Update documentation

_sources/act1/chapter1.ipynb

@@ -13,6 +13,9 @@
     "\n",
     "However, raw perception is not enough. Intelligence must filter and interpret what it perceives, which brings us to **Prophet (-kσ ☭⚒🥁)**—the cultural and symbolic transmission of meaning. Just as intelligence must refine search spaces through heuristics, music is shaped by inherited traditions, from ritual drumming to military cadences. These compressions serve as a guide for exploration, reducing the infinite space of possible sounds and movements into culturally meaningful patterns. This phase is similar to how AI models are weighted, amplifying relevant information while discarding noise. A child does not learn music by brute-force trial and error; rather, they inherit structured patterns that allow them to bypass inefficient exploration. AI, like human intelligence, benefits from pre-existing structure, which is why training models on historical data vastly improves efficiency.  \n",
     "\n",
+    "> *Chaos is opportunity*         \n",
+    "-- Trump\n",
+    "\n",
     "Once perception and interpretation are established, intelligence must act, leading to **Agent (α 🔪 🩸 🐐 vs Self-Play 🐑)**. Intelligence does not emerge in isolation—it is shaped through interaction, whether cooperative, adversarial, or transactional. In music, duo-play requires synchronization, adversarial play involves competition, and transactional play blends these dynamics in improvisation and call-and-response structures. These are not unlike strategic equilibria in AI, where models learn from reinforcement mechanisms. Self-play, however, is a particularly fascinating development. An agent with no external partners can still refine intelligence by iterating against itself, whether through adversarial self-competition (as in Go and chess engines) or through simulated collaboration. Self-play allows for infinite iterative improvement, making it the most efficient pathway to emergent intelligence when external teachers or adversaries are unavailable. In a way, this mirrors how great musicians refine their craft—by competing against their past performances, engaging in endless iteration against themselves.  \n",
     "\n",
     "```{figure} https://pbs.twimg.com/media/GizdJsmWQAA5I7a?format=jpg\n",
@@ -149,7 +152,7 @@
     "height: 1\n",
     "---\n",
     "How now, how now? What say the citizens? Now, by the holy mother of our Lord,\n",
-    "The citizens are mum, say not a word. Indeed, indeed. When Hercule Poirot predicts the murderer at the end of Death on the Nile, he is, in essence, predicting the “next word” given all the preceding text (a cadence). This mirrors what ChatGPT was trained to do. If the massive combinatorial search space—the compression—of vast textual data allows for such a prediction, then language itself, the accumulated symbols of humanity from the dawn of time, serves as a map of our collective trials and errors. By retracing these pathways through the labyrinth of history in compressed time—instantly—we achieve intelligence and “world knowledge.”\n",
+    "The citizens are mum, say not a word. Indeed, indeed. When Hercule Poirot predicts the murderer at the end of Death on the Nile, he is, in essence, predicting the “next word” given all the preceding text (a cadence). This mirrors what ChatGPT was trained to do. If the massive combinatorial search space—the compression—of vast textual data allows for such a prediction, then language itself, the accumulated symbols of humanity from the dawn of time, serves as a map of our collective trials and errors. By retracing these pathways through the labyrinth of history in compressed time—instantly—we achieve intelligence and “world knowledge.” Inherited efficiencies are locked in data and awaiting someone \"ukubona\" the lowest ecological cost by which to navigate lifes labyrinth. But a little error and random chaos must be added to go just little beyond the wisdom of our forebears, since the world isn't static and we must adapt to it. In biology, mutations are such errors added to the \"wisdom\" of our forebears encoded in DNA. Life's final cadence, as suggested most articulately by Dante -- *inferno, limbo, paradiso* -- is merely a side effect of optimizing the ecological cost function. Unlike what  Victorian moralists, including Dante to an extent, think: the final cadence isn't everything. \n",
     "```\n",
     "\n"
    ]

