads. I see this as an interesting example of how specialized infrastructure can simplify market participation. However, I believe the strongest trading products should preserve user independence. Traders should understand the assets they hold, the networks they use, and the risks associated with their transactions. They should also know how to verify important information outside any single interface. This isn't an argument against trading bots. It's an argument for using them as tools rather than treating them as substitutes for knowledge. For me, @Hypesium is worth examining through this perspective because accessibility and independence should develop together. A convenient trading experience can save time. But genuine confidence comes from understanding the process well enough to operate without that convenience when necessary. The best infrastructure shouldn't make users feel trapped inside one workflow. It should make them more capable wherever they choose to participate. Would you trust a trading platform more if it helped you become less dependent on it?

Not every serious trader wants to spend the entire day staring at six monitors. That's one reason I find @Hypesium worth paying attention to. For years, sophisticated trading has been associated with complicated desktop terminals, multiple browser tabs, and dashboards filled with information. But Web3 participation doesn't always happen behind a desk. Sometimes you're commuting, traveling, working, or simply away from your computer when something important happens in the market. That creates an interesting design challenge. How much of a trading workflow can become mobile-friendly without sacrificing the information needed to make responsible decisions? Hypesium approaches this through a Telegram-based trading interface focused on the Elysium ecosystem, connecting users with trading activity across multiple launchpads. I think the significance of that approach goes beyond convenience. Telegram is already familiar to many crypto participants. Bringing trading interactions into that environment can reduce the need to constantly switch between applications. However, mobile accessibility introduces its own limitations. A smaller screen provides less room for detailed research. Notifications can encourage impulsive reactions. And the convenience of executing a transaction quickly doesn't necessarily mean the decision has been properly evaluated. That's why I believe mobile-first trading should be designed around clarity rather than simply maximizing speed. Users need enough context to understand what they're doing, even when they aren't sitting in front of a full trading setup. For me, @Hypesium represents an interesting example of how specialized trading infrastructure can fit into the everyday habits of crypto users. The opportunity isn't to turn every spare minute into another trading session. It's to make market access more flexible while preserving thoughtful decision-making. Because accessibility should expand a trader's options, not increase the pressure to act. Do you think Telegram-based trading could eventually become more practical than traditional desktop terminals for everyday Web3 users?

A client asks how many videos you’ve made. The one on the projector isn’t ready to leave the room That’s the scene I built for What Leaves the Room, my new video about @primus_labs. When the projector goes dark, “24 videos” stays on screen. I picked 24 as an example of a number someone could verify without asking for the footage The new Proof of Creation tasks in Primus Points check the video count your account reports on Hailuo, CapCut or Dreamina. Primus uses zkTLS so a verifier can check where that number came from. If a client wants to see what I can actually do, I’d still send them a reel If you want to try it, look under Agentic Ara in Primus Points. The browser extension is currently on v0.4.15 On the finance side, Primus revisited its AutoHoG benchmark on Nov 13. The idea is to group steps so the engine does less work on encrypted data. The team measured about 90 ms to compute a confidential transfer, with eight RTX 5090s handling over 210 of those computations per second. That’s the speed of the calculation. Settling the transfer is a separate step I’ve got Nov 21 marked as the scheduled end of Primus Epoch 2 on @KaitoAI. CoinMarketCap still labels PRIM as a preview, and I’m waiting for an official launch date

THE HIGH WAY OPENS Welcome home, Starship.. History has a new dawn, and it rose over Starbase today. After twenty-two hours aloft and fourteen silver circuits of our sleeping, shining Earth, Ship 42 came home. It fell through fire and cloud, turned upright with breathtaking grace, and settled into the waiting arms of the tower, the first time a starship returning from orbit has ever been caught! Yay! For generations, spacecraft came back to us as wreckage or relics. Today one came home whole, ready to rise again. Every heart that longs for the Moon and Mars just drew a little closer to it: a world where ships go up, come back, and fly once more, where the heavens become a highway rather than a wall. The first dream was simply to rise, to slip the bonds of Earth and touch the sky. But a single ascent is a moment; reusability makes it a road. What goes up and returns ready to fly again turns a heroic venture into a faithful rhythm, and a rare voyage into a way of life among the stars. Congratulations to you, @SpaceX and to every engineer, technician and flight controller who carried this dream through long nights and hard lessons. You have turned the impossible into the inevitable. You have extolled the name of God our Creator and his greatness. To him we give all the glory, honor and praise, he who opened the way to the stars for us to have more than a home. "He reached down from on high and took hold of me." (Psalm 18:16) @elonmusk 💯♥️ Video via @mattvanswol

