user: List down some key points about the song "El Rey" from the given text

assistant: <think>
"El Rey" ("The King") is a 1971 song by Mexican singer José Alfredo Jiménez. It is one of his best known songs and a Latin Grammy Hall of Fame recipient. The song is about "a macho guy convinced his rough-and-tumble life doesn't preclude him from remaining the king among his peers".

A chart published by Record World credited "El Rey" as reaching number one in Mexico in 1974, a year after Jiménez's death.</think>
1. José Alfredo Jiménez, a singer from Mexico, released the song "El Rey" ("The King") in 1971.
2. It is one of his most well-known songs and was inducted into the Latin Grammy Hall of Fame.
3. The song is about "a macho guy convinced that his tough life doesn't stop him from remaining the king among his peers."
4. In 1974, a year after Jiménez's passing, "El Rey" was credited with topping a Record World list in Mexico.

user: Please give me  the potential implications of overfitting described in the following text

assistant: <think>
Consequences

The most obvious consequence of overfitting is poor performance on the validation dataset. Other negative consequences include:

A function that is overfitted is likely to request more information about each item in the validation dataset than does the optimal function; gathering this additional unneeded data can be expensive or error-prone, especially if each individual piece of information must be gathered by human observation and manual data-entry.

A more complex, overfitted function is likely to be less portable than a simple one. At one extreme, a one-variable linear regression is so portable that, if necessary, it could even be done by hand. At the other extreme are models that can be reproduced only by exactly duplicating the original modeler's entire setup, making reuse or scientific reproduction difficult.

It may be possible to reconstruct details of individual training instances from an overfitted machine learning model's training set. This may be undesirable if, for example, the training data includes sensitive personally identifiable information (PII). This phenomenon also presents problems in the area of artificial intelligence and copyright, with the developers of some generative deep learning models such as Stable Diffusion and GitHub Copilot being sued for copyright infringement because these models have been found to be capable of reproducing certain copyrighted items from their training data.</think>
The potential implications of overfitting are:
- poor performance of the validation set.
- a function that is overfitted is likely to request more information about each item in the validation dataset.
- A overfitted function is likely to be less portable than a simple one.
- it may be possible to reconstruct details of individual training instances from an overfitted machine learning model's  training set.

user: Who is John D. Rockefeller?

assistant: John Davison Rockefeller Sr. (July 8, 1839 – May 23, 1937) was an American business magnate and philanthropist. He has been widely considered the wealthiest American of all time and the richest person in modern history. Rockefeller was born into a large family in Upstate New York that moved several times before eventually settling in Cleveland. He became an assistant bookkeeper at age 16 and went into several business partnerships beginning at age 20, concentrating his business on oil refining. Rockefeller founded the Standard Oil Company in 1870. He ran it until 1897 and remained its largest shareholder.

Rockefeller's wealth soared as kerosene and gasoline grew in importance, and he became the richest person in the country, controlling 90% of all oil in the United States at his peak. Oil was used throughout the country as a light source until the introduction of electricity, and as a fuel after the invention of the automobile. Furthermore, Rockefeller gained enormous influence over the railroad industry which transported his oil around the country. Standard Oil was the first great business trust in the United States. Rockefeller revolutionized the petroleum industry and, through corporate and technological innovations, was instrumental in both widely disseminating and drastically reducing the production cost of oil. His company and business practices came under criticism, particularly in the writings of author Ida Tarbell.