<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on C.CUI's Log</title><link>https://cuicaihao.github.io/tags/ai/</link><description>Recent content in AI on C.CUI's Log</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Thu, 14 May 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Tacit Knowledge: The (Hopefully) Irreplaceable Skill in the AI Era</title><link>https://cuicaihao.github.io/posts/2026-05-14-tacit-knowledge-skills-ai-cant-replace/</link><pubDate>Thu, 14 May 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-05-14-tacit-knowledge-skills-ai-cant-replace/</guid><description>In the age of AI agents, can our value be distilled into a SKILL.md file? This article explores the concept of tacit knowledge, why it resists articulation and digitization, and how we can build our personal moat in an era where explicit knowledge is increasingly automated.</description></item><item><title>The Great AI Dao Debate: A Xianxia Epic of Silicon Immortality</title><link>https://cuicaihao.github.io/posts/2026-05-01-ai-dao-debate-xianxia-epic/</link><pubDate>Fri, 01 May 2026 14:30:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-05-01-ai-dao-debate-xianxia-epic/</guid><description>A deep dive into the 2026 global AI landscape through the lens of Xianxia (Chinese fantasy). This epic narrative explores the strategic rivalries between major &amp;lsquo;sects&amp;rsquo; like OpenAI, Meta, Google, Microsoft, Apple, DeepSeek, and Alibaba. It examines the fundamental &amp;lsquo;Dao&amp;rsquo; debates: Scaling Law vs. World Models, and Open-Source vs. Closed-Source, mapping the path toward AGI in an era of silicon immortality.</description></item><item><title>Breaking the Million-Token Barrier: 5 Impactful Takeaways from DeepSeek-V4</title><link>https://cuicaihao.github.io/posts/2026-04-30-breaking-million-token-barrier-deepseek-v4-takeaways/</link><pubDate>Thu, 30 Apr 2026 08:55:59 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-04-30-breaking-million-token-barrier-deepseek-v4-takeaways/</guid><description>An analysis of DeepSeek-V4&amp;rsquo;s breakthroughs in context efficiency, architectural innovation, and stability, reducing KV cache by up to 93% and enabling million-token contexts.</description></item><item><title>Power-Seeking Theorem: Why Being 'Not a Tool' is the Ultimate Growth Strategy</title><link>https://cuicaihao.github.io/posts/2026-03-25-power-seeking-theorem-junzi-bu-qi/</link><pubDate>Wed, 25 Mar 2026 10:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-03-25-power-seeking-theorem-junzi-bu-qi/</guid><description>Exploring the Power-Seeking Theorem from AI research and its connection to the ancient Chinese wisdom of &amp;lsquo;Junzi Bu Qi&amp;rsquo;. Learn why optimizing for options is the best strategy for life.</description></item><item><title>The Core: Your Three "Selves"</title><link>https://cuicaihao.github.io/posts/2026-02-06-three-selves-model-ai-analogy/</link><pubDate>Fri, 06 Feb 2026 14:59:09 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-02-06-three-selves-model-ai-analogy/</guid><description>An exploration of a three-tier model of the self—Process Self, Interface Self, and Core Self—drawing parallels with AI architectures to understand how to achieve genuine personal growth by updating internal &amp;ldquo;parameters.&amp;rdquo;</description></item></channel></rss>