Google Just Built The Worlds Smartest AI...(Wow)

So, Google once again may have just changed the AI landscape by releasing their new model. And I'm going to explain to you why this might be a bigger deal than you initially think. So

yesterday we got a tweet from Dennis Sarabis, the CEO of Google DeepMind, and he said that he's very excited to share the best coding model that they've ever built, and that today they're launching the Gemini 2. 5 Pro IO Edition with massively improved coding capabilities, ranking number one on LMA in coding and number one on the WebDev Arena leaderboard. Now, this is coming as a surprise because not only is this only the second time Google's released a major update that has changed the game, this is a time where this is the only time I've truly seen a company release a model with a very specific use case such as coding be so clear. And because Google has done this, it definitely changes the landscape in terms of what offerings people are going to use, which I'll get into later. One of the things that was said in this tweet is that it is especially good at building interactive web apps. And this demo shows how it can be helpful for prototyping ideas. And in this short scenario, they show you how you can quickly sketch something such as a prototype or an idea that you are working on for an app and then of course input that into Gemini's multimodal feature, open up the canvas and ask it to code that app really quickly. Because of the preview feature, you can see right here that you're immediately able to get a working prototype, which is remarkably effective for demonstrating the abilities of the system and of course exploring any idea you have and working up a quick prototype. This is most certainly the step/direction we're heading in when it comes to prototyping ideas and judging whether or not ideas could actually work in the marketplace.

Now, by far the most surprising thing about this model was that it took the number one spot in terms of overall webdev and coding. When we look at the leaderboards here, Gemini 2. 5 Pro, the most recent one, manages to surpass Claude 3. 7 Sonic. Now, most people don't realize the significance of this because of course it doesn't seem like that much of a big deal. But over the past few weeks and few days, I've been seeing time and time again that people are basically saying that Gemini 2. 5 Pro is by far the best coding model. Now, it doesn't seem like that's a big deal. Okay, so now Gemini 2. 5 Pro is the best coding model. Well, you have to understand that Anthropic, that was their main offering. One of the only reasons people used to use Claude 3. 7 despite it costing so much was the fact that it essentially was just the best in terms of being able to code. It even started this whole vibe code revolution. When we actually take a look at what Claude's main offering is, coding is the number one use case that most people site. You can see one user here says Claude is so good at coding and reasoning. Is it just me or is it head and shoulders above GPT4? Another user says Claude is a magnitude above GBT4 for coding and other tasks in my opinion. And this user claimed to have spent a,000 plus hours with LLMs last year. So now the reason this actually changes the game is because Google is actually the number one. And I understand that you might be thinking, okay, well of course it's going to change the game. Google are now number one. Most people are going to switch to this. The reason I'm actually saying this is because it isn't just number one. It's a decent jump above claw 3. 7. And because Google Gemini has such a large context length, I noticed that many users are talking about how they're able to rewrite small code bases completely with one prompt. Now, I don't think anyone's going to completely stop using Claude, but I do think that this is definitely going to change the AI space because maybe, just maybe, if the next model from Anthropic isn't able to match what Gemini 2. 5 Pro has done here, then maybe they might start to focus on other areas. But what's crazy about all of this is that this also takes away Chat GBT's main offering. Google Gemini 2. 5 Pro ranks number one on all categories. One of the main reasons people used to use or should I say still use Chat TBT is because it always would offer you the frontier of intelligence. Whether it be 03, 04, or 01, usually you'd know that Chat TBT/ OpenAI would have access to the state-of-the-art model. But for now, it seems like Gemini 2. 5 Pro scoring number one across all bounds shows that they're making further gains. Now, what's really crazy about this and why I think this is such a big deal is that this is the second time Google has done this. Before they did it with the 2. 5 model and many other models such as the video models like V2 which are just levels ahead above Sora. But now we can see here with the 2. 5 Pro Preview. This is the second model that is once again number one. The two top models in the AI space currently are Gemini 2. 5 Pro models. The Pro Preview one and the Pro Experience One, which is a remarkable feat considering just 6 to 8 months ago many people wouldn't even dare to touch a Google product. And this is why I say this is truly gamechanging. What happens when OpenAI and Anthropic no longer offer the frontier in intelligence for AI? And the crazy thing about this is that I don't even think Google are slowing down. Remember that this model is called the IO model, which means that it was released before Google's IO annual developer conference where the company unveils its latest tech advancements. It's going to unveil the product news, the future innovations, which are primarily aimed at developers and the tech community. Now, this event is key because it provides a platform for developers to get updated on Google's ecosystem and learn how to enhance their apps and services. And of course, with that being said, usually there are many updates with regards to AI. So, this AI model being released just before Google IO shows us that Google are really trying to push the frontier when it comes to offering frontier level intelligence. And let's say this trend doesn't change for the next 12 months. If Google still remains in the number one and two spots in terms of overall frontier intelligence and since we know they're deciding to build out many B product offerings, it's quite likely that it may actually change other companies strategies. We've already seen OpenAI no longer focus on Frontier intelligence and more so focus on providing a good product experience. Essentially just focusing on the customer experience over providing models that do better on the benchmarks. And I think this is definitely what many companies are going to start to do because competing for increased levels of intelligence. It's almost reaching a point of saturation where the models are so smart that the increased gains that you get from models like 03 and 04, they don't even get used by the average user because people just aren't using it on an average day. Nobody's asking PhD level questions at the rate at which you would expect them to. If we're going to talk about mass AI adoption, the average user, well, the average time that we've seen most users get on boarded is when there is a new cool AI trend, such as the Giblly images, which on boarded millions of users to OpenAI. And I think that's what other companies are going to focus on if they can't compete for Frontier Intelligence. Now, speaking of benchmarks, what's interesting about this one, some people actually claimed that Google actually failed this model because there were other areas where the model went down, but I would disagree. So, right here, I'm going to give you guys a quick overview. the 2. 5 Pro preview one which is what we have today. We can see here that on the areas where it matters such as the code generation we can see that it improves around five to six%. And I think this is a key marker on the fact that Google is focusing on specific areas to ensure it manages to maintain its lead. Now of course Claude 4 is in the works and they did say it's going to be released soon but Google's iteration speed is ramping up and I am wondering if Anthropic can come back with a model that's able to do even more. So when we do take a look at these benchmarks here, it's clear that we can see that this entire model was designed to factor code at the heart, which means that I'm now actually wondering what AI companies like Anthropic are going to do if Google start to eat into their market share. As always, the AI industry is never slowing down. There's always multiple changes to stay ahead of. And now that Google have released this incredible coding model, I really do wonder where things are going to head next. Later on, I'll release a few tutorials showing you guys how you can code these interactive apps and demos. But for now, this major jump here, I think it's just indicative of what we have to see in the future. It's quite likely that the competition for AI is going to be even more fierce. But overall, let me know what you guys think. Are you actively using Google products, or do you think this is just more benchmark hacking? I personally do use Google Gemini on a day-to-day basis, and I find it really good when dealing with things of long context. It really just excels there. As for coding, I'm also seeing many users report the Gemini 2. 5 Pro is a lot better than anything we've ever seen. So, that being said, let me know what you guys think.