<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Phos on AIBussin — AI applications, systems and books</title><link>https://aibussin.com/tags/phos/</link><description>Recent content in Phos on AIBussin — AI applications, systems and books</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 09 Oct 2025 00:30:36 +0100</lastBuildDate><atom:link href="https://aibussin.com/tags/phos/index.xml" rel="self" type="application/rss+xml"/><item><title>🔦 Phōs: Visualizing How AI Learns and How to Build It Yourself</title><link>https://aibussin.com/post/phos/</link><pubDate>Thu, 09 Oct 2025 00:30:36 +0100</pubDate><guid>https://aibussin.com/post/phos/</guid><description>&lt;blockquote&gt;&#10;&lt;p&gt;“The eye sees only what the mind is prepared to comprehend.” &lt;em&gt;Henri Bergson&lt;/em&gt;&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;h2 id="-we-finally-see-learning"&gt;🔍 We Finally See Learning&lt;/h2&gt;&#10;&lt;p&gt;For decades, we’ve measured artificial intelligence with numbers loss curves, accuracy scores, reward signals.&lt;br&gt;&#10;We’ve plotted progress, tuned hyperparameters, celebrated benchmarks.&lt;/p&gt;&#10;&lt;p&gt;But we’ve never actually &lt;em&gt;seen&lt;/em&gt; learning happen.&lt;/p&gt;&#10;&lt;p&gt;Not really.&lt;/p&gt;&#10;&lt;p&gt;Sure, we’ve visualized attention maps or gradient flows but those are snapshots, proxies, not processes.&lt;/p&gt;&#10;&lt;p&gt;What if we could watch understanding emerge not as a number going up, but as a pattern stabilizing across time?&lt;br&gt;&#10;What if reasoning itself left a visible trace?&lt;/p&gt;</description></item></channel></rss>