AI engineers… how do you keep up with everything happening so fast?

I’m a CS student really into Computer Vision, but every day there’s something new, and it’s overwhelming. Sometimes I start doubting myself. Is it still possible for new grads to get jobs in this field? Every time I reach a milestone, I realize there’s so much more ahead…

Welcome to this forum

Pick a few core skills—Python, math, data structures—and build on those. Trends come and go, but the basics don’t change. You never know, one day you might be the one setting the next trend.The industry keeps moving, which is what makes it exciting. Focus on what you enjoy, and the rest will come. And yes, there are still jobs. Side projects are a great way to learn and build a portfolio.

Staying on top of every new paper is something senior architects do. If you’re just starting, focus on solid programming, ML fundamentals, and communication. That’s what gets your foot in the door.

Forget the hype… focus on what’s actually useful.

I signed up for the TLDR AI newsletter—it gives a quick daily update on industry news, academic papers, and new repos. There are probably better ones, but this works for me.I also follow AI-related forums and subforums. I write about what I work on and even built a program to scrape my own posts and generate ideas for new projects. Then I expand those ideas with my own input and some AI-generated suggestions.It’s an ongoing loop—I stay up to date by constantly working on projects, writing about them, and learning as I go. This helps me meet other people in the field, which has been really valuable.

Most people don’t need the latest trend… they need solid skills that last.Linear regression has been around for over a century and is still widely used. Decision trees have been a staple for decades. Transformers didn’t make older methods useless—if you understand recurrent and convolutional neural nets, you can pick them up fast.The real skill is knowing which trends matter and which don’t. I try different tools, but I only go deep if something really stands out. Most of the time, I stick to what works, sometimes I find something worth saving for later, and once in a while, I find something truly useful.