<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: nicogentile</title><link>https://news.ycombinator.com/user?id=nicogentile</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 13 Sep 2026 09:44:41 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=nicogentile" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by nicogentile in "Alibaba to ban Claude Code in workplace over alleged backdoor risks, source says"]]></title><description><![CDATA[
<p>Seems that we are finally moving to the next stage in LLM's. not only customize based on old searches but also targeted you based on non disclose data. Its basically the same flow we had years ago with ads in social media.<p>Interesting to notice that we can do the same with these models.</p>
]]></description><pubDate>Fri, 03 Jul 2026 14:32:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=48775555</link><dc:creator>nicogentile</dc:creator><comments>https://news.ycombinator.com/item?id=48775555</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48775555</guid></item><item><title><![CDATA[New comment by nicogentile in "When AI Builds Itself: Our progress toward recursive self-improvement"]]></title><description><![CDATA[
<p>The article seems nice and elegant but i dont get much of the point. The visual is super elegant but this is the kind of note where after 6 months we are going to see some shitty result and we are going to come back here and blame the IA.
Hope doesnt happened.</p>
]]></description><pubDate>Fri, 05 Jun 2026 13:59:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=48412686</link><dc:creator>nicogentile</dc:creator><comments>https://news.ycombinator.com/item?id=48412686</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48412686</guid></item></channel></rss>