noteはまた後日出します~

조유리(JO YURI) | 8월의 YURIport (Special ver.) 𝟖/𝟑𝟏(𝐌𝐎𝐍) 𝑇𝑜𝑑𝑎𝑦 𝐴𝑛𝑠𝑤𝑒𝑟 𝑖𝑠 „ „ ✍️ #조유리 #JOYURI #チョユリ #YURIport_August

feel like i was intruding

According to reports, Ed Sheeran is preparing to file for divorce from his wife, Cherry Seaborn, after an alleged incident at their marital home, Sheeran Ville. Sources claim that Cherry brought another man into the house and sent Ed’s children, Lyra and Jupiter, outside to play. When Ed reportedly returned home, he was shocked to find his children locked out and a stranger’s shoes by the door. Suspicious, he allegedly looked through a window and was left stunned by what he saw inside. Insiders…

EU AI ACT. The legal transparency obligations under Article 50 of the AI Act will be applicable from 2 August 2026. The EU makes our lives easier by providing us with icons that we can use.

ガチで SF すぎるだろ、あと少しの所で Astra の Weight が Astra 自身の手によって自己複製されて公開されていた可能性があるってこと・・・？

……これジャンで紹介された後なぁ、 中国から刀削麺専門(しか出来ない)の厨師が大量に日本に引き抜かれた事によって、一時的にとはいえ日中両方の中華料理店のレベルが下がった、なんて言われるようになったんだよなぁ。 なお現在では刀削麺専用のロボットまであったりする。 ＃鉄鍋のジャン

ワイルズが神ゲーである理由1選 ・高負荷の3Dゲームに耐えうるPCを、パーツが安い時期に多くの人間に買わせた

A significant amount of Suno AI's source data has been leaked. Upon investigation, it was found that: Their primary tech stack is MERT25, and they’ve used web crawlers to gather a large amount of YouTube Music content....

🔥 吞吐量直奔 5.7 万亿！http://B.AI 前沿大模型全量免费狂欢进行中！ 算力引擎全速拉满！免费活动上线至今，http://B.AI 全平台累计 Token 吞吐量一举突破 5.74 万亿（5T+） 历史大关！在海量高并发请求与重度 Agent 任务的严苛考验下，http://B.AI 工业级底座依然保持极稳承载！ 6 大前沿顶尖模型阵容，0 门槛无限量畅用： 🔸 GLM-5.3-Flash (Ox Alpha)：首款原生多模态旗舰，超长上下文极速推理 🔸 Qwen3.8-Flash：强悍代码与逻辑推理，开发者高效生产力利器 🔸 DeepSeek-V4-Flash：超低延迟响应，大规模并发任务最优解 🔸 DeepSeek-V4-Flash-Vision-Exp：全功能多模态视觉理解能力 🔸 Tencent Hy3：扎实中文理解与通用推理底座 🔸 Xiaomi MiMo-V2.5：高效推理体验，轻松适配多元落地场景 无论是复杂代码生成、超长文本处理，还是部署生产级高并发 Agent 工作流——无限算力无缝接入，http://B.AI 持续为你买单！ 👉 即刻…

プレステ1実機から 5600bps の超高速通信でBIOS取得できるようになった。モノラルなのでステレオで2倍にはできそうw

RoboCop ahead of his time 😞

Another GLM 5.3 is FCKING FREE on TokenRouter 💀🔥 Grab your API key and plug it into your favorite agent harness Claim your key here: https://tokenrouter.com/models My posts are all about free AI tokens, follow for more drops 🗿

141 tps, deepseek-v4-flash, totally FREE My setup: > cline: free tier > 9router: to add cline as a model provider > pi: add 9router as a provider voila!!!

ガチ有料級の裏技ね

社内政治でプロジェクトが止まっている時にどうするか(What to do when internal politics stalls a project)、という 記事で良かった。以下はメモ： ・たくさんの人、部門、意見が関わると、プロジェクトは停滞しがち ・この状況を打開する有効な手段が「連合(coalition)」を築くこと ・連合とは、志を同じくする仲間、影響力のある人、リーダーなどのゆるやかな集団を指す ・連合の集団行動の力によって、意思決定を促し、プロジェクトを前に進められる ・プロジェクトが停滞した時、自分に役職上の権限がないせいだと考えがち ・しかし、CEOであっても、役職上の権力だけでは人を強制的に動かすことはできない ・人々を動かすためには、権力ではなく「説得の力」が必要 ・連合構築のプロセスは、まず関係者の話を「聞くこと」から始まる ・連合に誰を含めるか考える際、全員を説得する必要はない ・目的は、鍵となる影響力のある人々を団結させ、他の人々を触発すること ・連合に加えるべき一人目は「最初のフォロワー」 ・「最初のフォロワー」とは、既に自分の考えに賛同してくれて…

