Updates and recent posts about GPT-5.4..

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@faun shared a link, 1 year ago

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Traffic meter per ASN without logs

asncounterswiftly deciphers IP traffic from logs intoASNsand prefixes. Unveils who's pounding your servers quicker than you can saybot army. Ban bots; watch page load times sprint while traffic drops like a rock. But don't kid yourself—bot vampires love a good door to knock on... read more

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@faun shared a link, 1 year ago

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Mountpoint for Amazon S3 now lets you automatically mount your S3 buckets using fstab

Mountpoint for Amazon S3now cracks the fstab problem. It auto-mounts S3 buckets when an EC2 instance comes online, securing those settings even after a reboot. Consider the convenience nailed... read more

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@faun shared a link, 1 year ago

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The Windows Subsystem for Linux is now open source

The Windows Subsystem for Linux (WSL) has been open-sourced, with its code now available on GitHub at Microsoft/WSL. WSL is made up of distribution components that run both within Windows and inside the WSL 2 virtual machine. This open-source release is part of the evolution of WSL, which has seen s.. read more

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@faun shared a link, 1 year ago

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Improving EC2 boot time from 4s to 2.8s to accelerate builds

Revving upUbuntu 24.04for a speedier boot, we ditched dead weight likesnaps, AppArmor, andcloud-init—trimminguserspace boottime from 4 to2.8 seconds. BanishingIPv6address checks and pruningsystemdservices likejournaldshaved off more precious milliseconds. Next on the chopping block: kernel modules a.. read more

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@faun shared a link, 1 year ago

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How To Start Strong In Your First Week As An Engineering Manager

The first week as an engineering manager (EM) involves preparing for meetings with the team, other managers, and supervisors, as well as talking to one's own manager to understand expectations and priorities. It's crucial to reintroduce oneself to the team, even if promoted from within the company, .. read more

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@faun shared a link, 1 year ago

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Google Study: 65% of Developer Time Wasted Without Platforms

Platform engineering rescues 65% of developer time usually tossed to the wind, activating productivity and shrinking expenses.No shocker,86% call it key to unlocking AI's potential, while a brisk71% of leaders sprint to market faster.Going it solo? Hardly—96% harness open source tools and 84% team u.. read more

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@faun shared a link, 1 year ago

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X (Twitter) was down — what happened during major outage that stretched into weekend

Xis still on the struggle bus. DMs? Still glitching, after a full day of chaos. Rumor has it, a fire at an Oregon data center might be the culprit. Oh, and two-factor authentication? Down for the count too... read more

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@faun shared a link, 1 year ago

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DR 101: Assembling Your Incident Response Team

A disaster recovery plan relies on a coordinated incident response team. The speed and coordination of this team are crucial for minimizing downtime and keeping the organization running smoothly during a crisis. Key roles within the incident response team include incident commander, technical lead, .. read more

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@faun shared a link, 1 year ago

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Announcing Red Hat Enterprise Linux for AWS

RHEL 10for AWS makes its debut, complete with AWS-tailored performance profiles, beefed-up security, and a seamless CLI. Ready to tango with the cloud like a pro... read more

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@faun shared a link, 1 year ago

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Shared Database Pattern in Microservices: When Rules Get Broken

Every shared access point is a potential failure point. The risks are real and can be catastrophic. Safe implementation includes strict data ownership, schema change protocol, data integrity protection, and auditing. Moving to a structured API layer and data separation can help mitigate risks and pl.. 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.