Recent news in Japan rekindled rumors about Vladimir Putin using body doubles, with AI deepfakes allegedly making them look more convincing. This highlights the dark side of AI advancements.

Deepfakes, created with AI algorithms, can swap faces in digital content, a potent tool for political manipulation. Detecting them is a growing challenge. OpenAI claims 99% accuracy, but it's not that simple.

🔒 Watermarking, an approach to identify deepfakes, has weaknesses. Not all AI engines will adopt it, and ubiquity is key.

⚙️ Some experts suggest adding code to degrade or mislabel data to thwart deepfake generation.

🌐 AI deepfakes extend beyond politics, posing risks to online safety, including the creation of AI-generated explicit content.

🔍 Detection tools improve, but so do deepfake generators, creating an ongoing AI arms race.

🌟 AI, a double-edged sword, democratizes technology for both good and ill.

The AI deepfake challenge continues. Stay informed, stay cautious! 💡👀 #Deepfake #AI #crypto2023 #cryptocurrency

Meta has launched the Fraud Intelligence Reciprocal Exchange (Fire) tool in partnership with the Australian Financial Crimes Exchange (AFCX) to tackle scams. Over the first six months, Fire has led to the deletion of more than 9,000 scam pages and 8,000 AI-generated celebrity investment scams.

This initiative follows the significant losses reported by Australians, with $43.4 million lost to scams on social media from January to August 2024, $30 million of which involved fake investment scams. The Fire program, involving seven banks, allows direct reporting of scams between Meta and financial institutions, enhancing scam detection and prevention efforts.

Meta’s global threat disruption director, David Agranovich, emphasized the importance of this collaborative approach to combat sophisticated scam activities. Despite promising results, Meta acknowledges the challenges in reporting scams and aims to improve its detection systems further.
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