The definition for limsup is:
$$\bigcap _{n=1}^{\infty }\bigcup _{k=n}^{\infty }\:A_k$$
So this means that $$\left(A_1\cup \:A_2\cup \:A_3\cup \:...\right)\cap \left(A_2\cup \:\:A_3\cup \:\:...\right)\cap \:\left(A_3\cup \:\:\:...\right)\cap \:...$$ which is equal to the last element of this infinite sequence (let's call it $A_{\infty }$)
For example let $A_n\:=\:\left[0,\frac{1}{n}\right]$, then $$\left(A_1\cup \:A_2\cup \:A_3\cup \:...\right)\cap \left(A_2\cup \:\:A_3\cup \:\:...\right)\cap \:\left(A_3\cup \:\:\:...\right)\cap \:... = \left\{0\right\}$$ as $$\left[0,\frac{1}{\infty }\right]\:=\:\left[0,\:0\right]\:=\:\left\{0\right\}$$
The problem here with Probability Theory and its understanding of limsup is that we can create such kind of scenarios that "$A_{\infty }$" won't be equal to "ifinitely many $A_n$ occur".
For example let $A_{n}=\left\{\text{person number n wins the lottery}\right\}$, "$A_{\infty }$" (and thus $\limsup_n\:A_n$) would mean that the "last person of this infinite sequence will win the lottery", and not that "infinitely many $A_n$ occur" which is equal to "everyone wins" (as this is clearly not the case here, because only the $\infty$th person wins)
I really need help to understand this concept
There is no such "last person". What we have is $A_i$ where $i=1,2,3,\dots$ (i.e. $i\in \mathbf Z_+$)
So in your example $\lim \sup A_n=\emptyset$.
Understanding of $\lim\sup$:
Let's say $a\in \lim \sup A_n=\bigcap_m\bigcup_{n\ge m} A_n$. That means $a$ occurs in $\bigcup_{n\ge m} A_n$ for every $m$. If $a$ doesn't occur in $A_1,A_2,\dots$ for infinite times, say, $a\in A_{i_1},A_{i_2},A_{i_3},\dots,A_{i_k}$. Then a large integer $m_0$ (large enough so that $m_0>i_1,i_2,\dots,i_k$) will lead to contradiction since $a\not\in \bigcup_{n\ge m_0} A_n$.