DeepSite is a service that allows you to build websites with just a single sentence. It is built on the open-source DeepSeek V3 model, which has been released by a Chinese company.

The process is incredibly simple - you just need to provide a prompt, and DeepSite will generate a website based on that. For example, you can say "build me a 3D racing game" and it will create a functional 3D racing game website.

The results are quite impressive, with the ability to generate a wide range of website types, including landing pages, games, calendar apps, and even a photo booth. You can explore the DeepSite Gallery to see examples of the various sites that have been created.

One of the best things about DeepSite is that it is completely free and accessible to anyone. You don't need any coding knowledge or experience to use it - just a prompt and you're good to go.

This tool provides a great way for people who have never attempted web development to experiment with the capabilities of generative AI. It's a simple and intuitive interface that allows you to create websites without any hassle.

Overall, DeepSite is a fascinating example of how generative AI can be used to make web development more accessible and user-friendly. It's definitely worth checking out if you're interested in exploring the potential of these technologies.

Anthropic's latest research paper has made a significant breakthrough in understanding the inner workings of large language models (LLMs). For the first time, researchers have been able to pull back the curtain and gain insights into the thought processes behind the impressive outputs generated by these models.

The paper demonstrates how Anthropic's researchers were able to infer the reasoning and decision-making of an LLM as it writes a poem. By carefully analyzing the changes in the model's outputs when a single word is modified, the researchers were able to discern the model's underlying logic and thought patterns.

This newfound understanding of LLM "thinking" has far-reaching implications. It paves the way for more precise and reliable language models, particularly in addressing the issue of hallucination - the generation of factually incorrect information. With this knowledge, LLMs may be able to better distinguish between factual and fabricated information, allowing for more trustworthy outputs.

While the problem of hallucination is not yet fully solved, this research represents a significant step forward. It provides a glimmer of hope that the limitations of LLMs can be overcome, potentially leading to a future where these models can be more reliably used across a wide range of applications.

Amazon has released a brand new platform with a bunch of new large language models (LLMs) that people can use. So far, these LLMs have only been accessible through their service Amazon Bedrock. Even more interestingly, they're releasing a new thing called Amazon Nova Act, which is essentially an agent that can use a browser.

The overview of these new models shows that they support over 200 languages, which is more than the typical 100 languages supported by most LLMs. The bottom models, Real and Canvas, only support English as they are visual models.

All the models are fine-tunable, and Amazon Nova Light and Nova Pro have a context window of 300,000 tokens, which is quite substantial. While none of these are cutting-edge releases, this move by Amazon shows their entry into the agentic browser-based AI space, which has become increasingly crowded.

However, the current state of these agentic tools is not yet ready for consumer use. They are still a bit "stupid" and very unreliable, as evidenced by incidents like randomly ordering $60 worth of bananas. This category of browser-based agentic tools is just not at a level yet where they are ready for mainstream adoption. The author will continue to keep the audience updated on any changes in this space.

This new benchmark, called PaperBench, is quite unique as it tests different language models (LLMs) on their ability to replicate findings from state-of-the-art AI research papers. It employs an LLM judge to score the results on how well the model did in replicating the research.

The benchmark was applied to several well-known models, including GPT-4, GPT-3 Mini, Deepseek R1, Claude 3.5 Sonnet, and Gemini 2.0 Flash. The results were quite interesting, with Claude 3.5 Sonnet performing significantly better than the other models.

Deepseek R1, which is a "thinking" model, performed almost on par with GPT-4, showcasing its capabilities. However, Claude 3.5 Sonnet clearly outshone the competition, highlighting the importance of factors beyond just benchmark scores.

This benchmark provides a unique perspective, as it looks at the models' ability to understand and replicate complex research, rather than just focusing on generic tasks. It suggests that the "vibes" and overall behavior of a model can be just as important as its raw performance on benchmarks.

The author mentions the possibility of creating a similar benchmark focused on marketing and business use cases, which could be valuable for evaluating the suitability of these models for real-world applications.

