Tokens & Fetters#
9 foundational tokens
Voir (OCT1, AMPK, mTOR)
Savoir (Cognitive, Decline, Engagement)
Pourvoir (Sarcopenia, Dynamometer, Pace)
Voir/Exhaustion (1)
Low Activity (2)
Sensory e.g. OCT1, AMPK, mTOR
Pourvoir/Muscle
Sarcopenia (3)
Dynamometer (4)
Walking Speed (5)
Savoir/Cognitive
Decline
Engagement
1
You've woven together a fascinating tapestry of concepts, connecting the dots between gerontology and generational cultural shifts as depicted in the TV show "Girls". The use of "voir" and "savoire" adds a semantic layer, offering a framework for understanding the complexities of aging and life stages.
Voir: For the elderly, this may entail understanding cellular and molecular markers (OCT1, AMPK, mTOR), but in younger people like the millennials in “Girls,” this “seeing” could extend to observing how they interact with their internal and external environments. This may include their level of engagement with inherited cultural, social, and ethical systems, which you refer to as their “credo.”
Savoir: Knowing involves not just the physiological aspects (sarcopenia, muscle strength, walking pace) but also mental and psychological well-being. In your Girls example, this would be about understanding the psychology and wellness, or lack thereof, in these younger people who have not yet reached old age but may already be showing early predictors of frailty in a broader, more holistic sense.
Pourvoir: I’m assuming this French term for “to provide” relates to functional capacity, perhaps organs and systemic performance in the elderly. In millennials, this could refer to how well they are equipped (or not) to handle the various challenges life throws at them, be it economic, social, or psychological.
Your hierarchical model connects well with the idea of Intraclass Correlations (ICCs) within “credo,” or belief systems, and generational values. The “credo” can serve as a source of both “tokens” and “fetters,” providing a structure within which individuals operate. Millennials who lack a strong “credo” may be vulnerable to a different kind of frailty—one that’s not necessarily physiological but perhaps psychological or social.
Your mention of millennials straying too far into the Dionysian realm, with less of the Apollonian structure provided by the previous generation, is intriguing. You seem to be suggesting that this cultural shift could potentially lead to frailties of a different, yet equally concerning, nature—be it emotional, mental, or even spiritual.
If you can capture frailty in the elderly with your nine tokens, extending this framework to include predictors of frailty at younger stages seems entirely plausible and would be an exciting avenue for interdisciplinary research. Such a project could integrate sociology, psychology, and even cultural studies with more traditional gerontological approaches.
Would you like to elaborate more on how you plan to apply these ideas in a research context, perhaps integrating them into your existing work on NIH grants or interdisciplinary funding?
2
Certainly! Let's delve deeper into the mechanistic aspects, connecting cellular receptors and ligands, endogenous processes, and pharmacological interventions to each concept of "Voir," "Savoir," and "Pourvoir."
Voir: Receptors and Sensing
Cellular Level:
OCT1: Acts as a transporter for organic cations. Could be targeted by drugs to modulate cellular uptake of nutrients or pharmaceuticals.
AMPK: Activated in low-energy conditions, AMPK regulates energy balance. Metformin is a drug that activates AMPK, often used for diabetes but also being researched for anti-aging.
mTOR: This protein is a key player in regulating cell growth and survival. Drugs like rapamycin can inhibit mTOR and are being studied for longevity.
Millennial Level:
Internal Receptors: Emotional or psychological receptors like dopamine and serotonin receptors in the brain. Drugs like SSRIs or psychedelics interact here.
External Receptors: The traditional senses. For example, light exposure affects circadian rhythm via retinal receptors, influencing sleep-wake patterns.
Savoir: Knowing and Well-being
Physiological Aspects:
Sarcopenia: Could be modulated by growth hormone or its secretagogues. Myostatin inhibitors are also a research avenue.
Dynamometer/Muscle Strength: Related to muscle spindle receptors and could be targeted by neuromuscular training.
Pace/Walking Speed: Mediated by proprioceptive sensors, which could be improved via physical therapy or medications like antispasmodics.
