<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: erikkahler</title><link>https://news.ycombinator.com/user?id=erikkahler</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 22 Jul 2026 22:12:46 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=erikkahler" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by erikkahler in "Nativ: Run frontier open models locally on your Mac"]]></title><description><![CDATA[
<p>To clarify, this MIT-licensed app is from the very same dev, 'Prince Canuma', who maintains the popular MLX-VLM library (<a href="https://github.com/Blaizzy/mlx-vlm" rel="nofollow">https://github.com/Blaizzy/mlx-vlm</a>).  MLX-VLM is a long-time dependency of the excellent LM Studio and others because it can provide faster inference on Apple devices than llama.cpp.  Historically, MLX is a smaller community than CUDA, but has some of the fastest updates upon the release of new models, particularly in models with modalities beyond text-in, text-out (vision, STT, TTS, video gen).  See also (<a href="https://github.com/Blaizzy/mlx-audio-swift" rel="nofollow">https://github.com/Blaizzy/mlx-audio-swift</a>).  Would be totally unsurprised if those modalities and models get integrated into this UI.<p>Possibly vibe-coded landing page notwithstanding, the app is mostly written in Swift language.  That suggests it will be easy to port this inference stack to iPad and iPhone.</p>
]]></description><pubDate>Mon, 20 Jul 2026 20:51:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=48984710</link><dc:creator>erikkahler</dc:creator><comments>https://news.ycombinator.com/item?id=48984710</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48984710</guid></item></channel></rss>