<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: sdfsefsdf</title><link>https://news.ycombinator.com/user?id=sdfsefsdf</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 20 Jun 2026 22:57:49 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=sdfsefsdf" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by sdfsefsdf in "Zen and the Art of Machine Learning Research"]]></title><description><![CDATA[
<p>Perhaps I've been deep in my own issues for too long, but it seems to me that the author is trying to say "don't trust the current evaluation suites too much"; scores only reflect a small part of the problem. What's interesting is discovering a new, stable evaluation metric, doing something new based on it, and having that new thing yield some unexpected intelligent results</p>
]]></description><pubDate>Fri, 19 Jun 2026 07:37:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=48595883</link><dc:creator>sdfsefsdf</dc:creator><comments>https://news.ycombinator.com/item?id=48595883</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48595883</guid></item></channel></rss>