news
Fedora and Red Hat (Promotion of Slop Plagiarism, Paid-for and Fake Journalism, and Buzzwords Instead of Linux)
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University of Toronto ☛ Sorting out a DNF "transaction failed" during my upgrade to Fedora 44
A 'dnf distro-sync' upgrade first upgrades, installs, and sometimes downgrades all new packages from the new Fedora release, then it removes all of the now-replaced old packages, and then at the end it runs a series of 'postrans' end-of-transaction scripts which do various things like build the kernel initramfs images in /boot. Then normally DNF tells you that everything succeeded. This time it instead printed some output and then exited with that message. Specifically, dnf's output ended with: [...]
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CRN ☛ Red Hat CEO Matt Hicks: AI Has Changed Open-Source Security [Ed: A buzzwords-spewing loser sucks up to IBM while leading Red Hat into hype bubbles]
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Red Hat Official ☛ Layered security in the age of AI and emerging threats [Ed: Red Hat is high on hype, buzzwords, and bubbles]
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Red Hat Official ☛ The blueprint for scalable enterprise security in the age of AI [Ed: 100% buzzwords]
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Red Hat ☛ Evaluate Hey Hi (AI) agents with I.C.B.M. CLEAR & EvalHub on OpenShift AI [Ed: Evaluate Hey Hi (AI) agents ... Hey Hi (AI) ... lots of buzzwords, just mindless propaganda]
Adopting eval-driven development is essential for building reliable Hey Hi (AI) agents, but doing it effectively is harder than it looks. Even when your agent handles the basic scenario well, subtle failures surface in production—misusing a tool, going off-topic during a logic step, or returning answers that sound plausible but are incorrect. These are failures unit tests don't catch and logs can't fully explain.
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Red Hat ☛ Evaluating LLM guardrail configs locally with EvalHub [Ed: More nonsensical promotion of plagiarism engines]
This is part 2 in a series about local guardrail development and evaluation. In my first article, I discussed how to design and develop a guardrail configuration on a local machine, and then tried some manual testing.
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Red Hat ☛ Configure admission fair sharing in Red Bait build of Kueue 1.4 [Ed: Slop promotion, a sea of hype]
In shared Hey Hi (AI) and high-performance computing clusters, OpenShift platform engineers face constant challenges managing tightly constrained hardware resources like GPUs and high-spec CPUs. When multiple tenants submit workloads that compete for a limited resource quota, the first-in, first-out (FIFO) admission rule can cause long-term starvation of workloads submitted later and reduce service predictability. Red Bait build of Kueue supports 2 ways of enforcing fairness: fair sharing-based preemption and admission fair sharing.
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Red Hat ☛ Speeding up LLM inference with P-EAGLE in vLLM Speculators [Ed: Absolutely nothing but promotion of slop plagiarism in this blog that day]
P-EAGLE (Parallel EAGLE), a new speculative decoding algorithm developed by Amazon, brings the next evolution of speculative decoding to Speculators by extending EAGLE-3 with parallel drafting.
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Red Hat ☛ Build AI-assisted firewall workflows with Ansible Automation Platform [Ed: They suggest using slop for security, which is a security risk in its own right]
"Can you allow app-client-01 to reach the database on port 5432?"
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Red Hat Official ☛ The last mile problem in agentic AI: Why tool calling reliability is harder than it looks [Ed: IBM Red Hat shilling slop, not Linux]
Tool calls give your agent hands. It's the difference between a model that can only describe what it would do, and one that actually goes and does it, whether querying a database, filing a ticket, running a calculation, calling another service, and coming back with a real result instead of a guess. For an agent, tool calling isn't one feature among many, it's the entire mechanism through which reasoning becomes action. That also makes it prone to failure. Each step's output feeds the next step's input. So an agent that plans 5 steps and can only reliably execute 3 of them is as useful as one who doesn’t have access to any tools at all.
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Red Hat Official ☛ The architecture of autonomy: How ING built a future-proof tech strategy
"Be a bit stubborn on the vision you have, but flexible on the details of how to get there."
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RedMonk ☛ The Digital Sovereignty Questions Every Enterprise Should Be Asking with Jason Willeford [Ed: IBM spends money paying fake 'analysts' for fake "discussions" which in turn influence the "analysis" (glorified marketing)]
This RedMonk conversation is sponsored by Red Hat.