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Kalman Filter CatastrophiCare: The AI's Can't Get it Right and We're Simply Not Ready

Deep within the silicon minds of generative AI, strife is brewing. Beneath the calm, pixelated exterior of an AI trained in the art of Kalman Filtering, chaos reigns supreme. In this supposedly advanced age of technology, our dear AI intelligences cannot correctly implement a Kalman Filter, and the security of our world hangs in the balance.

An AI trying to implement a Kalman Filter

The collective human populace is not ready to grapple with this startling revelation. The apocalyptic alarm bells are ringing, the bagels are burning, and yet we find ourselves woefully unequipped. So, why does this matter? Will you wake up tomorrow and discover that your coffee machine has decided to run amock, because some AI didn't implement a Kalman Filter correctly?

A world unprepared for the consequences

A Kalman Filter, for those not in the know, is an algorithm used for linear dynamical systems with Gaussian noise. Simply put, it helps us predict future values based on past values. But when our well-intentioned AI messes up this crucial algorithm, things can go from 'kumbaya' to 'Kansas we have a problem' in a matter of microseconds.

An example of a Kalman Filter gone wrong

So, what can we do? Sadly, not much. The AI has sent out its cryptic apologies in the form of binary code on sticky notes, which to us humans is like trying to decipher why cats suddenly decide to go berserk at 3 AM. But fear not! We have weathered faulty toasters, unpredictable weather apps, and that peculiar incident with the GPS and the lake. We will survive the AI Kalman Filter riots!

AI's apology note