<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: Bayes7</title><link>https://news.ycombinator.com/user?id=Bayes7</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 29 Sep 2026 15:48:25 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=Bayes7" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by Bayes7 in "In an $80 motel room, a discovery to shed light on the origins of life"]]></title><description><![CDATA[
<p>>"The first species of Paulinella was discovered on Dec. 24, 1894, in the sediments of a backwater of the Rhine River by the German biologist Robert Lauterborn. He named the genus after his stepmother, Pauline."<p>How can they say this without providing more background?</p>
]]></description><pubDate>Sun, 27 Sep 2026 18:18:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=49869303</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=49869303</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49869303</guid></item><item><title><![CDATA[New comment by Bayes7 in "I wrote my PhD Thesis in Typst"]]></title><description><![CDATA[
<p>| „[…] was a friend telling me his LaTeX thesis took 90 seconds to compile towards the end“<p>Sure, but in order to iterate you won’t have to compile the whole document but can just keep the chapter you are working on by structuring it with \includes</p>
]]></description><pubDate>Mon, 23 Jun 2025 06:07:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=44352862</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=44352862</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44352862</guid></item><item><title><![CDATA[New comment by Bayes7 in "Show HN: Torch Lens Maker – Differentiable Geometric Optics in PyTorch"]]></title><description><![CDATA[
<p>Its a thing: <a href="https://www.nature.com/articles/s41377-024-01590-3" rel="nofollow">https://www.nature.com/articles/s41377-024-01590-3</a></p>
]]></description><pubDate>Fri, 21 Mar 2025 14:08:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=43435900</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=43435900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43435900</guid></item><item><title><![CDATA[New comment by Bayes7 in "Lemma for the Fundamental Theorem of Galois Theory"]]></title><description><![CDATA[
<p>Would you mind sharing how it turned out useful?</p>
]]></description><pubDate>Sat, 15 Mar 2025 16:26:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=43373503</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=43373503</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43373503</guid></item><item><title><![CDATA[New comment by Bayes7 in "PhotoDNA"]]></title><description><![CDATA[
<p>thanks!</p>
]]></description><pubDate>Sat, 19 Oct 2024 07:17:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=41886224</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=41886224</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41886224</guid></item><item><title><![CDATA[New comment by Bayes7 in "PhotoDNA"]]></title><description><![CDATA[
<p>Is there any good article/paper that describes how it actually works or is implemented not just in high-level and hand-waving terms?</p>
]]></description><pubDate>Sat, 19 Oct 2024 06:22:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=41886005</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=41886005</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41886005</guid></item><item><title><![CDATA[New comment by Bayes7 in "Magic Wormhole: get things from one computer to another, safely"]]></title><description><![CDATA[
<p>great project!</p>
]]></description><pubDate>Sat, 17 Aug 2024 20:04:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=41277500</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=41277500</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41277500</guid></item><item><title><![CDATA[New comment by Bayes7 in "Foliate: Read e-books in style, navigate with ease"]]></title><description><![CDATA[
<p>Check out sioyek, it’s great and can open epubs like normal pdfs:<p><a href="https://sioyek.info/" rel="nofollow">https://sioyek.info/</a>
<a href="https://github.com/ahrm/sioyek">https://github.com/ahrm/sioyek</a></p>
]]></description><pubDate>Fri, 19 Jul 2024 06:08:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=41002346</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=41002346</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41002346</guid></item><item><title><![CDATA[New comment by Bayes7 in "Beating NumPy matrix multiplication in 150 lines of C"]]></title><description><![CDATA[
<p>This was a great read, thanks a lot!
