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    <title>ML Example on Keren Wang</title>
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      <title>What Is AI? Part 2 – Demystifying AI Through Four Acts</title>
      <link>/blog/2025/12/what-is-ai-part-2-demystifying-ai-through-four-acts/</link>
      <pubDate>Mon, 01 Dec 2025 09:35:52 +0000</pubDate>
      <guid>/blog/2025/12/what-is-ai-part-2-demystifying-ai-through-four-acts/</guid>
      <description>&lt;div id=&#34;layout&#34;&gt;&lt;nav aria-label=&#34;Table of contents&#34; id=&#34;toc-container&#34;&gt;
&lt;h2&gt;&lt;span style=&#34;color: #00ccff;&#34;&gt;Table of Contents&lt;/span&gt;&lt;/h2&gt;
&lt;ul id=&#34;toc&#34;&gt;
&lt;li&gt;&lt;strong&gt;&lt;span style=&#34;color: #99ccff;&#34;&gt;&lt;a href=&#34;#introduction&#34; style=&#34;color: #99ccff;&#34;&gt;Introduction&lt;/a&gt;&lt;/span&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;span style=&#34;color: #99ccff;&#34;&gt;&lt;a href=&#34;#act-one&#34; style=&#34;color: #99ccff;&#34;&gt;Act One: AI as Metaphor and Speculative Frame for Procedural Automation (1980s–1990s)&lt;/a&gt;&lt;/span&gt;&lt;/strong&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&#34;color: #99ccff; font-size: 14pt;&#34;&gt;&lt;a href=&#34;#from-labs-everyday&#34; style=&#34;color: #99ccff;&#34;&gt;From Laboratories to Everyday Life&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&#34;color: #99ccff; font-size: 14pt;&#34;&gt;&lt;a href=&#34;#cultural-imagination&#34; style=&#34;color: #99ccff;&#34;&gt;Cultural Imagination: Between Utopian and Dystopian Frames&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;span style=&#34;color: #99ccff;&#34;&gt;&lt;a href=&#34;#act-two&#34; style=&#34;color: #99ccff;&#34;&gt;Act Two: The Machine Learning Turn (Mid 1990s–2000s)&lt;/a&gt;&lt;/span&gt;&lt;/strong&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&#34;color: #99ccff; font-size: 14pt;&#34;&gt;&lt;a href=&#34;#agentic-shift&#34; style=&#34;color: #99ccff;&#34;&gt;Agentic Shift From Static Programs to Adaptive Algorithms&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&#34;color: #99ccff; font-size: 14pt;&#34;&gt;&lt;a href=&#34;#wardrobe-recommender&#34; style=&#34;color: #99ccff;&#34;&gt;Illustrative Example: A Machine-Learning Wardrobe Recommender&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&#34;color: #99ccff; font-size: 14pt;&#34;&gt;&lt;a href=&#34;#paradoxes-ml&#34; style=&#34;color: #99ccff;&#34;&gt;Paradoxes of Machine Learning&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;span style=&#34;color: #99ccff;&#34;&gt;&lt;a href=&#34;#footnotes&#34; style=&#34;color: #99ccff;&#34;&gt;Footnotes&lt;/a&gt;&lt;/span&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/nav&gt;
&lt;figure&gt;
  &lt;img alt=&#34;Scene from the 1983 sci-fi thriller WarGames, directed by John Badham.The film dramatizes a near-catastrophe triggered by a military decision to entrust U.S. nuclear deterrence to an autonomous AI system that treats thermonuclear war as a solvable optimization problem.&#34; class=&#34;size-full wp-image-1241&#34; height=&#34;388&#34; src=&#34;/images/uploads/2025/11/WarGames-1983.gif&#34; width=&#34;660&#34;/&gt;
  &lt;figcaption&gt;&lt;span style=&#34;font-size: 12pt;&#34;&gt;&lt;strong&gt;&lt;span style=&#34;color: #ffcc99;&#34;&gt;Scene from the 1983 sci-fi thriller WarGames, directed by John Badham. &lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;span style=&#34;font-size: 12pt;&#34;&gt;&lt;span style=&#34;color: #ffcc99;&#34;&gt;The film dramatizes a near-catastrophe triggered by a military decision to entrust U.S. nuclear deterrence to an autonomous AI system that treats thermonuclear war as a solvable optimization problem. &lt;/span&gt;&lt;span style=&#34;color: #999999;&#34;&gt;Source: DVDXtras, “WarGames (1983) | Behind the Scenes,” Internet Archive, June 2, 2022. &amp;lt;&lt;a href=&#34;https://archive.org/details/youtube-5g4EdnMcDzg&#34;&gt;LINK&lt;/a&gt;&amp;gt;&lt;/span&gt;&lt;/span&gt;&lt;/figcaption&gt;
&lt;/figure&gt;
&lt;h2&gt;&lt;span style=&#34;font-size: 18pt;&#34;&gt;*Continuing from:&lt;/span&gt; &lt;span style=&#34;font-size: 18pt; color: #00ccff;&#34;&gt;&lt;em&gt;&lt;span style=&#34;color: #99ccff;&#34;&gt;&lt;a href=&#34;/blog/2025/11/a-survey-of-imaginaries-mythologies-and-rhetorical-structures-of-thinking-machines-part-1/&#34; style=&#34;color: #99ccff;&#34;&gt;“What Is AI?” Part 1: A Survey of Imaginaries, Mythologies, and Rhetorical Structures of Thinking Machines&lt;/a&gt;&lt;/span&gt;&lt;/em&gt;&lt;/span&gt;&lt;/h2&gt;
&lt;a href=&#34;/blog/2025/11/a-survey-of-imaginaries-mythologies-and-rhetorical-structures-of-thinking-machines-part-1/&#34;&gt;&lt;strong&gt;In the previous segment of our genealogical survey,&lt;/strong&gt;&lt;/a&gt; we have traced ancient imaginaries that seeded today’s visions of machine intelligence. From &lt;span style=&#34;color: #ffff99;&#34;&gt;&lt;strong&gt;Yan Shi’s mechanical performers&lt;/strong&gt;&lt;/span&gt; to &lt;span style=&#34;color: #ffff99;&#34;&gt;&lt;strong&gt;&lt;em&gt;Talos&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;’ bronze vigilance and the ritual logic of &lt;strong&gt;golems&lt;/strong&gt; and Homunculi, we explored how mythic prototypes shaped the rhetorical terrain on which “AI” would later emerge as a technological category.
&lt;p&gt;Whereas earlier societies used myth and ritual to make sense of uncanny forms of artificial agency and “thinking machines,” in this second part we turn from historical mythologies to present-day technological possibilities. The term “artificial intelligence” circulates in our cultural lifeworld with astonishing fluidity. It appears in commercials, policy reports, sci-fi movies, legal disputes, and everyday conversations. It is used to describe everything from basic computer programs to sophisticated generative models capable of complex knowledge-performance.&lt;/p&gt;</description>
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