
    Given the maximum number of social media posts that need content moderation, determine the largest batch size (which must be a power of 2) that the AI filtering system can process simultaneously without exceeding the system's capacity limit. This batch size optimization is crucial for efficient parallel processing and memory allocation in the content moderation algorithms.
    

    
def highest_Power_of_2(n):
    """
    Given the maximum number of social media posts that need content moderation, determine the largest batch size (which must be a power of 2) that the AI filtering system can process simultaneously without exceeding the system's capacity limit. This batch size optimization is crucial for efficient parallel processing and memory allocation in the content moderation algorithms.
    

    """
def highest_Power_of_2(n):
    """
    Given the maximum number of social media posts that need content moderation, determine the largest batch size (which must be a power of 2) that the AI filtering system can process simultaneously without exceeding the system's capacity limit. This batch size optimization is crucial for efficient parallel processing and memory allocation in the content moderation algorithms.
    

    """
    res = 0
    for i in range(n, 0, -1):
        if i & i - 1 == 0:
            res = i
            break
    return res