Elon Musk Threatens Microsoft with Lawsuit
Elon Musk, the CEO of Twitter, threatens Microsoft with Lawsuit. He accuses the tech giant of illegally training its Ai on Twitter data. In response to a post, he stated that Microsoft would no longer support Twitter, its online social advertising tools, start campaigns etc. Therefore, he made the allegation that Microsoft trained illegally using Twitter data. He means the company has mined user tweets to help prepare its Ai powered applications.
Allegation of Illegal Ai Training
Microsoft did not provide a reason for its decision to wind down Twitter support. But as far, a report from Wired suggested that Twitter’s API fees had skyrocketed from $0 to $42,000 a month. Furthermore, Elon Musk stated that Microsoft was demonetizing Twitter data by removing advertisements and selling our data to others.
Microsoft Scraps Twitter Support
Microsoft’s decision to abandon Twitter means its users will lose access to their accounts through its tools. Moreover, being unable to create, manage, view and schedule tweets. The software company is reportedly evolving its Ai chips to power ChatGPT to deal with increasing development costs for in-house and Open Ai projects.
However, Microsoft declined to comment on Musk’s claims and its decision to scrap Twitter ads support. According to Google Finance, Microsoft is behind only Apple as the second largest company in the world by market cap.
Developing Personal Ai Chip
Allegations of illegal AI training and data monetization are serious charges. It could have significant implications for both companies. Therefore, Elon Musk threatens Microsoft with a lawsuit, suggesting that he believes that he has a strong case against Microsoft. However, it remains present whether the Lawsuit will fill.
Conclusion
Elon Musk threatens Microsoft over allegations of illegal Ai training on Twitter data. Data monetization is a severe development of the ongoing battle between tech giants over access to user data. The story also highlights the importance of transparency and ethical practices in AI development.