<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: f0ti</title><link>https://news.ycombinator.com/user?id=f0ti</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 30 Apr 2026 10:11:27 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=f0ti" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by f0ti in "TimeCapsuleLLM: LLM trained only on data from 1800-1875"]]></title><description><![CDATA[
<p>Einstein is not AGI, and neither the other way around.</p>
]]></description><pubDate>Mon, 12 Jan 2026 23:48:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=46595719</link><dc:creator>f0ti</dc:creator><comments>https://news.ycombinator.com/item?id=46595719</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46595719</guid></item><item><title><![CDATA[New comment by f0ti in "Colorize Lidar point clouds with camera images"]]></title><description><![CDATA[
<p>Have been doing something similar to this using image to image translation (XYZ rendered images to RGB space domain). Most of the information is contained in the Z-axis which gives you the height information, e.g. helps to distinguish the grass and buildings color. However I am skeptical if the X and Y is noise and how much spatial information it provides during Conv blocks. Anyone who had previous experience on this?<p><a href="https://github.com/f0ti/thesis">https://github.com/f0ti/thesis</a></p>
]]></description><pubDate>Sat, 17 Aug 2024 17:03:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=41275957</link><dc:creator>f0ti</dc:creator><comments>https://news.ycombinator.com/item?id=41275957</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41275957</guid></item></channel></rss>