Updates and recent posts about GPT-5.4.. Link
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@abc_01 shared a link, 1 year ago
The Evolution of String Handling in Java: From Legacy to Lambdas
Hey, ever stopped to think about how Java handles all the text we throw at it every day? Well, get ready for a wild ride through the evolution of Java string handling! It’s a journey packed with performance secrets and clever tricks, I promise! 😉 Seriously, did you know a modern string can take upha.. read more
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@arshadmas shared a post, 1 year ago
Product Marketer, manageengine
Challenges in synthetic monitoring
Synthetic monitoring is a vital technique used to replicate user actions on a website or application in order to evaluate speed, availability, and functionality. It plays a crucial role in helping organizations maintain a seamless online presence and deliver a flawless user experience. However, desp..
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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID
🚨 Critical Infrastructure Under Cyber Threat
Nova Scotia Power recently suffered a major data breach, impacting customer data and disrupting essential services like billing and online access for over half a million people. These attacks are not just IT issues — they're national resilience issues. At RELIANOID, we help utility providers and cri..
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9
Windows Error Logs: Your Guide to Simplified Debugging
Windows error logs hold clues to what’s going wrong. Learn how to read them and make debugging faster and less frustrating.
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9
Kubernetes Logs: How to Collect and Use Them
Understand how to collect, manage, and troubleshoot Kubernetes logs to keep your applications running smoothly and issues easy to debug.
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9
Docker Container Lifecycle: Key States and Best Practices
Explore the key stages of the Docker container lifecycle and learn best practices to manage containers efficiently and reliably.
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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID
🚀 BeDIGITAL 2025 – We’re heading to Bilbao! 🇪🇸
From June 3–5, RELIANOID will be at BeDIGITAL 2025, the key event for driving industrial digital transformation. 🔹 Live demos 🔹 Real-world use cases 🔹 Powerful networking 🔹 Part of +INDUSTRY, Spain’s biggest smart manufacturing showcase 📍 Let’s connect in Bilbao and explore how RELIANOID’s networkin..
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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID
🚨 Cyberattacks don’t take weekends off.
In Spain, 75% of ransomware attacks happen on weekends or public holidays. Why? Reduced staff and lower vigilance. 🔒 At RELIANOID, we protect your systems 24/7—because cybersecurity isn’t just a Monday-to-Friday job. 👉 Revisit this essential article: https://www.relianoid.com/blog/weekend-vulnerabil..
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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID
RELIANOID soon at NAISS!
🔐 RELIANOID at NAISS 2025 – Austin, TX 📅 June 1–3, 2025 | 📍 Hilton Austin Hotel We’re excited to announce that RELIANOID will be attending the North American Information Security Summit (NAISS) — a premier gathering of cybersecurity leaders, innovators, and strategists. What’s on the agenda? ✅ Execu..
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.
