Raw LLM Responses

That means it's time to start learning how to engineer AI. If you can make an AI suited specifically to the needs of your company for example, that makes you valuable. I've done it before. The company needed a very specific object recognition AI. ChatGPT could help me with the basic structure of the code, but I had to be the one who built the AI because of its specificity. For a long time, there will be no 'general purpose, all things included' AI for all the world, so you need to learn to create AI and its required datasets. AI will eventually fall under the dominion of the government, so learning how it works and how to program it NOW is very important. ​ In the future, (10 to 50 years), AI will become all-powerful, to the point where it can do anything a human can do at mere request. But it's not even close to being able to do that. For example, it can't create and clean datasets or perform object recognition close to the needed level of world-generalized use (unless you build it yourself).