act1/chapter1.html

@@ -422,6 +422,10 @@ <h2> Contents </h2>
 <h2><strong>Phases of Intelligence in Music: A Compression Model</strong><a class="headerlink" href="#phases-of-intelligence-in-music-a-compression-model" title="Permalink to this heading">#</a></h2>
 <p>Music and artificial intelligence both explore massive combinatorial search spaces, requiring structure and optimization to create meaning. At the most fundamental level, the <strong>World (∂Y 🎶 ✨ 👑)</strong> provides the raw materials for both intelligence and music. This includes the laws of physics—gravity, friction, and sound propagation—along with biological constraints such as the human auditory system and vestibular apparatus. Without these foundational elements, neither music nor intelligence would have a medium through which to operate. Just as AI requires vast amounts of raw data, music emerges from the vibrations of particles in air, perceived through cranial nerve VIII, and integrated into higher-order cognition through sensory processing systems. This world is not only about sound but also about perception—whether we hear alone, in community, or in motion. Dance, as a direct physical response to music, is the first clear demonstration of intelligence interacting with a structured combinatorial space. It requires not only hearing but also coordination of visual, tactile, and spatial inputs to maintain rhythm and balance in motion.</p>
 <p>However, raw perception is not enough. Intelligence must filter and interpret what it perceives, which brings us to <strong>Prophet (-kσ ☭⚒🥁)</strong>—the cultural and symbolic transmission of meaning. Just as intelligence must refine search spaces through heuristics, music is shaped by inherited traditions, from ritual drumming to military cadences. These compressions serve as a guide for exploration, reducing the infinite space of possible sounds and movements into culturally meaningful patterns. This phase is similar to how AI models are weighted, amplifying relevant information while discarding noise. A child does not learn music by brute-force trial and error; rather, they inherit structured patterns that allow them to bypass inefficient exploration. AI, like human intelligence, benefits from pre-existing structure, which is why training models on historical data vastly improves efficiency.</p>
+<blockquote>
+<div><p><em>Chaos is opportunity</em><br />
+– Trump</p>
+</div></blockquote>
 <p>Once perception and interpretation are established, intelligence must act, leading to <strong>Agent (α 🔪 🩸 🐐 vs Self-Play 🐑)</strong>. Intelligence does not emerge in isolation—it is shaped through interaction, whether cooperative, adversarial, or transactional. In music, duo-play requires synchronization, adversarial play involves competition, and transactional play blends these dynamics in improvisation and call-and-response structures. These are not unlike strategic equilibria in AI, where models learn from reinforcement mechanisms. Self-play, however, is a particularly fascinating development. An agent with no external partners can still refine intelligence by iterating against itself, whether through adversarial self-competition (as in Go and chess engines) or through simulated collaboration. Self-play allows for infinite iterative improvement, making it the most efficient pathway to emergent intelligence when external teachers or adversaries are unavailable. In a way, this mirrors how great musicians refine their craft—by competing against their past performances, engaging in endless iteration against themselves.</p>
 <figure class="align-default">
 <img alt="https://pbs.twimg.com/media/GizdJsmWQAA5I7a?format=jpg" src="https://pbs.twimg.com/media/GizdJsmWQAA5I7a?format=jpg" />
@@ -526,7 +530,7 @@ <h2><strong>Dexterity and the Massive Combinatorial Search Space</strong><a clas
 <a class="reference internal image-reference" href="../_images/blanche.png"><img alt="../_images/blanche.png" src="../_images/blanche.png" style="width: 1px; height: 1px;" /></a>
 <figcaption>
 <p><span class="caption-number">Fig. 4 </span><span class="caption-text">How now, how now? What say the citizens? Now, by the holy mother of our Lord,
-The citizens are mum, say not a word. Indeed, indeed. When Hercule Poirot predicts the murderer at the end of Death on the Nile, he is, in essence, predicting the “next word” given all the preceding text (a cadence). This mirrors what ChatGPT was trained to do. If the massive combinatorial search space—the compression—of vast textual data allows for such a prediction, then language itself, the accumulated symbols of humanity from the dawn of time, serves as a map of our collective trials and errors. By retracing these pathways through the labyrinth of history in compressed time—instantly—we achieve intelligence and “world knowledge.”</span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
+The citizens are mum, say not a word. Indeed, indeed. When Hercule Poirot predicts the murderer at the end of Death on the Nile, he is, in essence, predicting the “next word” given all the preceding text (a cadence). This mirrors what ChatGPT was trained to do. If the massive combinatorial search space—the compression—of vast textual data allows for such a prediction, then language itself, the accumulated symbols of humanity from the dawn of time, serves as a map of our collective trials and errors. By retracing these pathways through the labyrinth of history in compressed time—instantly—we achieve intelligence and “world knowledge.” Inherited efficiencies are locked in data and awaiting someone “ukubona” the lowest ecological cost by which to navigate lifes labyrinth. But a little error and random chaos must be added to go just little beyond the wisdom of our forebears, since the world isn’t static and we must adapt to it. In biology, mutations are such errors added to the “wisdom” of our forebears encoded in DNA. Life’s final cadence, as suggested most articulately by Dante – <em>inferno, limbo, paradiso</em> – is merely a side effect of optimizing the ecological cost function. Unlike what  Victorian moralists, including Dante to an extent, think: the final cadence isn’t everything.</span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p>
 </figcaption>
 </figure>
 </section>