寫作|攝影|🇹🇼➡️🇯🇵 (趁還能)用科技養活自己,用興趣讓自己活得開心。

Japan
Joined December 2007
leafwind🐹 retweeted
Super long post ahead: This resonated with a lot of people. We are all facing similar kinds of experiences in our work environments. Many suggested that I take it easy, just use LLMs to finish whatever task I have, get the paycheck, and be happy. I understand that sentiment. However, there comes a point in your life when you need to find meaning in your work. It gets boring to do the same thing again and again. Your brain needs stimulation. You will start finding it somewhere if not in your work. But what if you do not have the time? How will you find your purpose then? Quitting is not an option. You need that money. There are bills to be paid. So then, the option is to just hide your face in the dirt and do what is asked of you. Nobody will be there to listen to you. And why would they do that? The end goal of any business is to become profitable. And how will you do that? Ship faster, see what gets more users onboarded, retain them. Repeat. There is no concept of soul in this process. There is no one who will care about your satisfaction. Just you. Find it somewhere. Code in your free time. You do not have free time. Find it. There is no other option. You want to feel something? Build it in your free time. I agree with a lot of people here saying we will just be meat proxies. Tbh, I do not understand the term exactly, but I think I get the sentiment. But on the other hand, what I worry about is that a lot of engineering domains will start lacking intellectuals. Think about it. If you are a kid now, in school or college, all you need to do is ask LLMs to finish your homework. Teachers are aware of it, and there is nothing they can do. If I were a kid, LLMs would be my greatest friend. They would be my replacement for the hatred I had for assignments. The art of learning will eventually disappear. Who will be there to teach, and who will be there to learn? Eventually, we will have a generation of kids who have no drive and curiosity. But I am pretty sure that if we steer this technology in the right direction, the opposite could also be possible. I just do not see that happening anytime soon. I digressed a bit, but what I am trying to say is that software engineers used to take a lot of pride in their work. There is still a possibility for that, but an MBA can now come to you and say, "Hey, I could have shipped that too. What have you done here?" Are we ready to face that question? I think not. That is ego. That will eventually go away as we adapt. Some of us are already adapting. There is resistance, and there always will be. I think it is a natural progression during any technical revolution. Yes, it is a big leap in technology. We cannot deny it any longer. What I am interested to know is how this will translate to other domains. Software can be automated. Let us assume that. What happens to math, physics, biology, medicine, mechanical engineering, aeronautics, and so on? Will they face a similar fate? I do not have an answer to that. Okay, now coming back to the topic. What do you think will happen to devs? Since most of us, judging from the response to this post, are using LLMs to do whatever management asks, what will happen to us? If models become super good, which I think they eventually will with the pace at which we are moving forward, will all of us eventually go out of a job? I again do not have an answer to this. Can someone focused solely on engineering survive? Can someone focused solely on design survive? What about someone focused just on PM? Can an individual do the job of all three? Maybe eventually they will have to. So how do I see the future of software engineering now? I think I need to reference the replies I have received on this post. It is bleak. At least the future of what we think of as traditional software engineering is bleak. I am not even sure whether whatever comes next can be considered software engineering or not. On a side note, I never even liked labeling building software as engineering. When I was a kid, I always associated engineering with making things like bridges, cars, rockets, etc. So how will you find the hard problems to solve when you are not getting any time in your day apart from talking to Claude? I do not know where we will find that. Maybe I need to pick up a new domain. Hardware? Very interesting, but I am too dumb to learn about it now. And most probably, it is not going to pay my bills. So not that. And there is nothing else that comes to my mind apart from these two. I think I am doomed. I know I am just rambling in this post. Not a lot of it will make sense, but I need to just get it out. Now, regarding this post, this is a once-in-a-lifetime reach I got on this one. I do not think this will happen again for a long time. Almost everyone on the tech side of X saw this and shared their opinions. I am grateful for this. This single post almost tripled my followers overnight. I am thankful to all of you for sharing your thoughts on this matter. I would like you all to post more on X. Share your thoughts. It can be about anything. Maybe this will give your brain the stimulation that coding at work is not going to. Start today. Post anything. Try to be original. I could just keep on writing. I like writing. I like writing long posts, even if nobody is going to read them. Maybe that is what I like the most about X. Just sharing my thoughts and seeing what others say about them. Interesting era that we all live in. I could say anything, and hundreds of people are going to see it. Okay, what else? Let us talk about life now. I think, as I mentioned, the soul-sucking nature of AI is something that bothers me. I would have loved AI to solve cancer. It took my grandparents from me, and if it solves that, I do not think anybody would be as happy as me. I need it to create more medicine, help humans live longer, and improve our quality of life. Software automation is fine, but most of our world can live without our CRUD apps. What it cannot live without is new medicine and cures for new diseases. I hope AI gets so advanced that any disease can be cured using personalized medicine. Not sure if I am making sense. Anyways, this technology has had the most impact on my life. And this will continue to happen. I hope that we humans are a part of this industry shift. I do not want to be sidelined. I want to cherish new technology. Do you know how it would have felt to live during the space race? I want to feel something similar. The difference is that the space race was not threatening anyone's livelihood. On the other hand, this time, all we hear from the AI industry is that they are going to make us jobless. I hate that about them. So negative. It does not have to be like that. I am tired of typing this now. I will share my thoughts sometime later. Yes, I do have many thoughts. That is all I do. I think about anything. At least no one is automating my consciousness yet.
