Urgent.News

What's breaking now, across thousands of outlets.

AI

Google Expands Gemini Across Sheets, Search and Developer Tools With Staggered Rollouts

Google is expanding Gemini across consumer, Workspace and developer surfaces, but this is not one uniform launch. The most concrete updates include Gemini in Google Sheets on Android for eligible Google AI Pro and Ultra subscribers, public Gemini API access through Google AI Studio, and Gemini coding assistance in Android Studio. Google Search's AI Mode and Gemini app capabilities are also…

Google is rolling out its Gemini artificial intelligence technology across various products, but the expansion is not uniform. Key updates include Gemini integration in Google Sheets for Android, public access to the Gemini API through Google AI Studio, and AI-powered coding assistance in Android Studio.

Google Search's AI Mode and Gemini app capabilities continue to evolve through separate releases. For businesses, the practical implication is that Gemini is becoming more present in everyday Google products and easier to incorporate into workflows, but teams must verify product, subscription tier, device, and usage limits before implementation. Not all features available in one Gemini interface apply across all interfaces.

Workspace users will see Gemini in Google Sheets on Android, which began rolling out on September 9, 2026, to eligible Google AI Pro and Ultra subscribers. This mobile feature aids in data analysis and insights, but more complex spreadsheet edits are better handled on the web. Developer access is through the publicly available Gemini API on Google AI Studio, where developers can create API keys, manage projects, and work within rate limits.

Businesses should verify the intended product surface, applicable plan, region, API-key requirements, rate limits, and whether complex spreadsheet editing is needed. These steps ensure a successful integration of Gemini's capabilities into business workflows.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 6 other outlets

Read the original at dev.to →

More in AI

One Vue app, built by AI three times: no skill, vuejs-ai/skills, and vue-enterprise

A few weeks ago I published vue-enterprise , an Agent Skill that teaches Claude Code and GitHub Copilot how I want Vue 3 + TypeScript code written in large, long-lived apps.

  • Three Vue apps built by AI with varying skill levels
  • One app built with no skill, one with vuejs-ai/skills, one with vue-enterprise
  • vue-enterprise app performed best in structure, server data handling, and features

How SteerDistill Shrinks 30‑Billion‑Parameter LLMs to 3 GB Without Losing Accuracy

SteerDistill — How Closed‑Loop Teacher Steering Rescues Quantized LLM Agents Lead “Quantizing a 30‑billion‑parameter agent drops its success rate by 20 %—that’s the headline most engineers see.” Yet…

  • SteerDistill shrinks 30-billion-parameter LLMs to 3 GB footprint
  • Maintains accuracy with closed-loop teacher-steering pipeline
  • Improves inference latency by half and reduces GPU memory use

More from Thursday 12 November →