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Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

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Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#41

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?

it detracts from the conversation, and meaningful responses (ie why did the classifier classify it as blockchain?)

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#43

Stop trying to remake Hacker News. It's pretty much perfect the way it is.

Rebuilding HN in some fashion if a yearly thing. I rebuilt it nearly 5 years ago, and even then people told me it's a yearly occurrence haha.

https://news.ycombinator.com/item?id=4376184

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#44

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?

Humor is not allowed on HN.

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#45

I 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.

I don't remember a time when all those topics were not common.

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#46
post #37

I 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

If you or anyone else is interested in a 10 minute audio summary of Hacker News, let me know.

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

#48

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?

My impression is that the bar for humor is higher on Hacker News than most other places. Perhaps at a minimum the joke should be intellectually interesting enough that there is no need to lawyer up behind a claim that the joke is on topic. Here the nexus is formulaic:

    ?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=itWxXyCfW5s

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#49
post #39

Earlier 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!)

> Someone somewhere takes this seriously, actually starts next unicorn
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