www.thefabricator.com: The good news is that small and medium-sized metal fabricating companies don’t have exact timetables to deploy these AI technologies. The goal should be continuous improvement, just as it has been for years, and AI is another tool that can make that happen.
A shop can focus on an area where any type of improvement makes sense. Start small and see how the exercise goes.
3 comments:
Even though this article encourages the use of AI in manufacturing shops, it still highlights some major shortcomings of AI that should be discussed more in the larger debate of AI itself. I do not believe that there is a practical purpose for generative AI, but the type of AI described in this article is analytical AI, which pulls from documents to calculate data faster. Specifically, this article handles the critique of the “jump on the AI train NOW!” argument, because it acknowledges that analytical AI is never perfect on the first try. AI hallucinates and needs to be run in a test environment before it can be fully implemented into a real-life scenario, and this process takes a considerably large amount of time. While AI can eventually make the process of analyzing data faster, it takes time to actually create accurate data worth having. This is why AI is known for extreme error in the real world, because people see it as this “miracle tool” and bring it into real world situations where it will continuously make mistakes and never fix itself. AI is not as fast as people market it as, and this aspect of AI is never talked about enough when discussing the ramifications of AI usage as a whole. There really is no quick shortcut to the correct answer, even with a tool that is designed to be the quick shortcut.
The thing about AI fatigue they are talking about holds a lot of points. But what I keep thinking about is a bit different. As an English as a second language learner, most of how I picked up written English was just from reading things online. So what if I am reading AI text so much that I start picking up their speech pattern, and eventually what I write will sound more AI generated, but it is actually things that I wrote myself. I have also been reading about big AI companies putting word patterns into generated text that humans cannot see but detectors can, which makes me wonder about people whose writing just happens to look like that. And it is not only me. Kids nowadays, whatever they read online is more and more AI generated, and that is what they are learning from. However, about new technologies like this, I do not want to just say “screw AI,” because undoubtedly AI will be a huge part of what future tech becomes. Instead of being against it, I think trying to embrace it and cope with it is a better mindset.
I think this sentiment is super accurate as this is somewhat how I’ve been feeling. There is so much AI everywhere all the time now that I am both getting more and more used to it, but also I am starting to experience the fatigue of it. That I am constantly being prompted for information, constantly aware of what I’m sharing or what I'm reading, and constantly aware that AI might have made what I’m looking at and its validity might be false or completely fabricated. I think this kind of sentiment will continue to spread through the general public. How fast that happens will depend on a lot of different factors, however I think more and more people will move towards live things and actual interactions. I also realize that AI will continue to enter different work forces whether we want it to or not. However, there will be a lot of different things and approaches to the issues of implementation and deployment. Throughout all of this, we have to recognize how we can stay independent from AI as a worker and creative.
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