Netflix Tests AI on iOS, ChatGPT Trick Remains Accessible

Key Takeaways

1Netflix is testing an OpenAI-based recommendation AI, limited to iOS and trials in Australia and New Zealand

2No timeline has been announced for France

3Users can export their Netflix history as a .csv file and use it with ChatGPT for personalized recommendations

Why it matters : This tip allows users to get suggestions tailored to their tastes without waiting for the official tool to be rolled out.

Netflix is evaluating a new choice assistance feature based on OpenAI technologies, currently limited to iOS and testing in Australia and New Zealand. While there is no timeline for France, subscribers can already leverage their Netflix viewing history in .csv format in ChatGPT for recommendations tailored to their tastes.

A choice assistance feature tested by Netflix, limited to iOS and two countries

Netflix is testing an artificial intelligence feature based on OpenAI technologies to help users find content to watch. This integrated AI is currently being experimented with on iOS among select users in Australia and New Zealand. No information has been provided regarding potential availability in France.

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Exporting the history in .csv and submitting it to ChatGPT

Netflix maintains a history of each account's activity, which is accessible and downloadable in .csv format. To obtain this file, users need to log into their account on a computer, navigate to the history page, and click on "Download all" at the bottom of the list. Once the file is retrieved, it can be attached to a request in ChatGPT so that the AI takes into account actual viewing preferences to provide recommendations.

Specific requests, from desired volume to program tone

ChatGPT can analyze the Netflix history file and tailor its suggestions based on viewing habits. For example, users can request a list of 15 movies and 15 series that match the tastes inferred from their history, or specify criteria such as looking for light and relaxing content. This method can be used while waiting for the rollout of an official solution.

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