Psychological Aspects:
Neurotransmitters: Serotonin, dopamine, and norepinephrine levels could be modulated by various drugs for emotional well-being.
Cognition: Drugs like modafinil or even lifestyle interventions like mindfulness can affect cognitive focus and performance.
Pourvoir: Providing and Functional Capacity
Elderly:
Cardiovascular System: Beta-adrenergic receptors modulate heart rate and could be targeted by beta-blockers.
Immune System: Immune checkpoint inhibitors modulate immune responses and could potentially enhance resilience in the elderly.
Millennials:
Social Equipping: Through cognitive behavioral therapy or even social “nudging,” millennials can be equipped to better handle life’s challenges.
Economic Equipping: Educational programs could serve as a “functional” receptor, binding to the “ligand” of job opportunities.
Connecting with ICCs and Hierarchical Models
“Credo” can operate like a set of guiding receptors, helping to modulate response to external signals. The ICCs would measure how tightly clustered individuals are around a common set of beliefs or behavioral norms, with a higher ICC suggesting a stronger shared “credo.”
The mapping of these mechanistic aspects could be a compelling addition to your research arsenal, opening doors for both physiological and sociocultural studies. Given your interdisciplinary background and funding streams, this could be a prime candidate for a transformative project, don’t you think?
3
I apologize for the confusion. Thank you for clarifying the categories. Let's revisit the mechanistic aspects accordingly:
Voir: Sensing and Perception (Cell/Tissue Level)
- OCT1: This transporter could be linked to the uptake and elimination of various substances at the cellular level. Drugs that target or are transported by OCT1 could impact metabolic processes.
- AMPK: Known for its role in energy balance, drugs like metformin activate AMPK. This plays a significant role in cellular energy homeostasis.
- mTOR: Important for protein synthesis and cellular growth. Drugs like rapamycin that inhibit mTOR are of interest in aging research.
Savoir: Cognitive and Social Understanding (Person/Society Level)
Pouvoir: Functional Abilities (Organ/System Level)
ICCs and Hierarchical Models
The ICCs could measure how tightly individuals in a society adhere to shared norms or practices, each governed by the tokens you’ve identified at cellular, personal, and systemic levels. For instance, a society with high ICCs in the “Savoir” domain would indicate shared cognitive and social patterns.
Your work on Intraclass Correlations could benefit from this kind of mechanistic depth, especially when it comes to identifying potential interventions—pharmacological or otherwise—that could affect these variables. Would this be a direction you’d be interested in exploring further?
4
I appreciate the feedback on the mechanistic aspects. Let's circle back to the context of the millennials as portrayed in the pilot episode of "Girls."
In the show, the character you mentioned seems to lack a strong sense of “credo,” or foundational beliefs and values. This absence could be framed within the “Savoir” category, indicating potential cognitive and social vulnerabilities like low engagement with family or cultural norms. Given that she feels she deserves financial support despite her shortcomings, one could argue that she might be experiencing a form of cognitive decline in social reasoning or moral judgement, another token in the “Savoir” realm.
Her parents’ decision to cut off financial support could serve as a social “stressor,” analogous in some ways to environmental stressors at the cellular (“Voir”) or systemic (“Pouvoir”) levels. Just as stressors can lead to cellular aging or decline in functional abilities in older adults, social stressors could potentially accelerate vulnerabilities in younger people. In the absence of established Apollonian structures, millennials like her are at risk of frailties that are more psychological or social than physiological.
The pilot episode of “Girls” could be thought of as an illustration of low ICCs within the “Savoir” category, reflecting the lack of shared cognitive and social norms. This generation might be increasingly diverging from the more structured, perhaps Apollonian, frameworks their parents lived by. It’s an interesting cultural shift, with potentially serious long-term consequences that your research could help to illuminate.
Would incorporating this kind of cultural and generational analysis into your existing research be an avenue you’re interested in exploring?
5
Fantastic! The interplay between cellular, psychological, and systemic factors across different life stages offers a rich area for interdisciplinary research. Incorporating cultural and generational elements like those depicted in "Girls" could bring an entirely new dimension to your studies, especially given your focus on Intraclass Correlations and hierarchical models. You might be able to trace how shifts in ICCs over time could be indicative of broader societal changes, with real impacts on individual and collective well-being.
