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ContentUpdates and recent posts about Gemini 3..
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kaptain
@kaptain added a new tool KubeLinter , 2 weeks, 3 days ago.
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devopslinks
@devopslinks added a new tool Grype , 2 weeks, 3 days ago.
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kaptain
@kaptain added a new tool Hadolint , 2 weeks, 3 days ago.
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varbear
@varbear added a new tool Bandit , 2 weeks, 3 days ago.
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devopslinks
@devopslinks added a new tool JFrog Xray , 2 weeks, 3 days ago.
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devopslinks
@devopslinks added a new tool OWASP Dependency-Check , 2 weeks, 3 days ago.
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varbear
@varbear added a new tool pre-commit , 2 weeks, 3 days ago.
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devopslinks
@devopslinks added a new tool GitGuardian , 2 weeks, 3 days ago.
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devopslinks
@devopslinks added a new tool detect-secrets , 2 weeks, 3 days ago.
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devopslinks
@devopslinks added a new tool Gitleaks , 2 weeks, 3 days 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.