𝚝𝚊𝚒𝚔𝚒

2.2K posts

𝚝𝚊𝚒𝚔𝚒

𝚝𝚊𝚒𝚔𝚒

@nikuberu29

🏌️‍♂️🏕️🏊‍♂️📷🧑‍💻DevPlatform @x

Katılım Ocak 2014
1.4K Takip Edilen937 Takipçiler
𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
1秒あたりのトークン数で考えると、音声入力の方が効率が良いので、結局伝えたいことを簡潔に伝えるスキルが必要なのだろうか。ある程度はAIが汲み取ってくれるだろうけれど、パッと伝える説明力が無さすぎるとすぐに齟齬が生まれてしまいそう。もはや箇条書きのようなフォーマットで話すのが最適なのか。
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𝚝𝚊𝚒𝚔𝚒 retweetledi
Claude
Claude@claudeai·
Effective today, we are: 1) Doubling Claude Code’s 5-hour rate limits for Pro, Max, and Team plans; 2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and 3) Substantially raising our API rate limits for Opus models.
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
サムライハンバーグ最高だった。そして接客が良すぎて、美味しさマシマシ。
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
翻訳見たら八ヶ岳ではなく、箱根山に自動補正されてるのなぜ😇笑
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
これは求めていたものに近いかもしれん⛰️ 空気も気持ちいいし、各所で鯉のぼりが舞っていて季節を感じるし、目も休まるし、いつかは住みたい八ヶ岳。
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Paul Graham
Paul Graham@paulg·
Even though nerds are socially awkward, its actually easier to hang out with them than with smooth people, because standards are lower. You don't worry that you might be making social errors; all of you always are; so it stops mattering.
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
アベ2.5倍つよーw
ポーカーマガジン ~ LightTHREE ~ ライトスリー@PokerMedia_L3

【速報】田中圭 圧倒的チップ量でFinal Table進出🔥🇯🇵 現在、オーストラリア・メルボルンで開催されている「Aussie Millions Poker Championship」$25,000 challenge Day2に進出している、田中圭さん。 世界のヨコサワ(@MasatoYokosawa)さんとのオールイン勝負を制し、141BBというアベレージの約2.5倍となる圧倒的なチップ量でFinal Table進出を決めました。 優勝賞金は約7,300万円(652,670 AUD)💰 田中圭さんはチップリーダーで優勝を懸けた最終日に挑みます。 #AussieMillions26

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Yasmin web3BizDev ブロックチェーンゲーマー
マネーフォワード解約増えてるのは、ほとんどの人はパスワード漏れている訳じゃないから解約しなくていい、っていう事じゃなくて。 インシデントの内容を見て、1,800万人のお金の管理意識を持っているユーザーのデータを預かる金融のサービスで、ほぉーん、そういうセキュリティレベルなのね、と思ったという事だと思う。
マネーフォワード@moneyforward

【重要】『GitHub』への不正アクセス発生に関するお知らせとお詫び(第一報) corp.moneyforward.com/news/info/2026…

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𝚝𝚊𝚒𝚔𝚒@nikuberu29·
Yosemiteのwildernessのように、都心からサクッと行ける大自然てどこだろうか。そろそろTuolumne Meadowsに行く道もオープン時期だなぁ🥹
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
最近はサクッとデモ作って持っていけるので、説明が楽になったなぁ。
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zerohedge
zerohedge@zerohedge·
*JAPAN INTERVENED IN FX MARKET, NIKKEI SAYS And now we go to 170
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川邊健太郎
川邊健太郎@dennotai·
【盛れ!:即レス】 単なる速さではない。相手の思考を止めない「外部CPU」としての機能提供だ。情報の滞留をゼロにし、組織全体の意思決定サイクルを極限まで加速させよ。 リードタイム短縮を盛れ!盛れ!盛れ! 共感したらリポスト・フォローを💃
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
アイコンに顔写真ないと、途中から直接話しかけられても誰か分からん🏌️
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𝚝𝚊𝚒𝚔𝚒
𝚝𝚊𝚒𝚔𝚒@nikuberu29·
レガシー資料たちからなんとか情報収集して、全く未経験の領域についてディスカッションするのはなかなか難しいものがあるが、強制的にあらゆる経験値を短期間に積めていけるのはありがたい。各スペシャリストがいるのが理想だけど、状況的にAI使って全部のスペシャリストにならないと前に進めないなぁ。
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Paul Graham
Paul Graham@paulg·
Hamming's talk is so important that I reproduced it on my site. It's one of the only things on my site written by someone else. paulgraham.com/hamming.html
Ihtesham Ali@ihtesham2005

