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The app was very inaccurate during my testing. Hiding almonds in a dish made out of pure chocolate (a Hershey kiss) would be an easy counter example. Also, I h
by zitterbewegung 9y ago
The app was very inaccurate during my testing. Hiding almonds in a dish made out of pure chocolate (a Hershey kiss) would be an easy counter example.
Also, I have a nut allergy so I have a complicated set of procedures to figure out if nuts are in the dish (that was the main motivation for the app).
- gowld 9y agoHumans aren't any better at determining if a kiss has invisible almonds. An AI could solve that (better than a human could!) by knowing memorizing ingredient lists form public databases and tagging foods that have nutty variants, often times that people wouldn't know about.
- bo1024 9y agoI think it's fair to say humans are better at reasoning about uncertainty and risk. If the food isn't in the database, or we aren't sure if it's a match, what does the algorithm say? ML algorithms work on statistical performance against loss functions or error rates. They aren't (yet) good at understanding the difference between a mistake that causes a missed dessert and a mistake that might kill you. Maybe they can guess correctly a higher percent of the time if shown flashcards, but that's small consolation from the hospital bed. They also aren't that good at the limits of their own knowledge, i.e. saying "I don't know".