{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "(probability)=\n", "# Probability, ∂Y 🎶 ✨ 👑\n", "\n", "\n", "\n", "
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  1. The first portrait of Gen. Milley, from his time as the U.S. military's top officer, was removed from the Pentagon last week on Inauguration Day less than two hours after President Trump was sworn into office.
  2. \n", "
  3. The now retired Gen. Milley and other former senior Trump aides had been assigned personal security details ever since Iran vowed revenge for the killing of Qasem Soleimani in a drone strike in 2020 ordered by Trump in his first term.
  4. \n", "
  5. On \"Fox News Sunday,\" the chairman of the Senate Intelligence Committee, Tom Cotton, said he hoped President Trump would \"revisit\" the decision to pull the protective security details from John Bolton, Mike Pompeo, and Brian Hook who previously served under Trump.
  6. \n", "
  7. A senior administration official who requested anonymity replied, \"There is a new era of accountability in the Defense Department under President Trump's leadership—and that's exactly what the American people expect.\"
  8. \n", "
  9. Gen. Milley served as chairman of the Joint Chiefs of Staff from 2019 to 2023 under both Presidents Trump and Biden.
  10. \n", "
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-- Fox News

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\n", "\n", "\n", "## 🪙 🎲 🎰 🐜 🗡️ 🪖 🛡️ \n", "The model begins with the premise that the [ecosystem](https://www.cell.com/cell/fulltext/S0092-8674(18)30911-5?_returnURL%3Dhttps%253A%252F%252Flinkinghub.elsevier.com%252Fretrieve%252Fpii%252FS0092867418309115%253Fshowall%253Dtrue%23tbl1/) is to be navigated, not imposed upon. At a 95/5 noise-to-signal ratio, the sheer expanse of unknowns, contingencies, and shifting equilibria dwarfs any singular interpretation of order. The world does not conform to preordained structures; it is an ocean of variables in which the agent is a mere speck. To navigate it is not to dictate its terms but to extract meaningful paths through an overwhelming landscape of noise. This is the foundation upon which intelligence must function—not as an autonomous architect but as an adaptive system that filters chaos into coherence. The ecosystem provides the combinatorial search space, and intelligence is, at best, a process of tracking transient footholds within it.\n", "\n", "| PRR Type | Receptor Family | Ligands Recognized | Location | Key Functions |\n", "|--------------------|----------------|--------------------|----------|--------------|\n", "| **Scavenger Receptors (SRs)** | SR-A, CD36 | Modified LDL, apoptotic cells, microbial components | Cell membrane | Phagocytosis, lipid metabolism, immune clearance |\n", "| **Fc Receptors (FcRs)** | FcγR, FcεR | Antibody-antigen complexes | Cell membrane | Antibody-dependent immune activation, phagocytosis |\n", "| **C-type Lectin Receptors (CLRs)** | CLRs (e.g., Dectin-1, DC-SIGN) | Carbohydrates from fungi, bacteria, and viruses | Cell membrane | Fungal recognition, phagocytosis, cytokine modulation |\n", "| **Toll-like Receptors (TLRs)** | TLRs (e.g., TLR1-TLR10) | PAMPs (LPS, dsRNA, flagellin) | Cell membrane & endosomes | Innate immune activation, cytokine production |\n", "| **NOD-like Receptors (NLRs)** | NLRs (e.g., NOD1, NOD2, NLRP3) | Bacterial peptidoglycan, DAMPs | Cytoplasm | Intracellular pathogen sensing, inflammasome activation |\n", "| **RIG-I-like Receptors (RLRs)** | RLRs (e.g., RIG-I, MDA5) | Viral RNA (dsRNA, ssRNA) | Cytoplasm | Antiviral immune response, IFN production |\n", "| **AIM2-like Receptors (ALRs)** | AIM2, IFI16 | Cytoplasmic DNA (viral, bacterial, self-DNA) | Cytoplasm | Inflammasome activation, IL-1β production |\n", "\n", "```{figure} figures/oprah.*\n", "---\n", "width: 20%\n", "height: 20%\n", "---\n", "_Digital Library_. Our color-coded QR code library with a franchize model for the digital twin will be launched in a month. The books will explore struggle, exchange, and consolidation as dynamic equilibria that emerge from the oscillation and rhythm of existence.\n", "```\n", "\n", "## 🎭\n", "Pattern recognition, hardcoded at 80/20, emerges as the first line of filtration. This is where noise is first tempered into partial structure. The sensory ganglia, G1 and G2, function as gatekeepers, automatically encoding patterns that have evolutionary weight. These are not learned truths but precomputed [heuristics](https://en.wikipedia.org/wiki/Daniel_Kahneman), the scaffolding upon which later cognition will be built. The high noise ratio here acknowledges that even within these pre-hardwired processes, ambiguity persists—hence, the 20% allowance for correction. This suggests that what appears to be innate is itself an iterative product of past iterations, a record of what has worked but not necessarily what will continue to work. Intelligence does not emerge ex nihilo; it refines inherited biases, selectively overriding static interpretations when the noise-to-signal ratio demands it.