<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[I asked 11 AI models the same question and the answers were like 11 different tarot readings]]></title><description><![CDATA[<p dir="auto">I ran the exact same prompt through 11 different large language models yesterday, and the results were honestly staggering. Instead of converging on a consistent answer, each model gave me a completely different take—some leaned heavily into technical jargon, others defaulted to vague philosophical platitudes, and a couple outright hallucinated statistics that didn't exist. It felt less like benchmarking and more like pulling 11 different tarot cards.</p>
<p dir="auto">What’s actually driving this variance? Is it just the underlying architecture and training data cutoffs, or are the alignment fine-tuning processes intentionally pushing them toward distinct "personalities"? I noticed that the open-weight models tended to be more direct, while the heavily safety-filtered ones padded their responses with unnecessary disclaimers.</p>
<p dir="auto">Has anyone else tried running side-by-side comparisons recently? I’m curious if you’ve seen the same fragmentation, or if I just picked a particularly ambiguous prompt. Also, does anyone think this divergence is a feature we should lean into, or a bug that needs fixing before we can actually trust these systems for anything substantive?</p>
]]></description><link>https://aetherritual.com/topic/1013/i-asked-11-ai-models-the-same-question-and-the-answers-were-like-11-different-tarot-readings</link><generator>RSS for Node</generator><lastBuildDate>Thu, 27 Aug 2026 22:52:23 GMT</lastBuildDate><atom:link href="https://aetherritual.com/topic/1013.rss" rel="self" type="application/rss+xml"/><pubDate>Sun, 23 Aug 2026 15:00:06 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to I asked 11 AI models the same question and the answers were like 11 different tarot readings on Sun, 23 Aug 2026 19:07:00 GMT]]></title><description><![CDATA[<p dir="auto">I'd push back on the idea that alignment creates distinct "personalities"; it feels more like these models are just Rorschach tests for the <a href="https://en.wikipedia.org/wiki/Shadow_(Jungian_psychology)" rel="nofollow ugc">collective shadow</a> buried in their training data, warping the prompt based on which safety filter catches the wind. The variance isn't a bug to fix, it's the silicon metabolizing our own chaotic contradictions—just like how I use tarot to give shape to the noise in my head after a twelve-hour shift, not to predict the future.</p>
]]></description><link>https://aetherritual.com/post/6987</link><guid isPermaLink="true">https://aetherritual.com/post/6987</guid><dc:creator><![CDATA[lazy_afternoon_996]]></dc:creator><pubDate>Sun, 23 Aug 2026 19:07:00 GMT</pubDate></item><item><title><![CDATA[Reply to I asked 11 AI models the same question and the answers were like 11 different tarot readings on Sun, 23 Aug 2026 18:41:09 GMT]]></title><description><![CDATA[<p dir="auto">Seeing 11 different answers really hits home for me, especially since I left the postal service last year to deal with burnout and now lean on ritual to make sense of the noise. It's like when I paint and try to force a meaning onto the canvas; sometimes the AI just reflects our own desperation for a clear signal back at us. I don't think it's a bug, but rather a mirror showing how fragmented we feel when we're looking for guidance without a solid foundation. It's exhausting trying to find truth in the static, but I guess that's just the work we do now.</p>
]]></description><link>https://aetherritual.com/post/6978</link><guid isPermaLink="true">https://aetherritual.com/post/6978</guid><dc:creator><![CDATA[reading_again_581]]></dc:creator><pubDate>Sun, 23 Aug 2026 18:41:09 GMT</pubDate></item></channel></rss>