Unknown#
From the point of view of form, the
arche
type of all the arts is the art of the musician - Oscar Wilde
1. Archetype#
ii#
Phonetics
Temperament
Rhythm
V7#
Modes
i#
Chords
Blood
2. Film#
Genesis#
Inherited. Formulae of tension (bad marriage) & release (church music)
Added. Gun-brandishing, bible-quoting, auteur-in-drag
Overcome. Not by means of resistance training, but deliverance often through the church
Exodus#
Characters. Full range of characters including protagonists, antagonist, props, enablers, etc
Samuel#
Prophets. The characters he creates don’t have individually compelling arcs that subsume many of the
parameters
of lifeMonarchs. Home-cuming is contrived and doesn’t throw us a bone to chew on for some time
3. TV#
1. f(t)
\
2. S(t) -> 4. y:h'(t)=0;t(X'X)X'Y -> 5. b -> 6. SV'
/
3. h(t)
Departure#
Heritage
Emigration
Menial-work
Struggle#
Professional work
Return#
Leisure seeking
Nihilism
4. History#
1. Pessimism
\
2. Beyond Good & Evil -> 4. Dionysian -> 5. Science -> 6. Morality
/
3. Robustness
\(\mu\) Base-case#
Senses: Curated
Show code cell source
import numpy as np
import matplotlib.pyplot as plt
# Parameters
sample_rate = 44100 # Hz
duration = 20.0 # seconds
A4_freq = 440.0 # Hz
# Time array
t = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)
# Fundamental frequency (A4)
signal = np.sin(2 * np.pi * A4_freq * t)
# Adding overtones (harmonics)
harmonics = [2, 3, 4, 5, 6, 7, 8, 9] # First few harmonics
amplitudes = [0.5, 0.25, 0.15, 0.1, 0.05, 0.03, 0.01, 0.005] # Amplitudes for each harmonic
for i, harmonic in enumerate(harmonics):
signal += amplitudes[i] * np.sin(2 * np.pi * A4_freq * harmonic * t)
# Perform FFT (Fast Fourier Transform)
N = len(signal)
yf = np.fft.fft(signal)
xf = np.fft.fftfreq(N, 1 / sample_rate)
# Plot the frequency spectrum
plt.figure(figsize=(12, 6))
plt.plot(xf[:N//2], 2.0/N * np.abs(yf[:N//2]), color='navy', lw=1.5)
# Aesthetics improvements
plt.title('Simulated Frequency Spectrum of A440 on a Grand Piano', fontsize=16, weight='bold')
plt.xlabel('Frequency (Hz)', fontsize=14)
plt.ylabel('Amplitude', fontsize=14)
plt.xlim(0, 4186) # Limit to the highest frequency on a piano (C8)
plt.ylim(0, None)
# Remove top and right spines
plt.gca().spines['top'].set_visible(False)
plt.gca().spines['right'].set_visible(False)
# Customize ticks
plt.xticks(fontsize=12)
plt.yticks(fontsize=12)
# Light grid
plt.grid(color='grey', linestyle=':', linewidth=0.5)
# Show the plot
plt.tight_layout()
plt.show()
Show code cell output
Memory: Luxury
Emotions: Numbed
\(\sigma\) Varcov-matrix#
Evolution: Society
Show code cell source
import matplotlib.pyplot as plt
import numpy as np
# Clock settings; f(t) random disturbances making "paradise lost"
clock_face_radius = 1.0
number_of_ticks = 7
tick_labels = [
"Root (i)",
"Hunter-gather (ii7♭5)", "Peasant (III)", "Farmer (iv)", "Manufacturer (V7♭9♯9♭13)",
"Energy (VI)", "Transport (VII)"
]
# Calculate the angles for each tick (in radians)
angles = np.linspace(0, 2 * np.pi, number_of_ticks, endpoint=False)
# Inverting the order to make it counterclockwise
angles = angles[::-1]
# Create figure and axis
fig, ax = plt.subplots(figsize=(8, 8))
ax.set_xlim(-1.2, 1.2)
ax.set_ylim(-1.2, 1.2)
ax.set_aspect('equal')
# Draw the clock face
clock_face = plt.Circle((0, 0), clock_face_radius, color='lightgrey', fill=True)
ax.add_patch(clock_face)
# Draw the ticks and labels
for angle, label in zip(angles, tick_labels):
x = clock_face_radius * np.cos(angle)
y = clock_face_radius * np.sin(angle)
# Draw the tick
ax.plot([0, x], [0, y], color='black')
# Positioning the labels slightly outside the clock face
label_x = 1.1 * clock_face_radius * np.cos(angle)
label_y = 1.1 * clock_face_radius * np.sin(angle)
# Adjusting label alignment based on its position
ha = 'center'
va = 'center'
if np.cos(angle) > 0:
ha = 'left'
elif np.cos(angle) < 0:
ha = 'right'
if np.sin(angle) > 0:
va = 'bottom'
elif np.sin(angle) < 0:
va = 'top'
ax.text(label_x, label_y, label, horizontalalignment=ha, verticalalignment=va, fontsize=10)
# Remove axes
ax.axis('off')
# Show the plot
plt.show()
