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      <news:title>DeepSeek V4 Flash Generous Weekly Limits Impress High-Volume Developers</news:title>
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      <news:title>Щедрі щотижневі ліміти DeepSeek V4 Flash вражають розробників</news:title>
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      <news:title>Block Releases Buzz: Self-Hosted Nostr Workspace for Human and AI Agent Collaboration</news:title>
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      <news:title>Block випускає Buzz: self-hosted простір на базі Nostr для співпраці людей та AI-агентів</news:title>
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      <news:title>Prevent Cognitive Debt by Retyping Agent-Generated Code Manually</news:title>
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      <news:title>Запобігання когнітивному боргу через ручне перенабирання коду від штучного інтелекту</news:title>
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      <news:title>Rethinking LLM Co-Authorship and Developer Accountability in Pull Requests</news:title>
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      <news:title>Переосмислення авторства LLM та відповідальності розробника у пулл-реквестах</news:title>
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      <news:title>Orchestrating Technical Documentation via Claude Code Agent Skills and Forensics</news:title>
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      <news:title>Оркестрація технічної документації через навички агентів Claude Code та форензіку</news:title>
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    <loc>https://aitodaybrief.com/en/news/local-llms/nixos-module-enables-reproducible-ai-workloads-on-nvidia-dgx-spark</loc>
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      <news:title>NixOS Module Enables Reproducible AI Workloads on NVIDIA DGX Spark</news:title>
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      <news:publication_date>2026-08-02T23:04:16Z</news:publication_date>
      <news:title>Модуль NixOS забезпечує відтворюваність ШІ-навантажень на NVIDIA DGX Spark</news:title>
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      <news:title>Context Preservation Techniques to Prevent Token Burn in Claude Workflows</news:title>
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      <news:title>Техніки збереження контексту для запобігання перевитраті токенів у Claude</news:title>
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      <news:title>JFrog Exposes Batch of Fabricated SQLite CVEs Generated by LLMs</news:title>
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      <news:title>JFrog Викриває Пачку Сфабрикованих CVE для SQLite, Згенерованих LLM</news:title>
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      <news:title>Nightcrawler Deploys Autonomous Local Model Context Protocol Pentesting Agents to Mobile Devices</news:title>
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      <news:title>Nightcrawler запускає автономних локальних агентів пентестингу з Model Context Protocol на смартфонах</news:title>
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