OpenAI’s ChatGPT has started to lose users, why it is happening not clear yet.
Worldwide mobile and desktop users for AI (ChatGPT) tool decreased around 10% from may to June, reported on Friday (July 7) by Washington Post.
ChatGPT’s iPhone app downloads have gradually decreased after outreaching a peak in early June, announced by the data firm Sensor Tower.
The Post article described some reasons for the users decline, a theoretical fall in quality because popularity rose the cost to keep AI running, as a result OpenAI carry out various modifications to reduce the expenses. Mostly students used it to write papers may be that school is not in session.
A report by Ars Technical on Friday highlighted that ChatGPT is also facing various external factors that can impact its number of users, like companies encouraging not to use AI tools due because of privacy concerns.
Furthermore, the report added that ChatGPT has also started countering user backlash and pressure from regulators by deleting the harmful ChatGPT answers, due to which some users leave it, probably considering that it is less useful, and trustworthy.
OpenAI is also facing a federal lawsuit by California firm that allege OpenAI of participating in a campaign to get a massive data secretly from internet, this data includes the personal information, conversations, medical data, and information about children, without the permission of the owner.
Expect this unrivalled theft of private and copyrighted data that is associated with the real people, said by the Clarkson Firms lawsuit, they added that OpenAI would not be multibillion dollar business as they are today.
In addition to this, PYMNTS currently find out the cost of involving AI to businesses, they noted that the rapid growth of GPT products could undoubtedly become unsustainable, when even the White House highlighted the significant environmental impact of the raised energy consumption and data center space required for extended for generative AI applications.
PYMNTS wrote that prior to handling the cost of running large language models, companies taking more interest to build their own generative AI solutions that will come up against the cost of training them.
To train generative AI needed both owning or renting time on hardware, essential data storage requires and intensive energy consumption. The cost just to train OpenAI’s GPT 3 exceeded $5 million.