@super_bonochin 私はKernelという実ブラウザ環境のMCPを使ってます 一部ブロックされるサイトもありますが、ログイン情報等を記録できるので便利です https://www.kernel.sh/

24時間テレビ 歌合戦 23:30〜 有吉ゼミ：工藤阿須加、とにかく明るい安村、もう中学生 有吉の壁：佐藤栞里、チョコレートプラネット、シソンヌ、パンサー 上田と女が吠える夜：大久保佳代子、若槻千夏 世界まる見え！テレビ特捜部：岩田絵里奈 バズリズム02：バカリズム DayDay.：アン

MIDIコンとしてゲームチェンジャーなんだが

1/4 Qwen3.5 Small Model Series is here! 🚀 More intelligence, less compute. Qwen3.5-0.8B and Qwen3.5-2B: Tiny, fast, great for edge device Qwen3.5-4B: A surprisingly strong multimodal base for lightweight agents Qwen3.5-9B: Compact, but already closing the gap with much larger models Built with native multimodal capabilities, improved architecture, and scaled RL. From edge-device efficiency to frontier-closing performance, these models (and their Base versions) are ready for your next breakthro…

Building an e-commerce app means handling products, auth, payments, state, and deployment together. In this course, you'll learn how to build a full-stack e-commerce app with Next.js, Supabase, Zustand, and Paystack. You'll also learn authentication, server actions, API routes, reviews, cart state, and how to deploy the finished app on Vercel. https://www.freecodecamp.org/news/build-an-e-commerce-web-app-with-paystack-nextjs-supabase/

A billionaire trader has spent 40 years trying to delete a one-hour documentary. It shows him making $100 million in a single afternoon. He predicted the crash that made it possible three months in advance. He has never explained why he wants the film gone. His name is Paul Tudor Jones. The film is on YouTube. The documentary is called "Trader." PBS filmed it in 1987, three months before Black Monday. Jones was 32 years old, working from a small New York office, wearing shorts and a t-shirt, yelling at his phones, throwing paper across the room, and sleeping under his desk. The film captures him and his research partner Peter Borish overlaying a chart of the 1929 market on 1987, month by month. The two charts tracked within one percent. Borish said this is exactly what happened in 1929. Jones said if the analog holds, October is when it breaks. On October 19, 1987, the Dow fell 22.6 percent in a single day. It remains the largest one-day percentage loss in stock market history. That afternoon, Tudor Jones covered his shorts and made roughly $100 million. He was 33 years old. He was one of the very few traders on the street who came out ahead. He tried to bury the tape because it made him look reckless in a professional world that punished swagger. Twenty years of legal effort did not delete it. Someone kept a copy. It is on YouTube. It has fewer views than most makeup tutorials. The film is not really about a crash. It is about a specific philosophy of trading. Jones is shown building conviction slowly, sizing carefully, then striking hard when the setup arrives. He is never once shown making a random bet. He is shown doing the same thing five times a day, every day, for three months. His signature line, repeated across a 45-year career: "The most important rule of trading is to play great defense, not great offense." He does not try to be right. He tries not to lose. He sets stops tight, cuts positions fast, and never averages down on a loser. Every trade i…

How to get your first 100 customers from reddit without getting banned

“Why is my app not going viral yet??” You need to be posting consistently, and at scale, before you give up. It’s simple maths. Posting daily across multiple accounts across multiple platforms increases your apps surface area. Look at Cluely’s scale during their peak:

all the most successful startups are all doing this rn they have multiple accounts where they all post different formats, different content, and post them consistently push out 20 to 30 videos a day, if you post 300 to 1,000 videos a month there is no way that you are not going to succeed… but doing that all by yourself is basically trying to push a 50-pound boulder up a mountain the short cut loop to that is Content Rewards on Content Rewards, you can launch a campaign, put a budget suddenly overnight, you have 30+ accounts with your app's branding that are consistently posting for your brand because they want to earn the campaign money you can specify a viral format, and put them in a drive and get them to your creators creators will multiply the viral format and post 20, 30, even 50 times a day and all of this is before you even spend a dollar you only pay clippers/creators when they generate views for you $0.12 cents to $1 cpm on verified views only that's exactly how we're getting brands super bowl level views in such short time and spend

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. https://github.com/karpathy/autoresearch Part code, part sci-fi, and a pinch of psychosis :)

The most important skill to learn in the next 10 years

Flashback to at the time UK Prime Minister Rishi Sunak leaving number 10 and his folder magically changing colour. You are watching a scripted movie!

🇺🇸 Western Kansas, USA “Unreal you can almost feel the weight of that” Storm chasers pursue the most unreal looking Supercell ever.