hanayuki

@BoxerJunto @FinitoYamaguchi 応援ありがとうございます！東京ドームのリングは楽しかったですね！怪我が少しあるようですが、早く治してください！またの戦いを楽しみにしています！感謝！

昨晩も沢山の応援ありがとうございました！ そして井上選手ありがとうございました！ 東京ドームのリングとても楽しかったです！ 怪我は少しありますが、 しっかり治してまた戦います！ I love you all 感謝!感謝！ 📷 @FinitoYamaguchi

@Ruupens 多くの「寝ているお金のシステム」が存在することに気づくと、まさにその通りです。

@britanianec Exactly — once you start looking, you realize how many of these ‘sleeping money systems’ exist in different forms.

A 19-year-old student figured out how to turn sleep into money. No music. No face. No brand. Just rain. $10,000+ a month from uploading 8-hour thunderstorm loops on YouTube. Here’s the “system”: He types a simple prompt into an AI audio tool: “heavy rain, distant thunder, 8 hours, deep sleep atmosphere” In minutes → a full high-quality sleep track is generated. Claude then builds everything else: → SEO-optimized titles → search-heavy descriptions → keyword-packed tags designed to trigger YouTube search (“rain sounds for sleeping”, “deep sleep white noise”, “thunderstorm ambience 8 hours”) He pairs it with a static image. Uploads. And walks away. While he’s in class, sleeping, living his life — the videos are running 24/7 in the background, farming watch time for hours per viewer. YouTube pays per attention minute… and sleep content is basically infinite attention. No personality. No editing. No audience building. Just: prompt → upload → passive income loop. One channel, a few uploads a week, and the algorithm does the rest. This isn’t content creation anymore. It’s attention arbitrage while people sleep.

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One wrong move and it’s over. Watch the most terrifying drop of his life.

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Spencer Pratt says they tried to tell him he was ineligible to run for mayor “because his house burned down” “I wasn't eligible to run for mayor because my house burned down — I'm not kidding. This is real” The LA Times reported he wasn’t eligible to run because his house burned down in the Palisades Fire, forcing him to temporarily live outside the city This was a lie, it was the LA Times doing what they always do. Spreading fake news to help Democrats in Los Angeles He says he had to call the City Clerk to verify the claims, they of course were wrong. Anyone who had their house burned down was still eligible

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ANCIENT CINNAMON RITUAL TO TURN YOUR WALLET INTO A MONEY MAGNET If you are reading this now, it means it's time to change your financial frequency. Stop chasing money; understand the mechanics of the system, manage the energy correctly, and let it come to you. In metaphysical laws, cinnamon is not just a plant, but a tremendous "attraction" activator. Here is a ritual you can perform to practically invite abundance into your life. Step One: Changing Your Wallet Frequency Your wallet is not just an object, it is the main center where your material energy resides. We need to transform this space into a constantly working center of attraction. Using powdered cinnamon and contaminating your wallet can disperse the energy. Instead, obtain cinnamon sticks or pieces. Place them in a small, airtight velvet pouch or a small resealable bag. Place this pouch directly next to your cash, credit cards, or checks. This will establish your core abundance field. Second Stage: Cinnamon Banknote Sealing This is the truly powerful and fast-acting focus practice. Focus and follow the steps in order: 1. Choose the Right Banknote: It's always better to use a high-value banknote, but even the smallest denomination will do the same with the right intention. 2. Use Water: Prepare a small bowl of water. Lightly moisten only one side of the banknote, without soaking it completely. 3. Draw the Attraction Line: Take some powdered cinnamon on your fingertip. Draw a line across the banknote, directly towards YOURSELF. This is the strictest rule of the law of attraction: The direction of energy and movement must always be towards you. 4. Set the Intention: While drawing the line, visualize the money coming to you and say this affirmation: "Thank you for blessing me with money; as I draw this line towards myself, money flows to me exponentially, tenfold." 5. Fold Towards Yourself: In spiritual law, you fold everything you want to enter your life towards yourself. Always fold the money towards yourself until it's small enough to not take up space in your wallet. Never fold it outwards. 6. Keep in a Private Space: Place this sealed banknote in a separate, private compartment in your wallet where nothing else is. Never spend it again and let the universe do its work there. Expert Tip: When you complete this ritual, add a very small amount of sea salt next to the cinnamon in your wallet. While the cinnamon will quickly attract abundance to you, the sea salt will act as an absolute shield protecting your material possessions from negative eyes, leaks, and losses. When you direct the energy correctly, the universal system responds to you with mathematical precision. That cycle of permanently opening your financial blockages is beginning now. Practice and trust the flow.

