Programs like that search very selectively suffer less from horizon effect, because they do not have a sharply defined horizon. The positions in the leaves of their search tree are evaluated by a huge neural network, which is trained on millions of positions. And it is unavoidable that this training also makes it understand a lot of simple tactics by pattern recognition. Such tactics can then never be pushed over the horizon.
Programs like that search very selectively suffer less from horizon effect, because they do not have a sharply defined horizon. The positions in the leaves of their search tree are evaluated by a huge neural network, which is trained on millions of positions. And it is unavoidable that this training also makes it understand a lot of simple tactics by pattern recognition. Such tactics can then never be pushed over the horizon.