<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: theRealEros</title><link>https://news.ycombinator.com/user?id=theRealEros</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 22 Sep 2026 03:52:08 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=theRealEros" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by theRealEros in "GPT-6 Astra Solves a WWI German Radio Cipher"]]></title><description><![CDATA[
<p>Agents are spoiling all the fun of these cyphers. Change my mind</p>
]]></description><pubDate>Sat, 19 Sep 2026 11:20:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=49765566</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=49765566</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49765566</guid></item><item><title><![CDATA[New comment by theRealEros in "Laws of Software Engineering"]]></title><description><![CDATA[
<p>Check this out! <a href="https://github.com/theElandor/lose_law" rel="nofollow">https://github.com/theElandor/lose_law</a></p>
]]></description><pubDate>Tue, 28 Apr 2026 08:26:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=47931812</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=47931812</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47931812</guid></item><item><title><![CDATA[New comment by theRealEros in "Show HN: I modeled the Voynich Manuscript with SBERT to test for structure"]]></title><description><![CDATA[
<p>I feel like we are missing an important point...the transformer model that has been used here is trained on known languages. This means it cannot extract meaningful embeddings from a text in a unknown language...are the plots just noise then?</p>
]]></description><pubDate>Wed, 28 May 2025 16:35:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=44117794</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=44117794</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44117794</guid></item><item><title><![CDATA[A Python framework for Distributed Algorithm research]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/theElandor/Nodes">https://github.com/theElandor/Nodes</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42602953">https://news.ycombinator.com/item?id=42602953</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Sun, 05 Jan 2025 16:41:50 +0000</pubDate><link>https://github.com/theElandor/Nodes</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=42602953</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42602953</guid></item><item><title><![CDATA[Everybody Codes Challenge]]></title><description><![CDATA[
<p>Article URL: <a href="https://everybody.codes/home">https://everybody.codes/home</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42134750">https://news.ycombinator.com/item?id=42134750</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 14 Nov 2024 10:18:46 +0000</pubDate><link>https://everybody.codes/home</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=42134750</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42134750</guid></item><item><title><![CDATA[New comment by theRealEros in "Tutorial on autoencoders and generative models [pdf]"]]></title><description><![CDATA[
<p>A easy to follow tutorial on autoencoders and 
generative models (variational autoencoders)!</p>
]]></description><pubDate>Tue, 23 Jan 2024 17:32:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=39106577</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=39106577</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39106577</guid></item><item><title><![CDATA[Tutorial on autoencoders and generative models [pdf]]]></title><description><![CDATA[
<p>Article URL: <a href="https://theelandor.github.io/prova/autoencoders.pdf">https://theelandor.github.io/prova/autoencoders.pdf</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=39106575">https://news.ycombinator.com/item?id=39106575</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 23 Jan 2024 17:32:55 +0000</pubDate><link>https://theelandor.github.io/prova/autoencoders.pdf</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=39106575</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39106575</guid></item><item><title><![CDATA[New comment by theRealEros in "Convolutional Networks made easy [pdf]"]]></title><description><![CDATA[
<p>Quick summary on the basics of convolutional networks, taken from my Machine Learning and Deep  Learning university notes.</p>
]]></description><pubDate>Wed, 10 Jan 2024 10:12:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=38938488</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=38938488</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38938488</guid></item><item><title><![CDATA[Convolutional Networks made easy [pdf]]]></title><description><![CDATA[
<p>Article URL: <a href="https://theelandor.github.io/prova/cnn_notes.pdf">https://theelandor.github.io/prova/cnn_notes.pdf</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38938487">https://news.ycombinator.com/item?id=38938487</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 10 Jan 2024 10:12:57 +0000</pubDate><link>https://theelandor.github.io/prova/cnn_notes.pdf</link><dc:creator>theRealEros</dc:creator><comments>https://news.ycombinator.com/item?id=38938487</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38938487</guid></item></channel></rss>