<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: aldebaran1</title><link>https://news.ycombinator.com/user?id=aldebaran1</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 02 May 2026 09:02:41 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=aldebaran1" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by aldebaran1 in "Where the goblins came from"]]></title><description><![CDATA[
<p>>That we did not know how steel behaved under low temperatures in building ship husks does not make it unpredictable.<p>Yes it does. Or rather, 'steel as used in shipbuilding' is unpredictable (a pedantic distinction). If the properties of steel were fully understood then someone would have identified the brittle fracture concern. They did not, hence the steel-ship system behavior was not predicted. Whether it was /predictable/ is a exercise in hindsight.<p>>Unpredictability would be if steel behaved fine in 2 ships, cracked in 3 ships under low pressure for becoming brittle, in another ship it turned into gelatine, and in another it behaved fine but gained a pink color.<p>That's not how LLMs work either. If you could control all the parameters that go into training and using an LLM, they would be predictable in the same sense (in theory, given enough time to analyze inputs/outputs given fixed process parameters).<p>Also steel does in fact behave probabilistically, for example in the distribution of assumed pre-existing flaw sizes in castings which are very important for the structural performance. Not all liberty ships cracked.</p>
]]></description><pubDate>Thu, 30 Apr 2026 14:29:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=47963066</link><dc:creator>aldebaran1</dc:creator><comments>https://news.ycombinator.com/item?id=47963066</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47963066</guid></item><item><title><![CDATA[New comment by aldebaran1 in "Digital Red Queen: Adversarial Program Evolution in Core War with LLMs"]]></title><description><![CDATA[
<p>Very interesting paper, thank you. It makes me wonder what other game substrates could form the basis for adversarial/evolutionary strategy optimization for LLMs, and whether these observations replicate across games.<p>Since LLMs are text based, a text-based game might be interesting. Something like Nomic?<p>Or a "meme warfare" game where each agent tries to prompt-inject its adversaries into saying a forbidden codeword, and can modify its own system prompt to attempt to prevent that from happening to itself.</p>
]]></description><pubDate>Thu, 08 Jan 2026 21:38:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=46546855</link><dc:creator>aldebaran1</dc:creator><comments>https://news.ycombinator.com/item?id=46546855</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46546855</guid></item></channel></rss>