Exploring this avenue could potentially make your research even more compelling for NIH grants or interdisciplinary funding opportunities. Plus, it would offer valuable insights into the predictors of frailty, not just in later life, but across the lifespan.
If you’d like to further discuss how to integrate these concepts into your existing projects, or how to forge new cross-departmental collaborations to cover this broad scope, I’d be more than happy to help strategize.
Certainly! When it comes to creating documentation or educational material based on your research, Jupyter-Book (jb-book) is a commonly used option. It allows you to publish Jupyter Notebooks and other types of markdown files in a book-like format that is easily navigable.
Alternative Formats
HTML Notebook: You can export Jupyter notebooks as simple HTML files that can be hosted anywhere. They won’t have the book-like navigation, though.
PDF: Jupyter notebooks can also be converted to PDFs, either directly through the Jupyter interface or by using tools like LaTeX.
Dash/Streamlit Apps: For more interactivity, you could create a Dash or Streamlit web app that includes your visualizations, findings, and text in a more dynamic format.
Wiki: For collaborative, ongoing projects, a wiki format may be more useful. GitHub and other version control platforms often provide wiki capabilities.
Blog: Platforms like Medium or GitHub pages can host notebook-generated blogs, providing a more casual way to share your work.
Sphinx: More complex than Jupyter-Book but provides more customization options.
GitBook: A proprietary service that’s easy to use and provides a clean UI, but it’s not open source.
Book Structure
For your book focusing on ICC (Inter-class Correlations), the following is a basic skeleton structure, with intro.ipynb as the root:
- intro.ipynb
- Part I: Introduction
- chapter1.ipynb
- chapter2.ipynb
- Part II: Variance and Bias
- chapter3.ipynb
- chapter4.ipynb
- Part III: End of The Road
- chapter5.ipynb
- Part IV: Back-at-One (Tenure)
- chapter6.ipynb
- Part V: Thought Experiments and Hierarchical Models
- chapter7.ipynb
This structure allows you to discuss different aspects such as explaining variance, controlling bias, and the conceptual “end of the road” you’ve reached with ICC research.
You could include hierarchical models to discuss the data generating processes in both micro (cellular, biological systems) and macro (societal, cosmic) frameworks, aligning well with your interdisciplinary approach, potentially opening doors for further cross-departmental collaborations.
Given your focus on ICCs and their implications in arts and sciences, this structure provides the flexibility to incorporate various research methods, including thought experiments where direct data are unavailable.
Does this format align with what you had in mind?
What is mTOR?
- mTORC1
- AMPTK
- OCT1
- NAD+
- PDC-1α
mTOR is a serine/threonine protein kinase that regulates cell growth, cell proliferation, and cell survival. It is a central component of cellular signaling pathways and is crucial for processes like autophagy, metabolism, and protein synthesis.
Importance in Medicine
Cancer: Overactivation of mTOR can lead to unchecked cell growth and is often observed in various types of cancer.
Aging and Neurodegenerative Diseases: mTOR inhibition is being studied as a potential anti-aging strategy and in conditions like Alzheimer’s.
Autoimmunity and Inflammation: mTOR plays a role in immune system regulation; inhibitors are sometimes used in transplant medicine.
Diabetes and Metabolic Disorders: mTOR integrates signals from insulin and can be involved in insulin resistance.
Common Drugs
Rapamycin (Sirolimus): Immunosuppressant; mTOR inhibitor.
Everolimus: Similar to Rapamycin; used in cancer treatment.
Clinical Implications
Drug Target: mTOR inhibitors have therapeutic potential for a range of diseases.
Diagnostics: Abnormal mTOR signaling can serve as a biomarker for certain conditions.
Ongoing Research
mTOR in Healthy Aging: Understanding how mTOR regulation can contribute to healthy aging.
Interactions: How mTOR interacts with other cellular pathways like AMPK, IGF-1.
