A Quote by Charles K. Kao
When information is infinite, individual pieces of information are worth nothing.
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The 1970s was the decade of developments in the new area of information economics. Search theory, which emphasized the need to gather information, was joined by models that featured asymmetric information, the case in which information differed across individual agents.
Information networks straddle the world. Nothing remains concealed. But the sheer volume of information dissolves the information. We are unable to take it all in.
I think it is an anarchistic idea to have information on the front and the back. Normally if you add information to information, you have more information.
Groups are only smart when there is a balance between the information that everyone in the group shares and the information that each of the members of the group holds privately. It's the combination of all those pieces of independent information, some of them right, some of the wrong, that keeps the group wise.
Every physical system registers information, and just by evolving in time, by doing its thing, it changes that information, transforms that information, or, if you like, processes that information.
You have this certain about of responsibility to play a fictitious character and you have a script that's guiding you and the other information of the custom department's choices, and the set department, "Where are you," and all those other pieces of information but you have to cull from your imagination the answer to all the unasked questions. And with a real person, there's someone to get that information from, perhaps.
The thing about information is that information is more valuable when people know it. There's an exception for business information and super timely information, but in all other cases, ideas that spread win.
Well, there's a question as to what sort of information is important in the world, what sort of information can achieve reform. And there's a lot of information. So information that organizations are spending economic effort into concealing, that's a really good signal that when the information gets out, there's a hope of it doing some good...
Well, there's a question as to what sort of information is important in the world, what sort of information can achieve reform. And there's a lot of information. So information that organizations are spending economic effort into concealing, that's a really good signal that when the information gets out, there's a hope of it doing some good.
Data isn't information. ... Information, unlike data, is useful. While there's a gulf between data and information, there's a wide ocean between information and knowledge. What turns the gears in our brains isn't information, but ideas, inventions, and inspiration. Knowledge-not information-implies understanding. And beyond knowledge lies what we should be seeking: wisdom.
Normally if you add information to information, you have more information. In case of my art, I destroy information, I would say, because the image is disturbed by the writings. In a way, they become pure imagery. For me it's really fun because it's an idealistic approach to images, to just play around with information and see what's happening.
It's enshrined in our Constitution that an individual has a right to release information and disseminate information that makes the powers that be uncomfortable.
By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you’re lost in information, an information map is kind of useful.
By visualizing information, we turn it into a landscape that you can explore with your eyes: a sort of information map. And when you're lost in information, an information map is kind of useful.
Television is altering the meaning of 'being informed' by creating a species of information that might properly be called disinformation. Disinformation does not mean false information. It means misleading information - misplaced, irrelevant, fragmented or superficial information - information that creates the illusion of knowing something, but which in fact leads one away from knowing.
Amazing things happen when you pull individual pieces of information together into larger linked datasets: meaning emerges, as you produce facts from figures.
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