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A.I. War - #2: It learns

A.I. started as a dumb machine.

It could only solve simple problems. It was basically a long list of if-then-else conditions that would spit out predefined answers at users requests. It was just there to replace repetitive jobs.

But then… something happened. In 2016, AlphaGo beated the shit out of Lee Sedol in the game of Go. Go is an ancient board game that originated in China more than 2,500 years ago. It is considered to be one of the most complex and challenging games in the world. Due to the large number of intersections on the board and the freedom to place stones anywhere, the number of possible games is estimated to be around 2 x 10^170, which is far greater than the number of atoms in the observable universe. Many have speculated that A.I. could never calculate that many number of moves.

We thought A.I. was stupid. We thought it could only do repetitive tasks. It will never be as smart as humans. But we overlooked one aspect about A.I. The one advantage that could change the outcome of the war.

Speed.

It is able to consume and process vast amounts of information at an uncanny speed. It never eats, never sleeps, never needs a toilet break. It never tires or gets bored. It learns. It is always learning and evolving. And it learns about EVERYTHING.

A.I. is being trained in a variety of fields to perform a wide range of tasks. In healthcare, for example, A.I. is being used to assist with diagnostics, drug discovery, and patient monitoring. In finance, A.I. is being used to detect fraud, predict stock prices, and automate trading. In transportation, A.I. is being used to optimize routes, improve traffic flow, and develop autonomous vehicles. In manufacturing, A.I. is being used to improve quality control, predict maintenance needs, and optimize production processes. In agriculture, A.I. is being used to optimize crop yields, monitor animal health and improve precision farming. A.I. is also being used in the field of natural language processing, computer vision, Robotics, and many other fields where it can bring its ability to process large amounts of data quickly and accurately to bear.

Do we stand a chance against A.I.?

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