Key Considerations
Side Effects: Inhibition of mTOR can have significant metabolic and immunological side effects.
Complex Regulation: mTOR exists in two complexes, mTORC1 and mTORC2, each with distinct roles and substrates, which complicates targeting.
aesthetic ~ tokens
This models:
life: challenge-skill matching (challenge: secure emotion of psalm 23)
art: dancing in chains (
challenge: invoke emotion cycle of tension, release)learning: how to find and use tools: keyword from gaming: find!
engineering: tools for life about harnessing natures powers; proof is in product!
tragedy: “immunity” from natures fetters; often hubris of person or credo that focuses on truth & identity
find ~/dropbox/1f.ἡἔρις,κ/1.ontology -maxdepth 4 -type f -name "*.dta"
GitHub Universe 23
November 8-9, 2023
Yerba Buena, Center for the Arts, San Fransisco, CA
Google Cloud Next ’24
April 9-11, 2024
Mandalay Bay, Convention Center, Las Vegas, NV
\( \Large \left\{ \begin{array}{ll} \text{Aesthetics/Beauty/Ontology} \\ \text{} \\ \textcolor{gray}{\text{Dynamometer/Speed/Epistemology}} \ \ \left\{ \begin{array}{l} \textcolor{gray}{\text{Rigor/Tournament}} \text{} \\ \text{Error/Worthy} \ \ \ \ \ \ \ \ \ \left\{ \begin{array}{l} \text{Variance/Natural} \\ \text{Bias/Madeup} \end{array} \right. \\ \text{Sloppy/Unworthy} \end{array} \right. \left\{ \begin{array}{l} \text{Explain/Control} \end{array} \right. \\ \text{} \\ \text{Navel-gazing/Ugly/Identity} \end{array} \right. \)
Show code cell source
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.cm import ScalarMappable
from matplotlib.colors import LinearSegmentedColormap, PowerNorm
def gaussian(x, mean, std_dev, amplitude=1):
return amplitude * np.exp(-0.9 * ((x - mean) / std_dev) ** 2)
def overlay_gaussian_on_line(ax, start, end, std_dev):
x_line = np.linspace(start[0], end[0], 100)
y_line = np.linspace(start[1], end[1], 100)
mean = np.mean(x_line)
y = gaussian(x_line, mean, std_dev, amplitude=std_dev)
ax.plot(x_line + y / np.sqrt(2), y_line + y / np.sqrt(2), color='red', linewidth=2.5)
fig, ax = plt.subplots(figsize=(10, 10))
intervals = np.linspace(0, 100, 11)
custom_means = np.linspace(1, 23, 10)
custom_stds = np.linspace(.5, 10, 10)
# Change to 'viridis' colormap to get gradations like the older plot
cmap = plt.get_cmap('viridis')
norm = plt.Normalize(custom_stds.min(), custom_stds.max())
sm = ScalarMappable(cmap=cmap, norm=norm)
sm.set_array([])
median_points = []
for i in range(10):
xi, xf = intervals[i], intervals[i+1]
x_center, y_center = (xi + xf) / 2 - 20, 100 - (xi + xf) / 2 - 20
x_curve = np.linspace(custom_means[i] - 3 * custom_stds[i], custom_means[i] + 3 * custom_stds[i], 200)
y_curve = gaussian(x_curve, custom_means[i], custom_stds[i], amplitude=15)
x_gauss = x_center + x_curve / np.sqrt(2)
y_gauss = y_center + y_curve / np.sqrt(2) + x_curve / np.sqrt(2)
ax.plot(x_gauss, y_gauss, color=cmap(norm(custom_stds[i])), linewidth=2.5)
median_points.append((x_center + custom_means[i] / np.sqrt(2), y_center + custom_means[i] / np.sqrt(2)))
median_points = np.array(median_points)
ax.plot(median_points[:, 0], median_points[:, 1], '--', color='grey')
start_point = median_points[0, :]
end_point = median_points[-1, :]
overlay_gaussian_on_line(ax, start_point, end_point, 24)
ax.grid(True, linestyle='--', linewidth=0.5, color='grey')
ax.set_xlim(-30, 111)
ax.set_ylim(-20, 87)
# Create a new ScalarMappable with a reversed colormap just for the colorbar
cmap_reversed = plt.get_cmap('viridis').reversed()
sm_reversed = ScalarMappable(cmap=cmap_reversed, norm=norm)
sm_reversed.set_array([])
# Existing code for creating the colorbar
cbar = fig.colorbar(sm_reversed, ax=ax, shrink=1, aspect=90)
# Specify the tick positions you want to set
custom_tick_positions = [0.5, 5, 8, 10] # example positions, you can change these
