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GitHub Copilotの新料金ちゃんと調べたんだけど、思ったよりえぐかった 6/1から「AIクレジット」方式に移行。今までの月$19定額→トークン消費量ベースの従量課金 GitHub公式の言い分が正直すぎて草→「エージェント型だと数回で月額超えるコスト出るから定額は無理」 つまり「便利にしすぎたから値上げします」ってこと 定額使い放題の時代、本当に終わったな、、みんなクレジット残高気にしながらコード書いてる?
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OpenAI 悄悄上线了 Codex for OSS 计划 开源贡献者现在可以申请免费额度,用 Codex 给开源项目写代码。 聪明之处:不直接烧钱换增长,而是把算力投给最有杠杆效应的群体——每个开源 maintainer 背后是成千上万的 downstream 用户。 和 GitHub Copilot 的订阅制比,这是另一种增长逻辑:用开源生态的 network effect 反哺自家产品。 开源开发者们,你们会去申请吗?
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Copilotさん、MS技術に詳しくて便利なんだけど こちらの実力を測って情報を小出しにしてくる気がするな……
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成果物ベースWBS生成の記事は反響がありました。 一方、WBS分析の記事はほとんど反響なし。 なぜだろうと考えた結果、 生成は「今できないことをできるようにする」 分析は「今あるものを少し便利にする」 だからだと思いました。 でも実は分析を試したおかげで、一つ面白いことが分かりました。 AIが理解できるWBSと、理解できないWBSがあるのです。 成果物ベースWBSは前者でした。 note.com/kamokougei/n/nb03f6… #ITコンサル #PMO #WBS #Copilot
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And you brought in the two most vulnerable replacements possible in Copilot and Gemini, which is likely already being exploited.
Three months ago, @DeptofWar kicked @AnthropicAI out of our building—forever. Every passing day proves why that was the right move. 🇺🇸
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Meta was into networking business, they got our llama. Google was in search business, they got into a lot and also into Gemini and vertex AI. Microsoft was into operating systems and word processors , they also got into AI with copilot. Amazon was into online retail, they moved recommendation engines. Netflix was selling video tapes. They also have superb recommendation engines. The fossils of Infosys can give a 1000 excuses after receiving land grants and various subsidies from various state and Central govts. A concerned citizen will definitely rue the lost opportunities missed by the so called best IT leaders in India, when they had billions in profits. Today, India faces a sorry state because of these outdated IT thinkers/leaders !
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Francisco Jiménez Gómez retweeted
OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡search.optimai.network -- OptimAI: the #1 AI on BNB Chain DappBay.
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Thokozani Chemane retweeted
80 AI tools that replace months of work with minutes. 1. 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 - ChatGPT - Copilot - Gemini - Abacus - Perplexity 2. 𝐈𝐦𝐚𝐠𝐞 - Fotor - Dalle 3 - Stability AI - Midjourney - Microsoft Designer 3. 𝐂𝐨𝐩𝐲𝐖𝐫𝐢𝐭𝐢𝐧𝐠 - Rytr - Copy AI - Writesonic - Adcreative AI 4. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 - Jasper - HIX AI - Jenny AI - Textblaze - Quillbot 5. 𝐖𝐞𝐛𝐬𝐢𝐭𝐞 - 10Web - Durable - Framer - Style AI 6. 𝐕𝐢𝐝𝐞𝐨 - Klap - Opus - Eightify - InVideo - HeyGen - Runway - ImgCreator AI - Morphstudio .xyz 7. 𝐌𝐞𝐞𝐭𝐢𝐧𝐠 - Tldv - Otter - Noty AI - Fireflies 8. 𝐒𝐄𝐎 - VidIQ - Seona AI - BlogSEO - Keywrds ai 9. 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 - Droxy - Chatbase - Mutual info - Chatsimple 10. 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 - Decktopus - Slides AI - Gamma AI - Designs AI - Beautiful AI 11. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - Make - Zapier - Xembly - Bardeen 12. 𝐏𝐫𝐨𝐦𝐩𝐭𝐬 - FlowGPT - Alicent AI - PromptBox - Promptbase - Snack Prompt 13. 𝐔𝐈/𝐔𝐗 - Figma - Uizard - UiMagic - Photoshop 14. 𝐃𝐞𝐬𝐢𝐠𝐧 - Canva - Flair AI - Designify - Clipdrop - Autodraw - Magician design 15. 𝐋𝐨𝐠𝐨 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐨𝐫 - Looka - Designs AI - Brandmark - Stockimg AI - Namecheap 16. 𝐀𝐮𝐝𝐢𝐨 - Lovo ai - Eleven labs - Songburst AI - Adobe Podcast 17. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 - Merlin - Tinywow - Notion AI - Adobe Sensei - Personal AI 18. 𝐒𝐨𝐜𝐢𝐚𝐥 𝐦𝐞𝐝𝐢𝐚 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 - Tapilo - Typefully - Hypefury - TweetHunter [Bookmark this post🔖] Smart creators use smart tools — follow @MRB_AI24 for more 🪄👇
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Hot take sikit. Copilot boleh tulis DAX. Tapi dia tak tahu business kau kalau data kau tak jelas. Ramai nampak AI generate chart dan terus rasa dashboard boleh siap sendiri. Masalahnya, dashboard bukan setakat chart.
