The auto-update should be easy to implement. However, now that I've looked 
into error propagation, an interval seems like a very wrong way to 
represent uncertainty in physical measurements (apparently Mathematica does 
*not* do this; I don't know why I thought that). So the only alternative I 
see is to just have the nominal value, which is not ideal. I'll see how 
difficult it is to implement the error propagation; for now the only 
problems seem to be finding correlation between variables (otherwise you 
get strange things like x-x!=0, when x is a number with uncertainty).

@Keshav Kini
Not exactly. Although it is a probability distribution, the bounds *are*strict; 
one standard deviation (at least in the case of the NIST 
constants). The way operations are handled is just different; see 
http://chemwiki.ucdavis.edu/Analytical_Chemistry/Quantifying_Nature/Propagation_of_Error
.

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