Algorithms tuned by an average engineer can outperform those built by the world’s leading experts if the average engineer has access to far more data. - Kai-Fu Lee

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Algorithms tuned by an average engineer can outperform those built by the world’s leading experts if the average engineer has access to far more data.

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Robotics, however, is much more difficult. It requires a delicate interplay of mechanical engineering, perception AI, and fine-motor manipulation. These are all solvable problems, but not at nearly the speed at which pure software is being built to handle white-collar cognitive tasks. Once that robot is built, it must also be tested, sold, shipped, installed, and maintained on-site. Adjustments to the robot’s underlying algorithms can sometimes be made remotely, but any mechanical hiccups require hands-on work with the machine. All these frictions will slow down the pace of robotic automation.

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Over the years, I have learned that if each country could understand the other’s history, culture, and viewpoint, and accept that there are some issues that the two countries will “agree to disagree”, there would be tremendous progress. I have come to really like the wise Chinese proverb “yi zhong qiu tong,” which means seeking common ground while accepting differences. This is precisely the mindset that both countries need.

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