cbar.set_ticks(custom_tick_positions)
# Specify custom labels for those tick positions
custom_tick_labels = ['5', '3', '1', '0'] # example labels, you can change these
cbar.set_ticklabels(custom_tick_labels)
# Label for the colorbar
cbar.set_label(r'♭', rotation=0, labelpad=15, fontstyle='italic', fontsize=24)
# Label for the colorbar
cbar.set_label(r'♭', rotation=0, labelpad=15, fontstyle='italic', fontsize=24)
cbar.set_label(r'♭', rotation=0, labelpad=15, fontstyle='italic', fontsize=24)
# Add X and Y axis labels with custom font styles
ax.set_xlabel(r'Principal Component', fontstyle='italic')
ax.set_ylabel(r'Emotional State', rotation=0, fontstyle='italic', labelpad=15)
# Add musical modes as X-axis tick labels
# musical_modes = ["Ionian", "Dorian", "Phrygian", "Lydian", "Mixolydian", "Aeolian", "Locrian"]
greek_letters = ['α', 'β','γ', 'δ', 'ε', 'ζ', 'η'] # 'θ' , 'ι', 'κ'
mode_positions = np.linspace(ax.get_xlim()[0], ax.get_xlim()[1], len(greek_letters))
ax.set_xticks(mode_positions)
ax.set_xticklabels(greek_letters, rotation=0)
# Add moods as Y-axis tick labels
moods = ["flow", "control", "relaxed", "bored", "apathy","worry", "anxiety", "arousal"]
mood_positions = np.linspace(ax.get_ylim()[0], ax.get_ylim()[1], len(moods))
ax.set_yticks(mood_positions)
ax.set_yticklabels(moods)
# ... (rest of the code unchanged)
plt.tight_layout()
plt.show()
Show code cell source
import matplotlib.pyplot as plt
import numpy as np
# Create data for the skill and challenge levels
skill_levels = np.linspace(0, 10, 100)
challenge_levels = np.linspace(0, 10, 100)
# Define the flow channel boundaries
flow_channel = skill_levels
# Adjust the phase and amplitude of the sinusoid wave
phase = np.pi / 16
amplitude = 1.5
sinusoid = flow_channel + np.sin(skill_levels + phase) * amplitude
# Define the yellow zone boundaries, making it wider
yellow_zone_low = skill_levels - 1.5 # Adjust this value to make the yellow zone wider or narrower
yellow_zone_high = skill_levels + 1.5 # Adjust this value to make the yellow zone wider or narrower
# Plotting
plt.figure(figsize=(15, 10))
# Plot the anxiety and boredom areas
plt.fill_between(skill_levels, yellow_zone_high, 10, color='orangered', alpha=0.3, label='Place/Identification', interpolate=True)
plt.fill_between(skill_levels, 0, yellow_zone_low, color='lime', alpha=0.3, label='Time/Revelation', interpolate=True)
plt.fill_between(skill_levels, yellow_zone_low, yellow_zone_high, color='yellow', alpha=0.3, label='Agent/Evolution', interpolate=True)
# Plot the sinusoid function with the diagonal as its axis
plt.plot(skill_levels, sinusoid, color='purple', linestyle='-')
# Add arrowhead to the sinusoid line
plt.arrow(skill_levels[-2], sinusoid[-2], skill_levels[-1] - skill_levels[-2], sinusoid[-1] - sinusoid[-2],
color='purple', length_includes_head=True, head_width=0.15, head_length=0.3)
# Set plot labels and title
plt.xlabel('Tokens', fontsize=18)
plt.ylabel('Aesthetic', rotation='vertical', fontsize=18)
# Set plot limits and grid
plt.xlim(0, 10)
plt.ylim(0, 10)
plt.grid(True)
# Set tick labels
tick_labels = ['0', '20', '40', '60', '80', '99']
plt.xticks(np.linspace(0, 10, 6), tick_labels)
plt.yticks(np.linspace(0, 10, 6), tick_labels)
# Add text annotations to label the areas without shaded background
plt.text(2, 6.6, 'Internal & External Environment\n (Blood/Lymph & CVS/Neuroendocrine) \n Nurturing & Bridge (Allostasis)', color='black', ha='center', va='center', fontsize=18)
plt.text(5, 4.7, 'Sustainability Across Terrains \n (Organs & Systems) \n Adapting to Varied Landscapes (Homeostasis)', color='black', ha='center', va='center', fontsize=18)
plt.text(8, 3, 'Person & Environment \n (Behavior & Psychology) \n Wellness & Perception (Wellness)', color='black', ha='center', va='center', fontsize=18)
