Updates and recent posts about GPT-5.4..

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@faun shared a link, 1 year ago

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Dual-Stack: Cilium Complementary Features

Trade inRKE2 Nginxfor the nimbleCilium Gateway API. It cranks up your Layer 7 filtering, routing, and security magic—no BGP machine needed. And withCilium LB IPAM, IP addresses scatter across your local network like it’s confetti time... read more

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@faun shared a link, 1 year ago

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Run Kubernetes Clusters for Less with Amazon EC2 Spot and Karpenter

Karpenterbrings some much-needed swagger toAWS EKSclusters with its clever auto-scaling tricks. It grabsEC2 Spot Instancesand slashes costs by a dazzling90%for stateless, flexible workloads. Imagine dynamic nodes practically springing to life, optimized compute horsepower unleashed, and interruption.. read more

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@faun shared a link, 1 year ago

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Enhancing Kubernetes Event Management with Custom Aggregation

Kubernetes Eventshold the keys to your cluster's secrets, but when event torrents flood in, finding the gems takes effort. An avalanche of alerts tests your patience, bandwidth, and sanity. Enter custom event aggregation miracles: they slice troubleshooting tedium from weeks to minutes. By stitching.. read more

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@faun shared a link, 1 year ago

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Connecting Applications to Self-Service Datastores

Self-service datastore delivery just got easier with Kubernetes init containers and mutating admission webhooks automating secrets provision and rotation securely, simplifying developer workflows and enhancing data security... read more

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From Kafka to Ray: Deploying AI and Stateful Workloads on AKS with Confidence

Azure's new AKS guides slice through the fog around deployingKafka,Apache Airflow, andRay. Spotlights shine onJVM tuningmagic for Kafka and a peek atKubeRaywrangling distributed Ray... read more

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@faun shared a link, 1 year ago

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Introducing the Certified Cloud Native Platform Engineering Associate (CNPA): Community-Driven Certification for Platform Engineers

The CNPA cert isn't just a piece of paper—it's your ticket to proving you're a maestro of platform engineering. Think automation, observability, and making life easier for developers. Created by the CNCF and Linux Foundation, with a little help from over 50 tech visionaries, it's tailor-made for tho.. read more

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@faun shared a link, 1 year ago

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Save Millions on Your Cloud Bill: 11 Strategies for Kubernetes Cost Optimization

Cloud budgets take a 28% hit.Money vanishes like socks in a dryer. Tame the chaos by closely watching usage and putting Kubernetes on autopilot. Cost control starts with crystal-clear visibility and bold tweaks to cluster autoscaler settings. Custom schedulers and spot nodes can slash expenses, but .. read more

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@faun shared a link, 1 year ago

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No SSH? What Is Talos, This Linux Distro for Kubernetes?

Talos Linuxflips the script: an unyielding file system, managed by API magic, and says goodbye to SSH forever. Built forKuberneteson just about any platform. Yes, even those Raspberry Pis hiding in your drawer... read more

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@faun shared a link, 1 year ago

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Announcing Multigres: Vitess for Postgres

Supabasehas a bold mission: makePostgresfly with their new project,Multigres. Inspired byVitessfor MySQL, they're gunning for seamless Postgres compatibility. Supabase hums along as usual, but keep an eye onOrioleDB—it's about to team up with Multigres and stir things up... read more

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Publishing AI models to Hub

Docker Model Runnerstruts out with new tricks:tag, push, and packagecommands. Want to pass around AI models like they're hot potatoes? Now you can. They're OCI artifacts now, slotting smoothly into your workflow like it was always meant to be... 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.