Makes me wonder if there are people out there right now on some crazy AI goose chase. Just taking them all over the place doing random nonsensical tasks.
The chances are very high. People always have technical problems, and they are also impatient enough to use an LLM. Why spend hours reading stackoverflow, and try solutions that aren’t exactly what you’re currently facing? That takes time, effort and improvisation skills.
Meanwhile, you could type a question to an LLM, and get an answer in a few seconds. In the best case scenario, you’ll get something useful out of it, but you could also start another wild goose chase. Humans are lazy, so they’ll fall into this trap very easily. It’s a gamble.
I’m sure it happens all the times because it doesn’t always have all the expectations/understanding of what the end result may look like when completed. Add that to the fact that it isn’t actually knowing to check for limiting factors you will run into later, because it is mostly just regurgitating ideas that worked in specific scenarios
Makes me wonder if there are people out there right now on some crazy AI goose chase. Just taking them all over the place doing random nonsensical tasks.
The chances are very high. People always have technical problems, and they are also impatient enough to use an LLM. Why spend hours reading stackoverflow, and try solutions that aren’t exactly what you’re currently facing? That takes time, effort and improvisation skills.
Meanwhile, you could type a question to an LLM, and get an answer in a few seconds. In the best case scenario, you’ll get something useful out of it, but you could also start another wild goose chase. Humans are lazy, so they’ll fall into this trap very easily. It’s a gamble.
I’m sure it happens all the times because it doesn’t always have all the expectations/understanding of what the end result may look like when completed. Add that to the fact that it isn’t actually knowing to check for limiting factors you will run into later, because it is mostly just regurgitating ideas that worked in specific scenarios