Elon Musk has also offered to give $5,000 (about Rs 3.75 lakh) to a young man to prevent him from keeping an eye on his private jet due to his safety concerns. The young college student is also working to keep an eye on a number of high-profile data using Tesla and SpaceX CEO's private jets and publicly available data. Musk has reached out to 19-year-old Jack Sweeney, the owner of the account, over his growing concerns with Twitter account Elon Musk's Jet (@ElonJet) in November 2021. But, Sweeney turned down his offer and instead asked for $50,000 (about Rs 37.55 lakh). Sweeney has said that with so much money, he will pay his school fees and at the same time, he is going to buy a car.
The conversation between Musk and Sweeney took place on Twitter via direct message (DM). Musk has previously tried to find out how Sweeney set up bots to track down his planes and what he has earned by doing this. Where it is revealed that @ElonJet is one of the 15 flight-tracking accounts that Sweeney has created. Each of these handles follows a high-profile person, including Bill Gates and Jeff Bezos. But Musk has the most followers (over 1,15,000 by the time of writing the news) @ElonJet handle dedicated to tracking the plane.
After all, Musk has given a $5,000 presentation to Sweeney to shut down this Twitter handle. According to reports, Sweeney has asked for $50,000 to close the handle. "It [the amount] will be a great support for college [fees] and is probably giving me the chance to buy a car, maybe even a Tesla Model 3 electric car." Musk has previously said he would consider Sweeney's offer, but later said it was "not right" to make a payment to close the handle. Asked about receiving a direct message from Musk, Sweeney has told the New York Post that it was "awesome, but a bit scary." He said he would be interested in working for one of Musk's companies in the future, possibly for an internship.
Lowest cost 32-inch smart TV launched in India
A new conqueror of the technology world: Divesh Gupta
IIT Jodhpur develops COVID-19 diagnosis technique using chest X-ray images