this post was submitted on 14 Feb 2025
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Technology
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The way AI is trained today creates a black box solution, the author says only the developers of the model know what goes on inside the black box.
This is major pain point in AI, where we are trying to understand it so we can make it better and more reliable. The author mentions that unless AI companies open source their work, it's impossible for everyone else to 'debug' the circuit.
Zero knowledge proofs are how they are trying to combat this, using mathematical algorithms they are trying to verify the output of an AI model in real time, without having to know the underlying intellectual property.
This could be used to train AI further and increase the reliability of AI drastically, so it could be used to make more important decisions and adhere much more easily to the strategies for which they are deployed.
Thanks for the 'for dummies' explanation.