AlphaGo can surpass humans because for each input of the model, there is a 100% correct answer as the target label?
And humans will make mistakes in situations like 1%.
Tong Guo First, AlphaGo is not just a regular computer program; it's powered by a type of Artificial Intelligence called Machine Learning. Imagine it as a super-smart student who learns from its experiences.
When AlphaGo was trained, it played millions of games against itself and human experts. During these games, it learned from its wins and losses. The key here is that for each move it made during training, there was a 100% correct answer – the move that leads to winning the game.
Now, let's talk about humans. We are amazing beings, but we're not perfect. In situations like playing Go, we might make mistakes about 1% of the time. That tiny percentage can be a big deal when competing against a machine like AlphaGo, which doesn't make those 1% errors.
So, here's the magic: AlphaGo can consistently make the best moves because it learned from millions of games and always aims for that 100% correct answer. Humans, on the other hand, are bound to make occasional errors.
This doesn't mean humans are less intelligent or less capable; it's just that AlphaGo's training process allows it to be nearly flawless in a game like Go.
In conclusion, the power of AlphaGo lies in its ability to consistently make the best moves thanks to its rigorous training, while humans may occasionally stumble due to their inherent imperfections. It's a testament to the incredible progress we've made in the field of Artificial Intelligence.
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