ChatGPT reveals terrifying impact: when robots dominate sports arena

Recently, it seems that everyone is discussing the latest AI project ChatGPT, with reactions ranging from excitement to fear. In fact, ChatGPT has become such a cultural phenomenon that its website is currently overloaded and cannot even be accessed at all times. The entire user experience is like calling a customer service hotline. The other party will leave your phone number first and will send a text message notification when an available seat is available.

At the same time, AI technology is already affecting various industries, especially the sports industry, which has a profound and even subversive impact. The reason is simple: prediction of results is of great importance in sports, and real-time decisions based on them can often turn the tide of the battle. This kind of forecasting idea based on data analysis is not new. The Oakland Athletics and their general manager Billy Beane can mobilize a total salary of only $44 million, but they rely on mathematical calculations to calculate the total salary as high as $1.25. Top teams such as the $100 million Yankees had a back-and-forth game. The film "Moneyball" starring Brad Pitt is based on this.

The theoretical basis of "Moneyball" is statistical analysis, such as slugging rate and on-base rate. Bean believes that this method of forecasting is more stable and reliable than traditional business intuition. At the time, Oakland Athletics owner Lew Wolff made a big bet and decided to give Beane a chance before his theory was fully tested. Wolff admitted, "At the time, people thought I was completely crazy for letting Beane rely on statistics instead of baseball experts to make judgments."

To this day, all major sports leagues AI has been introduced into its own operation system, especially at all levels of fan participation.

The NFL uses the power of Amazon to collect AI insights. They launched an AI tool that contains 7 sets of AI models, which can be used to predict the value of this decision before passing the ball, and then evaluate the quarterback's passing performance. The NBA has also integrated AI into participation tools to help fans conduct in-depth analysis of team performance from almost every angle imaginable.

Although ChatGPT does not yet involve predictive analysis, its powerful performance has proven that AI can output high-quality decisions by collecting large amounts of data. These decisions can be closely related to the players and the progress of the game, while giving support and influence to important people such as scouts, coaches and club managers who may influence the outcome of the game.

Whether it is necessary to make a substitution, start the game at the beginning, or come on in the middle and late stages, these traditional problems on the field will be solved under the analysis of AI.

In a baseball game, the most important decision is undoubtedly when to substitute and when to choose to substitute. The same issues with substitute selection and playing time also arise in basketball and football. Each phase of the game is different, and each game generates tons of statistics. With the power of AI, we can examine millions of data points in real time, and the conclusions drawn from this are naturally much more reliable than Beane's crude prediction based on hard hit rate and base percentage alone. In this way, whether and when an athlete will start, and even the expected performance and injury probability of the entire career will become an indicator that AI can predict.

But this development trend is indeed a bit daunting. A good example is the Lakers, who are struggling to find the right partner for LeBron James. With advanced AI, teams no longer need to rely on scouting reports or pure intuition. The data will directly give the candidate with the best fit. From this point of view, professional managers and scouts may be eliminated by machine learning.

The coach may not be spared either. Predictive analysis will indicate when the team needs to make substitutions and what is the current optimal confrontation strategy. Imagine a robot coach quickly charting the data and essentially understanding the entire process before the game is over. But can AI get along harmoniously with a superstar like James? If athletes and robots have different ideas, how should the competition proceed?

There are always people who feel that the comprehensive popularization of AI will definitely create a dystopian world. I don't think so, after all, it's all just speculation. James, what do you think about this?

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