Mark Zuckerberg's Jarvis AI And Its Connection To Morgan Freeman [Video]By Noi Ramirez, UniversityHerald Reporter
Yes, he did it. Facebook CEO Mark Zuckerberg built his own AI and called it Jarvis. Not only can it do what he expects it to do but also he even gave it one of the most recognizable voices in the entire planet.
The system, of course, is inspired by Tony Stark's Jarvis AI, though it had the standard female voice. Thankfully, the public had a better idea. Inspired by more than 50,000 comments, Morgan Freeman was the overwhelming choice to replace the robotic voice.
When the opportunity came, Zuckerberg saw Freeman at the Breakthrough Awards and he asked him. Morgan, of course, said yes, according to the BBC. There was no report if there was any financial consideration for Freeman lending his voice to the AI.
Now we do not need to get into details why Freeman's voice was chosen. He voiced many characters and narrated documentaries he even played God. His tonal voice quality has that calming yet authoritative feel to it.
Impressive as it may seem, the video only highlighted some of the actual tasks that Zuckerberg's Jarvis AI can theoretically perform; however, the system is not yet as perfect and fully functional as what the video portrays, according to The Verge. One problem it has is deciphering context.
Very recently, Zuckerberg posted another video with Jarvis AI, seemingly voiced originally by Arnold Schwarzenegger. It also showed his attempt at humor telling Priscilla that Jarvis only listens to him and Priscilla giving him the eye.
What is impressive about the early version of the Jarvis AI is how it can recognize Zuckerberg's taste in music. It also worth mentioning that he has built for himself a Facebook Messenger bot that allows him to communicate with Jarvis via text, a method he prefers since he does not want disturbing anyone in the house.
Admittedly, truly capable AI is still a long way off, however, it would be a delight to see if Zuckerberg succeed to have it raise its functionality and learning to a more capable system.