<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: sognetic</title><link>https://news.ycombinator.com/user?id=sognetic</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 03 Jul 2026 23:58:12 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=sognetic" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by sognetic in "Kimi K2.7 Code is generally available in GitHub Copilot"]]></title><description><![CDATA[
<p>Enterprises still have big contracts with github, those companies are imposing tight spending limits now and if the open weight models enable those limits to last a bit longer that's probably quite popular.</p>
]]></description><pubDate>Thu, 02 Jul 2026 06:55:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=48757513</link><dc:creator>sognetic</dc:creator><comments>https://news.ycombinator.com/item?id=48757513</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48757513</guid></item><item><title><![CDATA[New comment by sognetic in "Furiosa: 3.5x efficiency over H100s"]]></title><description><![CDATA[
<p>Everything is currently pointing towards inference being the main cost driver for LLMs in the future. Test-time-compute requires huge amounts of tokens in inference and makes providing frontier models as services unprofitable.<p>Anyone not under some kind of export restrictions can scrounge together some GPUs to train a frontier model (hell, even DeepSeek which is under these restrictions could) but providing a service that can compete with OpenAI et al. will prove to be quite costly. 3x improvements in inference are therefore nothing to sneeze at IMO.</p>
]]></description><pubDate>Thu, 15 Jan 2026 09:25:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=46630164</link><dc:creator>sognetic</dc:creator><comments>https://news.ycombinator.com/item?id=46630164</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46630164</guid></item><item><title><![CDATA[New comment by sognetic in "Show HN: 30k IKEA items in flat text"]]></title><description><![CDATA[
<p>Interesting! So did you do any experiments on a relevant subset of the data to test whether LLM performance degrades by introducing a new, presumably unknown to the LLM, format?</p>
]]></description><pubDate>Mon, 12 Jan 2026 14:07:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=46588691</link><dc:creator>sognetic</dc:creator><comments>https://news.ycombinator.com/item?id=46588691</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46588691</guid></item><item><title><![CDATA[New comment by sognetic in "The importance of offtopic"]]></title><description><![CDATA[
<p>Accepting the possibility of committing the old "solving social problems with technological solutions" fallacy:
I wonder if an offtopic channel without history (or only a very limited one) could help here. Something that prevents management from scrolling up to identify the people who post too much. In my company I wouldn't even expect that (surveillance) to happen or have consequences but I always have the possibility in the back of my mind.</p>
]]></description><pubDate>Sun, 10 Aug 2025 10:16:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=44854140</link><dc:creator>sognetic</dc:creator><comments>https://news.ycombinator.com/item?id=44854140</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44854140</guid></item></channel></rss>