Arnd Bergmann sent new patches cleaning up Linux's x86 32-bit kernel code, now possible after older 32-bit CPUs were dropped. The changes remove lingering AMD Elan remnants and make the 32-bit code more like x86_64. TSC support and CX8 (Compare and Exchange 8 Bytes) are now unconditional. The kernel now requires a minimum of 64 byte cache lines, and 32-bit instruction set selection is simplified. The patch series is posted on LKML.
Source: https://www.phoronix.com/news/Linux-2026-x86-32-bit-Cleanup. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
Read the news here, practice coding, follow structured courses and train for IELTS on our sibling products — all connected through one 8 Sync account.
The ecosystem home: product overviews, blog and full pricing.
ExploreLearn along a clear roadmap: videos, auto-graded quizzes, certificates and mentors who ship for a living.
View the roadmap1,000 DSA problems in Vietnamese, auto-graded across 7 languages — many FREE, right in your browser.
Practice for freeAI grading for all four IELTS skills with detailed rubric feedback.
Try it freeA 22 MB AI IDE for Vietnamese devs.
Download freeOrganizational memory for AI agents.
ExploreAI that staffs your Fanpage and qualifies leads for you.
Try itUnderstanding how malicious actors infiltrate networks is the first step to building resilient infrastructure. To help developers and aspiring security analysts learn the fundamentals of offensive sec
Software was slowing down my Pi.
malloc has a very nice and simple interface: you ask for a certain amount of memory, and you’re given a void pointer to your block of contiguous bytes that’s been magicked into existence. Once you’re done with it, you call free with the same pointer and the memory disappears into the ether.
Learn how to set up a Tailscale exit node on your Linux server and securely route internet traffic through your home connection while away.
RAG (Retrieval-Augmented Generation) và Agentic RAG là hai phương pháp xử lý thông tin khác nhau trong lĩnh vực AI. RAG hoạt động bằng cách truy vấn vector database để tìm thông tin liên quan trước khi tạo câu trả lời, ví dụ như với vector database có thể chứa hàng triệu document embeddings. Agentic RAG thêm vào một agent có khả năng tự suy luận, cho phép hệ thống tự động xác định cần tìm thêm thông tin hay không, như trường hợp của OpenAI's GPT-4 với function calling. Sự khác biệt chính là Agentic RAG có khả năng tự chủ trong việc quyết định cần làm gì tiếp theo thay vì chỉ phụ thuộc vào kết quả truy vấn ban đầu. Đây là kiến thức quan trọng để hiểu sự tiến hóa từ RAG cơ bản đến các hệ thống thông minh hơn có khả năng tự điều chỉnh.
Bài viết này giúp bạn hiểu rõ sự khác biệt cơ bản giữa RAG và Agentic RAG để áp dụng hiệu quả vào các dự án AI.
Learn how to configure Tailscale subnet routing to securely access your home network remotely without installing Tailscale on every device.
Postgres 18’s new file_copy_method = clone setting lets you give every git worktree its own copy of your database in seconds, without eating up your disk.
Here are a few distros that are making it possible for you to run Linux on Apple Mac. Read the fine prints though, as not all M processors are supported.
Loading comments…