Google Home’s latest update makes Gemini better at understanding your commands
Google is launching another update to its Home app, which is supposed to make controlling your smart home with its Gemini AI assistant "more natural and reliable," according to this week's release notes. With the update, you can describe the type of lighting you want, such as "the color of the ocean," and Gemini will [ ]
Emma Roth
is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.
Google is launching another update to its Home app, which is supposed to make controlling your smart home with its Gemini AI assistant “more natural and reliable,” according to this week’s release notes. With the update, you can describe the type of lighting you want, such as “the color of the ocean,” and Gemini will pick the color based on your prompt.
You can also use more natural and precise language when asking Gemini to control your appliances or climate. That means you can now tell Gemini to “preheat the smart oven to 350 degrees” or set specific humidity levels. Google has improved Gemini’s ability to identify your devices, too — like “distinguishing between a ‘lamp’ and a ‘light’” — allowing it to complete requests faster, according to Google. Kids with supervised Google accounts can now gain access to Gemini for Home as well.
This most recent update follows the introduction of “Live Search” for cameras earlier this month, along with improvements to Gemini’s ability to understand context.
Additionally, Google announced that it’s bringing an update to Gemini Live, a feature that lets you have a back-and-forth conversation with the smart assistant. Gemini Live’s news summaries are “now deeper and more interactive” on smart displays and speakers. You can ask Gemini things like “What’s the latest news?” or “Catch me up on tech news” during a conversation to receive a detailed summary. All of these updates are rolling out now.
Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
- Emma Roth
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
geminireleaselaunch
Explore how SAP Concur’s AI agents and partnerships enhance corporate travel in the USA and Australia, streamlining bookings, expenses and policy compliance : Read To Know The Latest Update - Travel And Tour World
Explore how SAP Concur’s AI agents and partnerships enhance corporate travel in the USA and Australia, streamlining bookings, expenses and policy compliance : Read To Know The Latest Update Travel And Tour World

Silverback AI Chatbot Introduces Advanced AI Assistant to Support Streamlined Customer Interaction and Operational Efficiency - Burlington Free Press
Silverback AI Chatbot Introduces Advanced AI Assistant to Support Streamlined Customer Interaction and Operational Efficiency Burlington Free Press

Gemma 4 Complete Guide: Architecture, Models, and Deployment in 2026
Google DeepMind released Gemma 4 on April 3, 2026 under Apache 2.0 — a significant licensing shift from previous Gemma releases that makes it genuinely usable for commercial products without legal ambiguity. This guide covers the full model family, architecture decisions worth understanding, and practical deployment paths across cloud, local, and mobile. The Four Models and When to Use Each Gemma 4 ships in four sizes with meaningfully different architectures: Model Params Active Architecture VRAM (4-bit) Target E2B ~2.3B all Dense + PLE ~2GB Mobile / edge E4B ~4.5B all Dense + PLE ~3.6GB Laptop / tablet 26B A4B 25.2B 3.8B MoE ~16GB Consumer GPU 31B 30.7B all Dense ~18GB Workstation The E2B result is the most surprising: multiple community benchmarks confirm it outperforms Gemma 3 27B on s
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases


HHS Announces Request for Information to Harness Artificial Intelligence to Deflate Health Care Costs and Make America Healthy Again - HHS.gov
HHS Announces Request for Information to Harness Artificial Intelligence to Deflate Health Care Costs and Make America Healthy Again HHS.gov

Stop Writing AI Prompts From Scratch: A Developer's System for Reusable Prompt Templates
You open Cursor. You need to refactor a service. You type something like: "Hey, can you refactor this function to be cleaner?" The AI gives you something mediocre. You tweak the prompt. Try again. The output improves. You get what you need — but you've spent four minutes writing a prompt you'll write again tomorrow, and next week, and every time a similar task comes up. This is the hidden tax on AI-assisted development. Not API costs. Not context limits. Prompt reinvention. Most developers treat every AI interaction as a blank slate. Senior engineers don't. They've built systems. This article is about building that system: a reusable prompt library that makes your AI interactions faster, more consistent, and dramatically higher quality. Why Most Developer Prompts Fail Before building a sys

Show HN: Ray – an open-source AI financial advisor that runs in your terminal
I've been using this daily for 4 months and figured others might find it useful. This is my first open source project so would love any feedback. Ray connects to your bank via Plaid, stores everything in an encrypted local SQLite database, and lets you ask questions about your finances in natural language. No cloud, no account, your data is stored on your machine. Before anything reaches the LLM, all PII is stripped — your name, companies, transaction details are redacted and replaced with tokens, then rehydrated locally in the response. The AI never sees who you are. Comments URL: https://news.ycombinator.com/item?id=47644133 Points: 6 # Comments: 2


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!