Generally when AI gets good on a specific task, it doesn't stop. What's more common though is that even though it gets good on that task, it may not translate

Generally when AI gets good on a specific task, it doesn't stop. What's more common though is that even though it gets good on that task, it may not translate to practical real world application. The best example I can think of is object detection vs self driving: lot of people though that the improvements in object detection on images will easily translate to great self driving, and here we are, still with cars not stopping when a car is blinking in front of it.