One Trick Pony: Where Machine Learning Gets Repetitive

Where else then in the boxing sports can we grow techniques by passing the test of time and repetitive movement

This is a matter of ethics: What to think of the perfect athlete, or other talent. Michael Jackson learned a bunch of dance moves including the Moonwalk and started from a very young age as an early teenager, as has been said with strict and childhood depraving guidance of his father, who was determined to make his sons a succes as the Jackson Five. Jackson practiced for decades until perfecting his slick and tight choreography for videos like Smooth Criminal and the Bad and Dangerous tour. Was Jackson happier if he was less disciplined and spent his days slacking?

In todays techniques that teach athletes and workforces of different types including the testing and logistics novelty industries like warehousing and distribution methods there are possibilities of teaching talent to develop not a wide range of tasks or disciplines, but instead becoming really good at one particular task. Having experienced working by the conveyor belt of a croissant bakery I spent day folding the triangle of dough, trhat came from one end of the belt lined up with about five inches or ten to 1twelve centimeters between each triangle that wass to be folded in two to three staps. Machine learning has since it became a term of interest in the field of engineering originally, it hs also taught players in sports and most notably boxers how to create boxing talent with one particular move by quickly starting to perfect that one action or movement of the physique of the boxing talent. Whilst the grapevine on this subject is active there are no official ethical guidelines or rules to adhere to. The machine learning one trick pony is too new a phenomena and Ukraine leader and former kick boxing profesional is said to have criticized it in the recent past.

I believe that machine learning of very limited movements in the art of boxing and martial arts for very extended amounts of time have created speciality machines that have had educations with too much lack of diversity that must create a lull or dulness if not boredom for the athlete, they are not robots.Volodymyr Zelensky

Volodymir Zelensky