I recently switched subfields, and my PI asked me for a quick rundown of where things have been heading over the last 5 years or so. It sounded pretty easy in theory. I went to Google Scholar, set the date range, and started downloading papers. A few hours later, I had a folder with around 80 PDFs and honestly no idea what the bigger trends were. It feels like everyone is making small changes to slightly different datasets. I can usually understand individual papers, but figuring out how they connect is the hard part. Who built on whose work? Which ideas actually became important? Which approaches quietly disappeared? I tried making a spreadsheet to track methods and key findings, but after a while it started feeling like I was just doing data entry instead of actually understanding the field.Earlier today, I tried putting some of the papers into Mira from Deep Principle to help organize the literature and see if there were any patterns I was missing. It gave me a pretty useful overview of the main research directions and helped me compare different approaches, which saved some time. That said, I still feel like I’m missing the intuition you only get after spending years in a field. submitted by /u/LumilitawNaMangga
Originally posted by u/LumilitawNaMangga on r/ArtificialInteligence