According to research published Friday by a group of scientists who claimed the project was the first of its kind, artificial intelligence models can now create smaller AI systems without the assistance of humans.
A collaboration between Aizip Inc. and scientists at the Massachusetts Institute of Technology and several University of California campuses demonstrated that larger AI models, such as the ones that power ChatGPT, can create smaller, more specific AI applications that can be used in everyday life. These specialized models could aid in the improvement of hearing aids, the monitoring of oil pipelines, and the tracking of endangered species.
“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 the AI tech company Aizip, told Fox News. “This is the first step in the path to showing that AI models can build AI models.” One of the researchers, Yubei Chen, agreed with Sun.
Sun and Chen demonstrated a human activity tracker that uses AI to collect and analyze motion data on a chip the size of a dime.
That sensor is an example of tiny machine learning, or small artificial intelligence systems that can be used in small devices or spaces. Sun believes that tiny machine learning capabilities are critical for pervasive AI—the idea that nearly any object can become intelligent.
“If we think about ChatGPT and tiny machine learning, they are on the two extremes of the spectrum of intelligence. The large models… reside in the cloud,” Chen told Fox News. “On the other hand, we are building the smallest models. They reside in things.”
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