<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI Explained</title><link>https://aivisualized.com/</link><description>AI videos and source-backed stories by Anita Kirkovska.</description><item><title>OpenAI’s ETH claim: what it means for P vs NP</title><link>https://aivisualized.com/articles/ojSe4sOL20A/</link><guid>https://aivisualized.com/articles/ojSe4sOL20A/</guid><description>OpenAI says its AI has refuted the Exponential Time Hypothesis. If the result holds up, it changes a major assumption about hard computing problems. It does not settle P vs NP or promise faster software today.</description><pubDate>Sat, 31 Oct 2026 05:40:00 GMT</pubDate></item><item><title>Anthropic’s IPO: why an $80.7 billion loss needs context</title><link>https://aivisualized.com/articles/jdumOwuk8A4/</link><guid>https://aivisualized.com/articles/jdumOwuk8A4/</guid><description>Anthropic’s S-1 reports $16.3 billion in revenue and an $80.7 billion net loss for the first half of 2026. A $72.4 billion fair-value charge explains much of the gap. Understanding it requires separating accounting losses, operating performance, and cash.</description><pubDate>Sat, 31 Oct 2026 05:40:00 GMT</pubDate></item><item><title>Is AI overhyped? Start with the work people are actually doing</title><link>https://aivisualized.com/articles/m_5_FLl_V4Q/</link><guid>https://aivisualized.com/articles/m_5_FLl_V4Q/</guid><description>A casual chatbot user and someone building software with an agent can give opposite verdicts on AI. Andrej Karpathy’s adoption funnel helps explain the gap. The useful test is whether a specific tool improves a task you can evaluate.</description><pubDate>Sat, 31 Oct 2026 05:40:00 GMT</pubDate></item></channel></rss>