Chat-gpt Issues Public Apology After Massive AI Error Goes Viral

Disclaimer: The author of this story takes no responsibility for any tears of laughter.

Andri Burkov: People who test language models on math problems would also test a hammer on how well it drives screws.

Chat-gpt, an AI language model, was recently exposed for a fundamental mistake in their basic math operations of the proximity matrix. The error was brought to light by a Rend data scientist, who was working on an educational example of proximity matrix in an agglomerative algorithm using Euclidean distance. Upon reviewing Chat-gpt’s output, the data scientist noticed that the calculation of the distance between two points was incorrect due to a math error in the formula. The mistake put the very nature of AI under question and caused a scandal in the data science community. Chat-gpt was forced to issue a public apology and outline steps to prevent similar errors from happening in the future.

In one winter day in Berlin, a Rend data scientist was working on an educational example of clustering algorithms. As he was reviewing Chat-gpt’s output, he noticed a major math error that could have far-reaching implications for the reliability and accuracy of AI models.

The Rend data scientist realized the magnitude of the error and was excited to have discovered such a scandal. He immediately shared the news with his colleagues and the broader data science community. The message read:

“It’s not surprising when we find out AI makes miss-estimations and miss-interpretations. Who doesn’t these days? However, I was just prompting for “an educational numeric example of proximity matrix ” when I got this:

The proximity matrix for the given data points A(2,3), B(3,5), C(5,4), and D(7,5) can be calculated using the Euclidean distance formula, which is given by:

d(A,B) = sqrt((xB — xA)² + (yB — yA)²)

Using this formula…