Large AI models are now powerful enough to generate new, small AI tools without the assistance of humans. A team of scientists from MIT and several University of California campuses, working with AI technology company Aizip, claim to have successfully replicated large AI models, such as the one that ChatGPT runs on.

"Right now, we're using bigger models to build the smaller models, like a bigger brother helping [its smaller] brother to improve. That's the first step towards a bigger job of self-evolving AI," Yan Sun, CEO of Aizip, told Fox News. "This is the first step in the path to show that AI models can build AI models."

"Our technology is a breakthrough in the sense that for the first time, we have designed a fully automated pipeline," one of the researchers, Yubei Chen, added. It "can design an AI model without human intervention in the process."

While large language models, such as ChatGPT, are reported to cost $700,000 per day to run, small AI models, also known as tiny machine learning or TinyML, can run at a low cost and can be carried around on devices.

TinyML can be used for a variety of tasks ranging from facial recognition to hearing aids and home appliances.

"We are working on really specific tasks, the very very low-cost solutions that can be used in every corner of the world," Sun said.

"We are bringing the intelligence into the daily life, making life safer," he added.

The team is focused on creating these tiny AIs but says that the design process can now automatically be done by more intelligent AI.

"In the future we believe that the large and the small will collaborate and build a complete intelligence eco-system," Chen said.