I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.
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leafwind🐹 retweeted
我同意這個說法:你可以請 AI 去做任何事,替你搜集資料、比較觀點、打造工具、貫通所有會阻礙你思考與行動的阻隔,但就是「不要讓 AI 去撰寫任何實質性內容」,尤其是以你之名。 Why You Should Almost Never Use AI to Write Anything Substantive toui.io/oWnjc8
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leafwind🐹 retweeted
Lazy work used to mean too little output. Now, with AI, it often means too much and more work for everyone else. @tobi call it "slop grenades." A "Slop Grenade" is when you let AI produce the work and pass it on without adding any value (including checking it). Someone else has to wade through it, catch the mistakes, and clean up the mess. You save time and look productive but someone else pays for it.
My third conversation with Shopify co-founder and CEO @tobi. 0:00 How Shopify Uses AI 7:18 River: Shopify's Internal AI 8:55 How to Encourage Osmosis Learning 10:52 AI Dreaming and Self-Reflection 11:53 How to Use AI for Strategic Decision Making 14:11 The One Thing AI Cannot Do 16:04 What AI is Making Worse at Shopify 19:46 Predictions: Where AI is Headed Next 21:55 The Future of AI-Powered Software 24:40 Will CEOs Be Replaced with AI? 27:54 Can Superintelligence Be Controlled? 31:13 Critical Skills in AI Age 34:22 Why Complex Solutions are Usually Wrong 36:33 Conditions Needed for True Intuition 38:02 The Best Path Doesn't Have Instant Feedback 44:51 How Affirmations Can Shift Your Behavior 50:44 The Inobvious Thing Hurting Companies 52:37 Relationship Between Beauty and Creation 56:23 How SpaceX Moves Forward By Subtraction 1:00:24 Why Companies Need Refounding Events 1:01:50 Books as Cheat Codes 1:02:39 Three Books to Change Your Thinking Enjoy! (Includes paid promotions.)
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這影片發過好幾次了 大學開學 這教授又爆紅一次 台灣中山大學資工系教授 車子被猴子佔據 拿掃把驅趕 被網友稱為中山賈克斯 / 資工系呂布 教授本人自己也把所有照片換成趕猴照 提醒新生記得去選教授的課
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leafwind🐹 retweeted
今天是不是 0050 歷史上第一次漲停啊?
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leafwind🐹 retweeted
【アニメ】 スンノンin夜のカフェテラス 名画もAIで動かせる時代に、 あえて自分の手で動かすのが楽しいのです☺️
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leafwind🐹 retweeted
「這僅僅是前奏;焚書的地方,最終也會燒人。」 #我只是書店店員 toui.io/WEJsSi
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讀《二十種語言》才知道,儘管東西方對阿拉伯世界都很陌生,但英語其實有很多詞彙源自阿拉伯語,例如 adobe、alcohol、algorithm、magazine、tariff(不過 adobe 起源能追溯到古埃及),途徑包括學術翻譯、地中海貿易,甚至阿拉伯人還統治過伊比利半島,在西班牙語留下兩、三千個阿拉伯語單字。 在書中還發現阿拉伯語的詞根和前後綴結構,跟印尼語很像。一查之下發現,透過伊斯蘭教的傳播,馬來語/印尼語也有兩、三千個阿拉伯語借詞,而後續又因為兩地殖民母國的不同(英國/荷蘭),產生拼字差異。 從語言看見過去幾百年的歷史軌跡,實在太有趣了!
