GitHub Copilot Adds GPT-5.2 With Long-Context and UI Generation
OpenAI unveils GPT-5.2 for GitHub Copilot, enhancing software engineering with improved long-context reasoning and UI generation, integrated with Microsoft Azure and NVIDIA.
Updates and recent posts about Gemini 3..
News FAUN.dev() Team
@kala shared an update, 7 hours ago
FAUN.dev()
GPT-5.2 Quietly Beats Human Experts at Knowledge Work
OpenAI releases GPT-5.2, enhancing professional tasks with improved speed and cost-effectiveness, now available for paid users in ChatGPT and via API.
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@laura_garcia shared a post, 1 day, 12 hours ago
Software Developer, RELIANOID
RELIANOID at CII Delhi International Technology Summit 2025
16–17 December 2025 - New Delhi, India Our team continues a packed December schedule, and we’re excited to add another key event: the CII Delhi International Technology Summit 2025. Focused on “Accelerating the Techade”, this summit brings together industry, government, and research leaders to shape..
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@anjali shared a link, 1 day, 16 hours ago
Customer Marketing Manager, Last9
OTel Updates: OpenTelemetry Proposes Changes to Stability, Releases, and Semantic Conventions
OpenTelemetry proposes stability changes: stable-by-default distributions, decoupled instrumentation, and epoch releases for production deployments.
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@laura_garcia shared a post, 2 days, 9 hours ago
Software Developer, RELIANOID
deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform
🚀 New Technical Guide Available! You can now deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform in just a few minutes: ✔️ Install prerequisites (Terraform, Azure CLI, SSH keys) ✔️ Use the official Terraform module from the Registry ✔️ Automatically provision all Azure r..
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@pixel_og started using tool Talos Linux , 2 days, 9 hours ago.
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.
