Generative AI has since it introduction with the first chatGPT and the early image generation tools always peaked my interest, these first few public tools were, tbh, not great. Early AI chat tools like chatGPT suffered from severe hallucinations where they pretty much just filled in whatever agreed with your prompt no matter how ridicoulous. And for the image generators your imagination as to interpret the generated image was doing more work than the AI.
However, since then genAI has come a long way to the point I use it frequently and even for some university assignments, since more and more courses have adopted an open-minded approach to the use of genAI tools. The new spaces where AI has been introduced are also especially helpfull, for example in coding. Using Cursor AI which is a program build on visual studio offering a similar experience but with AI tools weaved troughout the user experience, I managed to create a very decent prototype of a note taking app that I wanted to use on my laptop. Altough the initial output came together in a couple of minutes the outcome was less usefull than I imagined so I scrapped the idea.
Another field which has been quick to adopt AI is the image editing software Photoshop. As a hobby I will make phone backgrounds or online profiles to share or sell online, AI tools in photoshop have become a life-saver to quickly edit images, remove items from them or easily add in new items. In Photoshop these AI tools really take alot of the cumbersome repetitive clone-stamping out of the picture allowing users like me to focus on the more fun part of creating.
I’m excited about the future of genAI since it’s already been progressing so rapidly, in the last couple of years it has transformed from a gimmick to a technology worth taking a second look at.
