Tesla CEO Elon Musk recently invited coders and engineers over Twitter to attend an AI party/hackathon at his house.
The tech billionaire, known for his quirky social media posts, tweeted that he would hold a "super fun" AI Party/hackathon at his place.
The tweet instantly went viral and heaps of replies were posted. Among those, one of the Twitter users queried if he needed a PhD in AI technology to attend the party.
Musk was swift enough to reply that there was no need to really have a PhD to learn the intricacies of AI. He also went out to add that he doesn't care if the user has even graduated high school.
It is not clear as to which of Musk's houses will the part be hosted and how many people could attend it. However, it seems that the hackathon party can possibly be a wider recruitment drive for Tesla's autonomous driving programme.
Earlier, Musk had mentioned about AI to encourage more people to join and work for its Tesla Autopilot Test. The areas of applications are Hardware, Neural Networks, Autonomy Algorithms, Code Foundations and Evaluation Infrastructure.
In another tweet, he told his followers that that he had now hired the Artificial Intelligence technology, turning AI into a subordinate that "reports directly" to him daily.
Tagging Lex Fridman, a known host of the Artificial Intelligence podcast on YouTube, Musk tweeted: "At Tesla, using AI to solve self-driving isn't just icing on the cake, it the cake" @lexfridman
Musk has always been critical of the use of AI and has been at loggerheads with Facebook's CEO Mark Zuckerberg and former Alibaba Chairman Jack Ma over the role of AI. Even as the tweet suggests, Musk thinks AI can only do 'benign' tasks and those jobs too are being evaluated critically by him.
Tesla is using advanced AI for vision and planning, supported by efficient use of inference hardware to achieve a general solution to full self-driving.
The company is building silicon chips that power its full self-driving software from the ground up, taking every small architectural and micro-architectural improvement into account while pushing hard to squeeze maximum silicon performance-per-watt.
It is applying cutting-edge research to train deep neural networks on problems ranging from perception to control.
During a recent presentation about Neuralink's brain-machine interface technology, he said: "Even in a benign AI scenario, we will be left behind.
"Hopefully, it is a benign scenario. But I think with a high-bandwidth brain-machine interface we can actually go along for the ride. And we can effectively have the option of merging with AI," Musk told the gathering.