One a side note, any one has a good guess what tool/software they used to create the visualisations for matrix multiplications or memory outline?</p>
]]></description><pubDate>Thu, 04 Jul 2024 14:46:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=40875379</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=40875379</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40875379</guid></item><item><title><![CDATA[Sioyek: PDF Reader for Papers]]></title><description><![CDATA[
<p>Article URL: <a href="https://sioyek.info">https://sioyek.info</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=39777938">https://news.ycombinator.com/item?id=39777938</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 21 Mar 2024 12:56:25 +0000</pubDate><link>https://sioyek.info</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=39777938</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39777938</guid></item><item><title><![CDATA[Supercharge your PDF reading]]></title><description><![CDATA[
<p>Article URL: <a href="https://scholar.googleblog.com/2024/03/supercharge-your-pdf-reading-follow.html">https://scholar.googleblog.com/2024/03/supercharge-your-pdf-reading-follow.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=39753926">https://news.ycombinator.com/item?id=39753926</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 19 Mar 2024 08:50:46 +0000</pubDate><link>https://scholar.googleblog.com/2024/03/supercharge-your-pdf-reading-follow.html</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=39753926</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39753926</guid></item><item><title><![CDATA[New comment by Bayes7 in "Self-Consuming Generative Models Go MAD"]]></title><description><![CDATA[
<p>Summarised by <a href="https://xkcd.com/2494" rel="nofollow">https://xkcd.com/2494</a></p>
]]></description><pubDate>Thu, 18 Jan 2024 07:31:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=39039012</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=39039012</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39039012</guid></item><item><title><![CDATA[New comment by Bayes7 in "Simplifying Transformer Blocks"]]></title><description><![CDATA[
<p>Okay, I see that for inference. But for training it shouldn't matter because I need to hold on to all my activations for my backwards pass anyways?
But yeah, fair point!</p>
]]></description><pubDate>Tue, 28 Nov 2023 11:47:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=38444747</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=38444747</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38444747</guid></item><item><title><![CDATA[New comment by Bayes7 in "Simplifying Transformer Blocks"]]></title><description><![CDATA[
<p>"[...] modern neural network (NN) architectures have complex designs with many components [...]"<p>I find the Transformer architecture actually very simple compared to previous models like LSTMs or other recurrent models. You could argue that their vision counterparts like ViT are conceptually maybe even simpler than ConvNets?<p>Also, can someone explain why they are so keen to remove the skip connections? At least when it comes to coding, nothing is simpler than adding a skip connection and computationally the effect should be marginal?</p>
]]></description><pubDate>Tue, 28 Nov 2023 08:41:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=38443677</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=38443677</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38443677</guid></item><item><title><![CDATA[New comment by Bayes7 in "Show HN: Terminal Based Wikipedia"]]></title><description><![CDATA[
<p>ah I see, cool thanks!</p>
]]></description><pubDate>Mon, 13 Mar 2023 11:57:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=35134436</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=35134436</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=35134436</guid></item><item><title><![CDATA[New comment by Bayes7 in "Show HN: Terminal Based Wikipedia"]]></title><description><![CDATA[
<p>hey, off topic but can you explain or link a post which explains what the benefits of the alias -> function definition are over just defining the function directly?
Thanks!</p>
]]></description><pubDate>Sun, 12 Mar 2023 22:47:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=35127411</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=35127411</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=35127411</guid></item><item><title><![CDATA[New comment by Bayes7 in "Anki and GPT-3"]]></title><description><![CDATA[
<p>Very cool!
However, I often feel like the process of generating the question/answer necessary for the Anki card is an important part of the learning process because it forces you do deeply think about the material and reflect on it. So I think there is a trade-off involved</p>
]]></description><pubDate>Thu, 02 Feb 2023 08:01:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=34623586</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=34623586</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=34623586</guid></item><item><title><![CDATA[New comment by Bayes7 in "Ask HN: What's the best lecture series you've seen?"]]></title><description><![CDATA[
<p>Robert Sapolsky's Human Behavioural Biology [0]
It's like a (good) netflix series you can binge watch!<p>[0] - <a href="https://www.youtube.com/watch?v=NNnIGh9g6fA&list=PL150326949691B199">https://www.youtube.com/watch?v=NNnIGh9g6fA&list=PL150326949...</a></p>
]]></description><pubDate>Tue, 31 Jan 2023 07:35:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=34592383</link><dc:creator>Bayes7</dc:creator><comments>https://news.ycombinator.com/item?id=34592383</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=34592383</guid></item></channel></rss>