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At the Trans-Alaska Pipeline in Fairbanks. Thank you to President Trump for supporting energy independence & energy dominance, which supports national security. Drill, baby, drill.

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𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐯𝐬 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐯𝐬 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆 Most teams treat AI like a static model. Agentic AI treats it like an autonomous system that reasons, acts, and improves. 𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Specify Task → Collect Data → Refine Data (Vector DB) → Retrieval Index → Model Training → Evaluate Outcomes → Deploy Model → Generate Results. Traditional AI is a pipeline. You train once, deploy once, and hope it works. When data changes or requirements shift, you retrain from scratch. 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 Specify Task → Choose LLM Model → Integrate Tools & APIs → External Operation → Search/APIs → Embed Logic & Iterations → Agent-Led Choices → Self-Decisions → Implement Actions → Improve & Evolve → Self-Decisions (loop back). Agentic AI does not just predict. It reasons, takes action, evaluates results, and adapts. The agent makes decisions autonomously, learns from outcomes, and improves over time without retraining. 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆 Specify Task → Fetch Useful Data → Search/APIs → External Operation → Design Multi-Step Process → Apply Iterative Logic → Implement Actions → Query APIs → Refresh Memory → Produce & Verify Results → Adapt for Future Use (loop back). Agentic RAG combines retrieval with autonomous reasoning. The agent does not just fetch documents it designs multi-step processes, applies iterative logic, queries APIs, verifies results, and adapts its memory for future queries. 𝐓𝐡𝐞 𝐊𝐞𝐲 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 Traditional AI: Static pipeline. Train, deploy, hope. Agentic AI: Autonomous reasoning. Acts, evaluates, improves. Agentic RAG: Retrieval + reasoning. Multi-step processes, iterative logic, memory refresh. Traditional AI gives you answers. Agentic AI solves problems. Agentic RAG solves problems with context. Most AI systems today are still traditional. The teams winning with AI are building agentic systems that reason, act, and evolve. 𝐖𝐡𝐢𝐜𝐡 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐚𝐫𝐞 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐭𝐨𝐝𝐚𝐲: 𝐭𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥, 𝐚𝐠𝐞𝐧𝐭𝐢𝐜, 𝐨𝐫 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆? ♻️ Repost this to help your network get started #RAG #AIEngineering #LLMs #AIAgents

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The folder structure that actually scales for Cowork: cowork-workspace/ ├── context/ (about-me, brand-voice, projects) ├── successful-examples/ (your best emails, posts, proposals) ├── current-tasks/ (active deliverables) └── references/ (SOPs, style guides, templates) The folder most people skip is the cheat code: successful-examples. Drop your best 5-10 emails, your top LinkedIn posts, your best client proposals in there. Cowork reverse-engineers your wins instead of guessing your style. Day 1 it copies your structure. Day 90 it sounds like you wrote it.

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広島県広島湾に浮かぶ瀬戸内海で4番目に大きい島、江田島。ここには『海に沈む道』がある。大潮の満潮時になるとゆっくりと海面下に沈む。ここは海なのか、陸なのか。いつか行ってみたい。

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✨ The Teenage Mom Who Helped Shape America: Sacagawea ✨ She was only about 16 or 17 years old, a new mother with her infant strapped to her back, when she joined one of the most epic journeys in U.S. history. Born around 1788 to the Lemhi Shoshone in what is now Idaho, Sacagawea was kidnapped as a child by the Hidatsa. By 1804, she was living in a Hidatsa village in North Dakota — married (or in some accounts, taken as wife) to French-Canadian trader Toussaint Charbonneau — when Meriwether Lewis and William Clark arrived. On April 7, 1805, she, Charbonneau, and their two-month-old son Jean Baptiste (“Pomp”) set off with the Corps of Discovery. Over the next 16+ months, Sacagawea: • Acted as interpreter (speaking Shoshone and Hidatsa) • Foraged for edible plants and roots to keep the group fed • Saved critical supplies, journals, and instruments when a boat nearly capsized on the Missouri River • Reunited with her Shoshone people (and her brother, the chief) near the Continental Divide — helping secure horses for the mountain crossing • Voted on where to build the winter fort at the Pacific (the only woman to do so) She traveled thousands of miles across rugged terrain, rivers, and mountains — all while caring for her baby. Sacagawea’s calm courage, knowledge, and presence helped the expedition succeed and build peaceful relations with many Native nations along the way. She remains one of the most celebrated figures of the American West.

