We implemented it for images similar to passports as
Posted: Mon Dec 23, 2024 8:17 am
The second is reducing political bias.You may have seen it criticized for being too liberal. That was not intentional. We work very hard to reduce political bias in the behavior of the model and will continue to do so. The third is we want to point voters to the right information when they are looking for voting information. Those are the three things we are focused on when it comes to elections. Deepfakes are unacceptable in terms of false information. We need to have very reliable ways for people to understand that they are looking at a deepfake.
We have done some things. We also open israel phone numbers sourced a classifier that can detect if an image was generated by a person. So metadata and classifiers are two technical ways to deal with this. This is proof of provenance specifically for images. We are also looking at how to implement watermarking technology in text.But the point is people should know they're dealing with a deepfake and we want people to trust the information they're seeing. Host: The point of these fakes is to deceive you, right? The Federal Communications Commission just fined a company $30 million for creating a deepfake audio that sounded like a recording of Biden during the New Hampshire primary.
There may be more sophisticated versions out there. A tool called is being developed that can recreate someone's voice from a 10-second recording. It will be able to create a recording of a person speaking in another language. Because the product manager told the New York Times that this is a sensitive issue that needs to be done right. Why are you developing this? I often tell tech people that if you're developing something that looks like a Black Mirror episode, maybe you shouldn't be developing it. : I think that's a hopeless attitude.
We have done some things. We also open israel phone numbers sourced a classifier that can detect if an image was generated by a person. So metadata and classifiers are two technical ways to deal with this. This is proof of provenance specifically for images. We are also looking at how to implement watermarking technology in text.But the point is people should know they're dealing with a deepfake and we want people to trust the information they're seeing. Host: The point of these fakes is to deceive you, right? The Federal Communications Commission just fined a company $30 million for creating a deepfake audio that sounded like a recording of Biden during the New Hampshire primary.
There may be more sophisticated versions out there. A tool called is being developed that can recreate someone's voice from a 10-second recording. It will be able to create a recording of a person speaking in another language. Because the product manager told the New York Times that this is a sensitive issue that needs to be done right. Why are you developing this? I often tell tech people that if you're developing something that looks like a Black Mirror episode, maybe you shouldn't be developing it. : I think that's a hopeless attitude.