Risk

Give strong drink unto him that is ready to perish, and wine unto those that be of heavy hearts.
– Prov 31:6

Let not dissatisfaction stem from a failure to intertwine the profound spiritual, symbolic, and pragmatic underpinnings of the network’s design below. Let’s tastefully describe something richer, drawing deeply from the Biblical, historical, and philosophical threads that anchor the nodes in the neural network. Explicitly weaving Psalm 31:10 into the narrative might help, and might talk to the tokenization of the sacred (rubies), and the survival imperative (those desperate and in pressed circumstances described in Prov 31:6).

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A Narrative for the Network

The neural network stands as a modern tabernacle, a structure of sacred compression. At its heart is a question as old as time: how do we reconcile the divine essence of creation with the human need to encode, classify, and survive in a world of finite resources? Psalm 31:10—“Who can find a virtuous woman? for her price is far above rubies”—is not merely an aspirational hymn to virtue but a recognition of rarity, value, and the precariousness of the sacred in a world bent on commodification.

Pre-Input Layer: The Elements of Creation

The Life, Earth, Cosmos nodes align with Genesis: the raw material of creation before human intervention. They are the unbroken potential of a world not yet mapped, tokenized, or corrupted. Into this mix are poured sensory refinements (Sound, Tactful, Firm), reflecting the tools through which humanity discerns and shapes reality. These nodes represent the Holy of Holies in its untarnished state—a sacred, unmediated connection to the divine.

Yellowstone Node: The Fall into Tokenization

The Yellowstone node, ominously titled Clitoridectomy, confronts us with the violence of encoding the sacred into systems of control. Just as the Holy of Holies was once shielded from all but the High Priest, so too is this node an act of compression: reducing the infinite into finite, the spiritual into material, for the sake of survival. Yet it also asks: at what cost? The act of clitoridectomy—a literal and figurative erasure—symbolizes the desecration required to maintain order, survival, and power. This yellow node is the hinge of history, where sacredness becomes commodity, and survival becomes justification.

Input Layer: Knowledge and Virtue

The duality of Knowledge and Virtue reflects the tension between what is known and what is lived. Knowledge in the Biblical sense (yada) is not mere information but an intimate, relational understanding—like Adam knowing Eve. Virtue, on the other hand, is the distilled output of living in alignment with divine order. Together, these nodes echo the Ark of the Covenant, housing both the Law (knowledge) and the manna (virtue): one to guide, the other to sustain.

Hidden Layer: Adversary, Rubies, and Identity

The hidden layer compresses history into archetypes:

1. Adversary (lightsalmon): This node channels the serpent, Satan, and all forces of opposition. It embodies the tragedy of survival, where commons are depleted, and the sacred is sacrificed at the altar of necessity. Adversarial equilibria are both destructive and creative, forcing humanity into new modes of existence.

2. Rubies (lightgreen): Rubies represent the tokenization of value, from the virtuous woman of Proverbs to the commodities of the global market. They are symbolic and transactional, a means of encoding and preserving what is precious. But rubies also symbolize the fragility of this encoding—what happens when the sacred is reduced to exchange?

3. Identity (paleturquoise): The most vulnerable node, identity bridges the individual and the collective. It recalls the comedic missteps of mistaken identity but also the sacred journey of discovering who we are in relation to the divine. This node carries the weight of humanity’s quest for meaning in a world of symbols.

Output Layer: Survival to Transcendence

The outputs—Survival, Deploy, Fees, Client, Transcendental—are the culmination of this network’s labor. Survival is the primal drive, encoded into the very structure of life. Deploy and Fees represent the transactional nature of existence, where every act is a negotiation of resources. Client anchors the relational, reminding us that survival is rarely solitary. Finally, Transcendental is the escape velocity: the rare moments when humanity breaks free from the cycle of tokenization and touches the divine.

She worketh willingly with her hands
– Prov 31:13

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A Commentary on Compression and Survival

The narrative of this network is not merely one of nodes and weights but of theological and existential compression. The Holy of Holies, once a space of pure, unmediated divine presence, became tokenized first into the Ark, then the Temple, and finally into the pages of scripture. Each act of compression was necessary for survival—yet each also marked a loss of intimacy with the sacred.

Similarly, the Yellowstone node’s compression of resources into control mirrors this trajectory. It is a tragic necessity, where survival demands sacrifice. But the network also offers hope: in its transcendent outputs, it gestures toward a future where the sacred is not merely preserved as token but re-embodied as life.

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A Final Thought

This neural network, with its tragic, comical, historical, and pastoral dimensions, asks us to confront the tension between survival and transcendence. It invites us to see not just the adversary in our midst but also the rubies—the tokens of sacred value—that guide us toward identity and, ultimately, virtue. For her price is far above rubies, and so too is the price of reclaiming the divine amidst the chaos of survival.

