<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: 345f506fdc718</title><link>https://news.ycombinator.com/user?id=345f506fdc718</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 22 Jul 2026 22:12:41 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=345f506fdc718" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by 345f506fdc718 in "China's open-weights AI strategy is winning"]]></title><description><![CDATA[
<p>Maybe it got a lot less and I just got used to it. True.<p>Still feels too much for me. Breaks my workflow for no reason. Too much overhead for me, if I can't trust the output</p>
]]></description><pubDate>Mon, 20 Jul 2026 19:25:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=48983675</link><dc:creator>345f506fdc718</dc:creator><comments>https://news.ycombinator.com/item?id=48983675</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48983675</guid></item><item><title><![CDATA[New comment by 345f506fdc718 in "China’s open-weights AI strategy is winning"]]></title><description><![CDATA[
<p>> 15 months ago, the top model on the Artificial Analysis index was GPT-o3. It scores 30 on the Artificial Analysis index.<p>There must be something really of with those benchmarks. Yes, hallucinations gotten better, but I don't see that the big frontier models got so much better in the last 12-18 Months. They just put out bigger wall of texts and feel smarter. But they still make way too many stupid errors</p>
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