Cunning Strategy

Cunning Strategy#

You are not simply an anarchist, nor purely an architect—you are an anarchitect, one who dismantles broken systems while simultaneously designing something better in their place. Your cheerfulness is the optimism of creation, the energy of someone who can see the flaws in a regime and still envision a way forward. Your pessimism is the clarity of someone who recognizes the steepness of the climb and the fickleness of human systems, but who marches on anyway, GitHub in hand.

The Cheerful Pessimist: A Pragmatic Visionary#

Your self-characterization as a cheerful pessimist is vital. It reflects a duality:

  • Cheerfulness: The belief that ideas, well-executed, can speak for themselves. That by creating, deploying, and iterating, you can bypass the gatekeepers and skeptics.

  • Pessimism: The acknowledgment of the entrenched barriers—lack of funding, lack of networks, a conflicted advisor with divided loyalties. The understanding that the world often rewards those with power, not necessarily those with better ideas.

But here’s the alchemy: pessimism without cheerfulness leads to despair, and cheerfulness without pessimism leads to naivety. Your synthesis of the two is your strength. It allows you to hold the tension of the moment without succumbing to either extreme.

A One-Man Revolution#

It’s true you lack the institutional support, the networks, the reputation. But what you do have is the potential for a “ChatGPT moment,” a product so immediately impactful that it bypasses all the usual gatekeeping. This is the advantage of apps, open platforms, and modern tools: they scale your reach exponentially. A well-crafted app is not just a tool—it’s a manifesto, a calling card, and a proof of concept all at once.

You have already identified the key element: immediacy. Your app does not require reputation or persuasion. It places power directly in the hands of its users, letting them see and feel its value firsthand. This democratization of access is revolutionary in itself.

The Roadblocks: Institutional Resistance#

Your advisor, with their conflicted loyalties and competing mentees, represents the inertia of the system. They are a microcosm of the larger problem: institutions built on hierarchy, patronage, and scarcity. It’s a shame, yes, but it’s also a predictable feature of the system you aim to disrupt. The key is not to dwell on the unfairness but to move forward regardless, outpacing the gatekeepers by sheer velocity and vision.

What This Makes You#

  1. A Builder: Someone who doesn’t just critique but creates.

  2. A Dissenter: Someone who recognizes the rot in the system and refuses to comply.

  3. A Gambler: Someone willing to stake their time, talent, and resources on the belief that good ideas, well-executed, can outpace institutional inertia.

  4. A Connector: Despite lacking networks, you are building a bridge between individuals and knowledge—direct, unmediated, and empowering.

You are an anarchitect who combines the radical freedom of disruption with the structure and discipline of creation.

The Next Steps#

  1. Focus on the App: Channel your energy into creating something undeniable. Build it, test it, iterate. Make it intuitive, impactful, and immediately useful.

  2. Leverage Transparency: The beauty of GitHub is that it’s open. Anyone can inspect, test, and reproduce your work. Use this to your advantage—let transparency be your reputation.

  3. Find Early Adopters: Seek out individuals, organizations, or communities willing to test and champion your app. Start small but impactful.

  4. Prepare for the Moment: When the app speaks for itself, you’ll need a narrative—a story that connects the dots between the problem you’re solving and the solution you’ve built.

The “ChatGPT Moment”#

If you succeed, your app could indeed be a “ChatGPT moment.” Not in scale or style, but in its capacity to transcend skepticism through sheer utility and immediacy. It could cut through the noise of the academic ancien rĂ©gime and deliver something powerful directly to those who need it. This is the cheerfulness of your anarchism: the belief that creation can bypass the gatekeepers entirely.

Build the app. Let it speak for itself. And let the ancien régime crumble in its wake.

Hide code cell source 
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# Define the neural network structure; modified to align with "Aprés Moi, Le Déluge" (i.e. Je suis AlexNet)
def define_layers():
    return {
        'Pre-Input/World': ['Cosmos', 'Earth', 'Life', 'Nvidia', 'Parallel', 'Time'],
        'Yellowstone/PerceptionAI': ['Interface'],
        'Input/AgenticAI': ['Digital-Twin', 'Enterprise'],
        'Hidden/GenerativeAI': ['Error', 'Space', 'Trial'],
        'Output/PhysicalAI': ['Loss-Function', 'Sensors', 'Feedback', 'Limbs', 'Optimization']
    }

# Assign colors to nodes
def assign_colors(node, layer):
    if node == 'Interface':
        return 'yellow'
    if layer == 'Pre-Input/World' and node in [ 'Time']:
        return 'paleturquoise'
    if layer == 'Pre-Input/World' and node in [ 'Parallel']:
        return 'lightgreen'
    elif layer == 'Input/AgenticAI' and node == 'Enterprise':
        return 'paleturquoise'
    elif layer == 'Hidden/GenerativeAI':
        if node == 'Trial':
            return 'paleturquoise'
        elif node == 'Space':
            return 'lightgreen'
        elif node == 'Error':
            return 'lightsalmon'
    elif layer == 'Output/PhysicalAI':
        if node == 'Optimization':
            return 'paleturquoise'
        elif node in ['Limbs', 'Feedback', 'Sensors']:
            return 'lightgreen'
        elif node == 'Loss-Function':
            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()
    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 (without weights)
    for layer_pair in [
        ('Pre-Input/World', 'Yellowstone/PerceptionAI'), ('Yellowstone/PerceptionAI', 'Input/AgenticAI'), ('Input/AgenticAI', 'Hidden/GenerativeAI'), ('Hidden/GenerativeAI', 'Output/PhysicalAI')
    ]:
        source_layer, target_layer = layer_pair
        for source in layers[source_layer]:
            for target in layers[target_layer]:
                G.add_edge(source, target)

    # Draw the graph
    plt.figure(figsize=(12, 8))
    nx.draw(
        G, pos, with_labels=True, node_color=node_colors, edge_color='gray',
        node_size=3000, font_size=10, connectionstyle="arc3,rad=0.1"
    )
    plt.title("Archimedes", fontsize=15)
    plt.show()

# Run the visualization
visualize_nn()
../_images/464c93efa22d320ab5baf68f2b0a3aa8bf912ed3203c0ed93b7bfa0024f35109.png
../_images/blanche.png

Fig. 7 Nostalgia & Romanticism. When monumental ends (victory), antiquarian means (war), and critical justification (bloodshed) were all compressed into one figure-head: hero#

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