Chinese Website Builder, LLM Secrets & More AI Use Cases

It has been another week in generative AI and as per usual there have been a bunch of releases. This week we'll be looking at a use case of new tool using the Chinese open source model that came out last week that lets you build websites with just one sentence, no strings attached, no installations, nothing. It's as simple as it could get and freely available. So that should be interesting. Brand new research out of Anthropic that finally is starting to understand how these generative AI models actually work instead of just calling them a black box and big releases like Runways Gen 4 foundational video model and as you can see, not exactly in my typical studio setup because I'm in San Diego, California right now and it has been an absolutely insane week for me personally because I came here to speak at a social media marketing world conference and I held a lecture in the community and I held a webinar for a company whole while staying on top of all this madness and going through the hiring process with some new team members. By the way, if you've never been San Diego, absolutely magnificent. About 10 years ago I studied in San Francisco at San Francisco State University and I was lucky enough to experience most of California. But this little spot down here, absolutely stunning and not just talking about the weather here. All right, enough talk. Let's get into this week's AI news that you can use starting out with this service that is called Deepsight and it's essentially built on Deep Seq V3, a model that has been released under an open source license last week from the Chinese company behind deep seq R1. This is their non thinking model V3 and apparently it's really good at building sites. Now I also have to shout out Gemini 2.5 Pro at this point, which has really established itself within the spot space amongst builders, vibe, coders, developers. I always kind of brush over these new model releases because the benchmarks only tell a part of the story and the real usage is what matters here the most. And after one week it just turns out that Gemini 2.5 Pro, there's pretty much a consensus opinion that it's the current king for development use cases. But this thing is open source, so you can even do things like building a website from one prompt locally on your machine if you wanted to. So let's give this a shot. I'll just say build me a 3D racing game and then V3 builds it and in this web viewer we can see the result of it right away. A really fun little way for you to experiment with the Capabilities of something like Deepseek right here, yourself. And I wanted to start out with this because it gives people who have never attempted Vibe coding a completely free and intuitive way to do this. This is your chance. You don't need anything. Just go to the link to this thing in the description and give it a shot. If you like it, I would recommend you go down the rabbit hole and start using models like Gemini 2.5 Pro inside of Cursor or Windsurf. There's a few more hoops that you need to jump through than with this simple interface where it's literally prompt to website, but then you also get more options and you still don't have to know how to code to do things like this. Yeah. And there we go, our 3D racing game. Let's just start the race. Let's see how this goes. Oh, game over. One more. Oh, and we gaming. Okay. Game over. 40. So, as you can see, this is pretty much working out of the box. Now. I could follow up and improve this, but rather than doing that, I'll go over to this deep sea gallery that you can also check out from another link in the description. And it pretty much shows the various sites that people have built with this very inspiratory from various landing pages, games, calendar, apps, and even this photo booth site. You can kind of just click them and try out all of these and gain inspiration from what you too could build from a simple prompt. Look at that. How about a YouTube competitor? No problemo. Again, we've seen this before, but it has never been made this accessible to people who just want to give it a shot for free. Okay, on to the next one. All right, next up we have an anthropic paper which is maybe not something you can directly use, but this is one of the most revolutionary things in the generative AI space as of recently. So I just had to briefly talk about this. They're basically starting to decode what goes inside of the black box inside of an LLM. If you're not familiar, so far, even the most sophisticated people building these models did not fully, truly understand the end to end process of how these models were generating such level of quality and showing these levels of intelligence within what they're doing now. This new anthropic research paper for the very first time managed to pull the curtain back a little bit. And they're starting to understand the thinking process that goes on. And they created this little three minute video that I recommend you watch if this piqued your curiosity, in which they showed how AI writes a poem and how they can infer on how it's actually thinking depending on one word that is being switched out. And then the paper contains a bunch of words, more examples across various domains. But I think the writing ones are the most reliable ones. And the bottom line of this whole thing, if you don't care about the technicalities of this, is that with knowledge like this, they'll be able to make things way more precise, particularly in the hallucination department. This is something that we had no remedies to up until now, except of including better sources and prompting it more precisely. But with understanding like this, LLMs might be able to get to a point where they can discern between information that is factual and and information that is hallucinated simply rerunning the prompt and giving you factual information. Now, this is a hard problem. I'm not saying that has been