Computers are great at following precise instructions, and they do so with incredible speed and accuracy, but the real world is messy, bumpy, and infinitely variable, which means there are many tasks that cannot be described to a computer with precise instructions, such as understanding speech (we all speak with different voices) or recognizing objects (each cat looks very different from different angles).
The reason we're talking about AI now is because it has finally learned to have plausible conversations.
artificial intelligence (More specifically, we Machine Learning) represents a way to teach a computer to do things that we cannot describe precisely. We do this by giving it a huge number of examples of what we want it to do. neural network Over time, it “learns” how to do that one thing very well. For example, you might not know how to tell a computer to drive a car, but you can teach it if you show it enough examples of objects on the road and how to behave around them.
The reason we're talking about AI now is because it has finally learned to have plausible conversations.
Chat GPT It's the fastest growing application in human history, so it's no surprise: it can converse and has human-like pronunciation. Generative AIgenerates new compelling material based on text prompts, including images, music, video, and of course text.
But while the output looks convincing, as if it was generated by a human-like brain, it’s important to remember that these AI systems have no consciousness — they’re really just highly advanced predictive text programs.
There are some valid concerns about artificial intelligence. But this is not The Terminator. We shouldn't worry about creating sentient artificial lifeforms that might try to destroy us. Rather, we should understand how and why these computer programs work as we integrate them more into society.
