fix: some errors in /about down, many to go

frontend/src/routes/about/index.mdx

@@ -132,8 +132,8 @@ The `keepdims=True` makes `norms` shape <Math tex="(N, 1)" /> instead of <Math
 tex="(N,)" />, which is crucial. When transposed, <Math tex="(N, 1)" /> becomes
 <Math tex="(1, N)" />, allowing the broadcasting to work for column-wise
 division. Transpose does not do anything to the shape <Math tex="(N,)" />. I
-don't know why transpose works this way, but this seems like gotcha to look out
-for.
+don't know why transpose works this way, but this seems like a nasty gotcha to
+look out for.
 
 
 ## Step 4: Clean Up the Graph
@@ -202,8 +202,8 @@ Traditional normalization <Math tex="\tilde{\mathbf{A}} = \mathbf{D}^{-1} \mathb
   - This is like a proper Markov chain transition matrix
   - Used in standard PageRank and TextRank
   - Supports **directed** graphs, a property useful for modeling web page
-    navigation (page A links to B but B does not link back to A), but we don't
-    actually need for sentence similarity where similarity of A to B is exactly
+    navigation (page A links to B but B does not link back to A). We don't
+    need this because similarity of sentence A to B is exactly
     the same value as B to A.
 
 Spectral normalization <Math tex="\tilde{\mathbf{A}} = \mathbf{D}^{-1/2} \mathbf{A} \mathbf{D}^{-1/2}" />:
@@ -223,7 +223,7 @@ Spectral normalization solves this problem. Well-connected sentences keep their
 influence proportional to connectivity. 
 
 I asked a ML engineer to explain the same idea to give you a
-Rosetta Stone to understand their jaron.
+Rosetta Stone to understand their jargon.
 
 > The traditional <Math tex="\mathbf{D}^{-1} \mathbf{A}" /> approach introduces potential node bias and lacks symmetry. Spectral normalization
 > provides a more balanced representation by symmetrizing the adjacency matrix and ensuring more uniform