Hello HN, I want to gather 100 articles about homomorphic encryption and put them together to capture the topic's neural value without pollution.
By xor, I'm looking for an operation that finds the intersection set of their representation and cancels out pollutive elements that are not in all articles.
I want to capture the essence of a topic and shed all other neuron values so that when I can use this neural essence in combination with another one like snarkiness to get a set of articles that are close to e_Essence('homomorphic encryption') + e_Essence('Snarky Tone') to get snarky articles about homomorphic encryption.