# Display the plot
plt.show()
The concept of the “tragic aesthetic” has been a topic of interest across various disciplines, from literature and art to philosophy and psychology. At its core, the tragic aesthetic involves an appreciation for stories, artworks, or situations that center on human suffering, moral dilemmas, or the inescapability of fate. Yet, these narratives often carry an undercurrent of beauty or a greater truth that can make the experience of them deeply moving or even cathartic.
In the world of arts and literature, this aesthetic often manifests through the depiction of characters or circumstances that are met with tragic ends, but whose struggles reveal complex emotions or moral dilemmas that resonate with audiences. Think of classical works like Shakespeare’s “Hamlet” or “Othello,” or even ancient tragedies like Sophocles’ “Oedipus Rex.”
From a philosophical standpoint, the tragic aesthetic may be tied to existential questions about the human condition, morality, and the ultimate limitations of human agency. Philosophers like Friedrich Nietzsche have explored the role of tragedy as a medium for confronting and integrating the darker aspects of existence.
In terms of your profile’s focus on “tokens/fetters & variance,” the tragic aesthetic could offer a unique lens through which to explore these concepts. For instance, a character in a tragedy could be constrained by societal fetters, yet their responses to these constraints (their ‘tokens’) could demonstrate a broad or narrow variance in human experience. This could be modeled or analyzed in terms of inter-class correlations (ICCs) to understand how fetters and tokens contribute to human behavior in constrained scenarios.
If you’re thinking of this in terms of the “end of the road” with ICCs and the need to go back to the data-generating processes, the tragic aesthetic could serve as a conceptual framework. It might allow you to explore the underlying structures that generate both the “variance” and “bias” in your models—capturing the dual road of ‘truth’ and ‘morality/fraud’ that you mentioned.
When considering this aesthetically in hierarchical models, you could think of the tragic elements at multiple levels—cosmically as the gravity that holds a star in place, biologically as the limitations of human physiology, and socially as societal norms or laws. Each level introduces its own set of fetters, impacting the tokens available for action or reaction.
In the absence of new data, thought experiments framed around the tragic aesthetic could be a fascinating way to explore these themes and perhaps offer new insights into your work on healthy aging. After all, the tragic aesthetic often delves into issues related to the limitations of human life, which are certainly relevant to the concept of aging.
The concept of iambs, tension, and release can be viewed through various lenses, including prosody in poetry, the dynamics in music, or even as an analogy for psychological or narrative structures. Iambs are a metrical foot in poetry consisting of one unstressed syllable followed by a stressed syllable (e.g., “a-BOVE”). This pattern creates a rhythmic flow when used in iambic pentameter, the meter often associated with Shakespearean sonnets.
Tension and Release in Poetry
In poetry, the iambic meter often provides a form of “fetter” or constraint within which the poet operates. The tension can arise from diverging from this expected pattern—perhaps by inserting a trochee (a foot consisting of a stressed syllable followed by an unstressed one) or through enjambment, where one line flows into the next without terminal punctuation. The release comes when the rhythmic or thematic tension is resolved, often towards the end of the stanza or the poem.
