Google's NEW FunctionGemma is INSANE!

Google released something that's going to blow your mind. It's called Function Gemma and it turns your phone into an AI assistant that works without internet. Zero cloud connection. Everything happens right on your device. Today, I'm going to break down what makes this so revolutionary, show you the actual performance data, and explain why this changes the game for anyone using AI. Right now, when you talk to Siri or Google Assistant, your voice gets sent to a huge server somewhere. That server does all the thinking. Then, it sends an answer back to you. Your private data is flying across the internet every single time and you're stuck waiting for that whole process. Function Gemma kills that entire system. This AI lives on your phone. No servers, no waiting, no privacy concerns. You ask it to do something and boom, it happens instantly. Google made this open source. Anyone can grab it from Hogging Face or Kaggle right now. And I'm about to show you exactly how it works and why you should care. Here's what makes Function

Gemma different. Google started with their Gemma 3 model. Then they built a special version just for running commands on your phone. It's only 270 million parameters. Most AI models are way bigger than that. But here's the trick. Smaller means it can run on your phone's regular processor. No special hardware, no fancy setup. Just install it and go. You can tell it to turn your flashlight on, schedule a meeting, send a text, set an alarm, all with your voice, all without touching the internet. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Now, let me explain why the old way is broken. When you use a normal voice assistant, here's what happens. Your phone records your voice, sends it over the internet to a company's server. That server runs it through their AI. The AI figures out what you want, sends instructions back to your phone, then your phone finally does the thing. That's a lot of steps. time. That's a lot of places where your data could be seen or stored or used. Function Gemma removes all those steps. Everything happens locally. Your voice never leaves your device. The AI processes it right there. Your phone executes the command. Done.

The numbers Google released are wild. Out of the box, Function Gemma gets 58% accuracy on commands. That's decent, but not amazing. But when you fine-tune it for specific tasks, it jumps to 85% accuracy. That's the same performance as AI models that are 10 times larger. Google tested this with real world commands, things like set a reminder for tomorrow at 3 p. m. or call mom. After training on those specific types of commands, it nailed 85% of them. The speed is where this gets crazy. Function Gemma runs at 50 tokens per second on a phone. No network delay at all. No server processing. It's just instant. Think about what that means. You're not waiting for anything. and you say a command and your phone does it before you finish your sentence. And if you want to learn how to use cuttingedge AI tools like Function Gemma to save hours every week and automate your entire workflow, you need to check out the AI profit boardroom. Over 1,800 people are already inside learning how to scale their business and get more customers using AI automation. This is where you learn to actually implement tools like Function Gemma in real business situations. Link in the description.

Google built two demos to show this off. Both are in an app called AI Edge Gallery. You can download it from the Play Store right now and try Function Gemma yourself. The first demo is a game called Tiny Garden. You control it completely with your voice. Tell it to plant flowers in a specific spot. Tell it to water certain plants. Function Gemma understands what you're saying and makes it happen in the game. All offline, no lag. The second demo is way more practical. It's called Mobile Actions. This lets Function Gemma control your actual phone. You can say, "Show me directions to the nearest coffee shop. " Or, "Turn on airplane mode. " Or send John a text saying, "I'm running late. " Natural language commands that control your operating system. All processed locally on your device. Here's why the privacy angle is huge. Your calendar, your contacts, your messages. None of that leaves your phone when you use Function Gemma. You're not trusting some company to handle your sensitive info. Everything stays in your pocket. For anyone worried about data privacy, this is the solution. Companies can't access what they never receive. Now

let's talk about fine-tuning because this is where it gets powerful. Google released a training set called mobile actions. It's up on hugging face right now. This data set has thousands of examples. Each one shows a command someone might say and the exact function the phone should run. So, if someone says turn on my flashlight, the data set shows exactly what code makes that happen. You take this data and you train function Gemma on it. Google gives you the full instructions on how to do this. After training, Function Gemma becomes specialized for those specific commands. It gets really good at that one job. That's the whole strategy with small AI models. They can't do everything like GPT4 can, but train them for one specific thing, and they match the big models. Google ran all their tests on a Samsung S25 Ultra. The phone was running function Gemma on its regular CPU, not even using the GPU. The model handled 512 words of context and output 32 words of response. smooth performance, low power usage, ready for real apps. This isn't experimental. You can build products with this today. And because it's open source, you're in full control. Modify it however you want. Deploy it wherever you want. No company can change the rules on you. Let me be real about the limitations, though. Function Gemma is built for commands. Short requests that need quick actions. If you want long conversations or complex reasoning, you need a bigger model for that. The base model at 58% accuracy isn't good enough to ship. You have to fine-tune it. That means finding or creating training data for your specific use case. It takes some technical skill, but Google's guides make it doable. The 32K word context window is perfect for running commands. But if you need to summarize a whole book, this isn't the right tool. Know what it's good at and use it for that.

Here's why this release matters. Google has seen over 300 million downloads of their Gemma models. The developer community around these is massive. People are sharing how to train them, solving problems together, building new things, and the timing is perfect. For years, the AI industry focused on one thing. Make the models bigger, more parameters, more computing power. Bigger is better. But now, there's a new trend. Make models smaller. Make them specialized. Run them on devices instead of servers. Function Gemma is right at the front of this movement. Apple is working on AI that runs on iPhones. Microsoft is pushing models that work on your computer. Meta put out llama models designed for phones and tablets. Not everything needs a massive cloud model. If you're learning AI right now, understanding small models is valuable. Companies need people who can take these open-source tools and customize them for business problems. That's a real skill that's in demand. Plus, small models are easier to work with. You can train Function Gemma on a normal laptop. You don't need expensive cloud servers. You can test ideas fast, learn what works, build actual products. The use cases are everywhere. Smartome systems that don't send your data to Amazon or Google. Video players you can control with your voice without internet. Tools for people with disabilities that protect their privacy. Business apps too. Internal company tools that handle customer data. You can add AI features without sending anything to outside services. Support apps that work when Wi-Fi is down. Field service tools for areas without cell coverage. AI is splitting into two paths. Big general models in the cloud for complex thinking. small focus models on your device for specific jobs. Using both together gives you the best of everything. Power when you need it, privacy and speed for daily tasks. If you're building anything with AI, pay attention to these small models. They're specialized tools. Use the right tool for each job. The open- source part is key. You're not locked into one company. You can see exactly how the model works. Change it if you need to put it anywhere. That kind of control is rare in AI. And if you're serious about

mastering AI tools like Function Gemma to automate your business and save massive amounts of time, join the AI profit boardroom. Over 1,800 members are inside right now learning together and sharing what actually works in the real world. This is where you discover how to use tools like Function Gemma to get more customers and scale faster. Link in the description. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. links in the comments and description. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. This is where you learn how to actually implement this stuff. Not just watch videos about it, but get hands-on and make it work for your business. All right, thanks for watching. Hit the like and subscribe button and I will see you in the next