brrrMake devices go brrr brrr brrr Just push notifications for your devices. That’s it.
Thoughts on slowing the fuck down
Sponsored by: WorkOS — Ready to sell to Enterprise clients? Build and ship securely with WorkOS. Thoughts on slowing the fuck down. Mario Zechner created the Pi agent framework used by OpenClaw, giving considerable credibility to his opinions on current trends in agentic engineering. He's not impressed: We have basically given up all discipline and agency for a sort of addiction, where your highes
RubyGems/Bundler ã«ãŠã‘ã‚‹ Cooldown 機能ã®è°è«–ã¨ç¾çŠ¶ - ANDPAD Tech Blog
ã“ã‚“ã«ã¡ã¯ã€Ruby コミッタã®æŸ´ç”°ã§ã™ã€‚最近ã¯æš–ã‹ããªã‚Šã€ã‚¬ãƒ¼ãƒ‡ãƒ‹ãƒ³ã‚°ã§æ ½åŸ¹ã—ã¦ã„ã‚‹ãƒãƒ©ã‚„è—¤ã®æ–°èŠ½ã‚„花芽ãŒå‡ºã¦ãる時期ã«ãªã£ã¦ããŸã®ã§ã€ã—ã£ã‹ã‚ŠèŠ±ã‚’å’²ã‹ã›ã‚‹ã‚ˆã†ã«è–¬å‰¤ã‚„肥料ã®æº–備をã—ãªã‘ã‚Œã°ã€œã¨å¿…è¦ãªã‚‚ã®ã®è²·ã„物計画を立ã¦ã¦ã„る真ã£æœ€ä¸ã§ã™ã€‚ 今回ã¯ã‚µãƒ—ライãƒã‚§ãƒ¼ãƒ³ã‚»ã‚ュリティã®å¯¾ç–ã¨ã—ã¦ä»–ã®ã‚¨ã‚³ã‚·ã‚¹ãƒ†ãƒ ã§å°Žå…¥ãŒé€²ã‚“ã§ã„る「Cooldown（クールダウン）ã€æ©Ÿèƒ½ã‚’紹介ã—ã€ç§ãŒãƒ¡ãƒ³ãƒ†ãƒŠãƒ³ã‚¹ã—ã¦ã„ã‚‹ RubyGems 㨠Bundler ã§ã‚‚å°Žå…¥ã™ã‚‹ã¹ãã‹æ¤œè¨Žã—ãŸèƒŒæ™¯ã¨ã€ä»Šå¾Œã®æ–¹å‘性ã«ã¤ã„ã¦ãŠè©±ã—ã—ã¾ã™ã€‚ Cooldown ã¨ã¯ä½•ã‹ Cooldown ã¨ã¯ã€ãƒ‘ッケージã®æ–°ã—ã„ãƒãƒ¼ã‚¸ãƒ§ãƒ³ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¦ã‹ã‚‰ä¸€å®šæœŸé–“ãŒçµŒéŽã™ã‚‹ã¾ã§ã€ãã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¸ã®æ›´æ–°ã‚’è¡Œã‚ãªã„よã†ã«ã™ã‚‹ä»•çµ„ã¿ã§ã™ã€‚ ã“ã®æ©Ÿèƒ½ã®ä¸»ãªç›®çš„ã¯ã‚µãƒ—ライãƒã‚§ãƒ¼ãƒ³æ”»æ’ƒã®ç·©å’Œã§ã™ã€‚悪æ„ã®ã‚るコードãŒå«ã¾ã‚ŒãŸãƒ‘ッケージãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸå ´åˆã€
Beyond Semantic Similarity: Introducing NVIDIA NeMo Retriever’s Generalizable Agentic Retrieval Pipeline
We are thrilled to announce that NVIDIA NeMo Retriever team has developed a new agentic retrieval pipeline that has officially secured the #1 spot on the ViDoRe v3 pipeline leaderboard. In addition, this exact same pipeline architecture achieved the #2 spot on the highly demanding, reasoning-intensive BRIGHT leaderboard. In the rapidly evolving landscape of AI retrieval, many solutions are highly
The Voyage 4 model family: shared embedding space with MoE architecture
