Updates and recent posts about GPT-5.4..

Posts
Description

Link

@faun shared a link, 8 months ago

FAUN.dev()

v1.34: Of Wind & Will (O' WaW)

Kubernetes v1.34 drops with58 updates, and23 just hit stable. Highlights: Dynamic Resource Allocation (DRA), per-Pod resource limits, and secure image pulls using Pod-specific ServiceAccount tokens. Scalability gets a lift from streaming list responses. Security tightens with finer anonymous auth r.. read more

Link

@faun shared a link, 8 months ago

FAUN.dev()

From Novice to Pro: Mastering Lightweight Linux for Your Kubernetes Project

Alpine, Flatcar, Fedora CoreOS, Talos, and Ubuntu Core are carving out strong niches as Kubernetes-first base OSes. Each leans into immutability, container-native design, and just enough system overhead to get out of the way. That lean profile isn’t just a flex—it means lower resource drag and a de.. read more

Link

@faun shared a link, 8 months ago

FAUN.dev()

Kubernetes v1.34 brings networking refinements for cloud-native infrastructure

Kubernetes 1.34 comes packed withnetworking upgradesbuilt for scale. Less overhead. Fewer headaches. Easier to run big clusters without sweating packet flows. This triannual release keeps pushing the envelope for both cloud-native setups and the on-prem diehards... read more

Activity

@kkz7777 gave 🐾 to The future of observability is developer-native: A deep dive into the next wave of diagnostics , 8 months ago.

Story

@laura_garcia shared a post, 8 months ago

Software Developer, RELIANOID

💡 What is a VIP Load Balancer?

AVIP (Virtual IP)load balancer distributes traffic across multiple servers using a single IP. It ensures: ✅ Scalability ✅ High availability ✅ Session persistence ✅ Smart traffic routing 🚀RELIANOIDtakes VIP load balancing to the next level with: 🔒 SSL offloading 📊 Dynamic health monitoring ⚖️ Advance..

Link

@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

A Practical Guide to Python Application Performance Monitoring(APM)

Monitor, debug, and optimize Python apps in production with APM—track transactions, DB queries, errors, and external calls.

Story

@idjuric660 shared a post, 8 months ago

Technical Content Writer, Mailtrap

How to Send Emails from Supabase using SMTP or Email API

Whether you’re confirming user signups, sending notifications, or automating workflows, Supabase makes it easy to integrate and send emails with SMTP or third-party APIs. And in this guide, I’ll walk you through every step of the process, including: - Sending emails using Supabase Auth[click here to..

Link

@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

APM Logs: How to Get Started for Faster Debugging

Understand how APM logs connect metrics, traces, and events to speed up debugging and uncover root causes faster.

Link

@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

OpenTelemetry API vs SDK: Understanding the Architecture

Understand how the OpenTelemetry API and SDK work together, clean instrumentation in code, and flexible data processing in configuration.

Link

@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

What is Database Monitoring

Database monitoring tracks performance, health, and availability, helping detect issues early and maintain optimal operations.

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.