A fundamental principle of the Internet is that all hosts are peers, that is, there is nothing fundamentally different about your laptop or Time magazine’s web serving computers: each is a computer; each can run the same software and communicate in the same way; neither is privileged over the other.
Net neutrality is an important implication of this principle. Basically, all hosts on the Internet have the same access to resources as any other host.
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A fundamental principle of the Internet is that all hosts are peers, that is, there is nothing fundamentally different about your laptop or Time magazine’s web serving computers: each is a computer; each can run the same software and communicate in the same way; neither is privileged over the other.
Net neutrality is an important implication of this principle. Basically, all hosts on the Internet have the same access to resources as any other host.
Read more →
A few days ago I was driving along when a great song from my college years came on the radio (One Headlight by the Wallflowers). It occurred to me that it’d be really great to know the next time they’re in town. But then I realised that there’s no way for me to be alerted of the fact.
Sure, I could sign up for their mailing list. But then I’d get announcements of records, of shows in other cities and states, perhaps the lead singer’s thoughts on politics or art or some other subject.
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A few days ago I was driving along when a great song from my college years came on the radio (One Headlight by the Wallflowers). It occurred to me that it’d be really great to know the next time they’re in town. But then I realised that there’s no way for me to be alerted of the fact.
Sure, I could sign up for their mailing list. But then I’d get announcements of records, of shows in other cities and states, perhaps the lead singer’s thoughts on politics or art or some other subject.
Read more →
How are the most popular sites of 2001 doing now? Surprisingly, the vast majority have lost market share. So much for the theory that they could manage to lock users in …
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How are the most popular sites of 2001 doing now? Surprisingly, the vast majority have lost market share. So much for the theory that they could manage to lock users in …
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Kevin Kelly has a great piece on what he calls ‘consensus web filters’ — that is, sites which rely on their readers to submit & rank items of import. This is a category which will become only more important with time; the ability to filter out items in which one is interested out of the millions generated daily is highly useful.
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Kevin Kelly has a great piece on what he calls ‘consensus web filters’ — that is, sites which rely on their readers to submit & rank items of import. This is a category which will become only more important with time; the ability to filter out items in which one is interested out of the millions generated daily is highly useful.
Read more →
Google Talk now supports federation; that is, rather than only being able to talk to other gmail.com users, you’re now able to talk to any XMPP (Jabber protocol) users out there. At last instant messaging is starting to grow up — in time there will be no more AIM, MSN Messenger and instead a single common protocol open to all, just like email.
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Google Talk now supports federation; that is, rather than only being able to talk to other gmail.com users, you’re now able to talk to any XMPP (Jabber protocol) users out there. At last instant messaging is starting to grow up — in time there will be no more AIM, MSN Messenger and instead a single common protocol open to all, just like email.
Read more →
One of the techniques used in some sub-fields of Artificial Intelligence is training: one feeds one’s apparatus a set of known good associations (e.g. this word sounds like this and that like that, or this is the number 3 in forty different styles of handwriting), and for each sees what answer it returns, then correct it based on its answer. This obviously requires a large corpus, and building such a corpus is time-consuming and error-prone.
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One of the techniques used in some sub-fields of Artificial Intelligence is training: one feeds one’s apparatus a set of known good associations (e.g. this word sounds like this and that like that, or this is the number 3 in forty different styles of handwriting), and for each sees what answer it returns, then correct it based on its answer. This obviously requires a large corpus, and building such a corpus is time-consuming and error-prone.
Read more →