By Jonathan Zittrain
This awesome booklet explains the engine that has catapulted the web from backwater to ubiquity—and finds that it truly is sputtering accurately due to its runaway luck. With the unwitting support of its clients, the generative net is on a route to a lockdown, finishing its cycle of innovation—and facilitating unsettling new varieties of control.
IPods, iPhones, Xboxes, and TiVos characterize the 1st wave of Internet-centered items that can’t be simply transformed by means of a person other than their owners or chosen companions. those “tethered appliances” have already been utilized in amazing yet little-known methods: motor vehicle GPS platforms were reconfigured on the call for of legislation enforcement to snoop on the occupants perpetually, and electronic video recorders were ordered to self-destruct due to a lawsuit opposed to the producer hundreds of thousands of miles away. New internet 2.0 structures like Google mash-ups and fb are rightly touted—but their functions might be equally monitored and eradicated from a relevant resource. As tethered home equipment and functions eclipse the computer, the very nature of the Internet—its “generativity,” or cutting edge character—is at risk.
The Internet’s present trajectory is one in every of misplaced chance. Its salvation, Zittrain argues, lies within the palms of its hundreds of thousands of clients. Drawing on generative applied sciences like Wikipedia that experience thus far survived their very own successes, this booklet exhibits the best way to improve new applied sciences and social buildings that let clients to paintings creatively and collaboratively, perform ideas, and turn into precise “netizens.”
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Extra resources for The Future of the Internet--And How to Stop It
Sample text
Computers, then, are only one piece of a mosaic that can be more or less generative. Another critical piece is the network, its own generativity hinging on how much it costs to use, how its costs are measured, and the circumstances under which its users can connect to one another. Just as information processing devices can be appliance, mainframe, PC, or something in between, there are a variety of ways to design a network. The choice of configuration involves many trade-offs. This chapter explains why the Internet was not the only way to build a network—and that different network configurations lead not only to different levels of generativity, but also to different levels of regulability and control.
19 With many interested users having to share one incoming line to a BBS, it was the opposite of the proprietary connect time model: users were asked to spend as little time connected as possible. PC generativity provided a way to ameliorate some of these limitations. 20 FIDOnet was BBS software that could be installed on many PCs. Each FIDOnet BBS could call another in the FIDO network and they would exchange their respective message stores. That way, users could post messages to a single PC’s BBS and find it copied automatically, relay-style, to hundreds of other BBSs around the world, with replies slowly working their way around to all the FIDOnet BBSs.
PCs were to be only the delivery vehicles for data sent to customers, and users were not themselves expected to program or to be able to receive services from anyone other than their central service provider. CompuServe depended on the phone network’s physical layer generativity to get the last mile to a subscriber’s house, but CompuServe as a service was not open to third-party tinkering. Why would CompuServe hold to the same line that AT&T tried to draw? 13 With mere connect time as the goal, one might think activity-garnering user-contributed software running on the service would be welcome, just as user-contributed content in the CB simulator or on a message board produced revenue if it drew other users in.
