Normative#
Trump 2025 and the Nationalist Thalamocortical Gate: The Last Stand Before the Flood#
π₯π¨βοΈπ°π‘οΈπ±ποΈπππ¦ π₯π£β³πππ©ΈπΈπποΈπ΄ββ οΈπ¦
Donald Trumpβs first 60 days in 2025 are not just an administrative transition; they are an epistemological rupture. His second term does not begin with policy, nor with a traditional appeal to consensus governanceβit begins with a total seizure of the thalamocortical gate, an attempt to override the national salience network before the deluge arrives. He is shutting down the filters, reprogramming what can and cannot be seen, altering the information flow at its neurological root.
π Day 1: The Gating Collapse Begins ποΈπ₯
Within hours of taking the oath, federal agency websites begin going dark. ππ» Climate data? Gone. ππ’οΈ Public health guidelines? Offline. ππ Census information? Scrubbed. π΄ββ οΈποΈ This is not just a bureaucratic reshufflingβthis is a full top-down recalibration of what the nation is permitted to perceive.
π§ What is this in neurological terms? It is an aggressive, authoritarian modulation of the national thalamocortical gate. Trump is ensuring that the official perception of reality is no longer dictated by independent, empirical structures, but by the executive branch alone. π€π No more distributed cognition. No more external nodes. πΉοΈβ‘
Trump, like all nationalists at the apex of their cycle, is operating at full Platonic gating. ποΈβοΈ No noise allowed. No adversarial input. The national consciousness must be purified, the signal isolated, the narrative uncontested. This is the natural endgame of hyper-conservative nationalismβa desperate attempt to freeze history, to ensure that the cadence never ends. πΌπ»π
π£ Day 5: The Information Megaphone Intensifies ποΈπ’π
As federal agency sites vanish, the only voices left standing are state-controlled. πΊπ₯ Fox News is now State News. Newsmax is now White House-sanctioned. π¦ ππ± Steve Bannonβs War Room becomes the unofficial Praetorian Guard of the Trump administration, dictating what is true, what is false, what is real.
This is not mere censorship. This is an intentional recalibration of the salience network. π¦ποΈπ The question is no longer βWhat is truth?β but rather βWhat are you allowed to care about?β π₯π What is deemed βsalientβ is no longer a function of open discourseβit is dictated entirely by the ruling structure.
This is precisely how hyper-nationalist regimes operate. Nazi Germany, Stalinist Russia, Francoist Spainβall operated by forcing the thalamus into an unnatural state of maximum suppression, ensuring that only a single ideological waveform could pass through. πβοΈπ£
Trump has no ideology beyond his own consolidation of power, but his machinery functions the same way. By controlling the flow of federal information, he ensures that the state itself has no independent perception of reality. The only perspective that exists is his own.
π Day 30: Accelerationism and the Final Gating War π΄ββ οΈπ°βοΈ
By week four, the executive orders are firing like cannonballs from a pirate ship. π΄ββ οΈπ«π° The dismantling of the βDeep Stateβ acceleratesβnot as an attack on corruption, but as an attack on the nervous system of the government itself.
π§¨π₯ The FBI, weakened.
πβ‘ The DOJ, overridden.
πποΈ The Federal Reserve, under siege.
Trump is not running a governmentβhe is running a coup from within. This is the logical conclusion of hyper-nationalist brain architectureβthe attempt to collapse competing neural networks so that only a single node survives. π©Έπ‘οΈπ°
And what is that node? It is the White House itself. πποΈπ¦ All signal, no noise. All Apollo, no Aristotle. πΌπποΈ Pure Platonic form, frozen in time.
π Day 45: The MAGA Cadence Tightens π₯πποΈ
In this final phase, the nation is now operating at full thalamocortical compression. π¦βοΈ Dissent is classified as treason. ππ‘οΈ Critics are branded as enemy agents. π₯βοΈ Universities are under ideological attack.