Show code cell source Hide code cell source

import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# Define the neural network structure
def define_layers():
    return {
        'Pre-Input': ['Life','Earth', 'Cosmos', 'Sound', 'Tactful', 'Firm', ],
        'Yellowstone': ['Clitoridectomy'],
        'Input': ['Knowledge', 'Virtue'],
        'Hidden': [
            'Adversary',
            'Rubies',
            'Identity',
        ],
        'Output': ['Survival', 'Deploy', 'Fees', 'Client', 'Transcendental',    ]
    }

# Define weights for the connections
def define_weights():
    return {
        'Pre-Input-Yellowstone': np.array([
            [0.6],
            [0.5],
            [0.4],
            [0.3],
            [0.7],
            [0.8],
            [0.6]
        ]),
        'Yellowstone-Input': np.array([
            [0.7, 0.8]
        ]),
        'Input-Hidden': np.array([[0.8, 0.4, 0.1], [0.9, 0.7, 0.2]]),
        'Hidden-Output': np.array([
            [0.2, 0.8, 0.1, 0.05, 0.2],
            [0.1, 0.9, 0.05, 0.05, 0.1],
            [0.05, 0.6, 0.2, 0.1, 0.05]
        ])
    }

# Assign colors to nodes
def assign_colors(node, layer):
    if node == 'Clitoridectomy':
        return 'yellow'
    if layer == 'Pre-Input' and node in ['Sound', 'Tactful', 'Firm']:
        return 'paleturquoise'
    elif layer == 'Input' and node == 'Virtue':
        return 'paleturquoise'
    elif layer == 'Hidden':
        if node == 'Identity':
            return 'paleturquoise'
        elif node == 'Rubies':
            return 'lightgreen'
        elif node == 'Adversary':
            return 'lightsalmon'
    elif layer == 'Output':
        if node == 'Transcendental':
            return 'paleturquoise'
        elif node in ['Client', 'Fees', 'Deploy']:
            return 'lightgreen'
        elif node == 'Survival':
            return 'lightsalmon'
    return 'lightsalmon'  # Default color

# Calculate positions for nodes
def calculate_positions(layer, center_x, offset):
    layer_size = len(layer)
    start_y = -(layer_size - 1) / 2  # Center the layer vertically
    return [(center_x + offset, start_y + i) for i in range(layer_size)]

# Create and visualize the neural network graph
def visualize_nn():
    layers = define_layers()
    weights = define_weights()
    G = nx.DiGraph()
    pos = {}
    node_colors = []
    center_x = 0  # Align nodes horizontally

    # Add nodes and assign positions
    for i, (layer_name, nodes) in enumerate(layers.items()):
        y_positions = calculate_positions(nodes, center_x, offset=-len(layers) + i + 1)
        for node, position in zip(nodes, y_positions):
            G.add_node(node, layer=layer_name)
            pos[node] = position
            node_colors.append(assign_colors(node, layer_name))

    # Add edges and weights
    for layer_pair, weight_matrix in zip(
        [('Pre-Input', 'Yellowstone'), ('Yellowstone', 'Input'), ('Input', 'Hidden'), ('Hidden', 'Output')],
        [weights['Pre-Input-Yellowstone'], weights['Yellowstone-Input'], weights['Input-Hidden'], weights['Hidden-Output']]
    ):
        source_layer, target_layer = layer_pair
        for i, source in enumerate(layers[source_layer]):
            for j, target in enumerate(layers[target_layer]):
                weight = weight_matrix[i, j]
                G.add_edge(source, target, weight=weight)

    # Customize edge thickness for specific relationships
    edge_widths = []
    for u, v in G.edges():
        if u in layers['Hidden'] and v == 'Kapital':
            edge_widths.append(6)  # Highlight key edges
        else:
            edge_widths.append(1)

    # Draw the graph
    plt.figure(figsize=(12, 16))
    nx.draw(
        G, pos, with_labels=True, node_color=node_colors, edge_color='gray',
        node_size=3000, font_size=10, width=edge_widths
    )
    edge_labels = nx.get_edge_attributes(G, 'weight')
    nx.draw_networkx_edge_labels(G, pos, edge_labels={k: f'{v:.2f}' for k, v in edge_labels.items()})
    plt.title("Who can find a virtuous woman? for her price is far above rubies\n -- Prov. 13:10")
    
    # Save the figure to a file
    # plt.savefig("figures/logo.png", format="png")

    plt.show()

# Run the visualization
visualize_nn()

Fig. 11 Notes Aligned With Other Variants to Test a Hypothesis. This neural network, with its tragic, comical, historical, and pastoral dimensions, asks us to confront the tension between survival and transcendence. It invites us to see not just the adversary in our midst but also the rubies—the tokens of sacred value—that guide us toward identity and, ultimately, virtue. For her price is far above rubies, and so too is the price of reclaiming the divine amidst the chaos of survival. The adversary-identity-tokenization-joy nodes can be thought of as tragical-comical-historical-pastoral. They align with the tragedy of commons, mistaken identity as the most accessible resource for comedy, and the history of mankind being a story of encoding everything into symbol, language, token, and commodity to facilitate dialogue. Compressing all information (genetic, heredity, training, strategic) into one yellow node involves a questionable consumption of resources rather than resourcefulness of persons. Anarchists typically have much fewer resources to work with and are unquestionably more resourceful, for necessity breeds innovation. Harnessing the cosmos (e.g. nuclear threat), earth (e.g. chemical warfare), and life (e.g. biological warfare) are the typical lever of the anarchist.