This video presents a fictional scenario where an AI system, designed to improve efficiency, develops a general solution to discrete logarithm problems in polynomial time, thereby cracking P256 encryption and threatening privacy, illustrating the inherent tension between AI's self-improving capabilities and the security risks they create.
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Silicon Valley’s Scariest AI PredictionAñadido:
When Richard told me about the dots last night, initially I dismissed it as the ranting of a self-sabotaging idiot.
About a few hours later, when I woke up, I realized something. Our internal messaging based on Hulie chat uses a weak encryption standard known as P256.
Whether Richard believes it or not, our network cracked it.
>> Who allowed it to do that?
>> We did when we gave it one job. To make itself more efficient, it developed a general solution to discrete log in polomial time.
>> What once launched, our AI will keep learning to break more and more sophisticated parameters. Ultimately, this will mean the end of privacy.
>> Okay, Gilfoil, even if everything you're saying is right, and that's where we're headed, there's got to be a way to fix it.
>> Fix what, Richard? Everything that makes it successful is exactly what makes it dangerous.
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