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Hey everyone, thanks for the comments. There's too much to respond to everyone, but a lot of people have brought up an "echo chamber" concern.

As other people have pointed out, the naive Bayes model works topically, so it will learn that I like stories about "patents" but not (usually) whether the stories are pro or anti-patent. It is totally true that I might miss an interesting story about the new OSX or about Pinterest, but I'm willing to live with that.

Two larger points are that

1. HN is only a small fraction of the news I consume, so it wouldn't matter that much to me even if it were a bubble chamber, and 2. The main reason I did this is that I simply couldn't keep up with the volume of stories otherwise.

Last night when I spoke about this, someone asked me whether I was concerned about all the false negatives I was missing. But before I started this, my RSS feed had like 800 (and growing) unread HN articles in it. Reading some of them, even a targeted some, is better than none.

Anyway, thanks for all the comments. I'm suprised (and glad) that people are so interested in this!



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