<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: octomind</title><link>https://news.ycombinator.com/user?id=octomind</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 20 Oct 2026 10:27:40 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=octomind" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by octomind in "Muse Spark Open"]]></title><description><![CDATA[
<p>Finally democratizing AI access to, checks notes, people with no less than two Apple M5 Ultra Studios on their desktop.</p>
]]></description><pubDate>Thu, 15 Oct 2026 20:13:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=50109599</link><dc:creator>octomind</dc:creator><comments>https://news.ycombinator.com/item?id=50109599</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50109599</guid></item><item><title><![CDATA[New comment by octomind in "From GPT-4 to GPT-5: Measuring progress through MedHELM [pdf]"]]></title><description><![CDATA[
<p>It can be simultaneously true that human understanding is just a firing of neurons but that the architecture and function of those neural structures is vastly different than what an LLM is doing internally such that they are not really the same. Encourage you to read Apple’s recent paper on thinking models; I think it’s pretty clear that the way LLMs encode the world is drastically inferior to what the human brain does. I also believe that could be fixed with the right technical improvements, but it just isn’t the case today.</p>
]]></description><pubDate>Fri, 22 Aug 2025 02:36:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=44980489</link><dc:creator>octomind</dc:creator><comments>https://news.ycombinator.com/item?id=44980489</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44980489</guid></item></channel></rss>