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leafwind🐹 retweeted
新文發佈。 做短網址服務 toui 時,因為要接金流,所以實際申請了國外的金流服務,以便能處理訂閱費用那些事情。 雖然有做了一些功課,但顯然做得不夠好,才剛上線沒多久,一個付費的人客都沒有的情況下,馬上就拔了一原來的金流換了另一家。 台灣的開發者如果有更好的金流基礎建設,應該會比現在強100倍吧。 ttp.brecht.im/posts/2026-04-…
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leafwind🐹 retweeted
来自前同事的消息,Red Hat中国研发团队全员毕业了😱
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leafwind🐹 retweeted
等了很久的 Ollama 支援 MLX,在 64GB M4 Pro Mac mini 上實測 qwen3.5:35b-a3b-coding-nvfp4,確實不錯。 顯然經過特調,同級模型跑在 oMLX 上沒那麼快;Ollama 自家 App 對話視窗超快,Claude Code 跑起來也能接受,Alma 調用不太順。 好像可以把兩台 mini 角色對調了。
Ollama is now updated to run the fastest on Apple silicon, powered by MLX, Apple's machine learning framework. This change unlocks much faster performance to accelerate demanding work on macOS: - Personal assistants like OpenClaw - Coding agents like Claude Code, OpenCode, or Codex
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leafwind🐹 retweeted
axios 被投毒了。 周下载量 3 亿,JS 生态里最常用的 HTTP 库。攻击者劫持了核心维护者的 npm 账号,发了两个恶意版本:1.14.1 和 0.30.4。 axios 源码本身一行恶意代码都没有。 这个攻击者加了一个叫 plain-crypto-js 的依赖。整个 axios 代码库里没有任何地方 import 过它。它存在的唯一目的:在 npm install 时自动跑 postinstall 脚本,往你机器上投一个远控木马。macOS、Windows、Linux 全覆盖。 木马部署完成后,脚本把自己删了,把 package.json 换成一份干净的存根。你事后去查 node_modules,什么痕迹都看不到。npm audit 也查不出异常。 从 npm install 开始算,1.1 秒后机器已经在跟 C2 服务器通信。npm install 本身都还没跑完。 一个维护者的 token 泄露,潜在影响几百万台机器。 装了这两个版本的,官方建议:假设系统已被完全控制。降级到 1.14.0 / 0.30.3,轮换所有密钥和凭证。
🚨 CRITICAL: Active supply chain attack on axios -- one of npm's most depended-on packages. The latest [email protected] now pulls in [email protected], a package that did not exist before today. This is a live compromise. This is textbook supply chain installer malware. axios has 100M+ weekly downloads. Every npm install pulling the latest version is potentially compromised right now. Socket AI analysis confirms this is malware. plain-crypto-js is an obfuscated dropper/loader that: • Deobfuscates embedded payloads and operational strings at runtime • Dynamically loads fs, os, and execSync to evade static analysis • Executes decoded shell commands • Stages and copies payload files into OS temp and Windows ProgramData directories • Deletes and renames artifacts post-execution to destroy forensic evidence If you use axios, pin your version immediately and audit your lockfiles. Do not upgrade.
