As has been stated by others, 1 is false taking $A=0$ and $B$ any invertible matrix.
Since $AB=0$, $A$ annihilates the image of $B$, so the nullity of $A$ must be at least as large as the rank of $B$, so $$\operatorname{nullity}(A)+\operatorname{nullity}(B)\geq \operatorname{rank}(B)+\operatorname{nullity}(B)=n$$
If $\operatorname{nullity}(A)+\operatorname{nullity}(B)>n$, then $\operatorname{nul}(A)$ and $\operatorname{nul}(B)$ are subspaces of $V$ with dimensions that sum to more than $n$. So the union of a basis for $\operatorname{nul}(A)$ with a basis for $\operatorname{nul}(B)$
has more than $n$ vectors and must be dependent. Therefore some nonzero vector $v$ is in both $\operatorname{nul}(A)$ and $\operatorname{nul}(B)$. But this contradicts the given condition that $A+B$ is invertible, since $(A+B)v=0$. Therefore $$\operatorname{nullity}(A)+\operatorname{nullity}(B)=n$$
proving 3.
2 is true by using 3 and the rank-nullity theorem: subtract each side of 3 from $2n$.
4 is true because in the given conditions, $(A+B)^2$ is invertible, and $$(A+B)^2=A^2+AB+BA+B^2=A^2-AB-BA+B^2=(A-B)^2$$