A DOOM calculator can predict when you will DIE using four pieces of data, according to a new study.
The algorithm, called Life2vec, boasts 78 per cent accuracy putting it on par with similar models developed to predict life outcomes.
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Unlike other models though, Life2vec functions as a chatbot, similar to ChatGPT.
It was created by scientists in Denmark and the US, who fed it a a registry of data of six million Danish citizens from 2008 to 2020.
In comparison to ChatGPT, this AI uses information including income, profession, place of residence, injuries and pregnancy history.
The team – which has not yet made the calculator available to the general public – tested Life2vec on a group of people aged between 35 and 65, half of whom died between 2016 and 2020.
They found that its predictions were 11 per cent more accurate than that of any other existing AI model.
“What’s exciting is to consider human life as a long sequence of events, similar to how a sentence in a language consists of a series of words,” study first author Sune Lehman from DTU said.
“This is usually the type of task for which transformer models in AI are used, but in our experiments, we use them to analyze what we call life sequences, i.e., events that have happened in human life.”
She continued: “Clearly, our model should not be used by an insurance company, because the whole idea of insurance is that, by sharing the lack of knowledge of who is going to be the unlucky person struck by some incident, or death, or losing your backpack, we can kind of share this this burden.
“They’re likely being used on us already by big tech companies that have tonnes of data about us, and they’re using it to make predictions about us.”
The research appeared in Nature Computational Science.
It comes after a study suggested walking slowly could mean you’re more at risk of an early death.
Meanwhile there is a simple test you can do at home to predict if you’re at risk of dying young.
A new blood test could also predict if you will die in the next decade with more than 80 per cent accuracy.