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        <title><![CDATA[Stories by Manakavoo Siva Balaji on Medium]]></title>
        <description><![CDATA[Stories by Manakavoo Siva Balaji on Medium]]></description>
        <link>https://medium.com/@sivabalajimanakavoo?source=rss-6d7cef63ad95------2</link>
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            <title>Stories by Manakavoo Siva Balaji on Medium</title>
            <link>https://medium.com/@sivabalajimanakavoo?source=rss-6d7cef63ad95------2</link>
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            <title><![CDATA[The Untold Story of AI’s Origins in the 20th Century]]></title>
            <link>https://medium.com/@sivabalajimanakavoo/the-untold-story-of-ais-origins-in-the-20th-century-b3d3fb0c3915?source=rss-6d7cef63ad95------2</link>
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            <category><![CDATA[technology]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[history]]></category>
            <dc:creator><![CDATA[Manakavoo Siva Balaji]]></dc:creator>
            <pubDate>Fri, 18 Apr 2025 14:54:25 GMT</pubDate>
            <atom:updated>2025-04-18T15:07:38.565Z</atom:updated>
            <content:encoded><![CDATA[<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*6f8DFAdbQmmlnnclfv6mWw.png" /></figure><p><strong>What if I told you artificial intelligence started before the internet, video games, or even color TVs were mainstream?</strong><br> Way before TikTok trends and robot assistants, scientists were already dreaming of thinking machines — and some were actually building them.</p><p>Let’s rewind the clock and explore the <em>less talked-about but super important</em> milestones that shaped the AI we use today.</p><h3>1. Alan Turing Was Already Thinking About AI in the 1950s</h3><p>In 1950, <strong>Alan Turing</strong>, the British mathematician (and World War II codebreaker), asked a bold question:</p><blockquote><strong><em>“Can machines think?”</em></strong></blockquote><p>In his paper <em>Computing Machinery and Intelligence</em>, Turing proposed a test: if a machine could hold a conversation that fooled a human, it might be considered intelligent.</p><blockquote><em>💬 </em>Fun fact: Turing believed that by the year 2000, machines would be able to fool humans 30% of the time in conversation. That’s eerily close to where we are now.</blockquote><h3>2. The First AI Program That Outsmarted Textbooks</h3><p>In 1956, two computer scientists — <strong>Allen Newell</strong> and <strong>Herbert Simon</strong> — created a program called <strong>Logic Theorist</strong>.</p><p>It was designed to mimic how humans solve math problems. Turns out, it was <em>really good</em> — it even found <strong>more efficient proofs</strong> than the ones published in books.</p><blockquote><em>“Logic Theorist is widely considered the first true AI program, even if hardly anyone remembers it today.”</em></blockquote><p><em>A scanned math proof from the program or portraits of Newell &amp; Simon side by side.</em></p><h3>3. ELIZA — The Therapist Chatbot That Fooled People (1966)</h3><p>Long before Siri or ChatGPT, there was <strong>ELIZA</strong> — a chatbot developed at MIT by <strong>Joseph Weizenbaum</strong>. It mimicked a psychotherapist using simple pattern matching.</p><p>Here’s what a chat looked like:</p><pre>User: I&#39;m feeling down.<br>ELIZA: Why are you feeling down?</pre><p>Even though it didn’t understand anything, users opened up to it — some even got emotionally attached.</p><blockquote>Weizenbaum was shocked. He built ELIZA to show the <strong>limitations</strong> of AI, not its magic.</blockquote><h3>4. The Expert Systems Era — When Businesses Used AI (1980s)</h3><p>In the 1980s, <strong>“Expert Systems”</strong> became a big deal. These programs stored human knowledge in the form of rules like:</p><pre>(if (has-symptom patient fever)<br>    (suggest test blood-culture))</pre><p>One system called <strong>MYCIN</strong> could diagnose bacterial infections. Doctors tested it and found — <em>gasp</em> — it was more accurate than some professionals.</p><blockquote><em>These systems didn’t “learn” but could </em><strong><em>replicate expert decision-making</em></strong><em> surprisingly well.</em></blockquote><h3>5. The AI Winter: When Things Got… Quiet</h3><p>Despite the hype, AI couldn’t deliver on all its promises. By the late 1980s, funding dried up. Researchers called this the <strong>AI Winter</strong>.</p><p>But behind the scenes, new ideas were bubbling up — ones that wouldn’t rely on hand-coded rules.</p><blockquote><em>The failure of symbolic AI made way for a new kind of thinking: </em><strong><em>“Let’s teach machines to learn like humans do.”</em></strong></blockquote><p>And that changed everything.</p><h3>6. The AI That Learned to Play by Itself</h3><p>In 1992, a program called <strong>TD-Gammon</strong> learned how to play <strong>Backgammon</strong> using something called <strong>reinforcement learning</strong>.</p><p>It didn’t follow programmed rules — it just played <strong>millions of games against itself</strong>, learning what worked and what didn’t.</p><blockquote><em>This was one of the first programs that truly </em><strong><em>learned from experience</em></strong><em> — a huge step toward modern machine learning.</em></blockquote><h3>7. A Few More Hidden Gems from the 20th Century</h3><p>Here are some quick, <strong>“wait, really?”</strong> facts:</p><ul><li>🧠 In 1958, <strong>Frank Rosenblatt</strong> built the <strong>Perceptron</strong>, an early neural network model that ran on punch cards!</li><li>🇯🇵 In the 1980s, <strong>Japan launched a $1 billion AI research project</strong> to build machines that could reason like humans. It failed, but it pressured the U.S. to invest more.</li><li>♟️ Chess was once seen as the ultimate test of AI. When IBM’s <strong>Deep Blue</strong> beat world champion Garry Kasparov in 1997, it marked a turning point.</li></ul><h3>Why Should We Care About This Old Stuff?</h3><p>Because the AI we use today — from Netflix recommendations to voice assistants — didn’t appear out of nowhere. It’s built on <strong>decades of weird experiments, failures, and breakthroughs</strong> most people have never heard of.</p><blockquote><em>If Turing, ELIZA, or MYCIN never happened, we might not have ChatGPT today.</em></blockquote><p>So, the next time you use an AI tool, give a little mental fist bump to the researchers and engineers who built the groundwork <em>before it was cool</em>.</p><h3>Want more weird AI history?</h3><p>Let me know in the comments — I’ve got stories about chess battles, talking robots from the ’70s, and early AI art experiments no one talks about.</p><img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=b3d3fb0c3915" width="1" height="1" alt="">]]></content:encoded>
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