With global publications closely monitoring developments in OpenAI’s ChatGPT release, we’ve seen some interesting questions raised. For example, can the software be used to create content? Can students use it to cheat when submitting essays? So far, the answer seems to be possible.

However, since we’re focusing on streaming services and entertainment, we’ve asked a question that’s yet to be answered. In other words, can ChatGPT change the way we rate shows? For an answer, we consulted Eugene Giodenko, CTO of supportyourapp.comand researched this new AI-powered app extensively.

Could ChatGPT impact how we rate shows?

Eugene warns that it is still too early to make a firm decision. However, he can see the potential. For example, someone could develop an app to accurately rate TV shows based on the ChatGPT app.

It is possible to experiment with this in a modest way by using the appropriate prompts. To test, we typed in the “Highest Rated TV Shows of 2021” prompt. ChatGPT came up with this response:

“I’m sorry, but I don’t have access to current information and my knowledge has been cut in 2021. I can recommend some popular TV shows that have been well-regarded in 2021, but I cannot provide a list of them. top-rated shows that year. Here are some popular TV shows airing in 2021:

  • “The Mandalorian”
  • “Stranger Things”
  • “Game of Thrones”
  • ” The crown “
  • “The Handmaid’s Tale”
  • “Westworld”
  • “The Marvelous Mrs. Maisel”
  • “Ozarks”
  • “The Umbrella Academy”

These shows were critically acclaimed and popular with audiences. You might like to check them out if you are looking for high quality TV shows to watch.

It’s a well-considered answer that could pass for human. So if you create a clear enough prompt and provide ChatGPT with relevant information, it may influence how we rate TV shows. We can even use AI to generate reviews or ratings in the current format.

There is more potential

However, for our purposes, it is AI’s potential to examine large amounts of information that is most promising. You can use the model to gather information from various sources across multiple platforms. For example, you can pull data from:

  • Traditional review sites like IMDB and Rotten Tomatoes
  • Consumer sites like Amazon
  • Social media like TikTok and Instagram

Related : How to quickly get back the old look of Gmail

Aggregating all this information without AI would be a lot of work. So instead, the AI ​​could process that by searching for keywords in minutes.

The AI ​​also has the ability to extrapolate what consumers might think of a particular show based on available reviews. The system can then create useful reviews of shows with very few online ratings.

This might come in handy for getting recognition for smaller shows or movies. It could also explain the minor cult classics receiving less widespread reception.

Conclusion: will this replace traditional methods?

This is unlikely to be the case. As we discuss this model right now, human reviewers play a vital role in training the AI ​​on what to look for and how to rate movies. However, AI cannot understand the depth of human emotion that we associate with watching movies.

Additionally, there is a potential negative impact to consider here. Although a scientific discussion of this is interesting, the real-world application is problematic. With the AI ​​generating reviews, it’s possible to skew the results in favor of certain movies. The issue of operator bias would always creep into the equation.

Overall, people may have less confidence in reviews because they understand they are not impartial. The AI ​​could, for example, give a movie a high rating based on its length rather than its content. Right now, we need to work on improving the app before continuing with this discussion.

Previous articleMake Chrome browser use less memory on Windows; comes with a price though!
Next articleWhat is the 408 Request Timeout error and how do I fix it?


Please enter your comment!
Please enter your name here