<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: grd_dev</title><link>https://news.ycombinator.com/user?id=grd_dev</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 27 Oct 2026 11:45:36 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=grd_dev" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by grd_dev in "A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis"]]></title><description><![CDATA[
<p>Not really. I am not saying CNNs were bad in what they were doing. But comparing to a frontier model, I believe frontier models have an advantage over them. Not any other model, only frontier models. I create end to end AI/ML pipelines for clients usecases, so telling with experience.</p>
]]></description><pubDate>Tue, 27 Oct 2026 05:34:52 +0000</pubDate><link>https://news.ycombinator.com/item?id=50255047</link><dc:creator>grd_dev</dc:creator><comments>https://news.ycombinator.com/item?id=50255047</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50255047</guid></item><item><title><![CDATA[New comment by grd_dev in "A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis"]]></title><description><![CDATA[
<p>This is interesting. Honestly, I never thought this day would come that an older CNN is outperforming a frontier LLM. Guess there is just so much more to learn and optimize in this tech work which is always hyped for the next biggest model.</p>
]]></description><pubDate>Mon, 26 Oct 2026 13:15:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=50243079</link><dc:creator>grd_dev</dc:creator><comments>https://news.ycombinator.com/item?id=50243079</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50243079</guid></item></channel></rss>