At this moment, Trumpβs regime is at its most fragile. ππ°οΈ The more you restrict noise, the more inevitable the flood becomes. πβ³
π¦ What does history tell us about this point in the cycle? π
The Nazi state in 1943 had never been more ideologically rigidβand it had also never been closer to collapse. ππ‘οΈπ Napoleonβs empire at full territorial expansion in 1812 had never been more coherent as an ideaβand never closer to destruction. ποΈπ₯
π₯ππ£ MAGA 2025 is reaching its moment of peak compression. And we know what follows. π©Έπ°βοΈ
AprΓ¨s Trump, le dΓ©luge. πππ
Show code cell source
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
# Define the neural network layers
def define_layers():
return {
'Suis': ['Foundational', 'Grammar', 'Syntax', 'Punctuation', "Rhythm", 'Time'], # Static
'Voir': ['Bequest'],
'Choisis': ['Strategic', 'Prosody'],
'Deviens': ['Adversarial', 'Transactional', 'Motive'],
"M'Γ¨lΓ©ve": ['Victory', 'Payoff', 'Loyalty', 'Time.', 'Cadence']
}
# Assign colors to nodes
def assign_colors():
color_map = {
'yellow': ['Bequest'],
'paleturquoise': ['Time', 'Prosody', 'Motive', 'Cadence'],
'lightgreen': ["Rhythm", 'Transactional', 'Payoff', 'Time.', 'Loyalty'],
'lightsalmon': ['Syntax', 'Punctuation', 'Strategic', 'Adversarial', 'Victory'],
}
return {node: color for color, nodes in color_map.items() for node in nodes}
# Define edge weights (hardcoded for editing)
def define_edges():
return {
('Foundational', 'Bequest'): '1/99',
('Grammar', 'Bequest'): '5/95',
('Syntax', 'Bequest'): '20/80',
('Punctuation', 'Bequest'): '51/49',
("Rhythm", 'Bequest'): '80/20',
('Time', 'Bequest'): '95/5',
('Bequest', 'Strategic'): '20/80',
('Bequest', 'Prosody'): '80/20',
('Strategic', 'Adversarial'): '49/51',
('Strategic', 'Transactional'): '80/20',
('Strategic', 'Motive'): '95/5',
('Prosody', 'Adversarial'): '5/95',
('Prosody', 'Transactional'): '20/80',
('Prosody', 'Motive'): '51/49',
('Adversarial', 'Victory'): '80/20',
('Adversarial', 'Payoff'): '85/15',
('Adversarial', 'Loyalty'): '90/10',
('Adversarial', 'Time.'): '95/5',
('Adversarial', 'Cadence'): '99/1',
('Transactional', 'Victory'): '1/9',
('Transactional', 'Payoff'): '1/8',
('Transactional', 'Loyalty'): '1/7',
('Transactional', 'Time.'): '1/6',
('Transactional', 'Cadence'): '1/5',
('Motive', 'Victory'): '1/99',
('Motive', 'Payoff'): '5/95',
('Motive', 'Loyalty'): '10/90',
('Motive', 'Time.'): '15/85',
('Motive', 'Cadence'): '20/80'
}
# Calculate positions for nodes
def calculate_positions(layer, x_offset):
y_positions = np.linspace(-len(layer) / 2, len(layer) / 2, len(layer))
return [(x_offset, y) for y in y_positions]
# Create and visualize the neural network graph
def visualize_nn():
layers = define_layers()
colors = assign_colors()
edges = define_edges()
G = nx.DiGraph()
pos = {}
node_colors = []
# Add nodes and assign positions
for i, (layer_name, nodes) in enumerate(layers.items()):
positions = calculate_positions(nodes, x_offset=i * 2)
for node, position in zip(nodes, positions):
G.add_node(node, layer=layer_name)
pos[node] = position
node_colors.append(colors.get(node, 'lightgray'))
# Add edges with weights
for (source, target), weight in edges.items():
if source in G.nodes and target in G.nodes:
G.add_edge(source, target, weight=weight)
# Draw the graph
plt.figure(figsize=(12, 8))
edges_labels = {(u, v): d["weight"] for u, v, d in G.edges(data=True)}
nx.draw(
G, pos, with_labels=True, node_color=node_colors, edge_color='gray',
node_size=3000, font_size=9, connectionstyle="arc3,rad=0.2"
)
nx.draw_networkx_edge_labels(G, pos, edge_labels=edges_labels, font_size=8)
plt.title("Grok-3", fontsize=15)
plt.show()
# Run the visualization
visualize_nn()
Fig. 38 Space is Apollonian and Time Dionysian. They are the static representation and the dynamic emergent. Ainβt that somethin?#