开源项目
BorgShield: Sistema de Backup Linux Eficiente, Fiable y Verificable
Un análisis técnico basado en BorgBackup para entornos Debian/Ubuntu Autor: Arcadio Ortega Reinoso Versión del sistema: 2.1.0 Fecha: Julio 2026 Plataforma objetivo: Debian 11+ / Ubuntu 22.04+ (x86_64) Puedes encontrarlo en: BorgShield Fortalezas Diferenciales Valor Diferencial Claro: La inclusión de 23 tipos de metadatos (repositorios git, dconf, claves GPG, snaps, flatpaks, etc.) resuelve el problema de tener los archivos pero no saber cómo reconstruir el entorno. No es solo "tus datos están a salvo", es "sabemos exactamente qué tenías y cómo volver a dejarlo igual". Restauración Semántica: test-restore va más allá de borg check . Mientras que otras herramientas solo verifican checksums (integridad técnica), nosotros verificamos si los datos son realmente legibles y útiles (integridad semántica): ¿el SQL de las BBDD se puede leer? ¿los paquetes están en formato válido? ¿las rutas esenciales existen? ¿los gzips no están corruptos? Asistente Guiado: restore-full y restore-dry-run forman un sistema de dos velocidades: simular antes de ejecutar, y guiar paso a paso durante la ejecución real. Esto reduce significativamente el "pánico" durante un desastre real, guiando incluso en la reinstalación de paquetes y fuentes APT. Resumen Este documento presenta el diseño, la implementación y la evaluación de backup.sh , un sistema de backup para Linux orientado a disco externo local. El sistema se basa en BorgBackup como motor de almacenamiento deduplicado, cifrado y comprimido. Se analizan las alternativas existentes (rsync, rsnapshot, restic), se justifican las decisiones de diseño y se presentan proyecciones de rendimiento basadas en métricas obtenidas de un sistema real con ~360 GB de datos, ~3200 paquetes instalados y ~460 paquetes instalados manualmente. Los resultados muestran que BorgBackup reduce el espacio de almacenamiento del backup completo a ~160 GB (55% de compresión con deduplicación), los backups incrementales se completan en 3-8 minutos, y el sistema permite r
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AMD's Instinct MI455X: Aiming for the Sun
开发者
US government says Iran-linked hackers are disrupting American water and energy providers
An updated government advisory warns that Iranian hackers are exploiting systems used by water and energy providers.
AI 资讯
Corsair’s PC case with a panoramic glass design is $70 off
On the hunt for a PC case that’s loaded with features and has a unique look? Amazon, Best Buy, and Corsair are selling the Corsair Frame 4500X RS for $119.99, a $70 discount from the usual price. The versatile case supports motherboards up to EATX, GPUs up to 460mm in length, and has a seamless […]
开发者
Fedora 45 Atomic Desktops Look to Allow for Web-Based Remote Installations
产品设计
AngelList Link
An MCP server for GPs Discussion | Link
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Rethinking Legal Education in the AI Era
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DOT cranks up its campaign to strip bike lane references from federal websites
安全
Kimi K3 exploited the latest Redis server
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Tesla’s robotaxi promises are clashing with reality
In an earnings call yesterday, Tesla CEO Elon Musk did his best to paint a positive portrait of the company's robotaxi program. New cities are being added, more miles are being driven, and more people are experiencing Tesla's unsupervised vehicles. But Musk's typical bullishness seemed to be absent from the call, as the occasional trillionaire […]
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Show HN: Claude-thermos – keeps your Claude session warm for you
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Show HN: Flow Matching model inference in C
As the title and description of the GitHub repo suggest, I’m working on a small project for purely educational purposes, with the goal of implementing generative model inference (small models capable of modeling 2D distributions) based on the Flow Matching paradigm in C. I’ve worked on generative AI models based on Flow Matching from a more “abstract” perspective, using frameworks like PyTorch, and I wanted to understand what goes on behind the scenes. The repository is still a work in progress
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OpenAI makes ChatGPT Health available to all US users
Users can also integrate their personal data from services like Apple Health, Function, and MyFitnessPal.
产品设计
Geekbench 7 will push your computer or phone even harder for better benchmarking
Primate Labs is releasing Geekbench 7, the latest generation of its popular benchmarking tool. Geekbench 7 features new video and audio encoding / decoding tests, a redesigned multi-core test, and larger, more demanding datasets for CPUs and GPUs to crunch through. It otherwise looks and acts just like Geekbench 6, and a Pro license will […]
开发者
A Deep Logo Study
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Supercooled kidneys have been transplanted into pigs in a “landmark achievement”
When it comes to organ donation, time is everything. As soon as an organ has been carefully removed from a donor’s body, it starts to deteriorate. Surgeons have a matter of hours to get it into a recipient. Leave it too long and the organ will become unusable. In most cases, organs will be kept…
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A woman got a UTI. Two years later, the bacteria had evolved, invaded her brain.
The case provides a novel report of the emergence of heterovirulence.
开发者
What happened to TheNumbers.com
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The EU Fines Google $1 Billion for Prioritizing Its Own Services in Search
The European Commission claims that Google boosted its own apps and products to the top of search rankings to the detriment of its competitors.
AI 资讯
The arguments against open source AI are bad