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据《金融时报》引述知情人士爆料,通用人工智能初创公司 Manus 遭遇重大监管变故:其创始人肖弘及首席科学家季逸超本月被发改委召至北京开会后,因监管审查正式被限制出境。此前该团队刚被 Meta 以数十亿美元高价收购,肖弘原定出任 Meta 副总裁,如今这一“出海梦”恐因突如其来的边控而化为泡影。 看这翻手为云覆手为雨的转折,多少顶尖才俊自以为已踏上通往硅谷巅峰的红地毯,转头却发现自己仍困在时代的围城里,这种被宏大叙事瞬间锁死命运的窒息感,确实令人唏嘘。
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leafwind🐹 retweeted
中共對於日本的認知作戰分析 之前貼過 OpenAI的,這次是Sakana AI 跟讀賣新聞合作,用 AI 分析了中國在社群媒體上對日本的認知戰策略,從 110 萬則貼文中抽出敘事結構和攻擊模式。 先介紹 Sakana AI,這家公司 2023 年在東京成立,兩位創辦人來頭都很大:Llion Jones 是 2017 年那篇改變 AI 歷史的論文「Attention Is All You Need」的共同作者(這篇論文催生了 Transformer 架構,也就是現在所有大型語言模型的基礎)。另一位 David Ha 曾在 Google Brain 做研究科學家,更早之前在高盛管日本的固定收益交易部門。Sakana AI 在 2025 年底完成 B 輪募資 1.35 億美元,估值 26.5 億美元,是日本史上估值最高的未上市新創公司。投資人包括三菱 UFJ、NVIDIA、Khosla Ventures 和美國情報機構關聯的 In-Q-Tel。 回到這次的分析,Sakana AI 開發了三項獨特的技術來做這件事。 第一是從貼文的上下文和語氣中提取「敘事」(narrative),而非只靠關鍵字搜尋。舉個例子:一則寫著「要求高市首相撤回錯誤發言」的貼文,AI 從中提取出的敘事是「台灣問題的介入與內政干涉」。用「台灣」這個關鍵字是搜不到這則貼文的,但 AI 讀懂了它在講什麼。 第二是他們自研的「新穎性搜尋」技術,讓三個不同的大型語言模型以集體智慧的方式反覆推論,從社群媒體上挖出高緯度的敘事,再把這些敘事按照抽象層級歸類,形成階層式的可視化圖譜。 第三是假說生成,AI 從分類好的敘事中自動生成大量假說,每個假說都附帶推理過程和具體數據佐證,分析師可以審核、追問、讓 AI 繼續深挖。 最終結果是什麼?AI 從 110 萬則貼文中導出了一個假說:「高市首相在國會答辯後,中國先制定了統一的對日批判策略,然後才發動大規模的社群攻擊。」讀賣新聞接著用傳統新聞手法去驗證,採訪了中日兩國政府相關人士和專家,確認了這個假說的可信度。 Sakana AI 在公告中清楚指出:他們正式把「防衛與情報」列為跟「金融」並列的重點領域。一家日本最有價值的 AI 新創,Transformer 論文共同作者創辦的公司,現在把認知戰分析列為核心業務。 📊 — 📱 Threads / Facebook / 電子報「狐說八道」 #SakanaAI #認知戰 #AI
Sakana AIは、読売新聞社と共同でSNS空間での中国による対日批判を分析しました。独自に開発したAI技術を搭載する当社のシステムが、SNSの膨大なデータから文脈やニュアンスを深く読み取り、批判投稿とナラティブを抽出。その構造を可視化し、さらに実用的な仮説構築までを実行しました。 【記事】 読売新聞(1) yomiuri.co.jp/politics/20260… 読売新聞(2) yomiuri.co.jp/national/20260… 今回の分析に用いたSakana AIの独自AI技術には三つの特徴があります。第一に、投稿文の文脈、ニュアンスからナラティブを抽出することです。例えば「高市首相の誤った発言の撤回を要請」という投稿から「台湾問題への介入と内政干渉」というナラティブを抽出しましたが、これは「台湾」というキーワード検索では発見できないものです。 第二に、独自開発したノベルティー・サーチ技術です。3種類の異なる大規模言語モデル(LLM)が集合知的に推論を重ねてSNS上の重要情報を探索し、粒度の高いナラティブを抽出します。それをさらに抽象度の高いグループにまとめて階層的に可視化することで、情報空間の大きな流れを詳細に把握できます。 第三に、仮説構築です。抽出・分類されたナラティブから、AIが仮説を無数に生成します。判断過程や具体的なデータなどの根拠も示されるため、分析担当者はその内容を精査し、再度分析を指示するなどして、信頼性が高いと考えられる仮説を絞り込むことができます。 今回は、SNSの計110万件にのぼる膨大な投稿の分析から、複数の仮説が導き出されました。このうち、「高市首相の国会答弁後、中国が統一的な対日批判戦略を検討してから大規模な対日批判を開始した」という仮説について、読売新聞が日中双方の政府関係者らに取材し、専門家の意見も踏まえて検証・裏付けを行いました。 AIは人間には見出せないインサイトを発見し、人間はそれを見てAIと対話しながらさらなる分析や対策を検討する--今回の読売新聞社との共同研究はそうした新しい分析の実践の形を示したと考えています。 防衛・インテリジェンス領域においては、本調査で対象とした認知戦をはじめとして、「情報力」の果たす役割がかつてないほど大きくなっています。 Sakana AIはこうした背景も踏まえ、「金融」と並ぶ注力領域として「防衛・インテリジェンス」分野を位置付け、最先端のAI技術を実装する取組を進めています。日本発のAI開発企業として、引き続き防衛・インテリジェンス領域でのAI実装を本格化していきます。
