Updates and recent posts about GPT-5.4..

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@faun shared a link, 7 months, 1 week ago

FAUN.dev()

v1.34: Decoupled Taint Manager Is Now Stable

Kubernetes 1.34 graduates the taint eviction controller to GA. Now, the node lifecycle controller only applies taints, while a dedicated taint eviction controller manages pod eviction. First split in 1.29, now stable in 1.34... read more

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@laura_garcia shared a post, 7 months, 1 week ago

Software Developer, RELIANOID

Secure Boot Advanced Targeting (SBAT): Scaling Boot Security 🔐

Discover how SBAT enhances Secure Boot by introducing a smarter way to handle vulnerabilities, reducing overhead, and ensuring your system's boot process stays secure. Learn how it works, how it addresses scalability, and why it's a game-changer for modern boot security across Linux and Windows envi..

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@laura_garcia shared a post, 7 months, 1 week ago

Software Developer, RELIANOID

Cyber Security & Cloud Expo Europe in Amsterdam

🔐 On 24–25 September 2025, RELIANOID will be at Cyber Security & Cloud Expo Europe in Amsterdam! Join us to explore how we enable secure, scalable, and Zero Trust–ready application delivery. 👉 https://www.relianoid.com/about-us/events/cyber-security-cloud-expo-2025/ #CyberSecurity#Cloud#ZeroTrust#De..

cybersecurity and cloud expo amsterdam event

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@laura_garcia shared a post, 7 months, 1 week ago

Software Developer, RELIANOID

Cyber Security & Cloud Expo Europe in Amsterdam

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@laura_garcia shared a post, 7 months, 1 week ago

Software Developer, RELIANOID

🔐 Industrial networks face increasing complexity and evolving cyber threats.

To strengthen defenses, many organizations are moving beyond traditional segmentation and adopting microsegmentation — a strategy that creates independent, secure zones to better protect critical assets. We’ve prepared a clear diagram to illustrate how defense-in-depth and microsegmentation can be a..

Industrial Zero-Trust Micro-Segmentation

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@anjali shared a link, 7 months, 1 week ago

Customer Marketing Manager, Last9

What is Asynchronous Job Monitoring?

Know how asynchronous job monitoring tracks background tasks, ensuring they finish reliably, perform well, and stay visible at scale.

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@laura_garcia shared a post, 7 months, 1 week ago

Software Developer, RELIANOID

🚀 We’re heading to TechEx Europe 2025 in Amsterdam on 24–25 September!

Join us at Europe’s premier enterprise technology event to explore the future of AI, cybersecurity, IoT, cloud, and digital transformation—and discover how RELIANOID ensures secure, scalable, and high-performance application delivery for modern enterprises. #TechExEurope#DigitalTransformation#Enterp..

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@anjali shared a link, 7 months, 1 week ago

Customer Marketing Manager, Last9

Kubernetes Service Discovery Explained with Practical Examples

Understand Kubernetes Service Discovery with clear examples of Services, Endpoints, DNS, Ingress, and headless setups in action.

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@faun shared a link, 7 months, 2 weeks ago

FAUN.dev()

Esoteric Languages Challenge Coders to Think Way Outside the Box

Daniel Temkin has written a book about44 esoteric programming languages, including Valence, which uses ancient Greek measuring symbols. Temkin emphasizes the significance of esoteric languages in promoting creativity and investigating the complicated nature of modern programming. These languages hav.. read more

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@faun shared a link, 7 months, 2 weeks ago

FAUN.dev()

Is Java Still Used? Current Trends and Market Demand in 2025

Java’s not just hanging on in 2025—it’s running the show. Over 90% of the Fortune 500 still trust it to power cloud platforms, big data pipelines, and IoT sprawl. What’s keeping it sharp? A brisk six-month release cadence. A battle-hardened ecosystem through OpenJDK and Jakarta EE. And a JVM that k.. 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.