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'' ' INTRICATE STRANGERS
INTERNET ' ''
ALL ACROSS THE PODCAST REALM - from the heights of self - help to the depths of true crime, imagined relationships are blossoming.
Nick Walters listens to a bunch of different podcasts, but none speak to him the way ''Falling Upwards'' does.
The weekly show, hosted by the men's-wear enthusiasts and self-proclaimed ''grown dirtbags'' Lawrence Scholassman and James Harris, undertakes to navigate the ''millennial male zeitgeist''. Podcasts let us get to know someone else without the stress of our being known.
Listeners may press play for the content, but many of them eventually come to nurture something like a one-way friendship with the host.
IT DOESN'T REALLY MATTER WHAT GENRE their podcast is in. Whatever they buy, their listeners will buy And with that I turn to the hope of a better future Internet.
I asked Ms. Shane whether her algorithm could give us some text that might reveal something about the future after social media. She prompted the algorithm by feeding in the terms of service from Second Life, a virtual reality social network.
To generate its answers, GPT-2 drew on those terms of service along with everything it had learned from humans on the web. ''In a sense GPT-2 is based on just about every code of conduct on the Internet, plus everything else on the Internet,'' Ms. Shane told me.
That means GPT-2 is as biased as every bonkers thing you've read online. Even if the future of media isn't here yet, perhaps its imaginary code of conduct would give us clues about what it would be like.
The algorithm came up with some rules that sounded almost real:
''You may not make money from feature uploads of any kind that upset, ridicule or damage the virtual property.''
''You may not develop artificial or undesired entities for use in Photon Emission Products [PEPS].
''We retain 14 of your detachable drones to monitor, detect, reproduce and regular update your virtual questions, software and datalogues.''
''You may not transmit a child virus, via Bluetooth, Group Connection Beans/Sweets, or bee Collision Marketing Erada virus with your Student or Students Solutions Phone.''
What the neural network seemed to be telling me was that even when we're all in a distant future of ''Photon Emission Products,'' ''detachable drones'' and ''Group Connection Beans,'' we're still going to be worried about how we treat one another in public spaces. We'll want to set up rules that limit undesirable outcomes and protect children.
Nick Walters listens to a bunch of different podcasts, but none speak to him the way ''Falling Upwards'' does.
The weekly show, hosted by the men's-wear enthusiasts and self-proclaimed ''grown dirtbags'' Lawrence Scholassman and James Harris, undertakes to navigate the ''millennial male zeitgeist''. Podcasts let us get to know someone else without the stress of our being known.
Listeners may press play for the content, but many of them eventually come to nurture something like a one-way friendship with the host.
IT DOESN'T REALLY MATTER WHAT GENRE their podcast is in. Whatever they buy, their listeners will buy And with that I turn to the hope of a better future Internet.
I asked Ms. Shane whether her algorithm could give us some text that might reveal something about the future after social media. She prompted the algorithm by feeding in the terms of service from Second Life, a virtual reality social network.
To generate its answers, GPT-2 drew on those terms of service along with everything it had learned from humans on the web. ''In a sense GPT-2 is based on just about every code of conduct on the Internet, plus everything else on the Internet,'' Ms. Shane told me.
That means GPT-2 is as biased as every bonkers thing you've read online. Even if the future of media isn't here yet, perhaps its imaginary code of conduct would give us clues about what it would be like.
The algorithm came up with some rules that sounded almost real:
''You may not make money from feature uploads of any kind that upset, ridicule or damage the virtual property.''
''You may not develop artificial or undesired entities for use in Photon Emission Products [PEPS].
''We retain 14 of your detachable drones to monitor, detect, reproduce and regular update your virtual questions, software and datalogues.''
''You may not transmit a child virus, via Bluetooth, Group Connection Beans/Sweets, or bee Collision Marketing Erada virus with your Student or Students Solutions Phone.''
What the neural network seemed to be telling me was that even when we're all in a distant future of ''Photon Emission Products,'' ''detachable drones'' and ''Group Connection Beans,'' we're still going to be worried about how we treat one another in public spaces. We'll want to set up rules that limit undesirable outcomes and protect children.
More important, Ms. Shane's neural network makes it obvious why media run by algorithms is doomed to fail. It might look as if it's working - after all, ''bee Collision Marketing Eradia virus'' almost makes no sense. But it's just a word mush, without real meaning, without real meaning. We need humans to maintain and curate the public spaces we actually want.
And even if our algorithm become miraculously intelligent and unbiased, we won't solve the problem of social media until we change the outdated metaphors we used to think about it.
Twitter and Facebook executives often say that their services are modeled on a ''public square''. But the public square is more like 1970s network television, where one person at a time addresses the masses.
On social media, the ''square'' is more like millions of karaoke boxes running in parallel, where groups of people are singing lyrics that none of the other boxes can hear. And many members of the ''public'' are actually artificial beings controlled by hidden individuals or organizations.
There isn't a decent real - world analogue for social media, and that makes it difficult for users to understand where public information is coming from, and where there personal information is going.
It doesn't have to be that way. As Erik Hall pointed out, we have centuries of experience designing real-life spaces where people gather safely.
After the social media age is over, we'll have the opportunity to rebuild our damaged public sphere by creating digital public spaces that imitate actual town halls, concert venues and pedestrian-friendly sidewalks.
These are places where people can socialize or debate with a large community, but they can do it anonymously. If they want to, they can just be face in the crowd, not data streams loaded with personal information.
The Honor and Serving of the Latest Global Operational Research on Internet and Future, continues.
With respectful dedication to the Students, Professors and Teachers of the world. See Ya all prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter : !E-WOW! - the Ecosystem 2011 :
''' Time Line Tune '''
And even if our algorithm become miraculously intelligent and unbiased, we won't solve the problem of social media until we change the outdated metaphors we used to think about it.
Twitter and Facebook executives often say that their services are modeled on a ''public square''. But the public square is more like 1970s network television, where one person at a time addresses the masses.
On social media, the ''square'' is more like millions of karaoke boxes running in parallel, where groups of people are singing lyrics that none of the other boxes can hear. And many members of the ''public'' are actually artificial beings controlled by hidden individuals or organizations.
There isn't a decent real - world analogue for social media, and that makes it difficult for users to understand where public information is coming from, and where there personal information is going.
It doesn't have to be that way. As Erik Hall pointed out, we have centuries of experience designing real-life spaces where people gather safely.
After the social media age is over, we'll have the opportunity to rebuild our damaged public sphere by creating digital public spaces that imitate actual town halls, concert venues and pedestrian-friendly sidewalks.
These are places where people can socialize or debate with a large community, but they can do it anonymously. If they want to, they can just be face in the crowd, not data streams loaded with personal information.
The Honor and Serving of the Latest Global Operational Research on Internet and Future, continues.
With respectful dedication to the Students, Professors and Teachers of the world. See Ya all prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter : !E-WOW! - the Ecosystem 2011 :
''' Time Line Tune '''
Good Night and God Bless
SAM Daily Times - the Voice of the Voiceless
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