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  <title>Ayush Nangia</title>
  <link href="https://ayushnangia.github.io/feed.xml" rel="self" />
  <link href="https://ayushnangia.github.io/" />
  <id>https://ayushnangia.github.io/</id>
  <updated>2025-03-08T00:00:00+00:00</updated>
  
  <entry>
    <title>Let&apos;s talk about A(G)I</title>
    <link href="https://ayushnangia.github.io/writing/lets-talk-about-agi/" />
    <id>https://ayushnangia.github.io/writing/lets-talk-about-agi/</id>
    <published>2025-03-08T00:00:00+00:00</published>
    <updated>2025-03-08T00:00:00+00:00</updated>
    <summary>As we race toward building increasingly powerful AI systems, we face a fundamental question: What makes intelligence truly intelligent? Is it raw computational power, the ability to mimic human behavior, or something deeper? This post explores artificial general intelligence (AGI) through three lenses: a philosophical parable, a technical analysis of human versus machine cognition, and an economic perspective on how transformative technologies reshape our world. Each offers different insights into the same fundamental question: What path should we take on the journey toward artificial general intelligence?</summary>
  </entry>
  
  <entry>
    <title>Peeking Inside the AI Brain</title>
    <link href="https://ayushnangia.github.io/writing/peeking-inside-the-ai-brain/" />
    <id>https://ayushnangia.github.io/writing/peeking-inside-the-ai-brain/</id>
    <published>2025-02-28T00:00:00+00:00</published>
    <updated>2025-02-28T00:00:00+00:00</updated>
    <summary>Introduction: Why Look Inside AI Models?</summary>
  </entry>
  
  <entry>
    <title>Encoder + Explanatory Decoder</title>
    <link href="https://ayushnangia.github.io/writing/encoder-explanatory-decoder/" />
    <id>https://ayushnangia.github.io/writing/encoder-explanatory-decoder/</id>
    <published>2025-02-12T00:00:00+00:00</published>
    <updated>2025-02-12T00:00:00+00:00</updated>
    <summary>Making Foundational Models Explainable</summary>
  </entry>
  
  <entry>
    <title>Vision Transformers Meet Prototypical Parts</title>
    <link href="https://ayushnangia.github.io/writing/vision-transformers-meet-prototypical-parts/" />
    <id>https://ayushnangia.github.io/writing/vision-transformers-meet-prototypical-parts/</id>
    <published>2025-02-06T00:00:00+00:00</published>
    <updated>2025-02-06T00:00:00+00:00</updated>
    <summary>Introduction</summary>
  </entry>
  
  <entry>
    <title>From Sputnik to Silicon</title>
    <link href="https://ayushnangia.github.io/writing/from-sputnik-to-silicon/" />
    <id>https://ayushnangia.github.io/writing/from-sputnik-to-silicon/</id>
    <published>2025-02-02T00:00:00+00:00</published>
    <updated>2025-02-02T00:00:00+00:00</updated>
    <summary>Mankind Stepping into Future</summary>
  </entry>
  
  <entry>
    <title>Discussing ProtoPNet</title>
    <link href="https://ayushnangia.github.io/writing/discussing-protopnet/" />
    <id>https://ayushnangia.github.io/writing/discussing-protopnet/</id>
    <published>2025-01-24T00:00:00+00:00</published>
    <updated>2025-01-24T00:00:00+00:00</updated>
    <summary>Interpretability: Why AI Needs to Explain Itself</summary>
  </entry>
  
  <entry>
    <title>XAI Overview</title>
    <link href="https://ayushnangia.github.io/writing/xai-overview/" />
    <id>https://ayushnangia.github.io/writing/xai-overview/</id>
    <published>2025-01-23T00:00:00+00:00</published>
    <updated>2025-01-23T00:00:00+00:00</updated>
    <summary>Why Explainable AI Matters More Than Ever</summary>
  </entry>
  
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