In today's post with video, we'll explore the distinct differences between genuine, human-taken (yes, it's 2023, and we need to emphasize that š) film photographs and artificial intelligence computer-generated images. While I can easily spot the differences between film photographs and A.I. images, some who are less familiar with photography or digital imaging may find it challenging. In the future, spotting the fakery will be crucial, so we'll delve into the subtleties of visual discernment even more moving forward.
Film, an iconic aesthetic, is the gold standard in photography and filmmaking, and almost every preset, LUT, simulation, or digital camera algorithm makes decisions based on that aesthetic standard. So once the temporary craze of clicking prompts to create A.I. "art" dies down, the bounceback will be very strong, and the enduring value of human involvement in creativity will continue to be appreciated.
So, what exactly is an A.I. image? - AI-generated images are created using artificial intelligence algorithms, specifically deep learning techniques like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). These algorithms are trained on vast datasets of real images, learning the underlying patterns and structures of the data. Once trained, they generate new, seemingly realistic images. AI-generated images do not directly capture a scene but are synthesized based on the knowledge the A.I. has gained during its training. So, let's be clear - A.I. images have ZERO to do with photography or art; instead, it relies on using the work of others even to have an existence.
As demonstrated in the video, even old-school film photos made decades ago still surpass AI-generated images in aesthetics, creativity, and feel.
Can you spot A.I. images instantly, or do you have to do a double-take?
To quote Universal Music Group, who recently released a statement on all the fake A.I. songs by their artists popping up:
"This begs the question as to which side of history all stakeholders in the music ecosystem want to be on: the side of artists, fans, and human creative expression, or on the side of deep fakes, fraud, and denying artists their due compensation."
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