Google DeepMind Launches Gemini 2.5 Model for Enhanced API Performance
Google DeepMind releases Gemini 2.5 model, enhancing API performance for browser and mobile tasks with lower latency and improved UI interaction.
Updates and recent posts about GPT-5.4.. News FAUN.dev() Team
@kala shared an update, 6 months, 2 weeks ago
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Anthropic Launches Petri: Open-Source Tool for AI Safety Audits
Anthropic introduces Petri, an open-source tool for automating AI safety audits, revealing risky behaviors in leading language models.
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@devopslinks shared an update, 6 months, 2 weeks ago
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Qovery Secures $13M Series A to Boost DevOps Automation Platform
Qovery raises $13M Series A to enhance its DevOps automation platform, addressing the DevOps engineer shortage and supporting regional expansion and AI-driven development.
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@laura_garcia shared a post, 6 months, 2 weeks ago
Software Developer, RELIANOID
Japan’s new Active Cyberdefence Law
Japan’s new Active Cyberdefence Law (ACD) is redefining how the nation tackles cyber threats — shifting from a defensive stance to a proactive cybersecurity strategy. Key measures include: ⚙️ Authority to neutralize hostile servers 🤝 Closer public–private collaboration 📢 Mandatory breach reporting A..
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@laura_garcia shared a post, 6 months, 2 weeks ago
Software Developer, RELIANOID
Asia Hits 50% IPv6 Capability — A Global Milestone
- Asia has reached a major internet milestone: 50% of its systems are now IPv6 capable, positioning the region as a global leader in IPv6 user adoption. - Why this matters: - India (78.1%) and China (810M users) are driving this growth. - Historical IPv4 scarcity in Asia helped fuel early IPv6 inves..
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@laura_garcia shared a post, 6 months, 3 weeks ago
Software Developer, RELIANOID
🚀 RELIANOID is heading to it-sa Expo&Congress 2025!
📍 Nuremberg, Germany | October 7–9, 2025 🔒 Europe’s largest IT security event with 900+ exhibitors, expert talks & global networking. We’ll be there to showcase how RELIANOID helps businesses stay ahead of evolving cyber threats. 👉 See you in Nuremberg! Send us a DM to make an appointment. #itSa2025..
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@faun shared a link, 6 months, 3 weeks ago
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Authentication Explained: When to Use Basic, Bearer, OAuth2, JWT & SSO
Modern apps don’t just check passwords—they rely on **API tokens**, **OAuth**, and **Single Sign-On (SSO)** to know who’s knocking before they open the door... read more
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@faun shared a link, 6 months, 3 weeks ago
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Organize your Slack channels by “How Often”, not “What” - Aggressively Paraphrasing Me
One dev rewired their Slack setup by **engagement frequency**—not subject. Channels got sorted into tiers like “Read Now” and “Read Hourly,” cutting through noise and saving brainpower. It riffs off the **Eisenhower Matrix**, letting priorities shift with projects, not burn people out... read more
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@faun shared a link, 6 months, 3 weeks ago
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Privacy for subdomains: the solution
A two-container setup using **acme.sh** gets Let's Encrypt certs running on a Synology NAS—thanks, Docker. No built-in Certbot support? No problem. Cloudflare DNS API token handles auth. Scheduled tasks handle renewal... read more
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@faun shared a link, 6 months, 3 weeks ago
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Users Only Care About 20% of Your Application
Modern apps burst with features most people never touch. Users stick to their favorite 20%. The rest? Frustration, bloat, ignored edge cases. Tools like **VS Code**, **Slack**, and **Notion** nail it by staying lean at the core and letting users stack what they need. Extensions, plug-ins, integrati.. read more
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.
