Deepfake videos are becoming easier than ever to make these days, thanks to software advancements that produce better images. Technology is constantly improving, so we can reasonably expect even more mind-blowing advancements in the near future.

But you don't have to wait around for the next big breakthrough to occur. You can make better deepfakes today with the tools that are already available to you. It's pretty simple, really: Instead of relying on still photos for training data, use the higher-quality data that videos provide to train your machine learning (ML) model.

So what makes video a superior training tool for AI?

All AI models require training data — and most developers get their data unethically. Everyone seems to be doing it: OpenAI was recently hit with multiple lawsuits (more) claiming the company stole internet data to train its popular ChatGPT tool. And Stability AI, the creator of the well-known Stable Diffusion tool, is being sued by Getty Images for copyright infringement for using millions of images without the proper licensing.

Ask anyone on the street what they think about AI, and you’ll probably hear that they’re concerned. That’s to be expected since AI is blowing up today’s headlines, and not always in a good way.

There’s no denying that AI is a powerful tool. It has revolutionized the way we interact with technology, giving birth to intelligent virtual assistants, self-driving cars, and language processing tools. Some view it as a solution for all the world’s ailments, while others call it a curse that will bring down society as we know it.

Read the news on any given day and you’ll see media firestorms about the dangers of AI and fearmongering over robots being developed for warfare. Simultaneously, countries are diving headfirst into AI development and new software is emerging daily. The hustle for AI dominance has our heart rate rapidly rising, reminiscent of the nuclear arms race of the twentieth century.

The reason AI development has made such impressive strides lately is largely due to the use of open source software. This isn’t just some niche trend — everyone’s using open source AI, from programmers to academics to everyday users.

You wouldn’t expect a behemoth like Google, which has its hands in almost every aspect of technology, to even care about open source and open core technology. But it turns out, it does care. And it’s afraid. Very afraid.

Deepfakes are everywhere these days, from Tom Cruise TikTok impersonations to fake video of former president Donald Trump resisting arrest. Because the AI engine behind deepfakes is relatively complex and technical, there is a fair amount of misinformation about how these videos are created.

Unless you live under a rock, you’ve heard about deepfakes. Deepfakes are videos that blend reality with fiction by training a generative neural network to replace a person’s face with someone else’s. These videos are making news, and not always in a good way. They can create the idea that a person — usually a celebrity or political figure — is doing something they did not do. And sometimes, they are made and distributed with malicious intent.

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