A Ferrari executive received an important message from CEO Benedetto Vigna. The executive was informed of an impending acquisition and was urged to sign the non-disclosure agreement immediately. The CEO also revealed that Italy’s market regulator and the Italian stock exchange had already been informed about the transaction.
Yesterday, Deepseek released the “Janus-Pro”, which is a multimodal embedding and text-to-image generation model. The abstract reminded me of a talk I gave in 2016, where I mentioned that “data, compute and algorithm” are the three driving forces of AI. This was a common understanding at that time. The tech report starts with “In this work, we introduce Janus-Pro, an advanced version of the previous work Janus. Specifically, Janus-Pro incorporates, (1) an optimised training strategy, (2) expanded training data, and (3) scaling to larger model size”.
The three driving forces still remain unbeaten and play crucial roles in AI advancement.
In 2017, a video of the actress Gal Gadot appeared on social media wherein the lady was engaged in explicit scenes. An anonymous Reddit user named “deepfakes” claimed to be the creator of that video in which the face of Gal Gadot was superimposed on pornographic content. The origin of deepfakes can be traced back to this identity fraud, where deepfake porn impersonates a real individual. Curiously, Reddit users’ actions in revealing deepfakes proved that the real threat of deepfake videos comes not from technology but from people’s natural inclination to believe what they see.
Are you an American feeling betrayed by your favourite politician due to his recent controversial statement? Or an Indian voter riled by a video of a religious preacher’s inflammatory remarks? Are you an English incensed at the videos of mob violence in your capital city London?
As per Ofcom research, a survey in the UK revealed that Two in Five people have seen at least one deepfake in the last six months – including depictions of sexual content, politicians, and scam adverts. Only one in ten are confident in their ability to spot them. Deepfake detection tools are the only solution to tackle this situation. Let’s have a look at the must-have features in deepfake detection tools of 2024.
On Nov 2024, a 62-year health worker saw a Facebook Ad for an investment opportunity. After multiple exposure to the Ad in social media platforms and TikTok, she thought that it might be a smart cryptocurrency investment. She contacted the company behind the Ads and opened an account for over $10,000. Weeks later, she spoke to CBS News about how she had been scammed. Looking back at those videos, she maintains that it looks convincing even though she now knows it was a deepfake. She was quoted by CBS saying, “They still look like Elon Musk. They still sound like Elon Musk.”
The year 2024 began with a jaw-dropping incident demonstrating the devastating affect of deepfakes that made it into the international headlines. On February 2024, a company in Hong Kong became victim to deepfake fraud to the tune of $25 million (HK$ 195 million). A finance executive transferred the funds from the company account after being directed by the deepfake of CFO and several colleagues in a video call.
Exactly a day before voting began in the Maharashtra Assembly elections, a former IAS officer raised serious Bitcoin scam allegations against two senior leaders in the State.
When those words were written in the New Testament, it wasn’t anticipated Satan might use it to fool the gullible masses. Yet in the AI era, Satan has emerged in the form of fraudsters using generative AI
In the age of AI-driven content, deepfakes are emerging as one of the most pressing cybersecurity challenges for enterprises worldwide. India, a rapidly digitising nation, is not immune to this threat.
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