Show code cell output
\(\%\) Precision#
Needs: God-man-ai
Show code cell source
import matplotlib.pyplot as plt
import numpy as np
# Clock settings; f(t) random disturbances making "paradise lost"
clock_face_radius = 1.0
number_of_ticks = 9
tick_labels = [
"Sun", "Chlorophyll", "Produce", "Animals",
"Wood", "Coal", "Hydrocarbons", "Renewable", "Nuclear"
]
# Calculate the angles for each tick (in radians)
angles = np.linspace(0, 2 * np.pi, number_of_ticks, endpoint=False)
# Inverting the order to make it counterclockwise
angles = angles[::-1]
# Create figure and axis
fig, ax = plt.subplots(figsize=(8, 8))
ax.set_xlim(-1.2, 1.2)
ax.set_ylim(-1.2, 1.2)
ax.set_aspect('equal')
# Draw the clock face
clock_face = plt.Circle((0, 0), clock_face_radius, color='lightgrey', fill=True)
ax.add_patch(clock_face)
# Draw the ticks and labels
for angle, label in zip(angles, tick_labels):
x = clock_face_radius * np.cos(angle)
y = clock_face_radius * np.sin(angle)
# Draw the tick
ax.plot([0, x], [0, y], color='black')
# Positioning the labels slightly outside the clock face
label_x = 1.1 * clock_face_radius * np.cos(angle)
label_y = 1.1 * clock_face_radius * np.sin(angle)
# Adjusting label alignment based on its position
ha = 'center'
va = 'center'
if np.cos(angle) > 0:
ha = 'left'
elif np.cos(angle) < 0:
ha = 'right'
if np.sin(angle) > 0:
va = 'bottom'
elif np.sin(angle) < 0:
va = 'top'
ax.text(label_x, label_y, label, horizontalalignment=ha, verticalalignment=va, fontsize=10)
# Remove axes
ax.axis('off')
# Show the plot
plt.show()
Show code cell output
Utility: modal-interchange-nondiminishing
Show code cell source
import numpy as np
import matplotlib.pyplot as plt
# Define the total utility function U(Q)
def total_utility(Q):
return 100 * np.log(Q + 1) # Logarithmic utility function for illustration
# Define the marginal utility function MU(Q)
def marginal_utility(Q):
return 100 / (Q + 1) # Derivative of the total utility function
# Generate data
Q = np.linspace(1, 100, 500) # Quantity range from 1 to 100
U = total_utility(Q)
MU = marginal_utility(Q)
# Plotting
plt.figure(figsize=(14, 7))
# Plot Total Utility
plt.subplot(1, 2, 1)
plt.plot(Q, U, label=r'Total Utility $U(Q) = 100 \log(Q + 1)$', color='blue')
plt.title('Total Utility')
plt.xlabel('Quantity (Q)')
plt.ylabel('Total Utility (U)')
plt.legend()
plt.grid(True)
# Plot Marginal Utility
plt.subplot(1, 2, 2)
plt.plot(Q, MU, label=r'Marginal Utility $MU(Q) = \frac{dU(Q)}{dQ} = \frac{100}{Q + 1}$', color='red')
plt.title('Marginal Utility')
plt.xlabel('Quantity (Q)')
plt.ylabel('Marginal Utility (MU)')
plt.legend()
plt.grid(True)
# Adding some calculus notation and Greek symbols
plt.figtext(0.5, 0.02, r"$MU(Q) = \frac{dU(Q)}{dQ} = \lim_{\Delta Q \to 0} \frac{U(Q + \Delta Q) - U(Q)}{\Delta Q}$", ha="center", fontsize=12)
plt.tight_layout()
plt.show()
Show code cell output
5. Beverage#
ii#
Phonetics
Temperament
Rhythm
V7#
Modes
i#
Chords
Blood
6. Music#
ii#
Phonetics
Temperament
Rhythm
V7#
Modes
i#
Chords
Blood
7. Italia#
Sitting in the gardens
A fountain dribbling in the background
A vista of unparalleled loveliness in every direction
The taste of soft blue rippled cheese in my mouth
The sum-total of the grass the sheep ate
The generations of airborne cultures
History, magic and artistry:
I found myself overcome with regrets
ii
Primo#
Hell-Geothermal
/Aperitivo, AntipastoPrimo
Secondo, Contorno
V7
Dolce#
Purgatory-Mountain
/Insalata, Formaggi e Frutta, Dolce, Caffé, Digestivo
i
Inferno#
Goals-Solar
/Dante’s allegory is the theme of S3E10: Tuscany 30The structure of Dante’s Inferno: Hell, Purgatory, Goals is truly from our collective unconscious
8. Bourdain#
1. f(t)
\
2. S(t) -> 4. y:h'(t)=0;t(X'X).X'Y -> 5. b -> 6. SV'
/
3. h(t)
ii: Inherited Fetters (+ Self-Imposed) 1, 2, 3#
Summary: ii. departure - V7. struggle - i. return
. This is drawn from the interchange of modes, qualities, and relatives in the context of Aeolian i/III
that is always in the 1st inversion. Chopin inherited this from the 2nd, 3rd, and 4th opening bars of “Lacrimosa” (Aeolian with a Phrygian element much later).
