<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: Daffrin</title><link>https://news.ycombinator.com/user?id=Daffrin</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 29 Apr 2026 16:02:43 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=Daffrin" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by Daffrin in "Types and Neural Networks"]]></title><description><![CDATA[
<p>The connection between type systems and neural net structure is underexplored in practice. One thing I'd add: when you're dealing with multi-modal inputs in production — say, mixed structured and unstructured content — the type-safety problem compounds. You end up with implicit contracts at inference boundaries that are very hard to enforce.<p>Has the author written anything on how this applies to transformer architectures specifically? The attention mechanism seems like a place where a richer type theory would be genuinely useful.</p>
]]></description><pubDate>Tue, 21 Apr 2026 11:46:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=47847457</link><dc:creator>Daffrin</dc:creator><comments>https://news.ycombinator.com/item?id=47847457</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47847457</guid></item></channel></rss>