Open-source News

Mozilla AI Releases Llamafile 0.10.4 With New Transcribefile Built On Transcribe.cpp

Phoronix - Fri, 07/17/2026 - 18:07
Mozilla AI developers have released a new version of Llamafile, their solution for easy-to-use LLMs as a single file that work across hardware and operating systems. With Llamafile 0.10.4 is now Transcribefile, as a new piece built off their recently announced Transcribe.cpp project...

OpenBLAS 0.3.34 Improves Multi-Threading, Support For A Memory-Safe C Toolchain

Phoronix - Fri, 07/17/2026 - 17:58
OpenBLAS 0.3.34 released on Thursday as this popular, open-source BLAS library providing optimized support for a variety of CPUs/architectures. OpenBLAS 0.3.34 continues working on squeezing more performance out of today's processors as well as delivering other new features...

Yazi: Fast Rust-Based Terminal File Manager for Linux

Tecmint - Fri, 07/17/2026 - 15:56
The post Yazi: Fast Rust-Based Terminal File Manager for Linux first appeared on Tecmint: Linux Howtos, Tutorials & Guides .

Yazi is a terminal-based file manager written in Rust that lets you browse, preview, and manage files. It uses asynchronous

The post Yazi: Fast Rust-Based Terminal File Manager for Linux first appeared on Tecmint: Linux Howtos, Tutorials & Guides.

Frame: A New X11 Server Implementation Written Entirely In x86_64 Assembly

Phoronix - Fri, 07/17/2026 - 08:50
Previously we covered YSERVER as an X11 server written in the Rust programming language with the help of Claude Code. A Phoronix reader wrote in today to share an even more esoteric X11 server implementation that has come about and again written in large part by AI/LLM usage: Frame is an X11 server written in pure x86_64 Assembly...

Why your AI agent framework isn't enough: 7 platform capabilities missing from production

Red Hat News - Fri, 07/17/2026 - 08:00
Your agent works. I know it does. You built it on LangChain or CrewAI or something custom, you tested it against real scenarios, and it handled them. The problem isn't the agent. The problem is everything around it.In "Why good AI agents fail in production: The missing infrastructure layer," 3 failures hit a single AI agent deployment overnight—43 duplicate support tickets, $4,000 charged to the wrong billing account, and a hallucinated refund policy that led to a $280 return the company had to honor. That agent worked perfectly in development, but broke in production because the production

Introducing Red Hat build of Karpenter

Red Hat News - Fri, 07/17/2026 - 08:00
Achieving infrastructure efficiency and controlling compute costs is a continuous effort. While traditional machine pools are effective for steady workloads, scaling diverse applications often requires balancing cloud utilization with the effort spent manually right-sizing instances, all while providing continuous node availability when compute demands spike. To help achieve this balance, we are introducing the Red Hat build of Karpenter, based on the upstream Karpenter project. With the release of Red Hat OpenShift 4.22, Red Hat build of Karpenter can be enabled on Red Hat OpenShift Service o

Friday Five — July 17, 2026

Red Hat News - Fri, 07/17/2026 - 08:00
InfoWorld - Red Hat OpenShift 4.22 tackles cloud costs, AI workloadsInfoWorld looks at Red Hat OpenShift 4.22, the latest version of Red Hat's hybrid cloud application platform. The release focuses on cutting cloud infrastructure costs, simplifying operations of virtualized workloads, and securing sensitive data. Learn more Technically Speaking - Defining sovereign AI with open source ft. Jered FloydWhat happens to your business operations when your AI workflows run on a proprietary black box? Red Hat CTO Chris Wright and Jered Floyd break down the 4 pillars of sovereign AI and challenge com

Agentic AI, Red Hat OpenShift, and NVIDIA: Shifting to precision security

Red Hat News - Fri, 07/17/2026 - 08:00
Red Hat is pioneering the use of agentic AI to shift vulnerability management from volume to precision. By combining the security-hardened foundation of Red Hat OpenShift with advanced AI frameworks from NVIDIA, we're delivering actionable security intelligence that provides genuine business value for the enterprise. Here's the problem: A single software package can trigger hundreds of alerts because one imported function or library within it is theoretically vulnerable. Traditional scanners stop at the package level, generating a flood of false positives for vulnerabilities that are never act

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