5 ms·
Using it, you can tell there is some huge potential. For example, these nifty queries: us debt / us population / us life expectancy in days http://www.wolfra
by dcurtis 17y ago
Using it, you can tell there is some huge potential.
For example, these nifty queries:
us debt / us population / us life expectancy in days
http://www.wolframalpha.com/input/?i=us+debt+%2F+us+population+%2F+us+life+expectancy+in+days&asynchronous=false&equal=Submit http://www.wolframalpha.com/input/?i=us+debt+%2F+us+populati...
and
(MSFT net income / MSFT employees)
http://www.wolframalpha.com/input/?i=%28MSFT+net+income+%2F+MSFT+employees%29&asynchronous=false&equal=Submit http://www.wolframalpha.com/input/?i=%28MSFT+net+income+%2F+...
- tokenadult 17y agous debt / us population / us life expectancy in days What does that mean, to you, in everyday language? I see what WolframAlpha did with that, but what is the implication of that answer for a real-world concern?
- jibiki 17y agoIt is the amount of debt each American has to pay off each day. Except, you know, it isn't.
- aneesh 17y agoAssuming zero interest :-)
- quizbiz 17y agoNow if we could tell it to consider interest then I would be impressed.
- silentOpen 17y agoYou'd need an interest function. Use historical data? Specify a regression? Have it try to calculate last average? Even then, you'd need to have some objective value of worth to understand what $0.92 means. Right now, it only measures the value of the dollar. :-/
- johnnybgoode 17y agoSome kind of debt slavery calculation? :)
- dbul 17y agoIt definitely still has a long way to go. For example, it cannot understand area Pittsburgh / area Kanazawa or population density Pittsburgh / population density Kanazawa which seems less complex than the above queries. Alpha is, however, aware of the populations of each city.
- tl 17y agoIt still needs work for more complex queries: http://www.wolframalpha.com/input/?i=debt+%2F+pop++japan%2C+debt+%2F+pop+us%2C+debt+%2F+pop+france%2C+debt+%2F+pop+china http://www.wolframalpha.com/input/?i=debt+%2F+pop++japan%2C+... So there's a small bug when you look at France. Also, it took trial and error to get a query that actually worked. (ex: comparing debt / pop / LE between multiple countries instead of debt / pop leads to more bugs)