'I don't want to be murdered by a Chinese robot'

In the world of technology, the approach of some companies to their endeavors often mirrors the perspective of Marvel Studios after the success of "Endgame". Despite the criticism and the results, these companies remain confident that their products will be well-received by the audience. After the departure of Robert Downey Jr., the Marvel Cinematic Universe (MCU) saw a rise in popularity under the guidance of Jonathan Majors, Robert Downey Jr., and the original cast members in the film "Avengers: Doomsday".

The MCU's desire to tie in its various elements, including the character of Victor von Doom as a variation of Tony Stark, has fans speculating about the intricate web of connections between the characters and universes.

However, the focus of this story is not just about the MCU, but also about the concerns surrounding artificial intelligence (AI) and its potential impact on humanity. With the rapid advancement in AI technology, there are growing fears that these systems could pose a significant threat to human existence. Jacob Coxon, an AI researcher, resigned from his position at Anthropic, expressing his concern that "frontier labs" are "gambling with our lives" by working towards the creation of self-improving AI systems that could ultimately surpass human control.

Another researcher, Evan Hubinger, estimated that the likelihood of AI killing humans within a decade is above 10%.

The aversion to AI being built by China has become a significant factor in this race, with tech leaders fearing that the Chinese might develop a more advanced AI system before their counterparts in Silicon Valley. The thought of a Chinese-built AI system killing people, particularly for those who speak Chinese, has been a source of amusement and concern.

In this context, an American comedian, Ray Kump, humorously remarked, "We have to build AI that murders us, because if we don't, China will build it first, and I don't want to get murdered by a computer that speaks Chinese."

While the AI industry is undoubtedly lucrative, there are also skeptics who question the feasibility and necessity of such developments. Princeton computer scientist Arvind Narayanan and AI researcher Sayash Kapoor argue that the concept of "p(doom)" – the probability of AI leading to human extinction – lacks a solid foundation, as there is no historical precedent to base it on.

The uncertainty surrounding AI's development and its potential consequences has led to a debate about the responsible and ethical implications of this technology.