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@laura_garcia shared a post, 3 days, 8 hours ago

Software Developer, RELIANOID

𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗮𝘁 𝗠𝗼𝗯𝗶𝗹𝗲 𝗪𝗼𝗿𝗹𝗱 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝟮𝟬𝟮𝟲

📍 𝗕𝗮𝗿𝗰𝗲𝗹𝗼𝗻𝗮 | 𝟮–𝟱 𝗠𝗮𝗿𝗰𝗵 𝟮𝟬𝟮𝟲 🚀 𝗝𝗼𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗮𝘁 𝗠𝗼𝗯𝗶𝗹𝗲 𝗪𝗼𝗿𝗹𝗱 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝟮𝟬𝟮𝟲 (𝗠𝗪𝗖 𝟮𝟲) The world’s most influential connectivity event returns — and this year marks 20 years in Barcelona, celebrating two decades of collaboration between a global tech powerhouse and one of Europe’s most innovative ci..

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@idjuric660 shared a post, 3 days, 9 hours ago

Technical Content Writer, Mailtrap

5 Best Email API for Laravel Developers Tested & Compared

The best email APIs for Laravel developers are Mailtrap, SendGrid, Mailgun, Amazon SES, and Postmark. To provide you with a fair and unbiased comparison of these APIs, I researched and tested them all with the help of Mailtrap email deliverability experts, security team, and developers. Together, we..

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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.