For minimisation problems why do use the negative gradient to move towards a minimum?

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Why is the negative of the gradient used, instead of the actual gradient. Moreover, I am a bit confused on how the vector of the gradient points, like how do you determine in which way it points. Sorry if this seems vague, Im just really confused by the gradient of multidimensional minimisation problems.