TL;DR – We’re excited to introduce the Voyage 4 series, a new generation of text embedding models featuring industry-first shared embedding spaces. The series includes voyage-4-large, voyage-4, voyage-4-lite, and the open-weighted voyage-4-nano. All models produce compatible embeddings, allowing customers to mix and match models for query and document embedding based on their specific accuracy, la
Static Word Embeddings for Sentence Semantic Representation
Online ISSN : 2185-8314 Print ISSN : 1340-7619 ISSN-L : 1340-7619
第5回　体力vs.スã‚ル | gihyo.jp
最近ã€ã‚¸ãƒ 通ã„ã‚’ã¯ã˜ã‚ã¾ã—ãŸã€‚最åˆã¯å„„劫（ãŠã£ãã†ï¼‰ã§ã—ãŸãŒã€æ…£ã‚Œã¦ãã‚‹ã¨ä½“ã‚’å‹•ã‹ã™ã®ã‚‚良ã„ã§ã™ã。ãŸã ã€è‡ªåˆ†ã®ä½“ã®è¼ªéƒãŒã ã‚“ã ã‚“æ°—ã«ãªã‚Šã¯ã˜ã‚ã€ã‚¸ãƒ ã‚’é—Šæ©ï¼ˆã‹ã£ã½ï¼‰ã™ã‚‹ç‹éª¨éš†ã€…ã®ç”·ãŸã¡ã‚’眺ã‚ãªãŒã‚‰ç”³ã—訳ãªã„æ°—æŒã¡ã«ãªã£ãŸã‚Šã—ã¦ã„ã¾ã™ã€‚ è·æ¥ãƒ—ãƒã‚°ãƒ©ãƒžã§ã‚ã‚‹ç§ã«ã‚¹ãƒãƒ¼ãƒ„é¸æ‰‹ã®ã‚ˆã†ãªç‹è‚‰ãŒãªãã¦ã‚‚ã€ãã‚Œã¯ä»•æ–¹ãŒã‚ã‚Šã¾ã›ã‚“。代ã‚ã‚Šã«å°‚é–€ãŸã‚‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã§ãªã‚‰ãã“らã®éžå°‚門家ã«ã¯è² ã‘ãªã„ã¯ãšã§ã™â€¦â€¦ã¨è¨€ã„ãŸã„ã¨ã“ã‚ã§ã™ãŒã€ã©ã†ã§ã—ょã†ã€‚スãƒãƒ¼ãƒ„é¸æ‰‹ã®ç‹è‚‰ã«ä¸¦ã¹ã¦æ¥ã˜ãªã„プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°åŠ›ã‚’ã€ã©ã‚Œã ã‘ã®ãƒ—ãƒã‚°ãƒ©ãƒžãŒæŒã£ã¦ã„ã‚‹ã®ã§ã—ょã†ã€‚ãã‚‚ãもプãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã§ç‹è‚‰ã«ã‚ãŸã‚‹ã‚‚ã®ã¯ä½•ãªã®ã§ã—ょã†ã‹ã€‚ ç†è€…ã®å‹¤å‹™å…ˆã«ã¯ç«¶æŠ€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®å‡ºèº«è€…ãŒå¤šãã„ã¾ã™ã€‚競技プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã¨ã¯ã€ä¸Žãˆã‚‰ã‚ŒãŸå•é¡Œã«ç”ãˆã‚‹ã‚³ãƒ¼ãƒ‰ã‚’書ã„ã¦ã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã®é€Ÿåº¦ã‚„æ£ç¢ºã•ã‚’競ã†ã‚²ãƒ¼ãƒ ã§ã™ã€‚TopCoderã‚„ICPC（Internat
Amplifying — AI Benchmark Research
Featured Study Edwin Ong & Alex Vikati · feb-2026 · claude-code v2.1.39 What Claude Code Actually ChoosesWe pointed Claude Code at real repos 2,430 times and watched what it chose. No tool names in any prompt. Open-ended questions only. 3 models · 4 project types · 20 tool categories · 85.3% extraction rate Update: Sonnet 4.6 was released on Feb 17, 2026. We'll run the benchmark against it and upd
Anti-patterns: things to avoid - Agentic Engineering Patterns
