Again, though, this simply works to reinforce the computer analogy, considering stuff like file formats. You also have to concede that a conventional computer that stores the poem as a .bmp file isn't going to tell you what the 300th word in it is (again, without tools like text recognition), just like a human is generally not going to be able to (in the sort of timespan that you have in mind that is - it's perfectly possible and probable for a person who has memorised the poem to tell what the 300th word is, it would just take a bit of time).

Again, we can also remember different things about different objects, just like conventional computers can store files of different formats.
A software engineer might see something like 'O(x)' and immediately think 'oh, this is likely a fast algorithm', remembering the connection between time complexity of algorithms with big-O notation. Meanwhile, what immediately comes to mind for me is 'what filter base are we talking about?', as I am going to remember that classes of finally relatively bounded functions differ between filter bases. Or, a better example, we can have two people that have played, say, Starcraft. One of them might tell you that some building costs this amount of resources, while the other one won't be able to tell you that, but will be able to tell you that they usually get to afford it by such-and-such point in time.

Also, if you are going to point out that a computer can't tell if a particular image is of a 'wide shot of nature' or of a 'reflection of the light in the eyes of one's loved one', you will have to contend with the fact that image recognition software exists and it can, in fact, be trained to tell such things in a lot of cases, while many people are going to have issues with telling you relevant information. In particular, a person with severe face blindness might not be able to tell you what person a particular image is supposed to depict.