Gemini: guides and news

Adobe adds AI audio to Firefly while Google's Gemini Omni Flash trades some quality for speed.

Google skips a separate app and folds AI study tools straight into Search and Gemini for back-to-school.

A Flash-tier update to the Gemini line matters more for cost and latency than for new capability.

Google's three-week Gemini Flash cadence turns model versioning into a moving target for builders.

Google's chatbot crosses a billion users while Ukraine's inflation adds pressure on AI budgets.

Gemini is now live inside Google Classroom, putting a generative AI assistant in front of students by default.

Three big AI headlines landed together — here's what's confirmed, what's not, and what to do about it.

Google's fast, cheap Gemini tier gets faster and cheaper again — just three weeks after the last update.

New data suggests Google's flagship AI is facing stiff competition from established and emerging players.

Google's Made by Google '26 announcements signal critical shifts for AI builders and hardware integrators.

A week in AI news: developer tools, leadership shifts, and model progress.

Google's Gemini app reaching one billion users offers critical lessons in AI product scaling and integration.

The latest iteration from Google DeepMind promises enhanced performance for developers building language-centric AI applications.

Google CEO Pichai's statement on Gemini's trajectory signals a critical shift towards massively scaled foundational models.

Google's new Gemini 3.5 Flash models offer speed and cost savings for specific AI applications.

Google's latest hardware endeavor promises a tenfold efficiency boost for its Gemini AI models.

New model releases and shifts in AI development timelines demand strategic attention from builders.

The expansion of Gemini Spark to macOS reveals the true trajectory of agentic AI: moving from a chat window to full desktop control.

A structured roadmap for AI builders moving Gemini from 'interesting' to production-ready.

Google has revamped its AI portfolio from the ground up – here's what truly matters for those building on Gemini.

Long context, native video, and Google Cloud integration make Gemini a production-ready choice.

Gemini, a powerful multimodal model, offers vast opportunities for developers, but effective utilization requires understanding specific nuances.

From video analysis to multimodal RAG, specific scenarios where Gemini offers a real edge.

Google's Gemini platform offers powerful AI models, but efficient use requires understanding its pricing, limits, and free options.

From million-token context to Google Search grounding, a practical look for AI product builders.