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mhhf1ve
mhhf1ve
10/9/2017 11:57:15 AM
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Re: A hero ain't nothing but a permutation ....
I completely understand that a high school kid has different tastes than a person in their early 30s but in terms of purchasing power those two age brackets might not be so different. Given the number of young adults who live with their parents after college, the under 35 crowd is probably single and childless-- which is mostly what that demographic bracket for advertising cares about.

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Ariella
Ariella
10/9/2017 11:45:44 AM
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Re: Ten thousand hours...
@mhhf1ve I wanted to see if Nielsen publishes its breakdown by age. This article's graph also shows a very broad brush, just beginning at 18 rather than 16 http://www.nielsen.com/us/en/insights/news/2016/television-is-still-top-brass-but-viewing-differences-vary-with-age.html.

That difference may have to do with what is allowed by law to 16 year-olds in the UK that is restricted to only those over 18 in many states. 

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Ariella
Ariella
10/9/2017 11:43:31 AM
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Re: A hero ain't nothing but a permutation ....
@mhhf1ve I have a 16 year-old, and I gather her taste would be distinct from someone in their early thirties, likely even different from someone in her twenties. It's a different stage of life being in high school than beind post-college. 

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mhhf1ve
mhhf1ve
10/9/2017 11:42:01 AM
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Ten thousand hours...
Is 10,000 hours of video really that much content? Obviously, YouTube has vastly more hours. But even just one Blockbuster video probably contained about that amount in VHS tapes back in the day. And I'd say a lot of that video was probably not very popular and contained quite a bit of "straight to VHS" titles.

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mhhf1ve
mhhf1ve
10/9/2017 11:38:30 AM
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Re: A hero ain't nothing but a permutation ....
Hmm. Do you really think for a viewing audience that a 16-34 age bracket is large? I've seen it before as a demographic group. But maybe for other surveys, like retail, more divisions are better for capturing preferences of younger audiences.

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Ariella
Ariella
10/9/2017 9:20:40 AM
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Re: A hero ain't nothing but a permutation ....
<.It now has 16 million registered viewers, with a heavy skew towards 16-34-year-olds.>

@Adi I'm curious about the categorization. Is there really a huge category that takes in that range of ages, or does that combine three iedifferent categories, say 16-22, 23-29, 30-34?  

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mhhf1ve
mhhf1ve
10/8/2017 9:45:04 PM
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Re: A hero ain't nothing but a permutation ....
There have been a few attempts to make an AI that can compose hit songs and/or symphonies. Maybe we'll soon be flooded with more music than we could ever possibly listen to! (If we're not there already).

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mhhf1ve
mhhf1ve
10/8/2017 9:43:01 PM
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Platinum
Re: A hero ain't nothing but a permutation ....
Heh. I thought NASA figured out how to make a rain cloud -- but it was just way too expensive to do on a large enough scale to be practically useful. China figured this out too when it tried to wash away air pollution before the Beijing Olympic Games a few years back.

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mhhf1ve
mhhf1ve
10/8/2017 9:36:31 PM
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Platinum
Re: A hero ain't nothing but a permutation ....
Sure, there's no theoretical limit to how much content *could* be produced-- but there's certainly a limit on how much people can consume. I'd guess something like I more than 20% of a country's GDP is equivalent to the consumption of content by humans? Maybe if we create AI that can appreciate art then there will be no limit to content consumption besides the energy content of our solar system. :P

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JohnBarnes
JohnBarnes
10/8/2017 5:45:46 PM
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Re: A hero ain't nothing but a permutation ....
mhhf1ve,

And at this point, a not-yet-answerable question.  It may be like rainmaking, i.e. you can't make a cloud rain unless it's already ready to; or like forest fires (you can almost always start one but if it's wet and cold enough it won't sustain; or even genuinely an "any one any time" kind of thing. But the information is just not there.

And you're quite right that a simple cheap-to-run algorithm with a tolerable level of mistakes may make better economic sense than a highly developed one; that's another one of those problems they make you solve in data science class over and over and over and over ....

 

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