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Message: <blockquote data-quote="Stalker0" data-source="post: 9771998" data-attributes="member: 5889">AI tasks tend to excel in areas where the workproduct takes a lot of effort (or requires a certain level of creativity) but can be validated quickly.For example, I can look at an AI art piece and tell very quickly that its good, decent, or garbage. But the time to create that piece could be hours or days. That is a use case where AI does well.And when I say creativity, before people jump on that word, I mean using its incredible vast knowledge base to generate answers I would never even consider. For example I recently used it to give me suggestions on software products that might be good for my team. It came up with some answers just completely outside my experience, and it was easy to go look them up in the internet and confirm they were real products that would be useful. So that's what I mean by "creative", as compared to my limited "box" it can think very outside the box.Another key aspect of AI is...it is good for small pieces rather than full projects. In software terms, you have it write a specific function, it can actually do quite well a lot of the time (and functions are relatively easy to test and bug fix). But when you have it write an entire application in one go it stumbles a lot.In writing terms, if you have the AI focus on a specific chapter, and do some editing and cleanup to make it sharp, then repeat that chapter by chapter you can churn out a decent product that was still a lot faster than writing it yourself. But AI use still takes work, the idea you can just write in a prompt and generate a novel of quality is a fallacy with the current technology.</blockquote>

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