Lemma 2.1 in #165.2 of the OpenAI slop-nuke includes a clean inequality:
Suppose 𝑈₁,…,𝑈ₘ,𝑉₁,…,𝑉ₘ are subspaces of ℝᴺ such that 𝑈ᵢ∩𝑉ᵢ=0. Then we have the following inequality:
\[\sum_{i,j} \dim(U_i \cap V_j) \leq Nm^2/4\]
Seems fun, clean, and at least potentially clever. If the AI has done something toward theory building, I would expect to see several results like this. Thus the question: is this actually new (and interesting)?