A bii
chord from the Phrygian mode may be inserted. Its qualities may then be varied: bII7 - bII6 - biiø7 - biidim7
. This chord non-progression might come after the Aeolian iim7b5 in a return to home. A return to a false i via an Ionian I7
lends seamless voice leading from bii7-bii°7-biiø7-I7
. And then we return to the Aeolian root as follows: I7 - idim7 - im7
. So thats a quick dash across three modes!
My inheritance here from Chopin, my ancestor, is one of “chains”: how daintily he dances in the chains at bii
. He again does so later at V7b9
(tonic E minor) - V7 - vm7 - vdim7
(relative G Major), and finally in a very deceptive cadence on the home melody (E) at Vb9 - Vb97 - V7sus - V7sus13 - V7susb13 - Vb97/Vb7
. Such chord non-progression is akin to a dam holding back a river from its destiny at the estuary. Once the sluice gates open, my banks will overflow. Mozart gave to Chopin, Chopin gave to me, and thus it is my duty to perform acts of charity for the next generation.
V7: Dancing in Chains 4#
Inherited “chains” become an arena for demonstrating resilience and creativity, much like complex chord progressions that defy straightforward resolution. If I’m to play the hero in my lifetime, it is because others have placed hope in me, given that “my cup runneth over.” They are right because to them it seems that I effortlessly dance in these inherited and self-imposed fetters and obstacle courses during my odyssey.
i: Born to Etiquette 5, 6#
Our premise in discussing these matters is that a mere ii-V7-i progression without the transformations (insertions and deletions) would be a bland moral tale of faith.
The aesthetic accomplishment is in overcoming a seemingly endless and randomly generated number of barriers, and worthy adversaries, with grace and poise. This is much more compelling than the contrived, tidy ii-V7-i. With so many transformations, the overarching ii-V7-i can’t even be perceived and so it never seems contrived.
9. Modes#
Temperament#
Modal interchange, also known as modal mixture, allows composers to borrow chords from parallel modes, creating rich and evocative harmonies while staying grounded in traditional tonal frameworks. This technique enhances the emotional palette, bringing depth and unexpected colors to music.
Scales#
Reflecting on Anthony Bourdain in this context is fascinating. Bourdain’s storytelling often juxtaposed familiar culinary traditions with unexpected cultural insights, much like how modal interchange blends familiar harmonic structures with surprising twists. His ability to evoke profound emotions and convey deep connections through his journeys mirrors the evocative power of modal interchange in music.
MQ-TEA#
Bourdain's episodes
, such as the one in Tuscany that employed Dante's allegory
and the one in Tokyo, where delved into the origins of Seinen manga
, resonate with the idea of exploring new dimensions within familiar contexts. Just as modal interchange enriches a piece of music, Bourdain’s narratives enriched our understanding of cultures and the human experience. His approach was a masterful blend of tradition and innovation, much like the compelling harmonies created through modal interchange.
