▾The lack of computational power hinders the development of artificial intelligence. OpenAI faces challenges in developing new products such as an improved ChatGPT with visual recognition and new versions of DALL-E and Sora. The increasing complexity of AI models requires enormous computational capacity, which slows down innovation and the launch of new features on the market.
The popularity of artificial intelligence is growing and permeating more and more areas of our lives. However, despite rapid progress, it seems that even this technological marvel is hitting its limits. The lack of computational power is becoming an obstacle and prevents developers from developing new tools.
Insufficient computational power won't be resolved soon
Training and operating complex artificial intelligence models require enormous computational power. With the increasing complexity of these models, which are capable of generating increasingly realistic texts, images, and videos, the consumption of powerful computers and specialized hardware is also growing.
OpenAI, one of the leaders in the AI field, has openly admitted that the lack of computational power is one of the main factors slowing down development and the launch of new products. The originally promised improvement to ChatGPT's conversational function with visual recognition, called Advanced Voice Mode, is thus postponed indefinitely.
DALL-E and Sora: when can we expect new versions?
The development of other OpenAI products, such as the image generator DALL-E and the video generator Sora, is also not without problems. The company has not yet announced any release date for the new version of DALL-E. Sora, which faces technical challenges and competition from other systems, is also delayed.
The reason is again the lack of computational power and the need for further model improvements. OpenAI is already planning to build additional data centers, but even there it faces problems. In addition to a lack of funding, ecology also plays a role in development. Scientists are increasingly pointing out that artificial intelligence significantly contributes to the growth of the carbon footprint.
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