<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: belluxx</title><link>https://news.ycombinator.com/user?id=belluxx</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 19 Oct 2026 03:42:29 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=belluxx" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by belluxx in "DeepSeek-v4.1-Flash-1017"]]></title><description><![CDATA[
<p>Pi is very good with open weight models (proprietary ones too)</p>
]]></description><pubDate>Sat, 17 Oct 2026 13:16:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=50130910</link><dc:creator>belluxx</dc:creator><comments>https://news.ycombinator.com/item?id=50130910</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50130910</guid></item><item><title><![CDATA[New comment by belluxx in "Watch AI materials-science and bioscience abilities closely"]]></title><description><![CDATA[
<p>Lately "one-shotting" means "without human steering / feedback"<p>I think its a consequence of the improvements in harnesses and LLMs of the last year. Before they had a hard time self-reviewing the results and proceeding to a second iteration, now they are quite good at it although not perfect.</p>
]]></description><pubDate>Mon, 14 Sep 2026 13:36:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=49696666</link><dc:creator>belluxx</dc:creator><comments>https://news.ycombinator.com/item?id=49696666</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49696666</guid></item><item><title><![CDATA[Show HN: Nanointerpret – LLM Interpretability Playground]]></title><description><![CDATA[
<p>I find LLM interpretability extremely interesting and wanted to create a minimal repo for:
- SAE training
- Automatic feature interpretation
- Visualizing features and running interventions through a GUI<p>You can try it here: <a href="https://nanointerpret.pages.dev/" rel="nofollow">https://nanointerpret.pages.dev/</a>
Or check the repo: <a href="https://github.com/Belluxx/nanointerpret" rel="nofollow">https://github.com/Belluxx/nanointerpret</a></p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49464942">https://news.ycombinator.com/item?id=49464942</a></p>
<p>Points: 5</p>
<p># Comments: 1</p>
]]></description><pubDate>Thu, 27 Aug 2026 13:52:44 +0000</pubDate><link>https://nanointerpret.pages.dev/</link><dc:creator>belluxx</dc:creator><comments>https://news.ycombinator.com/item?id=49464942</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49464942</guid></item><item><title><![CDATA[Show HN: TransFire – Chat with your local LLMs without port-forwarding]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/Belluxx/TransFire">https://github.com/Belluxx/TransFire</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45491133">https://news.ycombinator.com/item?id=45491133</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 06 Oct 2025 13:22:21 +0000</pubDate><link>https://github.com/Belluxx/TransFire</link><dc:creator>belluxx</dc:creator><comments>https://news.ycombinator.com/item?id=45491133</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45491133</guid></item><item><title><![CDATA[Show HN: Local LLM AIME benchmarking tool]]></title><description><![CDATA[
<p>I made this simple tool to compare local LLMs. Any provider that supports OpenAI-like APIs can be used (LMStudio, Llama.cpp, Ollama) but you can also use Openrouter/OpenAI if you change the base URL accordingly.<p>In my opinion it is not particularly useful for comparing different models from different companies since some models are optimized heavily on math or even trained on AIME problems.<p>However it is really useful for testing different quantizations of the same model or the same quantization from different providers.<p>Let me know what you think about it!<p>Also check the README to see some examples of the results you will get from it.</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44143720">https://news.ycombinator.com/item?id=44143720</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 31 May 2025 12:11:21 +0000</pubDate><link>https://github.com/Belluxx/LocalAIME</link><dc:creator>belluxx</dc:creator><comments>https://news.ycombinator.com/item?id=44143720</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44143720</guid></item></channel></rss>