solved right now. I'm just saying these are the first step towards something like that. It's crazy because that disproves even the biggest AI haters that say, hey, you will never be able to fully rely upon these models. There's always going to be an error, sure, but all it takes is one piece of research that goes a bit further than this and voila, it might be solved. Okay, maybe that statement right there is a bit hopeful and naive. I'm just saying this is a real step in that direction and honestly the first glimmer of hope showing that this problem might actually be solvable and not just absolutely impossible as has been assumed up until now. All right, next up, just a super quick story. This is nothing that is state of the art, but Amazon did release a brand new platform with a bunch of new LLMs that people can use. So far these LLMs have only been accessible for their service. Amazon Bedrock. And even more interestingly, they're releasing a new thing called Amazon Nova act, which is essentially an agent that can use a browser. And right here on screen you can see an overview of all these models. Now one thing that I do want to note is that These support over 200 languages. Usually LLM supports around 100. At least that's what they say in the release. I believe this is the first time I see over 200 languages, but feel free to correct me if I'm wrong. These bottom ones, Real and Canvas, only support English because they're visual models. I mentioned Videogen, all of them are fine. Tunable and Amazon Nova Lite and Nova Pro have a context window of 300,000 tokens. So some really Solid models. Again, as I mentioned, none of these are cutting edge release. But with this release that as of now is only accessible in the US and is probably only interesting to developers who want to build with this we see also Amazon entering the agentic browser use AI space, which has become increasingly crowded. But not a single one of them is at a level that should make you as a consumer feel obliged to use these tools. Yet they're just a little stupid and very, very unreliable. I can tell you I got excited when Operator came out. I was using it daily, I was trying to incorporate it into all parts of my life until the incidents with the 26 bananas or whatever it was occurred and it just randomly spent 60 or $70 and ordered the bananas to the wrong address. But this category of these agentic tools that work in a browser are just not at a level yet where they're ready for the consumer. I wish they would be, but they're just not. Don't worry though, this show will keep you updated whenever that changes. Next up, OpenAI's paper bench and this one in particular caught my interest because it tests the different LLMs and something super unique. It lets LLM attempt the recreation of state of the art AI research. And the way it does that is it employs a LLM judge to score the results on how well the model did in replicating some of the research findings from these papers. Of course there are a lot more details that go into this, but essentially that is it. So if new models come out on this benchmark, once they run Paper Bench on top of them, the model will try to replicate what they have found through the state of the art papers in the AI space and they apply this. A few models that you already know here particularly they tested GPT4 O O3 Mini, Deepseek R1, Claude 3.5 Sonnet, the new version, and Gemini 2.0 Flash. Now obviously there's more models that should be there now like Claude 3.7 sonnet, but there are limitations in the API to that that didn't allow them to run this fully. And also I would love to see the new Gemini 2.5 Pro here now, but for now this will do. Amongst these models, would you have guessed that Claude 3.5 sonnet performed by far the best? I mean, look at these numbers. Deepseek R1, which is a thinking model, performs almost on the level of GPT 4.0 here. And again Claude 3.5 sonnet just crushes it. So this is really interesting to me because when people use these models the results usually are vastly different than from what the benchmarks say. Claude 3.5 Sonnet didn't crush all the benchmarks, but it quickly became the go to model for development and even writing. People just really, really loved the model, the way it behaved, the way it talked, the way it thought about things. And I love seeing benchmarks pop up that cover this ethereal quality, these vibes as people call them. And it just got me thinking, maybe I could create a benchmark of myself of some of these vibe coding tools on some use cases that I really prefer. Marketing and business efficiency focused use cases with an LLM judge. In the end, sort of an automated testing suite based on various use cases that we teach at the AI advantage. I don't know, just a thought that I added to my to do list. But moving forward I'll at least be looking towards more alternative benchmarks like this paper bench right here. Okay, next up, I want to quickly tell you about some ChatGPT updates that came out over the last weeks. These were rather small but significant ones. The first one was this pop up that I received in my interface and many other people have two Image creation just got better one and two. It's rolled out to everybody now, including all the free users. It took them over a week to actually get this out to everybody. Now that has been done and they improved it already. The model thinks a little longer to give more accurate outputs which practically I tested it a bunch of times. I'm not sure if it's slower now. I don't really think so. It was kind of relatively slow ish already compared to some of the competitors that just spit out an image within 2, 3 seconds. This usually takes 10, 20, sometimes 30 seconds, but you should be able to expect more accuracy now. And Sam Altman tweeted that ChatGPT on the web has gotten way, way faster across the board. As somebody who's using these tools daily and I run a few test prompts, I cannot really say