Some key updates to ChatGPT that were released over the past few weeks:

• Image creation capabilities have been improved. The model now takes longer to generate images, but the outputs are more accurate.
• Image generation is now available to all ChatGPT users, including free users. Previously it was only accessible to ChatGPT Plus subscribers.
• ChatGPT Plus, the paid $20/month version, is now being offered for free to college students in the US and Canada through May. This requires a valid college email address.

The improved image generation is a welcome update, as it allows ChatGPT to be more versatile in its capabilities. And the free access for students is a great opportunity for those in academia to leverage the power of this language model.

11 Labs has released a new feature called "Actor Mode" that allows users to map their own intonation and pacing onto AI-generated voice recordings. This feature can be particularly useful for tasks like video editing, where the AI-generated voice needs to seamlessly integrate with the existing audio.

The key benefits of 11 Labs' Actor Mode include:

1. Personalized Intonation: Users can add emphasis, adjust pacing, and modify the delivery of the AI-generated voice to better match their own speaking style or the desired tone for the content.

2. Smooth Editing: By applying the user's intonation and pacing, the AI-generated voice can be more easily integrated into existing audio, reducing the jarring effect of a mismatched voice.

3. Efficient Workflow: For content creators who frequently need to re-record or modify voice-over segments, Actor Mode can streamline the process by allowing them to quickly update the AI-generated voice without the need for full re-recording.

To test the feature, the presenter provided two examples:

1. Replacing the number "20" with "30" in the phrase "training this brand new model cost them $20 million."
2. Changing the word "annoying" to "impressive" in the phrase "and that is the most annoying thing about AI."

While the presenter noted that the results were not as seamless as hoped, the feature shows promise in enhancing the integration of AI-generated voices into audio content. As 11 Labs continues to refine the technology, Actor Mode could become a valuable tool for content creators and video editors working with generative AI.

Runway, a leading AI-powered creative platform, has recently released its latest foundational model, Gen 4, which promises to push the boundaries of video generation. This new model, the successor to the acclaimed Gen 3, aims to deliver even higher-quality and more realistic video outputs.

In the comparison provided, we can see that the Gen 4 model excels in several areas. The car example showcases the model's ability to accurately render the wheels in motion, a common challenge for many video generation models. The drone shot, while slightly less polished than previous examples, demonstrates a more realistic camera quality, adding to the authenticity of the generated footage.

When it comes to the water and human anatomy tests, the Gen 4 model performs admirably, though some minor issues are still present. The water simulation, while improved, still lacks the intricate details and natural movement seen in real-world scenarios. Similarly, the human movements, while more realistic than many competitors, exhibit some slight twitching and imperfections in the facial features and fingers.

Overall, the Gen 4 model from Runway represents a significant step forward in video generation capabilities. While not yet perfect, the model's performance across a variety of test cases suggests that it is a strong contender in the state-of-the-art video generation landscape. As the team at Runway continues to refine and improve the model, we can expect to see even more impressive and realistic video outputs in the future.

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 AI. 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 it 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, and 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 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 and 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 there 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 as much as you are, then this is it. That's why we created the community.

Two new Hugging Face tools have emerged this week that allow for text-to-3D generation. While these releases may only be relevant to those working with 3D models, it's worth keeping the community informed.

One of the tools generates only meshes, while the other creates fully fledged 3D models. To test their capabilities, we decided to upload an image of a Labrador and compare the results from the two new models against the current state-of-the-art solution, Hanuan 3D2.

The results appear quite similar, with the new models potentially offering cleaner lines in some instances. If you're interested in AI-generated 3D models, these new Hugging Face tools are definitely worth considering as potential options alongside the existing state-of-the-art solutions.

Nvidia has released an updated version of its Project G Assist software, which is designed to help users optimize their system settings for the best performance. This tool is particularly relevant for those who own high-end Nvidia hardware.

The updated G Assist software utilizes AI features to analyze your system's configuration and make recommendations to optimize your settings. It essentially acts as a knowledgeable tech expert, providing tailored adjustments to help you get the most out of your hardware.

If you're running Windows and have an Nvidia graphics card, it's worth looking into the new version of G Assist. This tool can help you fine-tune your system settings, ensuring you're getting the maximum performance from your hardware.