Helping the blind see? Sounds amazing, though we’re in awkwardly early days:

However, in turn, BlindTool can be wrong. A lot. Walking around my apartment, it called my Christmas tree a feather boa, an ornament a bubble, a door an armoire. Sometimes the results were close, sometimes they were absurdly off. And that’s because the neural net was trained on what Cohen calls an “almost randomly chosen” collection of images—a hodgepodge of opensource work that’s not necessarily catered to the things you or any person would most commonly want identified in their home, commute, or place of work.

[YouTube]