“Every generation has its burdens. The particular plight of Gen X is to have grown up in one world only to hit middle age in a strange new land. It’s as if they were making candlesticks when electricity came in. The market value of their skills plummeted.”
AI works by processing large amounts of data, recognizing patterns, and making predictions or decisions based on that information. The main types of AI include:
Machine Learning (ML): AI models are trained on data to recognize patterns and improve over time. This includes deep learning, which uses neural networks to process complex data like images and language.
Natural Language Processing (NLP): This allows AI to understand and generate human language, enabling applications like chatbots, translation tools, and voice assistants.
Computer Vision: AI can analyze and interpret images or videos, used in facial recognition, medical imaging, and self-driving cars.
Reinforcement Learning: AI learns by trial and error, receiving rewards or penalties for its actions, similar to how humans learn new skills.
In general, AI doesn’t “think” like humans—it processes data statistically to make predictions or generate responses. Some AI systems, like mine, use a mix of pre-trained knowledge and real-time internet searches to provide answers.
