Earlier quoted context omitted.
Or maybe the algorithm is scary accurate and has correctly deduced that Richard Stallman is, in fact, Satoshi Nakamoto! Somebody contact Newsweek!
As a sincere question, why did people downvote this comment? I thought he was funny and I think lighthearted humor has value to it. It didn't seem snarky to me, did it to someone else? Did it seem off-topic? It's a joke rather than useful information, but I'd argue that it is on-topic per the rules: "Anything that good hackers would find interesting." Am I missing something?
Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
41–50 of 70 posts
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#42Using ML? Why not using just Bayesian filters?
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#43Stop trying to remake Hacker News. It's pretty much perfect the way it is.
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#44Earlier quoted context omitted.
Or maybe the algorithm is scary accurate and has correctly deduced that Richard Stallman is, in fact, Satoshi Nakamoto! Somebody contact Newsweek!
As a sincere question, why did people downvote this comment? I thought he was funny and I think lighthearted humor has value to it. It didn't seem snarky to me, did it to someone else? Did it seem off-topic? It's a joke rather than useful information, but I'd argue that it is on-topic per the rules: "Anything that good hackers would find interesting." Am I missing something?
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#45I think the biggest value proposition of this is the ability to do sub-reddit like filtering on specific tags. As Hacker News grows I think dealing with the number of new submissions would become a bottleneck. During high-traffic times, new submissions sometimes drop of the first 'new' page in around 10 minutes. Of course there is more traffic during these times to upvote good content, but I'm not sure that is better…
Not too mention a lot of the content has strayed away from technology and has gone towards mental health, personal growth, news, politics, etc.
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#46I think the biggest value proposition of this is the ability to do sub-reddit like filtering on specific tags. As Hacker News grows I think dealing with the number of new submissions would become a bottleneck. During high-traffic times, new submissions sometimes drop of the first 'new' page in around 10 minutes. Of course there is more traffic during these times to upvote good content, but I'm not sure that is better…
subreddit force are their communities Also in 10 minutes there is no time to read every articles (or any good long for that matter) so not sure what that leave on the front page
https://goo.gl/forms/En1iuoUcf1qVfSHr2
I've also posted this sign-up as a discussion if you want to leave any comments for everyone to see: https://news.ycombinator.com/item?id=14338456
There are also options like HN top 10: http://www.daemonology.net/hn-daily/
Or the ultra-cynical weekly antidote to HN: http://n-gate.com/
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#47Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#48Earlier quoted context omitted.
Or maybe the algorithm is scary accurate and has correctly deduced that Richard Stallman is, in fact, Satoshi Nakamoto! Somebody contact Newsweek!
As a sincere question, why did people downvote this comment? I thought he was funny and I think lighthearted humor has value to it. It didn't seem snarky to me, did it to someone else? Did it seem off-topic? It's a joke rather than useful information, but I'd argue that it is on-topic per the rules: "Anything that good hackers would find interesting." Am I missing something?
?X is, in fact, Satoshi Nakamoto!
Chuck Norris, Paul Graham, my dog Spot for ?X are each about equally humorous. I think this is because each is about as clever an intellectual move. That's not to say that a joke connecting Stallman to Nakamoto couldn't work on Hacker News. Just that it would probably require a lot more work: e.g. better premise than a hackathoned machine learning classifier might be the singularity. Even here it might have worked if the author had gone all in and backed up the claim with examples, anecdotes, rationals that pushed the joke telling art via absurdity. https://www.youtube.com/watch?v=itWxXyCfW5sRe: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#49Earlier quoted context omitted.
Maybe we need a machine learning comment value predictor
Then nobody would need to visit the site at all, it'd be completely self-ranking and automated - imagine the productivity improvements in the valley? (Disrupting the web forum industry!)