<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: derrickquinn</title><link>https://news.ycombinator.com/user?id=derrickquinn</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 03 Jul 2026 23:58:19 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=derrickquinn" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by derrickquinn in "Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction"]]></title><description><![CDATA[
<p>Asymmetry is clever. FWIW, this is very similar to the strategy employed by BitNet models (i.e., int8 activations with binary or ternary weights); I suspect retrieval is a little more amenable to this approach.<p>In principle, binary x binary <i>should</i> be pretty fast since it just requires bitwise XNOR and popcount/reduction, but in practice it's slow unless you've really optimized it. And, as stated in the article, you'd still be losing a lot of accuracy that way.</p>
]]></description><pubDate>Thu, 02 Jul 2026 16:27:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763829</link><dc:creator>derrickquinn</dc:creator><comments>https://news.ycombinator.com/item?id=48763829</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763829</guid></item></channel></rss>