A mathematician who shared an office with Claude Shannon at Bell Labs gave one lecture in 1986 that explains why some people win Nobel Prizes and other equally smart people spend their whole lives doing forgettable work. His name was Richard Hamming. He won the Turing Award. He invented error-correcting codes that made modern computing possible. And he spent 30 years at Bell Labs sitting in a cafeteria at lunch watching which scientists became legendary and which ones faded into nothing. In March 1986, he walked into a Bellcore auditorium in front of 200 researchers and told them exactly what he had seen. Here's the framework that has been quoted by every serious scientist for the last 40 years. His opening line landed like a punch. He said most scientists he worked with at Bell Labs were just as smart as the Nobel Prize winners. Just as hardworking. Just as credentialed. And yet at the end of a 40-year career, one group had changed entire fields and the other group was forgotten by the time they retired. He wanted to know what the difference actually was. And he said it wasn't luck. It wasn't IQ. It was a specific set of habits that almost nobody is willing to follow. The first habit was the one that hurts the most to hear. He said most scientists deliberately avoid the most important problem in their field because the odds of failure are too high. They pick a safe adjacent problem, solve it cleanly, publish it, and move on. And because they never swing at the hard problem, they never hit it. He said if you do not work on an important problem, it is unlikely you will do important work. That is not a motivational line. That is a logical one. The second habit was about doors. Literal doors. He noticed that the scientists at Bell Labs who kept their office doors closed got more done in the short term because they had no interruptions. But the scientists who kept their doors open got more done over a career. The open-door scientists were interrupted constantly. They also absorbed every new idea passing through the hallway. Ten years in, they were working on problems the closed-door scientists did not even know existed. The third habit was inversion. When Bell Labs refused to give him the team of programmers he wanted, Hamming sat with the rejection for weeks. Then he flipped the question. Instead of asking for programmers to write the programs, he asked why machines could not write the programs themselves. That single inversion pushed him into the frontier of computer science. He said the pattern repeats everywhere. What looks like a defect, if you flip it correctly, becomes the exact thing that pushes you ahead of everyone else. The fourth habit was the one that hit me the hardest. He said knowledge and productivity compound like interest. Someone who works 10 percent harder than you does not produce 10 percent more over a career. They produce twice as much. The gap doesn't add. It multiplies. And it compounds silently for years before anyone notices. He finished the lecture with a line I have never been able to shake. He said Pasteur's famous quote is right. Luck favors the prepared mind. But he meant it literally. You don't hope for luck. You engineer the conditions where luck can land on you. Open doors. Important problems. Inverted questions. Compounded hours. Those are not traits. Those are choices you make every single day. The transcript has been sitting on the University of Virginia's computer science website for almost 30 years. The video is free on YouTube. Stripe Press reprinted the full lectures as a book in 2020 and Bret Victor wrote the foreword. Hamming died in 1998. He gave his final lecture a few weeks before. He was 82. The lecture that explains why some careers become legendary and others disappear is still free. Most people who could benefit from it will never open it.

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Nike Japan
Nike Japan@nikejapan·
4.10 NIKE SHINJUKU OPEN ストアロゴはJR新宿駅の警備員として案内標識文字 『修悦体』を生み出した、佐藤修悦氏協力のもと制作。 スポーツをもっと、楽しめるか。 #NikeShinjuku #ナイキ新宿 詳細を見る➡️ nike.com/jp/nikestore/s…
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