Google has implemented text watermarking in its Gemini app and web experience since 2024, while Claude models began marking text at the model level in August 2026. These watermarks are designed to be invisible and persist through copying and pasting.

Gemini 3.7 Flash is a new model in the Gemini API, designed to enhance AI capabilities for developers. The model emphasizes ease of use and improved problem-solving features.

Google has shut down its AlphaFold project, which was recognized with a Nobel Prize for its contributions to protein folding predictions. Key members of the DeepMind team have been reassigned or have left the company as Google shifts its focus to the Gemini project.

Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now generally available for production use. Gemini 3.6 Flash offers improved performance in complex tasks with reduced token usage and lower pricing compared to 3.5 Flash, while Gemini 3.5 Flash-Lite is the fastest and most cost-effective model in the 3.5 family, outperforming previous Flash-Lite generations.

Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber models are designed for enhanced token efficiency, reduced latency, and reliable performance in AI agent workflows. Gemini 3.6 Flash improves coding, knowledge work, and multimodal capabilities.

NotebookLM has been renamed to Gemini Notebook. The tool is used by over 30 million individuals and 600,000 organizations for various applications, including creating interactive onboarding materials and converting notes into audio and video summaries.

Users express concern over the potential discontinuation of Gemini 2.5 Flash due to its superior performance in specific workflows compared to Gemini 3 Flash. Internal benchmarks indicate that Gemini 3 Flash does not meet the same performance standards, even after adjustments to prompting.

Gemini Code Assist allows users to review pull requests on GitHub effectively. It integrates with Google Cloud to streamline code review processes.

Google has restricted Meta's access to its Gemini AI models due to Meta's request for more computing capacity than Google could supply. This limitation has caused disruptions and delays in some of Meta's internal AI projects.

Gemini 3.5 Flash now includes built-in computer use capabilities, enhancing performance for agentic computer use tasks. This integration allows developers to utilize computer use functionalities directly within the main Gemini Flash model, improving upon the standalone Gemini 2.5 model.