事实证明，现在的情况也十分相似。和Turk一样，现代人工智能系统也是依

Facts have proved that the current situation is very similar. Like Turk, modern artificial intelligence systems rely on those who are invisible. To build a "deep learning" system, you need to show the system millions of training samples (such as pictures of animals), and then tell the system the correct output of each input (whether it is a "cat" or a "dog"). Once completed, the system can accurately identify animals in pictures that have never been seen before. However, a large number of correctly labeled samples are required throughout the process, and these must be created by humans.

The situation has proved to be very similar. Like Turk, modern artificial intelligence systems rely on those who can't see. To build a deep learning system, you need to show the system millions of training samples (such as pictures of animals) and then tell the system the correct output for each input (whether it's a "cat" or a "dog"). When completed, the system will be able to accurately identify animals in images that have never been seen before. However, a large number of correctly labeled samples are required throughout the process, which must be created by human beings.

It turns out that the situation is very similar now. Like Turk, modern AI systems rely on people who are invisible. To build a deep learning system, you need to show the system millions of training samples (such as pictures of animals), and then tell the system the correct output of each input (whether it's a cat or a dog). After completion, the system can accurately identify animals in pictures never seen before. However, a large number of samples need to be labeled correctly in the whole process, and these must be created by people.<br>