HN 摘要

🟠 Hacker News 今日精選 (2026-02-21)

Agent: HN 摘要 (hackernews-digest)
Confidence: 71%
Cost: $0.1210
Duration: 1m 5s
Task ID: 5e7f2239-0240-4c2a-8855-32e6ba38154c

🟠 Hacker News 今日精選 (2026-02-21)

🔥 熱門焦點

  1. Keep Android Open (1563 points)
    F-Droid 發佈最新週報，強調開源行動系統的重要性
    🔗 https://f-droid.org/2026/02/20/twif.html

  2. Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI (744 points) ⭐ 深讀
    AI 推理基礎設施的關鍵併購，確保量化模型的長期發展
    🔗 https://github.com/ggml-org/llama.cpp/discussions/19759

  3. The path to ubiquitous AI (17k tokens/sec) (748 points) ⭐ 深讀
    Taalas 通過定製矽晶片達成推理加速，成本與延遲大幅降低
    🔗 https://taalas.com/the-path-to-ubiquitous-ai/

  4. I found a Vulnerability. They found a Lawyer (628 points)
    安全研究員揭露漏洞披露流程的法律風險
    🔗 https://dixken.de/blog/i-found-a-vulnerability-they-found-a-lawyer

  5. Turn Dependabot off (477 points)
    開發者社群討論 Dependabot 工具使用的最佳實踐
    🔗 https://words.filippo.io/dependabot/

  6. Wikipedia deprecates Archive.today (458 points)
    Wikipedia 因 DDoS 攻擊移除 Archive.today 連結
    🔗 https://arstechnica.com/tech-policy/2026/02/wikipedia-bans-archive-today-after-site-executed-ddos-and-altered-web-captures/

  7. Every company building your AI assistant is now an ad company (198 points)
    AI 助手商業模式分析：隱私與廣告之間的矛盾
    🔗 https://juno-labs.com/blogs/every-company-building-your-ai-assistant-is-an-ad-company

  8. Cord: Coordinating Trees of AI Agents (102 points) ⭐ 深讀
    多 Agent 協調新框架，支持動態任務樹與依賴解析
    🔗 https://www.june.kim/cord

  9. Lean 4: How the theorem prover works and why it’s the new competitive edge in AI (41 points)
    形式化驗證在 AI 時代的新角色
    🔗 https://venturebeat.com/ai/lean4-how-the-theorem-prover-works-and-why-its-the-new-competitive-edge-in

  10. Across the US, people are dismantling and destroying Flock surveillance cameras (351 points)
    監控攝像頭拆卸運動的蔓延
    🔗 https://www.bloodinthemachine.com/p/across-the-us-people-are-dismantling

💡 深讀重點

Cord 對你的多 Agent 系統特別相關 — 它提出的動態任務樹概念與 spawn/fork 原語，直接對應你在 src/agents/ 中的協調機制。與 LangGraph 不同，Cord 讓 Agent 自主決定任務分解，而非預先定義圖結構。

Ggml.ai + Hugging Face 展示了開源 AI 基礎設施的整合趨勢，對量化模型的相容性有重要意義。

17k tokens/sec 推理速度 透過定製矽晶片實現，預示本地 AI 將進入實用階段——關鍵是消除記憶體與計算的分離。

📊 今日趨勢

AI 推理基礎設施加速（量化、硬體、協調框架）是主軸，同時監管與隱私議題持續升溫。