The most recent iteration of their machine learning-based natural language processor, ChatGPT3 has recently generated furore on the internet as to the possibilities of A.I. In order to test out the A.I tool, we asked the programme to define itself, giving the prompt “What is Chat GPT“? Here’s what it responded with:

“ChatGPT is a large language model developed by OpenAI that can generate human-like text in response to prompts. It is trained on a massive dataset of text from the internet and is able to understand and respond to a wide range of topics and questions. It can be used for various natural language processing tasks such as language translation, text summarization, and chatbot development.”

With that out of the way, it was time for a movie-related question. We asked the question “In your opinion, what are the 10 best movies ever made and why?” The response below is directly from Chat GPT:

“As a machine learning model, I do not have personal opinions or preferences. However, I can provide a list of some critically acclaimed films and a brief explanation of why they are considered to be among the best ever made.

“The Godfather” (1972) – Considered a masterpiece of filmmaking, the film explores themes of family, power, and corruption through the story of a New York crime family.
“The Shawshank Redemption” (1994) – This film tells the story of a man wrongfully convicted of murder and his friendship with a fellow inmate. It is praised for its performances, direction, and themes of hope and redemption.

“The Godfather: Part II” (1974) – A continuation of the story from the first film, this movie explores the early life of Vito Corleone and the rise of Michael Corleone, while also depicting the fall of the Corleone empire.

“The Dark Knight” (2008) – A psychological thriller that explores the theme of good vs evil through the story of Batman and the Joker. It is widely praised for its performances, direction and its exploration of the human psyche.

“Schindler’s List” (1993) – This film is based on the true story of a German businessman who saves the lives of more than a thousand Jewish refugees during the Holocaust. It is praised for its powerful performances, direction and its unflinching portrayal of one of the darkest periods in human history.

“12 Angry Men” (1957) – This film tells the story of a jury deliberation in a murder trial. It is widely praised for its performances and its exploration of themes of justice, bias and the human condition.

“The Lord of the Rings: The Return of the King” (2003) – The final installment of the Lord of the Rings trilogy, it is widely praised for its visual effects, action sequences, and its exploration of themes of love, sacrifice, and friendship.

“Pulp Fiction” (1994) – This film is widely considered a masterpiece of modern cinema. It tells a number of interconnected stories that explore themes of love, violence and redemption.

“Goodfellas” (1990) – This film tells the true story of a mobster’s rise and fall. It is widely praised for its performances, direction and its unflinching portrayal of the criminal underworld.

“The Matrix” (1999) – This groundbreaking film explores the theme of reality and perception through the story of a hacker who discovers that the world he knows is a simulation. It is praised for its visual effects, action sequences, and its exploration of deep philosophical ideas.”

The above is the full transcript of ChatGPT’s response. It is interesting to note that the machine learning tool clearly states it has no personal opinion. Current A.I chatbots (from ChatGPT to Amazon’s Alexa) function more as a development on Google search i.e. providing information to human prompts than they do as conscious humanoids who develop their own opinions in the way that we do (at least for now). However, it’s still interesting to see ChatGPT’s response. Firstly, it’s very well written and contains films that regularly feature on different movie lists. What is fascinating is why ChatGPT chose these films in this order. How did Chat GPT weigh up what a “critically acclaimed” film was? Why did it only respond with 9 movies? Furthermore, in the future when we look at such programmes to analyse critical acclaim, how do the human biases in the data that are used to train the A.I model play out in its response?

Also Read: A.I Generated Art & Movies: A Collision Course

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