<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: accCer</title><link>https://news.ycombinator.com/user?id=accCer</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 30 Apr 2026 19:04:08 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=accCer" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by accCer in "Cursor Camp"]]></title><description><![CDATA[
<p>It was fun rick rolling you all on the piano. Vibe coded a little script that would play all kinds of melodies including rick roll. I eventually attracted a whole audience of cursors emoji reacting to it.</p>
]]></description><pubDate>Wed, 29 Apr 2026 23:53:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=47956234</link><dc:creator>accCer</dc:creator><comments>https://news.ycombinator.com/item?id=47956234</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47956234</guid></item><item><title><![CDATA[New comment by accCer in "Surprisingly fast AI-generated kernels we didn't mean to publish yet"]]></title><description><![CDATA[
<p>It depends on which human feedback was used to train the model. For humans, there are various communication models like the four-sides model. If the dataset has annotations for the specific facets of the communication model, then an LLM trained on this dataset will have specific probabilities that replicate that communication model. You may call this understanding what the prompter says, but it's just replication for me.</p>
]]></description><pubDate>Sat, 31 May 2025 22:07:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=44147254</link><dc:creator>accCer</dc:creator><comments>https://news.ycombinator.com/item?id=44147254</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44147254</guid></item></channel></rss>