<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: ilnmtlbnm</title><link>https://news.ycombinator.com/user?id=ilnmtlbnm</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 11 Sep 2026 13:42:53 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=ilnmtlbnm" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by ilnmtlbnm in "The Deathray: A simple way for an untrusted site to freeze a Mac"]]></title><description><![CDATA[
<p>Amazing!<p>I encountered the same type of death freeze when trying (and failing) to run models in browser tabs, but didn't spend much time trying to understand how severe it is.<p>Hope they don't disable WebGPU...</p>
]]></description><pubDate>Thu, 10 Sep 2026 20:00:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=49649439</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=49649439</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49649439</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Reasoning models produce fractals when asked to solve hard problems"]]></title><description><![CDATA[
<p>"reasoning models are dynamical systems with fractal basins"</p>
]]></description><pubDate>Thu, 10 Sep 2026 19:50:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=49649315</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=49649315</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49649315</guid></item><item><title><![CDATA[Reasoning models produce fractals when asked to solve hard problems]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/GilpinLab/loopscape">https://github.com/GilpinLab/loopscape</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49649314">https://news.ycombinator.com/item?id=49649314</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Thu, 10 Sep 2026 19:50:13 +0000</pubDate><link>https://github.com/GilpinLab/loopscape</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=49649314</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49649314</guid></item><item><title><![CDATA[Printing Gaussian Splats]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.patreon.com/DanyBittel/posts/printing-splats-161333338">https://www.patreon.com/DanyBittel/posts/printing-splats-161333338</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48618481">https://news.ycombinator.com/item?id=48618481</a></p>
<p>Points: 375</p>
<p># Comments: 46</p>
]]></description><pubDate>Sun, 21 Jun 2026 12:49:02 +0000</pubDate><link>https://www.patreon.com/DanyBittel/posts/printing-splats-161333338</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=48618481</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48618481</guid></item><item><title><![CDATA[An Engineer's Day at Dust]]></title><description><![CDATA[
<p>Article URL: <a href="https://dust.tt/blog/an-engineers-day-at-dust">https://dust.tt/blog/an-engineers-day-at-dust</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47895456">https://news.ycombinator.com/item?id=47895456</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 24 Apr 2026 20:39:07 +0000</pubDate><link>https://dust.tt/blog/an-engineers-day-at-dust</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=47895456</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47895456</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Show HN: Three new Kitten TTS models – smallest less than 25MB"]]></title><description><![CDATA[
<p>I've got a cli version that's about 60MB total, no dependencies, including the (nano, for now, will add tiny soon) model -> <a href="https://github.com/idle-intelligence/tts-web" rel="nofollow">https://github.com/idle-intelligence/tts-web</a></p>
]]></description><pubDate>Mon, 23 Mar 2026 16:44:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=47491916</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=47491916</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47491916</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Show HN: Three new Kitten TTS models – smallest less than 25MB"]]></title><description><![CDATA[
<p>Not sure I understand what you're asking: there are faster than realtime models that you can use, locally or as APIs.</p>
]]></description><pubDate>Mon, 23 Mar 2026 16:41:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=47491886</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=47491886</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47491886</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Show HN: Three new Kitten TTS models – smallest less than 25MB"]]></title><description><![CDATA[
<p>I've been playing with running small models in browser tabs for some time, and finally decided to open some of it.<p>Added kitten (nano only, for now, will move on to mini) to my "web tts thing": <a href="https://github.com/idle-intelligence/tts-web" rel="nofollow">https://github.com/idle-intelligence/tts-web</a><p>demo: <a href="https://idle-intelligence.github.io/tts-web/web/" rel="nofollow">https://idle-intelligence.github.io/tts-web/web/</a></p>
]]></description><pubDate>Mon, 23 Mar 2026 16:39:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=47491837</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=47491837</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47491837</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Unmute: Make LLMs Listen and Speak"]]></title><description><![CDATA[
<p>low latency speech-to-text -> LLM -> text-to-speech</p>
]]></description><pubDate>Tue, 27 May 2025 18:44:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=44109611</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=44109611</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44109611</guid></item><item><title><![CDATA[Unmute: Make LLMs Listen and Speak]]></title><description><![CDATA[
<p>Article URL: <a href="https://kyutai.org/2025/05/22/unmute.html">https://kyutai.org/2025/05/22/unmute.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44109610">https://news.ycombinator.com/item?id=44109610</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 27 May 2025 18:44:38 +0000</pubDate><link>https://kyutai.org/2025/05/22/unmute.html</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=44109610</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44109610</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "MRML is now MIT licensed"]]></title><description><![CDATA[
<p>From the readme:<p>"This project is a reimplementation of the nice MJML markup language in Rust."</p>
]]></description><pubDate>Sun, 24 Mar 2024 19:25:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=39809585</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=39809585</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39809585</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Is anybody still using Windows 95?"]]></title><description><![CDATA[
<p>Take a look at : <a href="https://www.softwareheritage.org/" rel="nofollow">https://www.softwareheritage.org/</a> 
They've made it their mission to collect and preserve source code.</p>
]]></description><pubDate>Wed, 09 Sep 2020 08:25:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=24418687</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=24418687</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24418687</guid></item><item><title><![CDATA[Awesome Engineering Team Management]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/kdeldycke/awesome-management">https://github.com/kdeldycke/awesome-management</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22222862">https://news.ycombinator.com/item?id=22222862</a></p>
<p>Points: 13</p>
<p># Comments: 2</p>
]]></description><pubDate>Mon, 03 Feb 2020 10:05:11 +0000</pubDate><link>https://github.com/kdeldycke/awesome-management</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=22222862</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22222862</guid></item><item><title><![CDATA[New comment by ilnmtlbnm in "Understanding Text with Bert"]]></title><description><![CDATA[
<p>This is part 2 of a post on "Building a machine reading comprehension system using the latest advances in deep learning for NLP".<p>It uses HugginFace's BERT PyTorch implementation to do  question answering.<p>Part 1 was submitted here : <a href="https://news.ycombinator.com/item?id=20820016" rel="nofollow">https://news.ycombinator.com/item?id=20820016</a></p>
]]></description><pubDate>Tue, 10 Sep 2019 14:03:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=20928281</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=20928281</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=20928281</guid></item><item><title><![CDATA[Understanding Text with Bert]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.scaleway.com/2019/understanding-text-with-bert/">https://blog.scaleway.com/2019/understanding-text-with-bert/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=20926501">https://news.ycombinator.com/item?id=20926501</a></p>
<p>Points: 7</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 10 Sep 2019 09:39:04 +0000</pubDate><link>https://blog.scaleway.com/2019/understanding-text-with-bert/</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=20926501</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=20926501</guid></item><item><title><![CDATA[Natural Language Processing: The Age of Transformers]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.scaleway.com/2019/building-a-machine-reading-comprehension-system-using-the-latest-advances-in-deep-learning-for-nlp/">https://blog.scaleway.com/2019/building-a-machine-reading-comprehension-system-using-the-latest-advances-in-deep-learning-for-nlp/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=20820016">https://news.ycombinator.com/item?id=20820016</a></p>
<p>Points: 200</p>
<p># Comments: 24</p>
]]></description><pubDate>Wed, 28 Aug 2019 14:20:56 +0000</pubDate><link>https://blog.scaleway.com/2019/building-a-machine-reading-comprehension-system-using-the-latest-advances-in-deep-learning-for-nlp/</link><dc:creator>ilnmtlbnm</dc:creator><comments>https://news.ycombinator.com/item?id=20820016</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=20820016</guid></item></channel></rss>