8 posts tagged with "AI"

DeepMake's software is dedicated to supporting AI education and expanding AI access for everyone. As we say on our website, "As an open core company, we believe that open source software democratizes AI development and promotes accessibility, leading to rapid iteration and scaling. True open source — available to anyone regardless of background, industry, or location — enables experimentation without constraints and drives innovation."

When we say we're committed to remaining open source, we mean it. Our software has no behavioral use restrictions, also known as ethical use licenses. 

Furthermore, we don't believe in behavioral licenses. We don't think they're appropriate for open source software and we don't believe they're enforceable. We're here to develop and promote AI tools and techniques, not control users' actions.

Since ChatGPT's launch in 2022, much of the discussion around AI has been in the domain of AI-generated content. The technology is improving efficiency and innovation in leaps and bounds across the software development, marketing, and entertainment industries.

Ever since the term "deepfake" was first coined in 2017 --- describing a type of AI that can create fake but convincing images, audio, and videos --- the media began speculating about how deepfakes could change the world. Fake videos came with the possibility of widespread ethical issues and misuse. If you believed everything you read six years ago, you would have thought that we were headed for a deepfake apocalypse --- a world where seeing is no longer believing and video footage can no longer be trusted.

Artificial Intelligence (AI) is no longer the stuff of science fiction; it has become part of everyday life. In 2022 alone, AI startups received $52.1 billion in funding from 3,396 venture capital deals. Investment figures like this are a strong indicator that AI has great potential to transform our everyday lives.

Rapid growth, however, comes with challenges. In the case of AI, an increasingly pertinent concern is the issue of AI bias. The tech industry has long struggled with diversity and inclusion. According to a 2019 Wired survey, Silicon Valley still suffers from imbalances, with the combined population of Black, Hispanic, and Indigenous individuals making up only 5% of the workforce. In 2023, a staggering 83% of tech executives are white, and only 37% of tech companies have women on their boards. This striking lack of representation extends to AI, where it's estimated that 78% of global professionals possessing AI skills are male, resulting in a significant gender gap in the field.

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.