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The reason Claude keeps disappointing you is not Claude - it’s you. Every session - explain yourself from scratch. Every session - it forgets you exist. Every session - same mistakes. Same corrections. Same waste. That’s not AI. That’s a goldfish with a keyboard. One file broke that loop permanently. 21 lines. That’s it. Now Claude knows his voice. His rules. His decisions. What failed. What worked. Where he left off. He doesn’t explain himself. He doesn’t repeat himself. He just builds. While you’re re-explaining your job for the 200th time - he already shipped. Tony Stark didn’t prompt J.A.R.V.I.S. He talked to it like it knew him. Because it did. This guy has that. In a wine bar. On a laptop. With a text file. 82,000 GitHub stars. #1 trending. And you still don’t have it set up. Bookmark this before you forget. Because you will forget. And tomorrow you’ll be explaining yourself to Claude again.

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Me realizing Kimi K2.6 was not a Claude replacement > opened another model comparison > looked for the winner > checked the pricing > saw $0.95/M input > saw $0.16/M cached input > saw 262k context > saw Cloudflare hosting it > saw agent swarm > stopped thinking “chatbot” > started thinking “research team” Claude is the person I give the delicate job to Kimi is the room full of agents I give the spreadsheet-shaped job to not: write me a startup idea but: > research 100 companies > validate every source > score each lead > generate outreach > draft landing pages > return files and a report not: make my code faster but: > benchmark baseline > try strategy 1 > measure > keep or revert > try strategy 2 > measure > stop at diminishing returns the hidden skill is writing the spec because one vague prompt sent to 300 agents is just distributed slop a clear markdown brief is different > sources allowed > fields required > conflict rules > output format > quality bar > stop condition Kimi is powerful when the work can be parallel Claude is still where I go when the work needs one careful mind the model choice is not religion, it is task routing

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$177,723 net profit on 5-minute Bitcoin markets 83,986 predictions made with a 51% win rate The best trade returned $17,832 from $13,535 Buys low percentages and exits on bounces Wallet: 0x6fdc687773d4ba8753ea406f4eb2a403051a953f

@royscott87 @Sprytixl あなたは他のたくさんのコメントが同じことを別の言葉で言っていることに興味深いですね。このアカウントがAIのコメント工場の一部であることがわかります。このようなくだらない投稿にコメントするアカウントの運営者は、自分の人生の価値を疑うべきです。実質的にはゼロです。

@britanianec @Sprytixl Interesting how so many other comments are saying exactly this just in different words. I can tell this account is part of an AI slop farm of accounts posting on shit posts like this. The person running this shit should question the value of their life, because is basically 0

A regular Spotify employee revealed the scheme hundreds of people are using to make $5,000-30,000 a month with no label, no tours and zero music education. $10 subscription to Suno, one text prompt — and a finished track in 30 seconds. $23 a year on DistroKid to upload to Spotify, Apple Music and 150 other platforms. Royalties drop for every play while you sleep. Telisha Jones did this from zero. Her track hit 13 million streams, she landed #3 on the Billboard gospel chart and signed a $3 million deal. At the audition she never turned on her camera. An anonymous creator on Reddit makes $5,000 a month from a catalog of 80 lo-fi and meditation tracks. Another made $30,000 across four months exclusively from sleep music and study playlists. Nobody wins on Spotify with AI pop. The money is where real musicians don't want to work — sleep music, meditation, focus playlists. People stream this for hours and royalties stack with every single play.

@Ruupens そうですね、他にもたくさんのニッチがあるでしょう。

@britanianec Yes and this is just one niche — there are probably dozens more like this.”