that I feel this yet. Maybe it's in some specific categories. GPT4O seems pretty much the same as it has been before. And the thinking models, I don't know, maybe there's a boost of 20, 30%, but I haven't been able to feel this myself. What I have been able to feel is the fact that now that we have image generation inside of 4.0, it has become my go to model for so many things because this modality of just generating visuals from what you're already working on is just very powerful. So yeah, Image generation is more precise and it's supposed to be more faster. Maybe it also depends on the time of day. I don't know. Can't really confirm myself. And one more fantastic piece of news for all students is that ChatGPT plus, the paid version that costs $20 a month, is free for college students in the US and Canada through May. So most likely you will require a college email from the US or Canada to get this for free. And this meme in the replies on Twitter, it's just too accurate. It's also how I felt right away. How do you do, fellow kids? Everybody will want to be a college student now, I suppose. If you're enjoying this content, don't forget to leave a quick like. It really helps out the channel. I always underestimate how much it helps. So go hit that like button if you like this and let's move on to the next story. Alright, so next up we have a new release from eleven Labs. This one is called Actor Mode and what it essentially does, it allows you to create an audio file with 11 labs as per usual. But then a person with the microphone, the actor can map their intonation onto the produced voice recording. You could put emphasis on certain words. To suffer the slings and arrows of outrageous fortune. To suffer the slings and arrows of outrageous fortune. You could change up the pacing. That is the question. That is the question. And then have that applied to the AI generated voice. What I figured would be the perfect way to test it is to use this in a way we actually use 11 labs all the time. Because let me tell you, I've shared this before, but I'll say it again. We have a voice that is trained on me and if I either misspeak something that's really important or I get some piece of information wrong and we want to change it in the edit. Well, me re recording takes a lot of effort. So our video editing team has access to my voice in 11 labs and we just recreate that little word. Now the problem is often that word or number does not smoothly edit into the final video. This is the worst because it just sounds different. I mean, just look at the way I speak. The last thing I said, I said in a manner like this. I said in a manner like this. Standard voice generation is not going to slot into there smoothly. But now we have Actor Mode. So how about we give this a spin. Let me do two quick statements and then I would kindly ask the video editing team to use this brand new 11 Labs actor mode to do a generation Once without actor mode to replace one word, and then right afterwards, we will use actor mode to integrate it more smoothly. Okay, here we go. Phrase number one. My original recording. Training this brand new model cost them $20 million. Let's try and replace the 20 with 30 and see how that goes. Training this brand new model cost them $30 million. Training this brand new model cost them $20 million. Example number two, let's try and change the word annoying to impressive. And that is the most annoying thing about AI. Let's see if we can completely manipulate the meaning of that sentence with this new actor mode. And that is the most impressive thing about AI. And that is the most annoying thing about AI. And there you go. As you can see, we didn't really manage to get this to work in a way that we were hoping for. Maybe we did it wrong. But at the very least, this seems to be unintuitive and not working as well as we would hope for. On to the next one. All right, next up, we have a big release. Runway came out with a brand new foundational model, the Successor to Gen 3. They're calling it Gen 4. So I'm about to show you a bunch of comparisons to some of the other best models in the space. So let's do it. Okay. And right away, even from the first example, I can already tell you the quality of this is super high. And on this car example in particular, a lot of models struggle with the wheels. In particular, the wheels are just static, like on a parked car. Although it's driving on a highway, this model gets it right. Now, some of the other state of the art models also get this right. So we do have to get a bit more detail oriented here. I would say this drone shot looks authentic, but it's less polished than some of the other examples that I've even seen out of Gen 3. That's weird. It sort of looks like a lower quality camera, which is more realistic, I guess. Interesting result there. What about this one? This one is also interesting because the water is hard to do, and the human anatomy and movement is hard to do. Okay, so there's definitely some trippy movements in there. Here's a comparison to some of the other models. And also the water. Water, just like with almost any bottle, is not perfect. If you really look at these waves and you've ever seen water break on the beach before, you realize that's not entirely it. This close up is very good, though. Maybe some slight twitching in the eyes that is not supposed to be there. I don't Know, I'm just really trying to be nitpicky here, but you can make up your own mind based on these examples. And we did run a few extra image to video tests here, so we'll show both the images and the resulting videos here. So this first one was really easy and it handled it quite well. But the other ones are very tricky ones because they include human anatomy. And I have to say I thought it was really good with everything besides the fingers, but the hands are just all over the place. But I have to say the other models wouldn't have even gotten the bodies right. So