One year ago, an unbelievable video of Will Smith eating spaghetti took the world by storm. We humans joked about it; the uncanny valley was clear, and we could easily tell that it was fake. At that point, nobody was really afraid. Fast forward to June 17th, 2024, and generative AI tech has taken another monumental leap forward. The idea of Will Smith eating spaghetti in 2024 is no longer a laughing matter. If the pace of development doesn’t plateau soon, these tools could put our Hollywood idols out of business, leaving us without the icons that have shaped popular culture for decades. In today’s video, we’re going to descend further into the uncanny valley and explore five new generative AI tools that you can actually use today. By the end of this video, you’ll have the power to fire your human photographer, videographer, sound engineer, and programmer. This is the Code Report, and today we’re diving into the future of AI.
A few months ago, OpenAI previewed Sora, a new generative AI tool designed to push the boundaries of video creation. The world was teased with a slew of AI-generated videos that were nothing short of astonishing. Not to be outdone, Google followed up with Vo, another impressive entry into the rapidly evolving world of AI video generation. But just this week, the Chinese tech industry made waves with the release of Kling, a new model capable of generating videos up to two minutes long at a stunning 30 frames per second. The quality is incredible—arguably better than what we’ve seen from Sora or Vo—but there’s one big problem with all of these models: they’re not available to the public.
For the average user or even the professional content creator, these tools remain tantalizingly out of reach. But all hope is not lost. Fortunately, a new generative AI tool called the Dream Machine from Luma Labs has just dropped, and it allows you to create relatively realistic video clips with ease. I decided to test it out with a prompt for two old men doing yoga, and the results were virtually indistinguishable from real life—unless, of course, you scrutinize the details closely, particularly the fingers, which still struggle with realism. In addition, this is the same tool used to generate that now-famous video of Will Smith eating spaghetti, which became a viral sensation. While impressive, there’s still a critical question: is there any practical or commercial use for this generative AI tool? For now, it seems that the Dream Machine is primarily good at one thing: simulating nightmares.
Before we move on to the next topic, let’s talk about something your LLMs and generative AI tools can’t live without: data. Data is the lifeblood of AI, and collecting it on a massive scale used to be a complex and often frustrating endeavor. In the early days, you’d have to set up proxy networks, develop web unblockers to bypass CAPTCHAs, and deal with all sorts of technical challenges like server errors and browser fingerprinting. These issues made large-scale data scraping a nightmare for developers and data scientists alike.
However, advancements in web automation tools like Selenium, Puppeteer, and Playwright have revolutionized the way we collect data from the web. These tools allow you to scrape the web on a massive scale without blowing up your budget in the process. And that’s where Bright Data comes in, the sponsor of today’s video. Bright Data takes your scraping operations to the next level, providing a seamless solution that integrates with your existing setup at a fraction of the cost. With their scraping browser API, you can forget about proxies and web unblockers; everything you need to scrape data at scale is under the hood, making your web scrapers unstoppable. If you’re serious about leveraging generative AI tools like the ones we’re discussing today, then you need to ensure your data pipeline is as robust as possible. Try Bright Data’s scraping browser API for free right now with the link in the description.
The next big generative AI tool you need to know about is Stable Diffusion 3 Medium. Just hours ago, the model weights were released, and it’s already being hailed as the most advanced open text-to-image model available. Unfortunately, it’s only available under a non-commercial license, but the level of quality it delivers is nothing short of extraordinary. What sets Stable Diffusion 3 Medium apart from previous iterations is its newfound ability to reliably generate text from your prompts. This has been a significant limitation in earlier models, but now, AI-generated text within images is not only possible but highly accurate.
For those of you who have ventured into the world of AI-generated imagery, you’ll know how frustrating it can be when the text doesn’t align with your vision. Stable Diffusion 3 Medium changes the game. If you currently have an AI girlfriend—no judgment here—you might want to consider upgrading her visual appearance with this new model. I know, I know, it’s the personality that matters, but let’s be honest: she’s going to look pretty “mid” compared to what your friends are generating with ST3.
