Facebook warns billions over ‘rogue AI’ stealing users’ money

META has warned about a growing number of cybercriminals who are targeting ChatGPT users.

Facebook’s parent company Meta said on Wednesday it uncovered a variety of malware targeting ChatGPT users.

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Malware is a malicious file or code that can infect your phone or computer.

It can attack your device through malicious apps, compromised emails, or non-secure Wi-Fi connections.

Most commonly, the goal is to steal a user’s banking information, identity, or passwords.

At least ten such dangerous software was discovered since March, Meta said.

This equated to more than 1,000 malicious links that were purported as legitimate ChatGPT tools.

In some instances, the malware even provided users with real ChatGPT artificial intelligence functions along with malicious files.

“From a bad actor’s perspective, ChatGPT is the new crypto,” said Guy Rosen, Meta’s chief information security officer.

In a statement, Meta revealed it had investigated and taken action against some of the malware strains.

“Our research and that of security researchers has shown time and again that malware operators, just like spammers, try to latch onto hot-button issues and popular topics to get people’s attention,” Meta said.

“With an ultimate goal to trick people into clicking on malicious links or downloading malicious software, the latest wave of malware campaigns have taken notice of generative AI tools becoming popular.”

OpenAI and ChatGPT

Founded in December 2015, OpenAI has dominated tech media since it launched its revolutionary ChatGPT software last year.

ChatGPT 3 is a natural language chatbot powered by artificial intelligence.

It can complete many tasks like answering prompts, writing essays, and even generating complex code in seconds.

Most recently, the company made waves for releasing GPT-4, a large multimodal model.

This means it accepts both image and text inputs to emit text outputs – unlike ChatGPT 3.

Essentially, when shown a photo of something, GPT-4 can describe the scene and even predict what could happen next.

Experts are calling the advancement a huge leap forward for AI learning and development.