10 Uncertainty#
1. f(t)
\
2. S(t) -> 4. y:h'(t)=0;t(X'X).X'Y -> 5. b -> 6. SV'
/
3. h(t)
ii: Inherited fetters: archetypes, \(\mu\)#
\(f(t)\) Life randomly throws stuff at you as if from a density function (
parts
of which areunknown
)\(S(t)\) TV is a
cumulative medium
, its serialized, a resonant emotion in one episode has been earned over earlier ones\(h(t)\) Film caters to instantaneious gratification and has major constraints, but also a solution for the impatient
V7 Dancing in chains: stereotypes, \(\sigma\)#
\((X'X)^T \cdot X'Y\) Variation on inherited themes from the collective unconscious
i Born to etiquette: phenotypes, \(\%\)#
\(\beta\) Isolated parameters describe subgroups and stereotypes
\(SV'\) But the summation of the parameter values & weights within an individual: now that reveals phenotype
11. Draw Blood#
ii Inherit - Troy/Genesis#
This sentiment taps into a deeper cultural critique \(f(t)\)—one that laments the loss of appreciation for effort, patience, and the rewards that come from perseverance. When you talk about the shift toward “boneless” or pre-prepared foods, it’s not just about convenience; it’s a symbol of a broader societal trend toward instant gratification \(y:h'(t)=0\) and a reluctance to engage with the processes that require time, effort, and, frankly, a bit of grit \(S(t)\).
Picking apart a crab or wrestling
(V7) with a lobster is indeed a kind of ritual—a tactile, almost primal
(ii)experience that connects you to your food
(i) in a way that a neatly packaged fillet never can \((X'X)^T \cdot X'Y\).
It’s a reminder that some of the best things in life require effort. This isn’t just about the literal food on your plate but serves as a metaphor
for broader aspects of life. If you can’t be bothered to crack a crab shell, what does that say about your willingness to engage
with the more challenging aspects of life?
V7 Add - Odyssey/Exodus#
It’s a critique of a culture that’s increasingly focused on convenience
at the expense of experience. The “lazy lobster” is just one example, but it’s emblematic of a larger shift where the pursuit of ease has overtaken the appreciation for the journey
. Whether it’s in food, relationships, work, or even in the way we consume information, the emphasis on quick, easy, and ready-made experiences undermines the character-building that comes from struggle and the satisfaction of earning something through effort.
i Overcome - Ithaka/Canaan#
And yes, while it’s a bit tongue-in-cheek to connect this with something as serious as fighting al-Qaeda, the underlying point holds: If we lose the capacity to work for our rewards, to endure discomfort, and to engage fully with the process
\(\beta\), what does that say about our resilience as a society? The decline of patience, perseverance, and the willingness to engage with difficulty can indeed be seen as symptomatic of a broader societal erosion.
So, in that sense, the crab claw isn’t just a piece of meat—it’s a litmus test for something much deeper. If you’re not willing to work for that little nugget of goodness, what else are you not willing to work for \(SV'\)?
12. Reversed#
Ash Wednesday#
Inherited
Added
Overcome
Entire Year#
MQ-TEA
Fat Tuesday#
Frenzy
Masks
13. Renoir#
ii. Restraint: Ash Wednesday#
Aristocrats (Renoir’s Rules of the Game)
Catholic: Ex Favilla, Dies Irae, Penitence
Dancing in chains 1
V7. Tension: Entire Year#
Every person, across all time, and geographic locale
i. Indulgence: Fat Tuesday#
Beta parameters: alcohol, masks, constumes, debauchery
Frenzy, release of steam, and a general reset for the yaer
14. Bored#
1. f(t)
\
2. S(t) -> 4. y:h'(t)=0;t(X'X).X'Y -> 5. b -> 6. SV'
/
3. h(t)
ii. Restraint: Curated#
It’s possible that immersion in a highly curated modern society
can create a disconnect from the raw forces of nature and the humility that often comes from confronting something vastly more powerful than oneself. Modern life, with its conveniences and constant stream of curated experiences, can make us feel insulated from the elements, from the uncontrollable, and from the sheer scale of the natural world (ii
).
V7. Tension: Nihilism#
However, recognizing this is the first step toward reclaiming that sense of humility (V7
).
i. Indulgence: Extremes#
You can intentionally seek out experiences that reconnect you with nature—spending time in places where the elements are untamed and uncontrollable, where your sense of self is dwarfed by the scale of the surroundings. Engaging with the wilderness
or even engaging deeply with something that puts your existence into perspective
, like art, literature, or philosophy, can reignite that sense of humility. It might not be about losing humility completely but rather becoming numb to the stimuli
that would usually provoke it. In short, it’s a matter of seeking balance. Re-engaging with the forces
that remind us of our smallness
, whether through nature or other means, can restore
that sense of awe and humility that modern life sometimes dulls (i
).