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.
It’s a little disappointing to see that brands, as well as art and design communities, haven’t shown more recognition or support for the earthquakes in Myanmar and Thailand.
“So bullshitting isn’t just nonsense. It’s constructed in order to appear meaningful, though on closer examination, it isn’t. And bullshit isn’t the same as lying. A liar knows the truth but makes statements deliberately intended to sell people on falsehoods. bullshitters, in contrast, aren’t concerned about what’s true or not, so much as they’re trying to appear as if they know what they’re talking about. In that sense, bullshitting can be thought of as a verbal demonstration of the Dunning-Kruger effect—when people speak from a position of disproportionate confidence about their knowledge relative to what little they actually know, bullshit is often the result.”
