The phone isn’t going to end up in China from people passing them hand to hand; they’re going to be collected somewhere and bundled for shipping in an EM-protected covering of some sort. The record of the route they took right up until they go silent will be available for every phone. Looking at an aggregate map of this data should give the police a pretty good idea of what’s going on.
I suspect the difficulty is that the police need to get a data release from each individual involved and then get Google/Apple and/or the owners to voluntarily share the historical location data with the police… which most people aren’t willing to do out of an abundance of caution.
Spot-on.
I spend a lot of time training people how to properly review code, and the only real way to get good at it is by writing and reviewing a lot of code.
With an LLM, it trains on a lot of code, but it does no review per-se… unlike other ML systems, there’s no negative and positive feedback systems in place to improve quality.
Unfortunately, AI is now equated with LLM and diffusion models instead of machine learning in general.