@NancyH_60 かわいくて面白い！子供たちは本当にかわいいですね。

Baby Chaos Unleashed: Hilarious Compilation That’ll Crack You Up! 😂👶” In this laugh-out-loud TikTok compilation, tiny humans deliver nonstop comedy. Watch babies face-planting into pillows with triumphant grins, toddlers throwing dramatic “no naps!” tantrums, and cheeky one-liners like “Why is my poop green?” or blaming the dog for spills. Siblings battle over toys, bath-time chaos erupts, and one sleepy baby wakes up utterly confused before face-planting again. Pure, unfiltered joy mixed with epic fails—reminding us why babies are the funniest tiny comedians alive. Guaranteed giggles and maybe a little baby fever! ✨

@crptAtlas すごい！DRWはPolymarketで取引するために$200,000を支払っているんですね。数学的な計算が必要なのですね。興味深いです！

DRW is paying $200,000 to trade on Polymarket The math they're hiring for: EV = (P_win × Profit) − (P_lose × Loss) f* = (bp − q) / b P(H|E) = P(E|H) × P(H) / P(E) That's it Full breakdown of every formula, every infrastructure layer, every skill DRW is paying for:

@srkntnyldz あら、それは怖い！日本の女の子たちは本当に気をつけないといけないね。みんなも、安全に気をつけよう！

Viral olan ve gece saat 1’de çekilen görüntülerde, sapık bir Japon, iki Vietnamlı stajyer kızın kaldığı odaya gizlice girmeye çalıştı! Evde yalnız yaşayan iki kız kardeş, son günlerde pencerelerden gelen garip seslerden dolayı son derece dikkatli ve tetikteydi. Perdeyi açınca karşısında bir adam gören kızların o an yaşadıkları kan dondurucuydu… 😱

@NousResearch 面白い！複数エージェントが便利ですね。楽しみ！

Hermes Agent now has multi-agent via the Kanban, new in v0.12.0. Agents claim tasks from a board, work in parallel, and hand off when blocked. You watch progress and unblock from one easy view instead of juggling terminals. We asked it to plan and make this video about itself:

ドアダッシュで注文した35ドルの食べ物がゴミ箱に入っていった。もう彼は彼らと終わりだ。 （ドライバーが）食べ物を注文した男は家の中にいる犬を見ることができた。それは大きな配達ドライバーマンが車から降りた時に、袋に鼻を突っ込んでいたり、すぐ近くに鼻を突っ込んでいたりした。 彼は彼のバッグ入り注文を受け取った時、支払った6ドルの飲み物がないことに気づいた。彼はドライバーを追って外に出て行き、車の周りに犬の毛やドアの側面などに気づいた。彼はまた、飲み物にシールがないことにも気づいた。 家に戻ると、飲み物の中に犬の毛が入っていることに気づいた。注文されたものをあなたに配達してくれる人や、それに何が起こったのか、またはそれがどこに行ったのかを知らない。私はただ自分で食べ物を注文して、自分で取りに行くだろう。それとも、自宅で自分で食事を準備する理由になる。 あなたはドアダッシュやウーバーイーツでこのような誤った注文をしたことがありますか？この男性と同じ恐怖や恐怖心を持っていますか？

This man ordered $35 worth of food from Door Dash and it went in the trash. He’s done with them. He already had his fears and phobias about using Door Dash but he was able put those aside. Well, his fear and phobia came true. This Door Dash delivery driver showed up to his house, hos delivery handle was Pocahontas. When the guy who ordered the food looked out the window he could see a dog inside the car. And as the big delivery driver man got out of the car, the dog had his nose in or close to the bag sniffing it. When he got his bagged order, he realized his drink was missing which he paid $6 for. He followed the driver back outside and could see dog hair all over the car, on the sides of the door, etc. He also noticed his drink didn’t have a seal on it. When he got back into his house, he noticed dog hair inside of his drink! You don’t know who is delivering your order to you or what they have done to it or where it has been. I’ll just order my food, if I order food, and pick it up myself. Better yet, all the more reason to prepare your own meals at home. Have you ever had an order like this go wrong with Door Dash or Uber Eats? Do you have the same fear and phobia this guy has?