The problem is now that the LLM GPS will lead you to the wrong place once a day on average, and then you still need either open the map and study where you are and figure out the route, or refine the destination address and pray it will bring you to the correct place. Such a great analogy!
Strangely this reminds me of exactly how you would navigate in parts of India before the Internet became ubiquitous.
The steps were roughly: Ask a passerby how to get where you want to go. They will usually confidently describe the steps, even if they didn't speak your language. Cheerfully thank them and proceed to follow the directions. After a block or two, ask a new passerby. Follow their directions for a while and repeat. Never follow the instructions fully. This triangulation served to naturally fill out faulty guidance and hucksters.
Never thought that would one day remind me of programming.
Indeed. My experience in India is that people are friendly and helpful and try to help you in a very convincing way, even so when they don't know the answer. Not so far off LLM user experience.
What is “your GPS” meant here. With Google Maps and Apple Maps it consistently picks the closest one (this being within minutes to both but much closer to one), which seems reasonable.
Maybe not ideal as when either of these apps will bring up a disambiguation for a super market chain or similar, but I’m not witnessing randomness.
To be clear, above i was talking about LLMs. Randomness in real GPS usage is something I have never encountered in using Google maps already since 15 years or so. 99 percent of the time it brings/brought me exactly where i want to be, even around road works or traffic jams. It seems some people have totally different experiences, so odd.
Perhaps they have improved their heuristic for this one, though perhaps it was actually Uber/Lyft that randomly picks one when given as a destination...
