<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: genericpseudo</title><link>https://news.ycombinator.com/user?id=genericpseudo</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 10 Jun 2026 05:20:52 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=genericpseudo" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by genericpseudo in "Organized Resources for Deep Learning Researchers and Developers"]]></title><description><![CDATA[
<p>I like "Machine Learning: A Probabilistic Perspective" by Kevin Murphy more, but this really is a matter of taste; both are excellent.</p>
]]></description><pubDate>Mon, 13 Aug 2018 19:25:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=17752860</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=17752860</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17752860</guid></item><item><title><![CDATA[New comment by genericpseudo in "Organized Resources for Deep Learning Researchers and Developers"]]></title><description><![CDATA[
<p>Take as much probability and linear algebra as you can conveniently do – as much for the intuition as for the symbol-manipulation mechanics – and don't underrate the importance of domain expertise in any problem you get interested in!</p>
]]></description><pubDate>Mon, 13 Aug 2018 19:20:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=17752828</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=17752828</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17752828</guid></item><item><title><![CDATA[New comment by genericpseudo in "The Shipping Forecast"]]></title><description><![CDATA[
<p>The Shipping Forecast is a very significant cultural reference in the UK. It crops up all over the place. Britain is _fundamentally_ an island and a seafaring nation, and that's something Americans miss; you're never more than seventy miles from the sea. It's as iconic as, I don't know, Thanksgiving football in the US; it's a thing everyone knows about without explanation.<p>This is from an album which sold over 1.2m copies in the UK; one of the biggest records of the 90s: <a href="https://www.youtube.com/watch?v=SD8gO8TAr4s" rel="nofollow">https://www.youtube.com/watch?v=SD8gO8TAr4s</a></p>
]]></description><pubDate>Thu, 26 Jul 2018 07:27:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=17615698</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=17615698</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17615698</guid></item><item><title><![CDATA[New comment by genericpseudo in "Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence"]]></title><description><![CDATA[
<p>Density functional theory, for example, is taught at undergraduate level as part of both chemistry and physics triposes. Probably materials science too, and it certainly used to be an option within earth sciences (as part of the mineral physics path).</p>
]]></description><pubDate>Fri, 11 May 2018 03:32:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=17044786</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=17044786</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17044786</guid></item><item><title><![CDATA[New comment by genericpseudo in "Apple Hires Google’s A.I. Chief"]]></title><description><![CDATA[
<p>Collaborative filtering is machine learning, so if you consider AI machine learning, definitely yes.</p>
]]></description><pubDate>Wed, 04 Apr 2018 03:13:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=16751577</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=16751577</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16751577</guid></item><item><title><![CDATA[New comment by genericpseudo in "Semantic Image Segmentation with DeepLab in Tensorflow"]]></title><description><![CDATA[
<p>The team behind Detectron have published an enormous amount of really good research, but the Detectron codebase struck me as "good research code" rather than something you'd ideally want in production.</p>
]]></description><pubDate>Tue, 13 Mar 2018 17:59:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=16578192</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=16578192</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16578192</guid></item><item><title><![CDATA[New comment by genericpseudo in "Semantic Image Segmentation with DeepLab in Tensorflow"]]></title><description><![CDATA[
<p>Not at the kind of resolution you'd want to be using on, e.g., Twitch. In that setting, you could just use chromakey, though? That's '70s technology, cheap and very reliable.</p>
]]></description><pubDate>Tue, 13 Mar 2018 17:58:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=16578179</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=16578179</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16578179</guid></item><item><title><![CDATA[New comment by genericpseudo in "Semantic Image Segmentation with DeepLab in Tensorflow"]]></title><description><![CDATA[
<p>If you're interested in this but have no background, the best place to start is "Fully Convolutional Networks for Semantic Segmentation" – <a href="https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf" rel="nofollow">https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn...</a><p>This is a very active field of research. Another thread worth pulling on is Mask R-CNN: <a href="https://arxiv.org/abs/1703.06870" rel="nofollow">https://arxiv.org/abs/1703.06870</a><p>It's not quite as simple as "this one has highest mAP, let's use it"; the tradeoffs are complex. In particular, as you can see in the image here, one thing DeepLab doesn't do is segment <i>instances</i> – so you get a mask of "people", not a mask per person. Mask R-CNN does a better job on that by design, because it predicts both bounding boxes and a mask per bounding box.</p>
]]></description><pubDate>Tue, 13 Mar 2018 01:09:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=16573118</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=16573118</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16573118</guid></item><item><title><![CDATA[New comment by genericpseudo in "Dropbox S-1"]]></title><description><![CDATA[
<p>> Stitch Fix makes it a major brand point that computers are an important part of the process<p>(which even if you disregard everything else is a really good line to take if you're after recruiting good machine learning engineers!)</p>
]]></description><pubDate>Fri, 23 Feb 2018 23:14:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=16450467</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=16450467</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16450467</guid></item><item><title><![CDATA[New comment by genericpseudo in "MPEG: A crisis, the causes and a solution"]]></title><description><![CDATA[
<p>This means that codec development makes no sense for anyone who doesn't own either a large <i>distribution</i> platform or a large <i>playback</i> platform. (Much of the research has been done by middleware companies attempting to tax the two; their business goes from royalties to work-for-hire, at best, which is way less attractive for them).<p>This is fine – in a macroeconomic sense – but of course it sucks if you're one of the companies being disrupted.</p>
