NEW Google Gemma Model is INSANE! 🤯

Key Takeaways

New Google Gemma model is insane. Okay, let me tell you what Google just did because this one is different. Most AI writes one word at a time. Think about how you text, word, then the next word, then the next. That's how almost every AI you've used works. ChatGPT, Gemini, all of them. One word, then the next in a line. Google's new model doesn't do that. It writes a whole chunk at once. It's called Diffusion Gemma. Google's DeepMind team put it out on June 10th, and the big deal is the speed. It's up to four times faster than Google's normal model of the same size. On a top Nvidia chip, it can spit out more than a thousand words worth of text every single second. That's not a typo. A thousand a second. So, how does it pull that off? Here's the simple version. Picture a painter. A normal AI paints one tiny dot, then the next dot, then the next until a picture slowly shows up. Slow, careful, one dot at a time. Diffusion Gemma doesn't do that. It throws a big blurry mess on the canvas all at once. Then it cleans it up. It looks at the whole thing, fixes the blurry parts, looks again, fixes more. A few quick passes and boom, you've got clean text. The whole block at the same time. That's the trick. It cleans up a big mess instead of writing in a line. And cleaning up a mess all at once is way faster than going word by word. Now, here's a question you might be asking. If it writes the whole block at once, can it look both ways? Like, can the start of the sentence see the end of the sentence? Yes. And that's the cool part. Normal AI only looks backward. It only sees what it already wrote. It can't peek ahead. Gemma sees the whole block at the same time. The front can see the back. The back can see the front. So, when it fixes a word, it already knows where the sentence is going. Why does that matter for you? Think about filling in a blank in the middle of something or fixing a word in the middle of a paragraph you already wrote. A normal AI struggles with that because it only reads one way. This one looks both ways, so it's good at filling in gaps and cleaning up the middle. Let me give you a real way you'd use it. Say you've got a page about your business and one line in the middle reads clunky. You could ask this model to fix just that line, so it flows with the lines above and below it. It reads the whole thing and patches the middle. That's the kind of job it's built for. And it runs right on your own computer. You don't need some giant data center. If you've got a strong gaming graphics card, like an Nvidia 5090 or a 4090, you can run a shrunk down version of it at home. It fits in about 18 gigs of memory once it's trimmed. That means no monthly fee to some company. It's free to download. You just need the computer to run it. Now, let me be straight with you, because I'm not here to hype. This thing is fast, but it's not the smartest. Google says it plainly, on the hard tests, the math, the tricky reasoning, the careful coding, it scores lower than their normal Gemma model. Google even says, if you need top quality, use the regular one. This one is for when speed matters more than getting every little thing perfect. So, it's a trade. You get speed, you give up a little smarts. That's the deal, and Google's honest about it. Let me show you where the speed is actually worth it. Say you run a page for your group or your business, and you want to test 10 different headlines fast. A fast model can fire those out in seconds, so you can pick the best one. Or say you've got a long doc, and you want a quick cleanup pass on the wording. Speed turns a boring chore into a 10-second job. That's the sweet spot. Quick, helpful jobs, where you don't need a genius, you just need it now. Here's something a lot of people are sleeping on, though. The fact that this even works is the real story. For years, this cleanup the mess style only worked for pictures. You've seen AI image tools. You type a few words, and a picture shows up out of noise. That's the same idea. But text was stuck. Text is harder, because grammar has rules, and the words have to line up right. Google just showed it can work for text, too. That's a door opening. And once a door like that opens, it doesn't close. More models are going to copy this. This is the early one, the one people will point back to. Which brings me to something worth saying right now. If you're watching this, and you feel a little behind, you're not alone, and you're not actually behind. This stuff is brand new. Most people haven't even heard the word diffusion. Yet, the folks who win here aren't the ones who knew it first. They're the ones who learn how to use it before everyone else does. That's the whole reason I run the AI Profit Boardroom. It's a group of close to 4,000 business owners who are learning to put these tools to work in their actual day-to-day. Inside, there are four live coaching calls every week where we go through new releases like this one. So, when a fast model like Diffusion Gemma lands, we sit down and figure out the real jobs you'd use it for. Quick headline testing, cleaning up your pages, filling in your content. There's a new step-by-step tutorial every day, 30-day roadmaps, so you actually know what to do first, a big library of ready-to-use prompts, and a member map so you can find people near you and get help anytime because someone's always online. If you want in, the link's in the description and the comments. Okay, back to it. Let me clear up a couple of things people get wrong about this model. First one, people hear 256 tokens at once and think that's the whole limit. It's not. The block it cleans up at one time is 256 words worth, but it can keep going block after block, locking each one in and moving on. So, it can write long stuff. It just does it one chunk at a time, cleaning each chunk fast. Second one, can you watch it type live word by word like you do with ChatGPT? No. And that's a real downside because it builds the whole block at once. You wait for the block, then it all shows up together. There's no slow trickle of words. For some apps, that feels worse. For a quick task, you won't care, but it's worth knowing. Third thing, where does it run? Not just your home computer. It's up on the big spots, too. Hugging Face, Google's own Cloud, Kaggle. It works with the common tools developers already use right out of the gate. So, it's not some locked-up science project. You can actually grab it today. Let me ask the question you're probably thinking. Who is this even for? It's for anyone who wants fast AI on their own machine with no monthly bill for quick jobs. Editing text, filling in blanks, cleaning up wording, trying lots of versions fast. If that's the work you do, this is a strong free tool to have. It's not for someone who needs the deepest, smartest answer on a hard problem. For that, you'd still reach for a bigger, slower model. Use the right tool for the job. That's all it comes down to. And here's the part I keep coming back to. The speed changes how it feels to use AI. When you wait 5 seconds for an answer, you ask less. When it's instant, you ask more. You try more. You play with it. Fast tools get used way more than slow ones just because they don't make you wait. That alone is going to pull a lot of people in. One more honest note before I wrap. Because this is new, it can still mess up. It can get facts wrong. It can fumble strict instructions. So, if you use it for something that matters, check the work before you ship it. Don't just trust it blind. That's true for every AI, but extra true for a fresh one like this. So, here's where we are. Google took the clean up the mess idea that made AI pictures work and got it working for text. The payoff is raw speed, up to four times faster, more than a thousand words a second on a strong chip running free on your own computer. The cost is some smarts on the hard stuff. Google's upfront about that trade. And the biggest story is that the door is now open. This is the start of a new way to build AI, not the end. Now, the tools are moving fast, faster than most people can keep up with on their own. If you want to actually use stuff like this instead of just hearing about it, that's what we do every day inside the AI Profit Boardroom. Close to 4,000 owners, four coaching calls a week breaking down new releases like Diffusion Gemma, daily tutorials that walk you through the exact steps, 30-day roadmaps, a full prompt library, and a member map to connect with people near you. When a tool like this drops, we don't just talk about it, we show you the real jobs to point it at like fast headline testing, cleaning up your pages, and filling in your content. The link is in the description and the comments. And if you're not ready for that yet, and you just want to learn for free, come join the AI Success Lab. It's our free community, more than 80,000 people in there sharing what's working with AI. You'll get the notes from videos like this one, plus a pile of real use cases you can copy. Same deal, links are in the description and the comments. That's Diffusion Gemma, fast, free, runs at home, and it's the first real sign that AI text is about to get a whole lot quicker. Keep an eye on this one. I'll see you in the next one.