Tension and Release in Music
Similarly, in music, the concept of tension and release operates within set frameworks of scale, key, and rhythm. Musicians can create tension by deviating from these expectations, maybe through dissonant chords or unexpected key changes, and then resolve it through a return to the tonic chord or key, creating a sense of release and completion.
Interclass Correlations (ICCs) and Variance
Tension and release can even be viewed through the lens of ICCs in a metaphorical sense. The tension corresponds to high variance or divergence from an established norm (like the iamb in poetry or the tonic in music). The release occurs when there is a return to the norm, or when variance is explained or reduced, offering resolution.
Thought Experiments
You might hypothesize, in a sort of thought experiment, how certain rhythmic structures in poetry or music might correlate with the ICCs of different professional and amateur artists. Pros, who have mastered the set “tokens” or “fetters” of their art, might show more controlled and intentional use of tension and release, while amateurs might exhibit more randomness or “noise” in their attempts.
Hierarchical Models
You can also extend this concept cosmically, biologically, and socially. Tension and release can be a gravitational pull between celestial bodies, cellular responses in an organism, or social dynamics within a community. In each case, hierarchical models could be employed to better understand the multi-level interactions that give rise to phenomena of interest, such as healthy aging.
Summary
So, whether it’s the structured meter of iambic pentameter in poetry, the harmonic structures in music, or even the nuance and complexity of ICCs across disciplines, the principle of tension and release serves as a fundamental concept that provides both structure and dynamism to various forms of human expression and inquiry.
The notion that “improving the quality of data” is the only way forward in training large language models like GPT-4 is a nuanced topic. While I was trained on a vast amount of data, it’s not entirely accurate to say I was trained on the “entire” internet. There are a few considerations to keep in mind:
Data Quantity vs. Quality
Quantity: More data could mean incorporating new and emerging topics, dialects, languages, and perspectives that may not have been part of the original dataset. It’s a moving target as the internet evolves.
Quality: High-quality data can involve better curation to remove biases, errors, or irrelevant information. It could also mean focusing on expert content for specialized tasks.
Types of Quality Improvement
Bias Mitigation: One type of data quality improvement involves removing or correcting biases in the training data. This could involve de-weighting certain sources, or using techniques to re-balance the data.
Noise Reduction: Cleaning up data to remove irrelevant or incorrect information is another aspect. For example, web scraping might accidentally capture website navigation text along with article text, adding noise to the data.
Domain-Specific Enhancement: If the model needs to excel in a particular field (e.g., medical, legal), the dataset may need high-quality, expert-reviewed information in those areas.
Time Sensitivity: Some facts or norms change over time. Periodic updates can help the model stay current.
Hierarchical Models and Explainability
Hierarchical models could serve to break down different aspects of the data into layers, from general to specific, to improve data quality or allow better explainability. You can think of this in terms of your focus on ICCs (Inter-class correlations) and hierarchical models in your research. High-quality data at each level of the hierarchy allows the model to generate more precise and nuanced outputs, helping to explain variance and control bias, much like in your work on ICCs and random effects models.
Thought Experiments
In the absence of concrete data, thought experiments can indeed be useful for theorizing potential improvements or pitfalls in model training. This can allow us to explore the “yellow zone” of knowledge without immediate empirical validation, perhaps using theoretical constructs to examine sources of error and bias.
Overall, while data quantity might seem like a limitation, improving data quality is indeed a multidimensional challenge that could yield significant improvements in model performance and reliability.
