AWS Optimizer Targets Unused NAT Gateways for Cost Savings
AWS Compute Optimizer now helps identify unused NAT Gateways to boost cost savings by analyzing traffic activity and route table associations.
Updates and recent posts about GPT-5.4..
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@devopslinks shared an update, 4 months ago
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GitLab Uncovers Massive npm Attack - Developers on High Alert
GitLab's team discovers a large-scale npm supply chain attack with malware that spreads through npm packages, threatening data destruction if disrupted.
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@devopslinks added a new tool GitHub , 4 months ago.
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@laura_garcia shared a post, 4 months ago
Software Developer, RELIANOID
𝘐𝘯 𝘤𝘢𝘴𝘦 𝘺𝘰𝘶 𝘮𝘪𝘴𝘴𝘦𝘥 𝘪𝘵: Europe’s skies disrupted
Cyberattack on Collins Aerospace’s MUSE platform We shared this analysis a few months ago, but given the relevance of the topic and the growing impact of cyberattacks on critical infrastructure, it’s definitely worth resurfacing. The incident forced major airports like Heathrow, Brussels, and Berlin..
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@kala shared an update, 4 months ago
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DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests
DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.
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@anjali shared a link, 4 months ago
Customer Marketing Manager, Last9
9 Monitoring Tools That Deliver AI-Native Anomaly Detection
A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.
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@kala added a new tool DeepSeekMath-V2 , 4 months ago.
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@kala shared an update, 4 months ago
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A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
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@kala added a new tool INTELLECT-3 , 4 months ago.
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.
