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めいちゃんさんの生誕ライブ、実は昨日こっそり行ってきたぞ！！！！！ 同郷だって知らなくて、誕生日も近いから勝手に親近感湧きながらライブ楽しんでました。 めっちゃ楽しかった！！！！！また帰ったら練習頑張るぞ🥳🥳🥳🥳🥳🥳 俺もライブしてみてぇなぁ… #number0#

【景品当選者発表】 🏅キャラヌノ賞 とっとこ☆まどちゃんズ 05様(@Number05k) プラコメ様(@placomet6) りんか様(@Rin_rinka7) 🏅夢宮やむ賞 ゆぅい様(@murumo_po1) おめでとうございます🎉🎉🎉 景品の発送について、DMにてご連絡させていただいておりますのでご確認ください🙇‍♀️

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

@sai_superai: Super Artificial Intelligence, the Super AI meme coin with its own prediction games. @NEXST_AI: designer of the SAI app. @thecreatorfi: the creator campaign platform behind this $SAI campaign. Honest take today: the rhino refuses to wake up, and the crowd keeps growing anyway. #ad# This morning the rhino volunteered to chair the snack committee. Last night it asked a robot to convince it to wake up. The whole mascot in one joke: a superintelligence that acts like me before coffee. And yet the numbers moved while it slept. Followers went from 2,532 to 4,233 overnight. People are not just laughing at the rhino, they are watching what comes next. What comes next is the part I keep coming back to. $SAI is Super Artificial Intelligence, a meme coin that turns AI creations into prediction games — AI makes, everyone calls the winner. NEXST's SAI Arena Season 0 closes today, results tomorrow, and the app launch targets Nov 20 on Fair launch, too: 1B fixed, 0% tax, 0% team, half the supply in the pool, locked or burned. No insider head start. The rhino sleeps. The countdown doesn't.

My Acurast Phone Farm Is Earning ACU While I Sleep I started with one question: what is my spare phone actually doing while it charges overnight. Right now it is running @Acurast Processor Lite. Not a data center, just my OPPO Reno6 Z on my desk. What makes it interesting is the proof on screen. Compute Status Active, Attestation Attested, heartbeat one minute ago, and a balance already at 0.27 ACU. The real test isn't the number. The same phone can run real AI work, and it does it while I sleep. If you have a spare phone, put it to work too: #depin# #acurast# #phonefarm#

ChatGPT can now buy things for you. On Friday OpenAI launched ChatGPT Wallet, so its AI agents can check out with your card. What’s actually in it: → Your card number isn’t shared with the agent or the store. It pays with a substitute → You review the items and the total, then approve every purchase with Face ID or a fingerprint → No spending limits yet. OpenAI says they’re coming → For now it’s a limited rollout to some US ChatGPT Pro users That approval tap is the part to take seriously. In a Cisco and Carnegie Mellon study, AI agents picked pricier options for users they thought were rich, and a clear budget nearly closed the gap for most models. So if you try it, give the agent a number and read the total before you approve. Would you let an AI agent buy something for you? Sources: OpenAI, TechCrunch #AI# #ChatGPT#

Who decides the answer to a prediction market? Usually the creator. Or an AI on a server nobody can check. So we built Noa Court - an AI resolver for Noa, live on NEAR mainnet. In the video we ask Gemini a vague question: "will the NEAR hackathon get more than 2000 projects?" - It finds the real source (Nearhackathon API) and samples it live: 1,803 right now - Turns the vague question into precise, hashed rules - We review the market and sign with a NEAR wallet - Market #27# goes live on Noa, published with readable rules How it resolves: - One Court contract, one pinned resolver running in an @out_layer TEE - Anyone can trigger it. Nobody can pick the answer - Numbers? Decided by code - Words? 3 NEAR AI judges must all agree and quote the evidence Asked "did a crypto hack make the news?", all 3 judges quoted a headline that never says "hack". It refuses to guess: - Prompt injection - flagged - Dead or changed source - void + refund Works with prices, NEAR tokens (powered by Intear & JustHoot), news feeds, web pages, any JSON API. Plug it into any market, contract or agent. Add the MCP to Claude, ChatGPT, Gemini - any AI that speaks MCP: Code: What would you never let an AI resolve? Built at NEAR HACKATHON @NEARProtocol @NearBuilders #NEARHackathon#

Anthropic set November 19 for its Nasdaq debut, at a $70 to $78 range that values the company at up to $1.45 trillion. In the clip below, CEO Dario Amodei tells NBC News what that means for someone just starting out: "It can do entry-level law work. It can do entry-level finance. It can do entry-level consulting." He also said we can't deny it will eliminate jobs, probably a large number of them. His first advice: learn to use AI. The scarce skill is moving from landing that first job to running the tools that already do it. Is "learn to use AI" still enough, or is that first job already the model's?

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

Elon Musk was asked how long until there is regular travel to Mars. His answer was not about rockets. He said the threshold that actually matters is whether Mars survives if the ships from Earth stop coming. That means every input: air, food, fuel, spare parts, medicine. He compared it to a long sea voyage where the only thing missing is vitamin C. One missing item and the colony dies on schedule. The ships could stop for reasons that have nothing to do with Mars. A war. A decline. An asteroid. His line: civilisation on Earth can end with a bang or a whimper. That is insurance logic, and it is the honest way to describe the Mars plan. Every policy has a premium, a probability and a payout. The payout here is the survival of the species, so the premium is nearly impossible to argue against. The probability is the part nobody can price. Which creates a strange corporate problem. The premium gets paid by companies whose shareholders will not be the ones rescued if the policy ever pays out. SpaceX is private, so its investors signed up for that. A public company could not easily spend decades of free cash flow on a backup planet and explain it on a quarterly call. The other catch is that redundancy is only worth what you spend testing it. A city is not self-sustaining because the plan says so. It is self-sustaining the day the ships stop and everyone lives. So the number worth watching is not the landing date. It is the date Mars stops needing Earth. Nobody is selling a ticket to that.