[step:Reduce to the normal form $F = X_0 X_2 - X_1^2$ via diagonalisation of quadratic forms]Since $\operatorname{char} k \neq 2$, there is a bijection between homogeneous quadratic forms $F \in k[X_0, X_1, X_2]$ of degree $2$ and symmetric bilinear forms $B_F: k^3 \times k^3 \to k$, given by polarisation:
\begin{align*}
B_F(v, w) := \tfrac{1}{2}\bigl(F(v + w) - F(v) - F(w)\bigr).
\end{align*}
Equivalently, $F(v) = B_F(v, v)$, and $F$ is encoded by a symmetric matrix $M_F \in \operatorname{Sym}_3(k)$ via $F(v) = v^\top M_F\, v$.
We claim $M_F$ is invertible. Suppose for contradiction that $\det M_F = 0$. Then $M_F$ has a non-trivial kernel: there exists $0 \neq v_0 \in k^3$ with $M_F v_0 = 0$. By a linear change of coordinates, we may assume $v_0 = (1, 0, 0)$, so that $M_F$ has zeros in the entire first row and column. The form then reads
\begin{align*}
F(X_0, X_1, X_2) = a X_1^2 + b X_1 X_2 + c X_2^2 = G(X_1, X_2),
\end{align*}
a homogeneous polynomial in $X_1, X_2$ alone. As a binary quadratic form over the algebraically closed field $k$, $G$ factors into two linear forms: $G(X_1, X_2) = (\alpha_1 X_1 + \beta_1 X_2)(\alpha_2 X_1 + \beta_2 X_2)$. Hence $F$ factors as a product of two linear forms in $k[X_0, X_1, X_2]$, contradicting the irreducibility of $F$. Therefore $\det M_F \neq 0$, so $M_F$ is invertible.
Over an algebraically closed field with $\operatorname{char} k \neq 2$, every non-degenerate symmetric bilinear form on $k^3$ is equivalent (via $\mathrm{GL}_3(k)$-change of basis) to the standard hyperbolic-plus-line form $X_0 X_2 - X_1^2$ (or any other choice of non-degenerate symmetric matrix; over an algebraically closed field, all non-degenerate symmetric forms of a given rank are equivalent). Concretely, choose new coordinates $(X_0', X_1', X_2')$ such that $F$ becomes $X_0' X_2' - (X_1')^2$. Smoothness of $V(F)$ is invariant under projective changes of coordinates, as is the property of admitting an isomorphism from $\mathbb{P}^1_k$. So we may assume henceforth
\begin{align*}
F(X_0, X_1, X_2) = X_0 X_2 - X_1^2.
\end{align*}[/step]