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With the rapid development of artificial intelligence technology, iPIKA, an AI video generation platform, recently launched a striking new feature—allowing you to meet your younger self. This feature has quickly sparked heated discussions since its launch, becoming another innovative case combining technology and emotion. iPIKA's new feature allows users to generate a virtual video interacting with their younger selves by uploading a childhood photo and a selfie video. The specific operation process is: Users shoot a selfie video, ensuring that half of the screen is left empty (themselves located on the left or right).

Lei Jun pointed out that AI terminals, as important platforms for the implementation of AI technology, are constantly expanding their application scope, extending from smartphones, smart cars, and wearable devices to smart homes and robots. This trend not only injects new vitality into the consumer market but also provides key impetus for the high-end and intelligent upgrading of the industrial chain. However, in the early stages of the rapid development of AI terminals, it is still necessary to overcome core technological bottlenecks, build a collaborative innovation ecosystem, and promote industry standardization, collaboration, innovation, and high-quality development.

The issue of deepfake crimes in South Korea has drawn widespread attention from society, particularly concerning the increasing number of cases involving minors, with an estimated 220,000 individuals affected. The victim demographics are broad, including students, teachers, military personnel, and a significant proportion of minors. These crimes are rapidly disseminated through social media, with some victims' information being used for validation in illicit groups. Cases of deepfake targeting women have garnered particular attention, with known affected schools exceeding 100, including both domestic and overseas Korean international schools. In response, the South Korean president has called for strengthened investigations and the eradication of crimes utilizing digital technology.

AI face-swapping technology, known as Deepfake, has gradually become widespread against the backdrop of rapid technological advancement, attracting significant attention. A strikingly realistic live stream video of Musk has sparked heated discussions online, drawing a large audience and revealing the potential and risks of the technology. Deepfake technology is not only used for live streams but can also create highly realistic social media videos, such as a fake Musk TikTok account, which has garnered an impressive number of likes and shares, making it hard to distinguish truth from falsehood. However, the application of this technology has also led to a series of issues, particularly the increased risk of telecommunication fraud.

As the realism of AI-generated images increases, people begin to question the authenticity of videos. A video released by 'Quantum Bit' on Bilibili discusses how to identify AI-produced videos, triggering widespread interest. The video introduces some intuitive recognition methods, such as observing whether characters' movements and expressions are natural, as well as the coordination of voice, mouth shapes, and emotions. In the face of a vast number of videos, AI recognition technology becomes crucial. The traces left by AI face swapping technology during the splicing process serve as important clues for AI recognition. The research team developed classifiers from dimensions such as models, motion, and geometry.

According to CCTV news, a recent case in Huangshi, Hubei, involved a criminal gang using AI face swap technology to unlock and resell social accounts for illegal profits. Victim Mr. Wang joined a stock trading live broadcast room, was induced to invest, and ultimately faced withdrawal difficulties. The other party's account was frozen due to suspected fraud, preventing funds from being withdrawn.

With the rapid development of artificial intelligence technology, AI-generated videos are becoming increasingly realistic, posing serious security risks to society. Recently, a $25 million fraud case utilized a lifelike video created by AI. To address this challenge, a research team at Columbia Engineering has developed an innovative tool called DIVID (DIffusion-generated VIdeo Detector) designed to detect AI-generated videos.

The Beijing Internet Court recently heard two cases of 'AI face-swap' software infringement, marking Beijing's first such case. Plaintiffs Liao and Wu, who are models for traditional Chinese short videos, accused the operator of a 'face-swapping' app of using their videos to create face-swap templates without authorization, and offering them for paid use on the app, thus infringing upon their portrait rights and personal information rights.

A man uses AI face swapping to 'revive' his deceased father to comfort his grandmother. Face exchange technology has made breakthroughs in the film production field, and AI technology has made face swapping easier.

Fraudsters utilized AI technology to successfully defraud $25 million. Financial staff received false information from a supposed British Chief Financial Officer and made 15 remittances to the scammers. Police advise requesting specific actions from the counterpart before remitting funds to prevent similar situations.

{Point 1: The Ministry of Public Security has solved 79 criminal cases involving the use of 'AI Face Swap' technology and arrested 515 criminal suspects. Point 2: Law enforcement agencies have collaborated with national key laboratories and other organizations to conduct security assessments on facial recognition and live detection technologies to effectively protect citizens' personal information. Point 3: In response to the fraud issues caused by 'AI Face Swap', law enforcement agencies rely on the 'Clean Net' special operation to crack down on the sources of crime that leak ID photos and other image information.}