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These Simple Tips Can Help You Spot a Deepfake Instantly

Machine learning and artificial intelligence are among the most innovative forms of the tech that the industry is currently working on, but in spite of the fact that this is the case they also create some problems such as in the case of deepfakes. Deepfakes are AI generated videos that can initially seem indistinguishable from the real thing. Their existence is concerning because of the fact that this is the sort of thing that could potentially end up making it difficult to parse misinformation and fake news.

With all of that having been said and now out of the way, it is important to note that AI company Metaphysic has revealed some cracks in the perfection of deepfakes. Some deepfake tech is capable of generating the face of a celebrity on top of your own during a video call, but something as simple as turning sideways might be enough to break the illusion.


Another piece of information that can help users to spot deepfakes is by asking the other person to put their hand in front of their face. This will once again distort the image, thereby revealing it to be AI generated with all things having been considered and taken into account.

Many scammers have been using deepfakes to pose as interview candidates over Zoom calls, and this information might help interviewers uncover which of their interviewees are legitimate. This technique is suitable for DeepFaceLab, which is an open source tool that many fakers are using to change up their appearances. DeepFaceLive is another software that operates in real time, and it has been used to create facsimiles of celebrities for pornography and the like as well.

This tech is already quite impressive, but this research reveals that it still has quite a long way to go before it becomes foolproof. When that happens, tech leaders will have to figure out how to mitigate the potential harm that the technology can cause. Misinformation is already rampant on social media, and things like deepfakes will only make matters worse and create an untrustworthy environment for the average internet user.


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