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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ArgoCD: A Practical Guide to GitOps on Kubernetes

ArgoCD tackles giant deployments head-on, operating with a cunning pull-based model inside Kubernetes clusters. This clever move slashes the risk from exposed API keys and tightens security.LoveHolidays? They're jazzed. Their deploys skyrocket—over 1500 times a month. It’s a testament to ArgoCD's kn.. read more

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AWS Introduces Extended Threat Detection for EKS via GuardDuty

AWSGuardDutycranks up EKS security using slickeBPFagents. These agents snag threats like reverse shells and crypto mining directly at the container level. No fuss with user-deployed agents needed. GuardDuty shrugs off traditional security headaches, nudging cloud giants like AWS toward smarter, hass.. read more

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

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Containerizing AI: Hands-On Guide to Deploying ML Models With Docker and Kubernetes

Containerization bundles ML model code and dependencies for reproducibility and portability, easing scaling and isolating environments. Kubernetes automates management for seamless deployments and scalability, guaranteeing consistent performance... read more

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

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How I Stopped Worrying About Costs and Learned to Love Kubernetes

Deploying a punyHello Worldapp on Kubernetes? Brace yourself. The meter's running even before your first visitor stumbles in—over$150/monthjust for the control plane. Solution? EnterRackspace Spot. Slash that tab by up to76%using bargain-basement servers that practically pay you at $0.001/hour, plus.. read more

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

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Hackers Exploit Misconfigured Docker APIs to Mine Cryptocurrency via Tor Network

Wiz Researchdives headfirst into the murky depths of150,000 cloud accounts. They unearth glaring vulnerabilities, pointing fingers at major lapses in data exposure and slipshod access controls... read more

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

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State of App Dev: AI

64% of users find AI tools actually lighten the workload, yet 59% roll their eyes at the hype—function outshines flash.But behind the curtain, data prep still plays villain, tripping up 24% of AI builders... read more

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

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Streamlining application deployment on Kubernetes at RBC Capital Markets: A journey with FluxCD

RBC FinSec Incubatorlaunched with Rogers Cybersecure Catalyst to support fintech and cybersecurity startups in meeting financial sector needs... read more

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

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Announcing Argo CD v3.1

Argo CD v3.1rolls out the red carpet forOCI registries. Now you can grab Kubernetes manifests just like container images. Security and portability take center stage. Meet the new Hydrator updates, which stitch dry commits to code, making traceability sleeker and UI displays sharper... read more

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

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Enforce admission policies with artifact attestations in Kubernetes using OPA Gatekeeper

OPA Gatekeeperups the ante on Kubernetes security. How? By enforcingGitHub Artifact Attestationswith the flair of a seasoned bouncer. Non-compliant images now get the boot before they even think about deployment... read more

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

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Kubernetes configuration as code – Gitea and ArgoCD

ArgoCDbrings serious application management chops to the table. But when it meets existingHelmsetups, chaos might ensue—junk those old secrets to clear the path... 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.