Updates and recent posts about GPT-5.4..

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@faun shared a link, 11 months, 2 weeks ago

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Interesting Kubernetes application demos

Kubeappsis your backstage pass to deploying and controllingK8sapps with style. Dive into a treasure chest ofHelmcharts ready to roll. For those looking to jazz up a demo, unleashKubedoomorKubevaders. Obliteratepodsfor stress-testing, or just because you can. Craving some retro-futuristic fun? Check .. read more

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@faun shared a link, 11 months, 2 weeks ago

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Kernel-level container insights: Utilizing eBPF with Cilium, Tetragon, and SBOMs for security

eBPF, Cilium'sTetragon, andSBOMsare the dream team for exposing real-time kernel-level drama inside containers. When these powers combine, they hunt down surprise breaches likeLog4Shellwith a sleuth's precision. Bonus: they shave off20%fromCPU usagewhile they're at it... read more

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@faun shared a link, 11 months, 2 weeks ago

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Changes to Kubernetes Slack

The Kubernetes gang will cling to their premium Slack status a while longer. But come 2025, free Slack will beckon. Discord’s got its eye on the scene too, whispering sweet promises of GitHub sync and other shiny toys... read more

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@faun shared a link, 11 months, 2 weeks ago

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NSEnter and Kubernetes

nsenteris your backstage pass to aKubernetesnode. It plays with Linux namespaces, crashing through isolation walls for a direct look inside. Summon it withPID1 and proper permissions, and you're deep in the node's core. No middleman required... read more

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@faun shared a link, 11 months, 2 weeks ago

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Publishing a Docker container for Microsoft Edit to the GitHub Container Registry

Edithits GitHub's Container Registry like a buzzsaw, powered by Docker. Built forApple Silicon, it ridesAlpinelike a speed demon. No fuss, just raw efficiency... read more

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@faun shared a link, 11 months, 2 weeks ago

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F5, Inc Announces New Capabilities for F5 BIG-IP Next for Kubernetes

F5, Inc. announced new capabilities for F5 BIG-IP Next for Kubernetes in collaboration with NVIDIA Corporation. The F5 BIG-IP Next for Kubernetes will be accelerated with NVIDIA’s BlueField-3 DPUs and the NVIDIA DOCA software framework... read more

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@faun shared a link, 11 months, 2 weeks ago

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Why Chose OCI Artifacts for AI Model Packaging

Docker Model Runner injects LLMs into OCI artifacts, seamlessly marrying model delivery with container rituals. No need to invent custom toolchains. Think uncompressed "layers"—they're the secret sauce for faster, sharper, more efficient Model-Runner magic. It's not just a change; it's a quantum lea.. read more

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@faun shared a link, 11 months, 2 weeks ago

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What Would a Kubernetes 2.0 Look Like

Kubernetesrewrites the rulebook on infrastructure. Suddenly, scaling isn't a headache—it's an art. But then there'sYAML. With its peculiar quirks and knack for screwing up, it feels more like a punchline than a solution. EnterHelmand its template circus, juggling dependencies with all the grace of a.. read more

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@faun shared a link, 11 months, 2 weeks ago

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F5 Unleashes Innovation with Powerful New AI Capabilities on BIG-IP Next for Kubernetes on NVIDIA BlueField-3 DPUs

TheModel Context Protocol (MCP)just crashed the party, turning heads and flipping tables with its focus on tailor-made AI setups. EnterAI factoriesandNeoclouds—souped-up cloud havens crafted to power-hungry AI demands. Handle with care, because these bad boys redefine what's possible... read more

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@faun shared a link, 11 months, 2 weeks ago

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State of App Dev: Security

Securityisn’t just for the IT crowd anymore. Everyone's on duty.Only 1%of developers bother to look the other way. A mere20%of organizations throw money at outsiders to handle it. The real trip wire? Planning. It derails teams faster than you'd believe... read more

GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.