AWS Unveils Graviton5: A 192-Core Leap in Cloud Performance and Efficiency
AWS introduces Graviton5-based EC2 M9g instances, boosting performance by 25% and enhancing scalability while reducing costs.
Updates and recent posts about Gemini 3..
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News FAUN.dev() Team
@varbear shared an update, 4 hours ago
FAUN.dev()
Tor Goes Rust: Introducing Arti, a New Foundation for the Future of Tor
The development of "Arti," a Rust-based Tor implementation funded by Zcash, aims to enhance security and efficiency by addressing the limitations of the current C-based Tor.
News FAUN.dev() Team
@kala shared an update, 4 hours ago
FAUN.dev()
Gemini Deep Research Is Now Programmable Through a New API
The enhanced Gemini Deep Research agent is now available via API, enabling developers to integrate advanced research capabilities into applications, with the open-sourcing of DeepSearchQA for evaluating complex tasks.
News FAUN.dev() Team
@kala shared an update, 5 hours ago
FAUN.dev()
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.
News FAUN.dev() Team
@kala shared an update, 5 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.
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.
