<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>GrantMoyer</author><text>With k = 1&amp;#x2F;x, the inverse weight interpolation is equivalent to bilinear. Perhaps it&amp;#x27;s better to show the result for k = 1&amp;#x2F;x^2.&lt;p&gt;Neat aside, k = 1&amp;#x2F;x^∞ seems to be equivalent to nearest neighbor. (please excuse the abuse of notation)</text><parent_chain></parent_chain></comment><story><title>A smooth and sharp image interpolation you probably haven&apos;t heard of</title><url>https://wordsandbuttons.online/a_smooth_and_sharp_image_interpolation.html</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>ImHereToVote</author><text>Why aren&amp;#x27;t the results of different interpolation methods shown in the website?</text><parent_chain></parent_chain></comment><story><title>A smooth and sharp image interpolation you probably haven&apos;t heard of</title><url>https://wordsandbuttons.online/a_smooth_and_sharp_image_interpolation.html</url></story>