This article says https://en.wikipedia.org/wiki/Set-theoretic_limit#Almost_sure_convergence.
The event that a sequence of random variables $Y_1, Y_2, \dots$ converges to another random variable $Y$ is formally expressed as $\{{\limsup _{n\to \infty }|Y_{n}-Y|=0\}}$. It would be a mistake, however, to write this simply as a limsup of events. That is, this is not the event $ \limsup _{n\to \infty }\{|Y_{n}-Y|=0\}$ !
I was wondering if the second expression is simply incorrect notation because it did not have a pair of parentheses around the whole expression. Both expressions mean the same thing to me.
The first expression concerns a $\limsup$ of functions.
The second expression concerns a $\limsup$ of sets (which again is a set).
$$\omega\in\{\limsup_{n\to\infty}|Y_n-Y|=0\}\iff\limsup_{n\to\infty}|Y_n(\omega)-Y(\omega)|=0\iff\lim_{n\to\infty}Y_n(\omega)=Y(\omega)\tag1$$ and:$$\omega\in\limsup\{|Y_n-Y|=0\}\iff\{n\in\mathbb N|Y_n(\omega)-Y(\omega)|=0\}\text{ is infinite}\tag2$$
Note that $(1)$ does not imply $(2)$ and also $(2)$ does not imply $(1)$.
If e.g. $Y_n(\omega)=\frac1n$ and $Y(\omega)=0$ then $(1)$ is true and $(2)$ is not true.
If e.g. $Y_n(\omega)=0=Y(\omega)$ for $n$ odd, and $Y_n(\omega)=1$ for $n$ even then $(2)$ is true and $(1)$ is not true.