Scientists have made a breakthrough in creating a pocket-sized AI brain, thanks to the help of monkey neurons. Researchers were able to shrink an AI vision model to a tiny fraction of its original size, using data from macaque monkeys. This achievement hints at how living brains can do so much with so little power, and it could have significant implications for the future of artificial intelligence. The model, which mimics a part of the brain's visual system, started with 60 million variables but was compressed to just 10,000 variables, performing nearly as well. This compact model also appears to work more like a living brain, which could help scientists study diseases like Alzheimer's. If this AI model truly replicates strategies found in nature, it could help scientists understand the inner workings of human brains. Compact, biology-inspired models of the brain could also lead to more powerful and humanlike artificial intelligence. However, AI systems need to do more than just shrink in order to perform as well as a human brain. They also need to be able to recognize faces and objects in any setting and from many angles, even if they change appearance. This may require updating the foundations of artificial networks, as our understanding of the brain has evolved since the 20th century. This research is a significant step forward in the field of artificial intelligence, and it raises intriguing questions about the future of AI and its potential to match the capabilities of the human brain.
