"The Godfather of Artificial Intelligence" warns: We may reach a stage where we do not understand the language of machines!

In light of the rapid development of artificial intelligence, experts believe that humans may face unprecedented challenges in understanding the language of machines and their way of thinking, which could pose serious risks if it goes out of control.

Geoffrey Hinton, the renowned scientist known as the "Godfather of Artificial Intelligence," confirmed in an episode of the podcast "One Decision" aired on July 24 that artificial intelligence is currently performing "sequential reasoning" in English, allowing developers to track its thoughts, according to "Business Insider." However, he warned that the development of artificial intelligence's own internal languages could render humans unable to understand what is going on in its mind.

Hinton added: "Now, it becomes even more frightening if they develop their own internal languages to communicate with each other," noting that artificial intelligence has already shown its ability to think of "terrifying" ideas.

He continued: "I wouldn't be surprised if they developed their own language for thinking, and we do not know what they are thinking," emphasizing that most experts expect artificial intelligence to surpass human intelligence in the future, and it may become incomprehensible to us.

Hinton, who worked for over a decade at Google, has always been outspoken about the potential risks of artificial intelligence, considering that many tech leaders underestimate them, including the risk of widespread job loss. He confirmed in the podcast that the only way to ensure that artificial intelligence does not turn against humans is "to find a way to ensure that it is beneficial."

In a related context, the artificial intelligence industry is witnessing fierce competition among tech companies, which are offering astronomical salaries to attract talent. In a move to regulate this sector, the White House announced on July 23 the "Artificial Intelligence Action Plan," which aims to restrict funding in states with strict regulations, focusing on accelerating the construction of advanced data centers.