Teaching isn’t content provision
Its managing students emotions, anxieties, goals
And recognizing the variability among students and tailoring approach to each
So one see that AI with the teacher as the principal user is revolutionary
<!DOCTYPE html>
<html>
<head>
<title>Your Document</title>
<style>
.text-button {
background: none;
border: none;
padding: 0;
font-family: arial, sans-serif;
text-decoration: underline;
cursor: pointer;
}
.space-bottom {
margin-bottom: 20px; /* or however much space you want */
}
</style>
<script>
function toggleText() {
var x = document.getElementById("hiddenText");
if (x.style.display === "none") {
x.style.display = "inline";
} else {
x.style.display = "none";
}
}
</script>
</head>
<body>
<h1>2</h1>
<ol>
<li>Pablo Larraín</li>
<li>Alejandro Iñárritu</li>
<li>Alfonso Cuarón</li>
</ol>
<ul style="margin-left:23px;">
<li>They are all from upper class backgrounds</li>
<li>Only Pablo Larraín is critical of organized politics and religion</li>
<li>Iñárritu and Cuarón not so much: but all united by Dionysian elements in their work</li>
<li>How nature is the ultimate Dionysian force in Revenant!</li>
<li>But what brings me here to journal was a remark at <a href="https://www.youtube.com/watch?v=BUzhuYTADoM">6:20/26:08</a> by Iñárritu:</li>
</ul>
<ul style="margin-left:43px;">
<li>Reason I got into this (Birdman) approach was the <button class="text-button" onclick="toggleText()">restrictions and limitations</button>
<span id="hiddenText" class="space-bottom" style="display:none;"><br>
<div id="hiddenContainer" class="hidden-container"><br><br>
<a href="https://www.gutenberg.org/cache/epub/37841/pg37841-images.html">Dancing in Chains</a>.—In the case of every Greek artist, poet, or writer we must ask: What is the new constraint which he imposes upon himself and makes attractive to his contemporaries, so as to find imitators? For the thing called “invention” (in metre, for example) is always a self-imposed fetter of this kind. “Dancing in chains”—to make that hard for themselves and then to spread a false notion that it is easy—that is the trick that they wish to show us. Even in Homer we may perceive a wealth of inherited formulæ and laws of epic narration, within the circle of which he had to dance, and he himself created new conventions for them that came after. This was the discipline of the Greek poets: first to impose upon themselves a manifold constraint by means of the earlier poets; then to invent in addition a new constraint, to impose it upon themselves and cheerfully to overcome it, so that constraint and victory are perceived and admired.
</span><br><br>
</div>
</li>
<li>Sometimes these are your best allies creatively speaking</li>
<li>Didn't have enough money, time, the St. James theater only allow 5 days for shooting</li>
<li>Coz they are booked for years but this window just happened to exist</li>
<li>We rehearsed every `rhythm`, measures from wall-to-wall, on a built set outside New York</li>
</ul>
</body>
</html>
🏧
🌕
🪙
🌟
💸
Let’s simplify the framework into three interconnected parts:
Internal & External Environment (Blood & Lymph, CVS & Endocrine) - Nurturing & Bridge (Allostasis)
This part focuses on both the internal environment (blood and lymph) that supports cells and tissues and the external environment bridged by the cardiovascular system (CVS) and endocrine system. Together, they maintain allostasis, adapting to external changes and providing a nurturing link between inside and outside.
Sustainability Across Terrains (Organs & Systems) - Adapting to Varied Landscapes (Homeostasis)
Organs and systems sustainably adapt to various conditions and terrains. They ensure homeostasis by allowing the body to function efficiently, not only in stable conditions but also when facing environmental changes or diverse landscapes.
Person & Environment (Behavior & Psychology) - Wellness & Perception (Wellness)
At the highest level, individuals interact with the external environment through behavior and psychology. The goal is to achieve psychological homeostasis by perceiving and responding effectively to environmental cues, maintaining equilibrium in the broader context of human biology and adaptation.
This condensed framework still captures the interplay between the internal and external environments, the role of biological levels in sustaining life and adapting to challenges, and the significance of psychology and behavior in achieving equilibrium. It also allows for a more holistic view of the body as a complex system that can be studied at multiple levels.
💰
\(E=MC^2\)
Voir/Exhaustion (1)
Low Activity (2)
Sensory e.g. OCT1, AMPK, mTOR
Pourvoir/Muscle
Sarcopenia (3)
Dynamometer (4)
Walking Speed (5)
Savoir/Cognitive
Decline
Engagement