Sorting Out My Question Before I Ask AI (Bite-size Article)
Introduction It's been a few years now since generative AI worked its way into everyday life. AI has made life more convenient for a lot of people, but at the same time, I've been seeing more and more talk about its downsides. The one I come across most often lately is the idea that using AI has a negative effect on how well you retain and understand things. For example, something like this: you…
In recent years, generative AI has become a part of our daily lives, making tasks more convenient for many individuals. However, there's been growing concern about the negative impact AI can have on retaining and understanding information. When comparing those who use AI to solve problems versus those who do it manually, research often shows the AI group remembers less after some time has passed. This personal experience reflects that sentiment.
It feels like I rely on AI too much, handing over tasks that I used to tackle on my own. As a result, I find that I retain less and learn less when I allow AI to do the heavy lifting. I build things up less, relying on AI to lay the groundwork for my ideas and work. The question arises: is AI entirely to blame, or is it a matter of how we use it and approach it?
The issue stems from what we provide to AI, such as idea generation. By handing over the initial idea to AI, the output often feels detached and thin, lacking the personal touch and satisfaction. Conversely, AI excels at smoothing rough edges and identifying gaps or typos in work that already has a rough shape. The boundary between these two approaches can become blurred over time, especially when tired or unwilling to think deeply.
When I'm in a hurry and want to take the easy way out, the results often fall short of what I had in mind. The problem lies within my own expectations, not AI's capabilities. I tend to be dissatisfied with AI's output, as it's usually vague or off the mark. I've learned to question my own phrasing and information needs to ensure I'm asking the right questions. When I put myself in AI's position and realize there's no way to answer a vague query, I understand the limitations better.
When working with AI and achieving good results, I've found that I've been putting in a significant amount of thought myself. Providing clear instructions and thinking through the desired outcome allows AI to help further. On the other hand, when I've been stuck in brainstorming without clarity, my thinking often falters. I throw out ideas without being specific about what I want, hoping for the best, which leads to dissatisfaction and a cycle of repeating the same mistakes.
In essence, relying on AI with the expectation that it will save effort may not be the most effective approach. It's possible that you end up doing the work yourself later and losing more time. However, if you actively think first, it feels faster and more satisfying. The conclusion is that AI is a powerful tool, but it has its limitations. Before asking AI, I should clarify what I want to achieve, as it cannot fill a vague or undefined space.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
