I just started my PhD in AI (specifically NLP). Also took a non-traditional route (creative writing major -> 10 years in industry -> phd).
It's interesting so far. Research feels very open ended compared to industry. While I was in industry (AI fintech startup), even though goals were rapidly changing, I had a good idea of what problems to work on and how to gauge progress.
In contrast, research is far more undefined. There are days I feel lost and other where I'm chasing rabbits down deep holes. It's been hard for me to figure out if the problems I'm trying to solve are worth exploring (are they good research question? and more importantly are they publishable).
But that being said, it's only about 6 months in and I feel like I'm still learning what it means to do research. I've definitely enjoyed having the space to explore problems at my own pace and think deeply about them.
It's interesting so far. Research feels very open ended compared to industry. While I was in industry (AI fintech startup), even though goals were rapidly changing, I had a good idea of what problems to work on and how to gauge progress.
In contrast, research is far more undefined. There are days I feel lost and other where I'm chasing rabbits down deep holes. It's been hard for me to figure out if the problems I'm trying to solve are worth exploring (are they good research question? and more importantly are they publishable).
But that being said, it's only about 6 months in and I feel like I'm still learning what it means to do research. I've definitely enjoyed having the space to explore problems at my own pace and think deeply about them.