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News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks ago
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Anthropic unveils three infrastructure bugs behind Claude's performance issues

Anthropic resolves infrastructure bugs affecting Claude AI performance, revises processes to prevent future disruptions across AWS, NVIDIA, and Google platforms.

News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks ago
FAUN.dev()

ChatGPT Launches Interactive Apps with New Apps SDK Preview

ChatGPT

ChatGPT introduces an app ecosystem with an Apps SDK Preview, enabling developers to create interactive applications integrated into conversations, initially available to non-EU users with partners like Booking.com and Spotify.

News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks ago
FAUN.dev()

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.

News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks ago
FAUN.dev()

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.

News FAUN.dev() Team
@devopslinks shared an update, 2 months, 2 weeks ago
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Qovery Secures $13M Series A to Boost DevOps Automation Platform

Kubernetes

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, 2 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..

Japan's Active Cyberdefence Law
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@laura_garcia shared a post, 2 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..

Blog Asia reaches 50 percent IPv6 capability
Story
@laura_garcia shared a post, 2 months, 2 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..

itsa nuremberg
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@faun shared a link, 2 months, 2 weeks ago
FAUN.dev()

Writing Load Balancer From Scratch In 250 Line of Code

A developer rolled out a fully working **Go load balancer** with a clean **Round Robin** setup—and hooks for dropping in smarter strategies like **Least Connection** or **IP Hash**. Backend servers live in a custom server pool. Swapping balancing logic? Just plug into the interface... read more  

Writing Load Balancer From Scratch In 250 Line of Code
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@faun shared a link, 2 months, 2 weeks ago
FAUN.dev()

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  

Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.