Hello HN, I want to gather 100 articles about homomorphic encryption and put them together to capture the topic's neural value without pollution.<p>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.<p>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.