Now, let’s move on to a generative AI tool that’s not only innovative but also highly practical. This sound effect generator from 11 Labs, the same company that engineered my voice, allows you to create realistic soundscapes with just a text prompt. Imagine needing a specific sound effect for your video project or podcast—perhaps the ambiance of a bustling city street or the tranquility of a serene forest. With 11 Labs’ tool, all you have to do is describe what you want to hear, and it will generate multiple sound effects for you to choose from.
Here’s an example:
Now, what I failed to tell you is that one of these examples was real, and one was AI-generated. Can you tell the difference? I bet you can’t. The level of realism that generative AI tools like this can achieve is truly remarkable, and it’s only going to get better from here.
Now, let’s talk about code generation—a topic that’s near and dear to my heart. I’ve been patiently waiting for AI to take my programming job, but so far, I’ve been disappointed. However, there may still be hope. A few weeks ago, the French startup Mistol released a new model called CodStroll. It’s an open model, meaning it’s available for public use, but unfortunately, it cannot be used for commercial purposes just yet. Despite this limitation, CodStroll performs extremely well on coding benchmarks, outperforming many other open models currently available.
I’ve been playing around with CodStroll on Oama, and I have to say, it’s extremely impressive and also very fast. It handles complex coding tasks with ease, making it a powerful tool for developers. However, like many generative AI tools, it still struggles with some of the more nuanced aspects of programming—such as centering a div, the age-old problem that continues to baffle even the most advanced models.
When it comes to AI writing code, there are generally two types of people. There are the Devons of the world, who are fully embracing AI and trying to get it to write nearly 100% of their code. These individuals are usually young, ambitious, and perhaps a bit naive, according to the AI doomers. On the other end of the spectrum, we have the Boomers—seasoned developers who think that AI-generated code is total slop and has no place in the industry. But the optimal hot take likely lies somewhere in between. Generative AI tools like CodStroll are powerful, but they’re not perfect. The key is to find a balance, using AI to enhance productivity while still relying on human expertise to ensure quality and accuracy.
Another free generative AI tool you can use right now is Cursor, which is a fork of VS Code and one of the first truly AI-focused code editors. Instead of memorizing syntax and manually writing out code, you can give Cursor the context of an existing codebase or documentation. From there, simply hit Control K and write your code using natural language prompts. If you’re worried that it’s writing garbage code, don’t be—Cursor allows you to enforce certain rules and even has the capability to perform a code review. It’s like GitHub Copilot on steroids, and it’s a game-changer for developers who want to streamline their workflow.
Generative AI still has a long way to go, but if I were a programmer right now, I’d be very concerned about the amount of progress made by these data science nerds in just the last year. Generative AI tools like Cursor are not just novelties—they’re shaping the future of software development, and they’re doing it at an unprecedented pace.
As we descend further into the uncanny valley, it’s clear that generative AI tools are revolutionizing the tech landscape in ways we couldn’t have imagined just a few years ago. Tools like the Dream Machine, Stable Diffusion 3 Medium, 11 Labs’ sound effect generator, CodStroll, and Cursor are not just novelties—they’re shaping the future of creative and technical work. Whether you’re looking to create realistic videos, generate high-quality images and sounds, or streamline your coding process, these generative AI tools offer powerful capabilities that are becoming increasingly accessible.
For those passionate about staying at the forefront of technology, it’s essential to keep up with these advancements. Websites like Gadget Kings provide valuable resources and the latest gadgets to help you leverage these generative AI tools effectively. Whether you’re a professional looking to enhance your workflow or a tech enthusiast eager to explore new possibilities, Gadget Kings has a wide range of products to meet your needs. From AI-enhanced devices to cutting-edge software solutions, they’re your go-to source for staying ahead of the curve.
In this ever-evolving tech world, embracing generative AI tools can give you a significant edge. The rapid advancements we’ve seen in the past year alone are just the beginning. As these tools continue to develop and become more refined, their impact on industries ranging from entertainment and media to software development and data science will only grow.
Stay curious, stay informed, and keep experimenting with these incredible technologies. The future is here, and it’s powered by AI. Whether you’re creating a viral video, generating lifelike images, composing realistic soundscapes, or coding the next big app, generative AI tools are here to help you achieve your goals with unprecedented efficiency and creativity.
This has been the Code Report. Thanks for watching, and I will see you in the next one.
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