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"[...] for a narrow set of vision-related tasks." Which is good and interesting news! But then I would not have clicked, because the information I was looking
by rhaps0dy 11y ago
"[...] for a narrow set of vision-related tasks."
Which is good and interesting news! But then I would not have clicked, because the information I was looking for would have been in the title.
- ruiramos 11y agonytimes clickbait! ;)
- freddref 11y agoIt's gotten to the stage where I just read the comments first.
- kolinko 11y agosame here. it's great that some people still do. otherwise we'd need to hire an AI to read the articles for us and post the proper comments
- TheCraiggers 11y agoYou're operating under the presumption that rhaps0dy is not an AI.
- TuringTest 11y agoThat's because his username doesn't imply that he is one.
- cicero 11y agoWould you prefer r.haps0dy?
- rhaps0dy 11y agoWhy would r.haps0dy imply that I'm an AI? (let me out of the HN-box dammit)
- TuringTest 11y agoI think it's because of this[1]. [1]https://en.wikipedia.org/wiki/List_of_Robot_series_characters#R._Daneel_Olivaw https://en.wikipedia.org/wiki/List_of_Robot_series_character... "The "R" initial in his name stands for "robot," a naming convention in Asimov's future society; all robot names start with the initial R to differentiate them from humans which they often resemble."
- adolfoabegg 11y agoI do exactly the same thing.
- sanoli 11y agoMe too. Sometimes I wish there was a tl;dr under the title of each submission.
- TeMPOraL 11y agoThere is tldr.io, with somewhat still buggy Chrome integration, that will display you a TL;DR below Reply box on HN (and in an expandable-on-hover box next to the link on HN main page) iff someone has already written a TL;DR for the article in this service.
- alexc05 11y agoWhat an amazing design idea that would be for dealing with clickbait though. A crowd sourced subtitle could be added to the link and possibly voted on for accuracy (an expanding list shows alternate submissions or allows you to submit your own) Since headlines can no longer be trusted, we could turn to the crowd.
- arpa 11y agoThere's a lithuanian chrome/firefox plugin for that. It's pretty awesome
- deleted 11y ago[deleted]
- freddref 11y agoThis is already in effect as the top comment on HN usually ends up being the tldr, and the creator gets the karma.
- dhimes 11y agoWould be better if we were allowed to add text and a url when submitting.
- alexc05 11y agoRight, but consider the impact if there was a crowd sourced summary on Facebook (for example) "this jaw dropping thing that happened will make you weep for humanity" `baby drops ice cream, dog eats it` "Carrie Fisher destroys good morning America" `she throws out a few lighthearted quips, has a one-liner about jabba` I think it really becomes effective on video content with extreme linkbait. Personally, (and as a card-carrying crochety old man) I don't follow those links on principle. I'm carrying on my own little "boycott of one". By instituting platform change though, to solve for linkbait inline (not requiring a page load to comments) would change the value proposition of headlines and I think it would be more likely to reward for quality content. A TL;DR summary is not the same as "top comment" and TC is not always a TLDR ... One line, under the headline, crowd sourced and voted. I think it could fundamentally change behavior, and if the platform doing it was sufficiently large, the composition of the internet.
- DyslexicAtheist 11y agoyupp
- e12e 11y agoI wonder if this is how that same trend started on slashdot too (or meme, even: "You read TFA, are you new here?")? Then again, slashdot has always (as far as I know/remember) provided a summary in addition to the link, similar to how the page looks today.
- chris_st 11y agoThis, actually, is much better; the Slashdot summary is often wildly inaccurate, alas. Thanks intelligent commenters!
- eli_gottlieb 11y agoAn ML algorithm that can be reused for both recognition, generation, and novel generalization tasks is already a step above most of the entire field.
- turel 11y agoBy 'entire field' you mean handwriting recognition? They reduce the search space by limiting themselves to combinations of typical pen movements. Very smart, but I cannot see how it can be applied to machine learning in general.
- eli_gottlieb 11y ago>By 'entire field' you mean handwriting recognition? Classification of high-dimensional data is a huge portion of machine learning. >They reduce the search space by limiting themselves to combinations of typical pen movements. "They reduce the search space by limiting themselves to gradients of nearby pixels. Very smart, but I don't see how convolutional neural networks can be applied to machine learning in general." All of machine learning involves some prior knowledge -- the question is always how much and at what level of abstraction.
- edem 11y agoThanks for helping me avoid the clickbait.