There are some behaviors that are anti-patterns in our weird new world of agentic engineering. Inflicting unreviewed code on collaborators This anti-pattern is common and deeply frustrating. Don't file pull requests with code you haven't reviewed yourself. If you open a PR with hundreds (or thousands) of lines of code that an agent produced for you, and you haven't done the work to ensure that cod
You Need to Rewrite Your CLI for AI Agents
npx skills install jpoehnelt/skills/agent-dx-cli-scale Human DX optimizes for discoverability and forgiveness. Agent DX optimizes for predictability and defense-in-depth. These are different enough that retrofitting a human-first CLI for agents is a losing bet. I built a CLI for Google Workspace — agents first. Not “built a CLI, then noticed agents were using it.†From Day One, the design assumpti
Agent Ready: 技術部ãŒæŒ‘ã‚€AIエージェントå‰æã®æŠ€è¡“基盤ã¥ãã‚Š - Pepabo Tech Portal
ã“ã‚“ã«ã¡ã¯ã€ãƒšãƒ‘ボã§æŠ€è¡“部部長をã—ã¦ã„ã‚‹kenchanã§ã™ã€‚「閃光ã®ãƒã‚µã‚¦ã‚§ã‚¤ã€3作目ãŒå…¬é–‹ã•ã‚Œã‚‹ã¾ã§å¥åº·ã§ã„ã‚‹ãŸã‚ã«ã€é‹å‹•ã‚’å†é–‹ã—ã¾ã—ãŸã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€ãƒšãƒ‘ボ技術部ã®2026å¹´æ–¹é‡ã€ŒAgent Readyã€ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ç§ãŸã¡ãŒã“ã®æ–¹é‡ã«è‡³ã£ãŸèƒŒæ™¯ã¨ã€å…·ä½“çš„ã«ä½•ã‚’ã‚„ã‚ã†ã¨ã—ã¦ã„ã‚‹ã®ã‹ã‚’ãŠä¼ãˆã§ãã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ 技術部ã¯ã€GMOペパボã®å…¨äº‹æ¥éƒ¨é–€ã«ã‚ãŸã‚‹ã‚¤ãƒ³ãƒ•ãƒ©ãƒ»ãƒ‡ãƒ¼ã‚¿åŸºç›¤ãƒ»æƒ…å ±ã‚·ã‚¹ãƒ†ãƒ ï¼ˆã‚³ãƒ¼ãƒãƒ¬ãƒ¼ãƒˆã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ï¼‰ã®3ã¤ã‚’横æ–çš„ã«æ‹…ã†éƒ¨é–€ã§ã™ã€‚ãƒãƒªãƒãƒƒãƒ—ï¼ã‚„ムームードメインã¨ã„ã£ãŸãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã‚µãƒ¼ãƒ“スã€ã‚«ãƒ©ãƒ¼ãƒŸãƒ¼ã‚·ãƒ§ãƒƒãƒ—・minne・SUZURIãªã©ã®EC・ãƒãƒ³ãƒ‰ãƒ¡ã‚¤ãƒ‰ãƒ—ラットフォームã®ã‚¤ãƒ³ãƒ•ãƒ©é‹ç”¨ã‹ã‚‰ã€å…¨ç¤¾ã®ãƒ‡ãƒ¼ã‚¿åŸºç›¤ã®æ•´å‚™ã€ç¤¾å†…ITã®æ•´å‚™ãƒ»é‹ç”¨ã¾ã§ã€å„事æ¥éƒ¨ãŒãƒ—ãƒãƒ€ã‚¯ãƒˆé–‹ç™ºã«é›†ä¸ã§ãるよã†æŠ€è¡“çš„ãªåœŸå°ã‚’支ãˆã¦ã„ã¾ã™ã€‚ ã¯ã˜ã‚ã«: ãªãœä»Šã€ç§ãŸã¡ã¯ã€Œå‰æã€ã‚’書ãæ›ãˆã‚‹ã®ã‹
2026å¹´3月2æ—¥ | æ —æž—å¥å¤ªéƒŽ
昨晩ã¯ã€å¯åºŠã§è°·å£ã‚¸ãƒ§ã‚¤ã€Ž[ã‚る言語å¦è€…ã®äº‹ä»¶ç°¿](https://www.amazon.co.jp/dp/B0GQ249J7L?tag=antipop-22)ã€ã‚’èªäº†ã€‚é¢ç™½ã‚¨ãƒƒã‚»ã‚¤ã‚’書ã言語å¦è€…ãŒå¢—ãˆã¦ã„る。 ã„ã¤ã‚‚通りã®æ™‚é–“ã«èµ·åºŠã€‚花粉症ã®è–¬ã®ã›ã„ã‹ã€ã¡ã‚‡ã£ã¨ã ã‚‹ã„。リトルKã‚’ä¿è‚²åœ’ã«é€ã‚‹ã€‚昨日åçœã—ãŸé€šã‚Šã€ã‚¬ãƒŸ...
GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
Compile classical ML models to native C. Serve them in microseconds. Documentation · Changelog · PyPI · Technical Paper · Agent Skill Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, or ONNX (tree ensembles, linear models, SVMs) — runs it through a multi-pass optimizing compiler, and emits a self-contained C99 inference artifact with zero runtime dependencies. A built-i
Agentic Engineering Patterns - Simon Willison's Weblog
Sponsored by: Postman — Every API your agents depend on, mapped and monitored. See what's new Agentic Engineering Patterns Patterns for getting the best results out of coding agents like Claude Code and OpenAI Codex. See my introduction for more on this project. Principles Writing code is cheap now Hoard things you know how to do Anti-patterns: things to avoid Testing and QA Red/green TDD First ru
僕ã¯è‡ªåˆ†ãŒæ€ã£ã¦ã„ãŸã»ã©ã¯é ãŒã‚ˆããªã‹ã£ãŸ - ã—ã®ã”ã®éŒ²
Redditã§è©±é¡Œã«ãªã£ã¦ã„ãŸãƒã‚¹ãƒˆã‚’訳ã—ã¦ã¿ãŸã€‚ 僕ã¯è‡ªåˆ†ãŒæ€ã£ã¦ã„ãŸã»ã©ã¯é ãŒã‚ˆããªã‹ã£ãŸã¨ã„ã†é«˜æ ¡ç”Ÿã®ç‹¬ç™½ã«ãŸã„ã—ã¦ã¤ã‘られãŸã“ã®ã¡ã‚‡ã£ã¨é•·ã‚ã®è¿”ä¿¡ãŒã¨ã¦ã‚‚的確ã§ç¤ºå”†ã«å¯Œã‚“ã§ãŠã‚Šã€å¤šãã®äººã®ã“ã“ã‚ã‚’ã¤ã‹ã‚“ã§ã„ã¾ã—ãŸã€‚ç§è‡ªèº«ã€å‹‡æ°—ã¥ã‘られるã¨ã„ã†ã‹èº«ã«ã¤ã¾ã•ã‚Œã‚‹ã¨ã“ã‚ãŒã‚ã‚Šã€å¿˜ã‚Œãªã„ãŸã‚ã«ç¿»è¨³ã‚’ã—ã¦ã¿ã¾ã—ãŸã€‚ ã¾ãšã¯é«˜æ ¡ç”Ÿã®ç‹¬ç™½ã‹ã‚‰ã€‚ 僕ã¯è‡ªåˆ†ãŒæ€ã£ã¦ã„ãŸã»ã©ã¯é ãŒã‚ˆããªã‹ã£ãŸ 僕ã¯ã„ã¾é«˜æ ¡ã®æœ€çµ‚å¦å¹´ã§ã€æ¬¡ã®ï¼–月ã«å’æ¥ã™ã‚‹äºˆå®šã§ã™ã€‚é«˜æ ¡ã®æˆç¸¾ã¯ã€ã„ã¾ã¾ã§ãšã£ã¨Aã‚’å–ã‚Šã¤ã¥ã‘ã¦ã„ã¾ã—ãŸãŒã€åŽ»å¹´å§‹ã‚ã¦Bã‚’ã¨ã£ã¦ã—ã¾ã„ã¾ã—ãŸã€‚ã‚‚ã—ãã®BãŒãªã‘ã‚Œã°ã€å’æ¥ç”Ÿç·ä»£ã«é¸ã°ã‚Œã¦ã„ãŸã§ã—ょã†ã€‚ ç·ä»£ã«ãµã•ã‚ã—ã„ã®ã¯è‡ªåˆ†ã ã€ã¤ã¾ã‚Šã‚¯ãƒ©ã‚¹ã§æœ¬å½“ã«ä¸€ç•ªé ãŒã„ã„ã®ã¯è‡ªåˆ†ã ã¨æ€ã„ãŸã„ã§ã™ã€‚ã§ã‚‚ã“ã®ä¸€å¹´ã§ã€åƒ•ã«ãã‚Œã»ã©ã®çŸ¥æ€§ã¯ãªã„ã—ã€åƒ•ã‚ˆã‚Šé ã®ã„ã„人ã¯ãŸãã•ã‚“ã„ã‚‹ã‚“ã ã¨ã„ã†ã“ã¨ã‚’æ€ã„知らã•ã‚Œã¾ã—ãŸã€‚ ã¾ãŸåƒ•ã¯ã€è‡ªåˆ†
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Gemini Embedding 2: Our first natively multimodal embedding model
Clinejection — Compromising Cline’s Production Releases just by Prompting an Issue Triager
GitHub - googleworkspace/cli: Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
MindOne: Card-Sized AI Phone with Free Global Internet Built-In | iKKO
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