Geolocation Memes

Product manager walks in with a "simple" feature request: check if a user's photo is taken in a national park. Sounds reasonable, right? Just a quick GIS lookup. Oh, and while you're at it, detect if the photo contains a bird. No biggie, just need a research team and half a decade. The brutal truth here is that non-technical folks genuinely can't tell the difference between "fetch data from an API" and "solve one of computer science's hardest problems." Sure, geolocation is straightforward. Bird detection? That's computer vision, machine learning models, training datasets, edge cases (is a chicken a bird? what about a plane?), and enough complexity to make you question your career choices. Twelve years later, we've got ML models that can actually do this. But back then? You'd be training neural networks from scratch while your PM wondered why it's taking longer than adding a button. The gap between "easy" and "virtually impossible" is where developer sanity goes to die.