Deepfakes are gaining momentum and spreading quickly.

[kexej28769@nongnue]

Imagine a world where anyone can become Spielberg overnight. AI tools can craft engaging visuals and tell compelling stories, producing videos faster than popcorn at the movie theater. This future driven by generative AI is closer than you think, and it raises an interesting question: How do you stand out in a sea of content created with minimal effort? The answer lies not in resisting the wave, but in riding it with two powerful allies : data labeling and fact-checking.

Google, Meta, OpenAI, and Adobe have already sweden number data started adding some watermarks to their AI-generated image content. See some examples below:



While this is great news and encouraging for creators, we still have to see how these efforts can be unified, or even better, agreed upon on a standardized approach. This will be important for accessibility, user experience, and interoperability of data across systems.

The curse of factually incorrect videos: Deepfakes are the new negative SEO
Let's take a concrete example. See the video below:


Here’s a short but insightful video showing how deepfake videos can be created very quickly on a more powerful computer. Now, consider the potential for using these deepfakes to spread misinformation on the internet for a variety of reasons: