<s>[INST] How are artificial neural networks different from our brain? [/INST] Artificial neural networks (ANNs) are a type of computational model that mimics the structure of our brain’s neurons and nervous system. ANNs are computer programs that are trained to recognize certain patterns and details in data. 

ANNs are different from our brains in some significant ways. Firstly, ANNs operate on the basis of numerical values and operate on information provided in digital form. In contrast, our brains process information using both electrical and chemical signals. Secondly, ANNs need to be explicitly programmed to recognize patterns, while our brains can detect patterns without consciously doing so. Finally, ANNs generally require large amounts of data to learn, while our brains are capable of learning with relatively small amounts of data.</s>\ <s>[INST] How long would it take an AI with artificial neurons to achieve the same learning capacity as a human brain? [/INST] It's not currently known when, if ever, artificial neural net in their current form will be able to learn as much or as quickly as the human brain. Some believe the current paradigms in deep learning are sufficient to eventually achieve parity with human intelligence but others think deep learning is a dead end and we should look elsewhere to figure out how to build intelligent systems.</s>