26 Aprile 2026

• Debian DSA-6230-1 Chromium Critical Code Exec DoS Fixes

  Security issues were discovered in Chromium which could result in the execution of arbitrary code, denial of service, or information disclosure. For the oldstable distribution (bookworm), these problems have been fixed in version 147.0.7727.116-1~deb12u1.
• Debian DSA-6229-1 Thunderbird Critical Code Exec Issues

  Multiple security issues were discovered in Thunderbird, which could result in the execution of arbitrary code. For the oldstable distribution (bookworm), these problems have been fixed in version 1:140.10.0esr-1~deb12u1. For the stable distribution (trixie), these problems have been fixed in
• Debian Trixie cpp-httplib Critical Denial of Service DSA-6228-1

  Multiple security issues were discovered in cpp-httplib, a C++ cross platform HTTP/HTTPS library, which could result in denial of service. For the stable distribution (trixie), these problems have been fixed in version 0.18.7-1+deb13u1. We recommend that you upgrade your cpp-httplib packages.

• Building a Center of Excellence for Ansible
  As Ansible adoption grows, a challenge can arise: How do organizations track automation efforts across the entire enterprise? A common solution is to establish a Center of Excellence (CoE) for Ansible, helping organizations move from isolated automation efforts to a scalable, coordinated enterprise strategy. What is a Center of Excellence for Ansible?A CoE for Ansible is a group responsible for setting automation standards and promoting Ansible’s collaborative open source nature. The CoE acts as an enablement and governance body, allowing for more effective automation across the organization
• When less is more: Why less precision and fewer parameters carry enterprise AI
  Running Llama 70B as an on-demand cloud inference endpoint costs roughly $16,000 per month. Running Llama 8B costs about $734. For teams where an 8B model meets the quality bar for their workload, that gap is very hard to ignore.The question enterprise teams are asking is rarely, "how do we get the most powerful model?" It is almost always, "how do we get a model that's fast enough, accurate enough, and affordable enough to run reliably in our environment?" Those are different questions, and they often lead to different answers, pointing toward smaller models more often than teams expect.The c

26 Aprile 2026

• 7.0: mainline

  Version:	7.0 (mainline)
  Released:	2026-04-12
  Source:	linux-7.0.tar.xz
  PGP Signature:	linux-7.0.tar.sign
  Patch:	full

• 7.0.1: stable

  Version:	7.0.1 (stable)
  Released:	2026-04-22
  Source:	linux-7.0.1.tar.xz
  PGP Signature:	linux-7.0.1.tar.sign
  Patch:	full
  ChangeLog:	ChangeLog-7.0.1

• 6.19.14: stable

  Version:	6.19.14 (EOL) (stable)
  Released:	2026-04-22
  Source:	linux-6.19.14.tar.xz
  PGP Signature:	linux-6.19.14.tar.sign
  Patch:	full (incremental)
  ChangeLog:	ChangeLog-6.19.14