The enduring value of mathematics and programming
As we witness the power demonstrated by AI, some might argue that, in the future, there will be no need to learn programming or math, as we can delegate any tasks to AI. However, this is far from the truth. This wave of AI revolution opens a new door to the future, but fundamentally, AI is still a program running on silicon chips, and it requires human beings to provide wisdom and knowledge.
Current AI technology has been developed based on mathematical models such as probability theory, statistics, and linear algebra, which are essential for AI algorithms. For example, the latent-based diffusion model (Stable Diffusion) is an algorithm based on neural networks, which are inspired by the structure of the human brain. The most important part of deep learning is backpropagation, which is essentially calculus. Therefore, AI cannot exist without mathematics.
In regards to programming skills, GPT and Diffusion models do not make programming...
