OpenAI’s new visual creation feature, which has recently integrated into the Chatgpt platform, has reached an impressive momentum where 700 million images were produced just a few days after the launch.
Brad Lightcap, the manager of the company’s operations, said today on the X platform today, thanks to this updated visual manufacturer, which was launched on March 25, more than 130 million users have created more than 700 million visuals in total. Lightcap said that the team was working 24/7 to respond to high demand. The feature attracted great attention especially in India, and this country has become the fastest growing market of Chatgpt.
This new visual manufacturer, especially Studio Ghibli, has aroused a wide repercussion on social media with the ability to create realistic visuals. However, this interest is seen to bring some difficulties. According to OpenAI CEO Sam Altman, there were delays in some product updates due to the visual manufacturer attracted more than expected interest and periodical performance decreases were observed in existing services.
Demand forces its infrastructure capacity
Altman, the company in order to cope with this intense demand of the infrastructure to expand the work of accelerating. OpenAI has reported that it has made various investments to increase cloud information resources, increase server capacity and ensure service continuity. Nevertheless, it is observed that users may experience delays in access to service, especially at heavy hours.
The new visual manufacturer is accessible for both paid and free users of Chatgpt. However, some high quality or special visual production options are only available within the scope of Plus and Enterprise subscriptions. This is also directly related to the company’s long -term income model. On the other hand, such a rapid increase in visual production capacity shows that user behaviors are directed from text -based systems to multi -media -supported vehicles.
Although this success is remarkable, some experts emphasize that this rapid growth brings with it ethical and technical responsibilities. In particular, issues such as copyrights of visuals, disinformation risk and unreal content production seems to remain on the agenda of regulatory institutions and technology developers in the long run.
In addition, detailed analysis of the quality of the visuals created by users are not yet public. However, the examples that users share on social media show that the system reflects the artistic and creative aspects of the system very successfully. Nevertheless, the fact that some visual examples are very close to reality brings concerns about deep false (deepfake) content again.
In any case, this new tool of OpenAI offers an important indicator in terms of understanding both the point of artificial intelligence -based content production and the dynamic nature of user demands. The company is expected to share new information about technical developments, usage limits and security policies in this area in the coming weeks.