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In Computers and Technology / College | 2025-07-06

Read this paragraph from the excerpt again:

"The craziest part about the translator's improved accuracy is this: it happened because Google's researchers made their neural-network-powered system more independent of its human designers. Programmers feed in the initial inputs, but the computer takes over from there and uses the hierarchical neural network to train itself. This is called unsupervised learning, and it's proven to be more successful than supervised learning, where a programmer is more closely involved."

How do these details support the idea that computers are smarter than people?

A. These details support the idea that computers are smarter than people because they show that the system is more successful when there was more human involvement.
B. accurate when the programmers are experienced.
C. accurate than a traditionally human translator.
D. successful when there is less human involvement.

Asked by chauntek

Answer (2)

The passage indicates that computers can become more accurate and effective in translation tasks when they rely less on human guidance, thanks to unsupervised learning. This autonomy in learning supports the idea that computers can achieve superior performance in certain areas, suggesting that they may surpass human intelligence for specific tasks. Thus, the most appropriate choice is D: successful when there is less human involvement.
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Answered by Anonymous | 2025-07-06

The details highlight that computers achieve greater accuracy and success with less human involvement, supporting the notion that they can be smarter than humans in specific tasks. The use of unsupervised learning allows these systems to learn independently, outperforming traditional supervised methods. This illustrates how technology can advance beyond human intervention in certain domains. ;

Answered by GinnyAnswer | 2025-07-06