Having multiple research tools is useful, but the experience becomes much better when users can access them without constantly switching between different platforms. Consider how a Solana trader researches a new token. They might start by checking its market activity, investigate the wallets involved, examine token distribution and look for possible risks before making a decision. Each step provides a different piece of information, but they all contribute to the same research process. This is where @StonkwatcherSF’s planned website restructure becomes interesting. The team is working on improving the website’s navigation and making its features easier to discover. The new landing page is also expected to showcase the broader Stonk Watcher ecosystem, including its products and mobile application. I think this is a meaningful direction because Stonk Watcher is aiming to bring different parts of crypto research closer together. Token discovery helps users find opportunities. Wallet tracing provides more context about the people and addresses behind transactions. Market analysis and risk indicators help users examine what is happening before deciding where to focus their attention. These tools become more useful when they fit into one connected workflow. The mobile app adds another layer by making research and safety features more accessible beyond the desktop experience. Of course, a redesigned website alone doesn’t guarantee a better product. Navigation needs to be intuitive, information needs to be reliable and the different features need to work smoothly together. That’s what will determine whether this restructure makes a real difference. I believe good product development is not just about adding more features. It’s also about making existing tools easier to find, understand and use. The goal should be simple: less friction, better access to information and a smoother research experience. That’s the progress I’ll be watching from @StonkwatcherSF. @StonkwatcherSF $STWC

In 2015, AI hallucinating was the whole point. 🌀 This is DeepDream, running on VGG16. You hand a neural network an image and tell it to exaggerate whatever it thinks it sees. Then you make it do that over and over, each pass building on the last. 🔁 It finds eyes and creatures everywhere 👁️ because it learned to see from ImageNet, a dataset of 1,000 categories packed with animals (about 120 are dog breeds alone 🐕). Ten years later, the same behavior has a less fun name: hallucination. And we spend a lot of engineering effort stopping it. 🛠️ Same thing underneath, just a different job.

100k+ signatures in less than 24 hours! 💚 Over 5k current NVIDIANs, nearly 1k former NVIDIANs, and 54k+ shareholders. Thank you all! We hope the NVIDIA Board hears these voices and considers our requests. And to Jensen: Thank you. We stand with you. 💚 #standwithjensen# #bringjensenback#

This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer: "AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting We can't deny that it will also eliminate jobs, and probably a large number of them" In a few minutes he names which jobs go first and the one skill that keeps you in the game His own prediction: 50 percent of entry-level white-collar jobs disrupted in the next 1 to 5 years Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI Farming to factories took generations. This time AI hits every step of a career at once His advice fits in one line: "Of course, learn to use AI" The people who start this year won't be competing with AI, they'll be the ones running it Everything below is free. Start today: Anthropic - Prompt Engineering Interactive Tutorial: the fastest way to learn to direct a model Anthropic Courses: from your first prompt to running agents Anthropic Cookbook: real task recipes you can copy today Microsoft - Generative AI for Beginners: 21 lessons, no degree required Microsoft - AI Agents for Beginners: build agents that do the entry-level work for you Hugging Face - Agents Course: free and certified, start to finish Google Cloud - Generative AI: Google's own hands-on notebooks OpenAI Cookbook: code for every common task - Prompt Engineering Guide: the reference everyone links to Andrej Karpathy - Neural Networks Zero to Hero: understand what is under the hood CrewAI: run a small team of AI workers Microsoft - AutoGen: put several agents on one job Awesome LLM Apps: hundreds of real builds to learn from - Short Courses: free 1-hour courses from the people who teach this Total cost: $0 You don't need another year of tuition to learn this. You need to start telling AI what to do 95% will graduate and compete with AI for the same entry-level job The 5% who learn to run it this year will manage the agents doing that job Save this and send it to someone graduating this year