Generative AI already has some clear downsides, especially its environmental cost and the way it is being pushed into so many parts of life so quickly, including areas where it probably does not belong. In many cases, there seems to be very little concern for the long-term effects, and it feels like we are in an arms race to develop the most sophisticated and efficient AI possible. It can also make people too dependent on it, replacing parts of thinking, creating, and problem-solving that should still matter. Even with those concerns, I am still excited about its potential, especially as someone going into tech. I think it would be a mistake not to learn how to use it, because AI is clearly going to remain an important part of the field. What interests me most is how it can help people learn new technologies faster and speed up development when it is used properly. Instead of spending as much time stuck on small repetitive tasks or taking too long to ramp up on unfamiliar tools, AI can help accelerate that process and let people focus more on higher-level ideas, creativity, and decision-making. That is the side of it that feels most exciting to me: not just using AI as a shortcut, but using it as a tool that can make learning and building faster and more effective when it is guided well.

<
Previous Post
Fourth Blog Post: Reflection On Privacy
>
Blog Archive
Archive of all previous blog posts