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楽天AI 3.0の件、調べた。 事実: ・基盤はDeepSeek-V3(config.jsonに明記) ・GENIAC第3期で最大5億円の補助(NEDO負担率100%) ・初回公開時にDeepSeekのMITライセンスファイルを削除 ・炎上後に「NOTICE」として再追加 問題はDeepSeek使ったことじゃない。OSSのファインチューニングは正当な手法。 問題は: ①「国産最大級AI」と発表してDeepSeekの名を伏せた ②ライセンスファイルを消した(MIT違反の疑い) ③税金で「国産AI開発」と言いながら実態はファインチューニング 最初から「DeepSeek-V3ベースで日本語最適化しました」と言えば賞賛された話。隠したから炎上した。透明性の欠如が全て。
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「Rakuten AI 3.0」が炎上してる件、問題の本質はDeepSeekを活用したことではなくて、国費プロジェクトとしての透明性にある。 資源で劣る日本企業にとって、優秀なオープンウェイトモデルを基に追加学習するのは世界的にも合理的なアプローチ。オープンモデルとしてDeepSeekは優秀だし、ベースにしたこと自体は問題でない。 問題は、DeepSeekをベースにしたことを隠蔽しようとするその姿勢。 これまで楽天の過去モデルではベースをちゃんと公開してた。例えば、2024年3月のRakuten AI 7Bは、Mistral AIの「Mistral-7B-v0.1」をベースに開発したと公式プレスリリースやHugging Faceのモデルカードで明記してたし、2025年2月のRakuten AI 2.0もMistral-7B由来のエキスパートを基盤にしてることがモデルカードに記されていた。 しかし、今回だけ公式発表資料では「オープンソースコミュニティ上の最良なモデルを基に」とぼかした表現に留まって、DeepSeekの名前は一切出てこない。当初ライセンスファイルからDeepSeek由来の記載を削除してアップロードしてたみたいで、コミュニティの指摘後に復元した経緯もあるから、意図的に隠そうとしたと思わざるを得ない。 それに加えて、素のDeepSeek-V3との比較スコアを一切公開してない点もおかしい。特に尖閣諸島の領土問題や歴史認識、天安門事件など、DeepSeekの問題点として指摘されていた中国寄りの事前バイアスをどれだけ修正できたのか、定量的な検証結果が全く示されてない。 「日本最大規模の高性能AIモデル」と位置づけて、GPT-4oを上回る日本語ベンチマーク結果をPRしてるけど、ベースが中国モデルという事実をぼかすための印象操作にしか見えない。しかもコミュニティ検証では中国寄り回答が残るケースも指摘されてる。 大前提、このモデルは経産省とNEDOが推進するGENIACプロジェクトの一環で、国費の一部が学習費用に使われた国家レベルの成果物。 オープンモデル活用は正しい選択だけど、国費を使った以上「DeepSeek-V3をベースに楽天独自のPost-trainingで日本語性能を○○%向上させ、政治関連質問で中立性を確保した」といった具体的な貢献・成果を公開するのが責任ではないだろうか? これがGENIACで国費を投入したプロジェクトの在り方として正しいだろうか? ※ Hugging Faceに公開されたモデルのconfig.jsonを見ると、model_typeがdeepseek_v3になってて、アーキテクチャやパラメータ構成(総671B、アクティブ37B MoE、コンテキスト128K)がDeepSeek-V3と完全に一致する。つまりRakuten AI 3.0はDeepSeek-V3をベースに日本語特化で追加学習したモデルと考えられる。
日本語特化LLM「Rakuten AI 3.0」提供開始 watch.impress.co.jp/docs/new…
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楽天AI、中身は🇨🇳deepseek…
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最近身邊朋友紛紛不約兒童回歸自架網站寫 blog 與訂閱 rss 的行列,頓時間好像回到 90' 網路剛光起時那美好時光 ( 不知為何說著說著突然也有點衝動想來 vibe 一個靜態網站寫點東西耶~🤠 ( 以下開放推薦優質真人手寫內容的 blog 讓大家開開眼界?🙌🏻
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