]]></description><pubDate>Tue, 30 Jan 2018 00:04:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=16261770</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=16261770</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16261770</guid></item><item><title><![CDATA[New comment by genericpseudo in "How Adversarial Attacks Work"]]></title><description><![CDATA[
<p>Effective counterexample: the USPS.<p><a href="http://www.cedar.buffalo.edu/~srihari/talks/Telcordia.pdf" rel="nofollow">http://www.cedar.buffalo.edu/~srihari/talks/Telcordia.pdf</a></p>
]]></description><pubDate>Thu, 02 Nov 2017 22:21:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=15614830</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15614830</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15614830</guid></item><item><title><![CDATA[New comment by genericpseudo in "Gluon – Deep Learning API from AWS and Microsoft"]]></title><description><![CDATA[
<p>One of four (MXNet and CNTK alongside TF and Theano), and the Amazon deep learning API forked Keras to default to MXNet support before it was really ready - which irked the Keras authors quite a bit.</p>
]]></description><pubDate>Thu, 12 Oct 2017 17:33:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=15459646</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15459646</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15459646</guid></item><item><title><![CDATA[New comment by genericpseudo in "Gluon – Deep Learning API from AWS and Microsoft"]]></title><description><![CDATA[
<p>Python has been the language of choice for many physicists (when not doing Fortran) since the early 2000s.</p>
]]></description><pubDate>Thu, 12 Oct 2017 17:31:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=15459633</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15459633</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15459633</guid></item><item><title><![CDATA[New comment by genericpseudo in "Edward is officially moving into TensorFlow"]]></title><description><![CDATA[
<p>PyTorch, Theano (rip), TensorFlow itself, Numba/Blaze?</p>
]]></description><pubDate>Fri, 06 Oct 2017 05:51:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=15414714</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15414714</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15414714</guid></item><item><title><![CDATA[New comment by genericpseudo in "Google is paying Apple billions per year to remain on the iPhone"]]></title><description><![CDATA[
<p>It's even more dramatic than that. Google make money on advertising, not direct sales, so what you're saying is "the (usage * advertiser desirability) from the entirety of group 2 is roughly equal to groups 1 and 3 combined".<p>Given group 1 is many times bigger than group 2, that's a very strong statement, but it's borne out in all the data I've ever seen, both public and private.</p>
]]></description><pubDate>Tue, 15 Aug 2017 19:23:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=15021466</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15021466</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15021466</guid></item><item><title><![CDATA[New comment by genericpseudo in "Google is paying Apple billions per year to remain on the iPhone"]]></title><description><![CDATA[
<p>Absolutely, yes. Your moral argument there is pretty undeniable; I'm speaking purely to propensity-to-spend and that's a pretty narrow lens.<p>In fact, I'd say "target the web" if you're going for maximum accessibility and you're not driven by commercial factors, though that doesn't work for every app and the usability/discoverability issues can be real. Favoring any commercial platform as a government is a very uncomfortable place to be.</p>
]]></description><pubDate>Mon, 14 Aug 2017 22:57:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=15013781</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15013781</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15013781</guid></item><item><title><![CDATA[New comment by genericpseudo in "Google is paying Apple billions per year to remain on the iPhone"]]></title><description><![CDATA[
<p>Turns out paying $700 is a pretty good proxy for "caring", though!</p>
]]></description><pubDate>Mon, 14 Aug 2017 22:55:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=15013765</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15013765</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15013765</guid></item><item><title><![CDATA[New comment by genericpseudo in "Google is paying Apple billions per year to remain on the iPhone"]]></title><description><![CDATA[
<p>More "chooses to spend what money they have on a phone" plus "has the money to spend", which is almost but not quite what you're saying. I know some very rich people with whatever Android device the network gave them. They just don't care that much.</p>
]]></description><pubDate>Mon, 14 Aug 2017 22:53:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=15013753</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15013753</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15013753</guid></item><item><title><![CDATA[New comment by genericpseudo in "Google is paying Apple billions per year to remain on the iPhone"]]></title><description><![CDATA[
<p>This observation is the single most important thing you need to know if you work in consumer mobile.<p>To first order, iPhone owners spend money. Android owners don't. This is because your average iPhone user cares more about what phone they're using and simply <i>uses</i> it more.<p>This <i>is</i> a first-order approximation. The small percentage of people who actively <i>choose</i> Android do spend and do use their phones a lot, and by goodness are they vocal, but the more useful way of thinking about the market is not two-segment, it's three-segment:<p>* Vast majority: don't care about their phone OS, won't pay for anything<p>* Significant minority: want iPhones, will most probably spend money<p>* Significant but even smaller minority: actively want Android, will buy premium Android phones (e.g. Nexus, high-end Samsung), will either spend money or, with roughly equal likelihood, jailbreak and pirate everything in sight.<p>From this perspective iOS remains the most compelling mobile OS to target. Additionally, iOS users – on average - use apps more and for longer, though again that effect is small when you control for the kind of Android devices people go out of their way to choose.</p>
]]></description><pubDate>Mon, 14 Aug 2017 21:45:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=15013273</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=15013273</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15013273</guid></item><item><title><![CDATA[New comment by genericpseudo in "Scientists Reverse Brain Damage in Drowned Toddler?"]]></title><description><![CDATA[
<p>Yes, when appropriate. Think of it as a Bayesian prior...</p>
]]></description><pubDate>Thu, 20 Jul 2017 17:13:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=14814407</link><dc:creator>genericpseudo</dc:creator><comments>https://news.ycombinator.com/item?id=14814407</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=14814407</guid></item></channel></rss>