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Copilotにお願いしたQMA「風」ポスター なぜ「風」なのかは右の通り
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Replying to @liliana_hotsko
How do you defend against hallucinations? And for code you need specific code examples for exact code retrieval. * Cursor⁠ * Claude Code⁠ * GitHub Copilot⁠ still rely heavily on RAG and context retrieval rather than training a custom LoRA per repository.
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Agents Remember Git-verified records for what your coding agents know. A control plane for what they do. Keeps their memory correct, current, and safe to act on as the code moves, captures what code can't say on its own, and gates what agents are allowed to do. Retrieves by path, semantic search, and relationship (code-graph). -- Link in comment Core Features It turns local invariants, naming rules, migration scars, cross-repo contracts, and "this looks safe but is not" facts into versioned Markdown beside the code, checks that memory against Git before use, and updates it only after approved work lands. The markdowns are very similar to Googles new Open Knowledge Format (OKF) but not exact as they predate it. But I plan to adjust them to it. here is how the 1-to-1 pathing looks: src/orchestrator/core_editor.py ar-memory/onboarding/src/orchestrator/core_editor.py.md Path-addressed memory: A source file's note lives at a deterministic mirror path, so an agent holding a file can reach the right context without search, ranking, or guesswork. Git-proven freshness: File notes, route overviews, and entity catalogs are drift-checked against source commits, route scopes, or deterministic fingerprints before they are trusted. Search that finds, not decides: Optional semantic memory and code-graph providers help locate relevant files, callers, dependencies, and concepts, but verified Markdown and source code remain the truth. Memory that lands with code: External memory repos use a memory.md ledger, isolated dual worktrees, preview/apply closeout, and all-or-nothing integration so code and memory stay synchronized. Repo-owned agent behavior: Each memory repo carries system/ files for path rules, tools, coding guidelines, documentation sources, branch policy, and reporting shape, so the same project rules load across harnesses. Harness-ready first run: Starter packages for Claude Code, Codex, Cursor, Antigravity, VS Code Copilot, Hermes, Pi, and OpenClaw carry the native MCP, skills, hooks, rules, and instruction files each harness needs.
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VBAの相談するならCopilotくんよりGeminiくんだな… 数時間前に教えた関数を覚えててくれる…しゅき…
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3ようさん retweeted
What Just Happened It's called Recall, a feature on new Copilot PCs from Microsoft. Recall takes screenshots of your screen every few seconds and creates a searchable history of what you've seen, including websites, chats, and documents. Microsoft says it tries to hide sensitive data like passwords and card numbers, but some security researchers found cases where private information still appeared in saved screenshots. Here's how to check if Recall is turned on and how to disable it if you don't want it tracking your activity.
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重い腰を上げて、ノートPCデータ整理。人生で初めて人工知能(copilot)にモノを尋ね、スマフォの外部メモリもほぼいっぱいなので、データ移動っス。 ナントカ検索機能を駆使してましたが、 人工知能に助力を願う世界に、やっと一歩踏み出しました。
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6月Copilot开始按Token计费了(以前是按调用次数 😭😭😭),Coding爱好者表示烧钱很伤! 充值了 Deepseek-v4 Pro发现不错,顺滑集成到Copilot,平替 Claude Sonnet 4.6基本不出错。 链接在这里:platform.deepseek.com/ #vibecoding #deepseek #copilot #计费
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New shirt idea: "I submitted a vuln to MSRC and all I got what Copilot in Paint"
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This is a good point. Of the 3 million who die each year in USA, half a million die from smoking-related causes. I've asked Copilot to plot smoking rates and lung cancer rates. It collated data for 30 US states and provided me with this chart. I'll share the table in the comment to this tweet. ...2
Smoking still kills 480K Americans annually. BUT. Your squeezy juice no longer has red dye in it. Public health triumphs yet again.
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