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Updates and recent posts about Gemini 3..

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@laura_garcia shared a post, 5 months, 3 weeks ago

Software Developer, RELIANOID

Tesco’s latest outage is a reminder: uptime IS the customer experience.

Shoppers across the UK faced checkout failures, broken order updates, and Clubcard access issues as Tesco’s digital platforms suffered “intermittent” instability. In modern retail, even brief disruptions damage trust, loyalty, and sales. At RELIANOID, we help retailers stay resilient with intelligen..

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@anjali shared a link, 5 months, 3 weeks ago

Customer Marketing Manager, Last9

Instrumentation: Getting Signals In

See how instrumentation in OpenTelemetry helps track app issues, know the difference between auto and manual methods, and when to use them.

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@devopslinks added a new tool Syft , 5 months, 3 weeks ago.

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@kaptain added a new tool KubeLinter , 5 months, 3 weeks ago.

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@devopslinks added a new tool Grype , 5 months, 3 weeks ago.

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@kaptain added a new tool Hadolint , 5 months, 3 weeks ago.

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@varbear added a new tool Bandit , 5 months, 3 weeks ago.

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@devopslinks added a new tool JFrog Xray , 5 months, 3 weeks ago.

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@devopslinks added a new tool OWASP Dependency-Check , 5 months, 3 weeks ago.

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@varbear added a new tool pre-commit , 5 months, 3 weeks ago.

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.