strong performance. And this one obviously is very hard to do in terms of realism when it comes to the human anatomy. Face doesn't look real. I don't know some of these image video examples, not the best. Definitely better than Gen3, but probably not state of the art if I just had to give my first opinion. We'll do more extensive testing and we publish the results of that in our monthly video generator rankings. Okay, onto the next one. Okay, look, if you're watching this video, you know exactly how exhausting and overwhelming it can be to stay on top of AI and navigate all the different spaces across the Internet that house the information. YouTube is fantastic, but can be a sensory overload. On X you get good info quickly, but it's mixed with a bunch of topics that you probably don't even want to see. And I love Reddit, but often feels like the posts are just driven by somebody trying to prove themselves to the world, sharing their knowledge just so they can prove to themselves how smart they are. Not always the case, but if you've been around, you know there's some truth to those statements. Now I myself was also looking for an alternative to this, and after some conversations I kind of realized that what I really wanted is this old school forum vibe. Now you probably got to be at least 25 or 26 to know what I'm talking about here, but back in the day on the Internet, around 10 to 15 years ago, there used to be these traditional forums with genuine discussions. And even old Reddit was a completely different culture than it is today. Genuine discussions could flourish and you actually knew the different users by name because there wasn't tens of thousands of them. If you saw a specific profile picture, you knew that, oh wow, this person created a new post. I might really want to read that because what they do is high quality and at the AI advantage. You might know that we started our very own community. Now, this community is not for everyone and it is paid, but I check it out every single day. And I do get this feeling that I used to get in the golden age of the Internet forums. The people in our community are genuine, helpful, and nobody's posting just to make themselves feel better. Everybody there is on this common journey of trying to master these tools, trying to get the most out of them to improve their professional or personal life. And there's zero clickbait, because there's no point in that. Generally speaking, you only join the community if you have an open mind, can afford it, and you're curious about the different possibilities that AI tools absolutely do hide. Not all the use cases are obvious, and if you pass those filters, you don't need to use inflammatory language to get people to click on a guide or a course. That's not how humans actually communicate. It's how humans have to communicate. If you're distributing one person to hundred thousands, but if you're distributing one person to a few dozens or hundred, you don't need that. So it just creates this unique environment that I, myself and many other members in their cherish. And I kind of just wanted to take a second to communicate that in a bit more of a human way of me just kind of ranting about it a little bit. But it really is a space where you can ask genuine questions and get proper answers to them, share your progress and actually feel heard while being on this journey of acquiring skills and developing your skills relating to generative AI along with others who are on the same journey. So if you enjoy this channel and you're looking for a place to connect with others who are interested in generative AI and its possibilities just much as you are, then this is it. That's why we created the community. All right, that's all I got to say here. Now let's continue with the video. All right, next up, we have two new hugging faces that popped up this week that allow you to DO text to 3D. Both of these are promising. It's a bit hard for me to say if they're actually state of the art. And these releases are probably only relevant to you if you work with 3D models. So we'll keep this brief, but I do want to keep everyone informed. One of them only generates meshes and the other one generates fully fresh 3D models. We decided to skip over some of the preloaded test images and uploaded our own image of a Labrador. And here are the results from model number one and model number two. Now, I think it's most interesting to view things like this in contrast to the current state of the art solutions. So here's a comparison between this new tool and what is currently considered state of the art, which is the Hanyuan 3D2. So through that Labrador that I admittedly screenshotted from our test footage here. So there's buttons up top, hope that won't disturb it too much. And here's the results head by side. From what I can tell, they look very similarly. But maybe some of the lines on this new model are even cleaner. It's definitely close. And if you want to AI generate 3D models, this new one is definitely one you need to consider. Next one is a super quick one and this is only relevant to you if you own high end Nvidia hardware. It's a new piece of software called Nvidia's Project G Assist. And the way I understand it is this existed before, but now they upgraded it with some serious AI features and it basically helps you optimize your settings to the hardware you have on your computer. So basically like having a tech nerd who knows everything about your setup, making recommendations and adjustments to your system so you get the most out of it. So if you're on Windows and you have Nvidia graphics card, you might want to look into the new version of G Assist. I just personally thought this looked really interesting and I would want to know about it if I owned this hardware. And that's pretty much everything we have for this week. I hope you find something interesting. I'm going to go catch up on some sleep and I will see you next week.