📣【MSI XpertStation WS300いよいよ価格公開】 1兆パラメータ級AIをデスクサイドへ 【MSI XpertStation WS300】 NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip搭載 ⚡ 最大20 PFLOPS（FP4） 🧠 最大748GB コヒーレントメモリ 💻 72コア NVIDIA Grace CPU 🌐 400GbE ×2 NVIDIA社が公開してから約半年、いよいよ価格が公開され問い合わせが増加中です♪ アプライドは正式にMSIと提携、日本市場におけるサーバー製品のプレミアムディストリビューター契約を締結しています。 https://www.applied-g.jp/wp-content/uploads/2024/11/NewsRelease_Applied_MSI_Distributor_Contract_R1-2.pdf NVIDIA GB300 Grace Blackwell Ultra Desktop Superchipを検討の際は是非お問合せください 安心のサポート、保守体制…

ちょっと待って。CodexとClaude Codeって連携できるの？絶対やる。

CodexのSubAgent v2、デフォルトの設定がめっちゃ変なのでClaude Codeと同じ感覚でSub Agentを使用すると死にます(作業中のコンテキストをコピーして全部ぶち込むアホ設計) レビュー用途であれば別スレッドに直接送信してもらうよう依頼すれば十分なので、CodexだとSub Agentは無効にするか fork_turns: "none" にするか、fork_turns: "2"くらいに抑えると良さげ

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.

【話題】“話し合い”ができない夫を激詰めした結果、離婚を切り出された女性が話題に ・夫と議論しようとすると「明日にして」と逃げられる ・夫は“話し合いができない人”で、大体何でも夫が悪いというスタンス →既婚男性から「読んでてツラい」「うちの嫁が書いた文章かと思った…」との感想が相次ぐ

AstraでSubagent利用するとUsage消費ペースが激しすぎる問題への対策

これ覚えておくと良いよ。 https://x.com の前に adhをつけるとURLから本文が読めるようになる。 検索などをしたい場合はCodex等で fa0311/twitter_api_safe_relay を用いれば良い。

FABLE 5 + HIGGSFIELD CAN BUILD A $35,000 ANIMATED WEBSITE. IN ONE AGENTIC SESSION. FOR ~$12 IN CREDITS. stop paying a web studio $6,000-$35,000. stop wiring GSAP, Lenis, and frame extraction by hand. Claude Code writes it. Higgsfield renders it. WHAT THE BUILD PRODUCES: → a fully animated, scroll-driven site → cinematic motion clips from 30+ generative models → GSAP ScrollTrigger timelines - zero hand-coded keyframes → Lenis smooth-scroll, tuned pacing → automated frame extraction + asset optim…

Michael van gurning having it off in obeach #ibiza #darts #MVG

Every Agentic Engineering Hack I Know (June 2026)

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

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

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…

初心者のタンクにカスの嘘を吹き込むゼニヤッタ

個人的に無料版CatGPT,Claudeでも一発で読み込めるadhx.com使ってるな〜 𝕏.comの先端に三文字追加するだけでいいし… (というかfxtwitter何故か読み込めなかった)

How I combined the best of @poteto's pstack and @kunchenguid's Firstmate into a single runtime. Instead of letting their routers fight as separate authorities, I kept Firstmate as the outer loop for fleet orchestration and injected pstack's engineering discipline directly into the workers runtime. >Firstmate is a fleet commander (horizontal scale across Git worktrees). >pstack is an elite micro-manager (strict engineering habits and verification). Here is how I merged them into an optimized hybrid runtime: * Conditional Briefs: Worker prompts load plays just-in-time. Zero bloated prompt dumps. * Required-Read Habits: Smallest logical change, subtract code before adding, and analyze blast radius. * Context Discipline: Only map how the system is built when the change crosses into another part of it. If you skip that, write one line saying why. * Verification: "Done" requires real artifact proof (running live shell commands or generating local app verifiers). * Scaffold Isolation: Worktree checks prevent role hijack across ship, scout, and supervisor agents. I stripped out the Cursor UI dependencies for my local machine's CLI stack and skipped the expensive multi-frontier review loops. Firstmate handles the fleet isolation. The injected runtime handles the code discipline. The goal is lean, fast and deterministic. Just wired this up today, so I will be seeing how this works on my projects. html artifact- Repo links: pstack: Firstmate:

make money with grok bot in 6 weeks (FULL GUIDE)

You are right to push back

Y'all should look at @CloudflareDev Computer. Your agent's don't need a container all the time!

Blew your mind in one post Solomon’s chamber Boaz and Jachin

😱😱😱😱

Them Creamfields vibes

JUST IN: LinkedIn rolls out a “Seems like AI slop” button, amid growing concerns over low quality, AI-generated content on the platform.

currently selling one Microduck every 5 seconds

😂😂😂😂😂

Rainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations. We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data. In the future, Rainmaker will protect and restore glaciers with man-made snowfall. Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months. We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need. Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim. Rainmaker Century. https://www.rainmaker.com/blog/alaska-validation-report

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…

This is a pure goldmine for college students

If you have multiple interests, do not waste the next 2-3 years