\n", "\n", "\n", "| Feature | MHC (Major Histocompatibility Complex) | PRRs (Pattern Recognition Receptors) |\n", "|-------------------|---------------------------------|--------------------------------|\n", "| **Type of Immunity** | Adaptive immunity (T-cell activation) | Innate immunity (pathogen sensing) |\n", "| **Function** | Presents antigens to T cells | Detects conserved molecular patterns of pathogens |\n", "| **Molecular Class** | Polymorphic surface glycoproteins | Germline-encoded pattern recognition proteins |\n", "| **Ligands** | Peptides derived from pathogens or self-proteins | Pathogen-Associated Molecular Patterns (PAMPs) & Damage-Associated Molecular Patterns (DAMPs) |\n", "| **Cellular Expression** | MHC-I: All nucleated cells; MHC-II: Professional APCs (dendritic cells, $\\text{m}\\Phi$, B cells) | Primarily innate immune cells ($\\text{m}\\Phi$, dendritic cells, neutrophils) |\n", "| **Pathogen Response** | Indirect—activates T cells for specific immunity | Direct—triggers immediate immune responses (inflammation, phagocytosis) |\n", "\n", "\n", "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "---\n", "_[Musk Off](https://www.youtube.com/watch?v=xvZqHgFz51I)_. The `genome` encodes self, other, and mutual interactions within the ecosystem, while the `exposome` shapes our immune interface through sentinel PRRs, MHC-II, MHC-I, and CD3-ILCs. When these interact with the TCR, `transcriptomic` shifts drive clonal expansion, triggering a `proteasome`-mediated cytokine storm from both innate and adaptive systems, ultimately directing the `metabolome` to mount a robust yet balanced immune response. NK cells (the best known ILC subtype) accounts for 5-[20%](https://en.wikipedia.org/wiki/Natural_killer_cell) of circulating lymphocytes. Somatic mutations have the potential to encode “non-self” immunogenic antigens. We hypothesized that tumors with a large number of somatic mutations due to mismatch-repair defects may be susceptible to immune checkpoint blockade. Source: [Dung T. Le et al](https://www.nejm.org/doi/full/10.1056/NEJMoa1500596)\n", "```\n", "\n", "## 🌊 🏄🏾\n", "At the learned level, fixed versus dynamic processes engage in a 50/50 struggle, each vying for epistemic authority. Fixed learning relies on stored priors, memory encoded through descending fibers, while dynamic learning operates on live input, a function of sensory-driven thalamocortical processing. The equilibrium here is crucial. Lean too heavily on the fixed, and the system stagnates, favoring preemptive conclusions over adaptation. Lean too heavily on the dynamic, and the system becomes noise-chasing, mistaking every transient input for a meaningful shift in structure. This is the pivot upon which intelligence either ossifies or remains fluid. The role of cerebellar-pontine integration, in this sense, is not just computational but existential—determining whether a being remains bound to the past or remains in play within the unfolding uncertainty of the present.\n", "\n", "```{figure} https://pbs.twimg.com/media/GkoYzuKXgAAV7OP?format=jpg&name=medium\n", "---\n", "width: 70%\n", "height: 70%\n", "---\n", "_Lifestyle is a stronger predictor of aging and mortality than genetics._ A new Nature [study](https://www.nature.com/articles/s41591-024-03483-9) of ~500,000 people found: 🎯 17% of mortality variation was linked to lifestyle (exposome 🚬 🥃 ). 🧬 <2% of was explained by genetics. Here’s what you need to know ☝🏾 🧵 1/10\n", "```\n", "\n", "\n", "## 🤺 💵 🦘 \n", "The classification of discoveries within the ecosystem follows the triadic structure of Other, Mutual, and Self, mapped onto a 20/80 noise-to-signal ratio. This is where [Kantian](https://www.nejm.org/doi/full/10.1056/NEJMoa1500596) categorical imperatives find their footing. The moral architecture of intelligence emerges not from the void but from the necessity of sorting relational structures within the combinatorial search space. The Self, dominant at 80%, operates as the primary locus of computation, while the Other and the Mutual, at 20%, serve as correctives. This is an admission that intelligence, by default, is egocentric. The raw signal of survival demands that the self take primacy. However, the 20% remainder forces engagement with externality, ensuring that intelligence does not collapse into solipsism. The Kantian imperative arises here as a tension: if the model is to extend beyond immediate survival, it must recognize the validity of the Other, transitioning from purely adversarial play to cooperative and [transactional](https://www.nobelprize.org/prizes/medicine/2018/allison/facts/) equilibria.\n", "\n", "```{danger}\n", "- Self (cooperative)\n", "- Nonself (adversarial)\n", "- Mismatch-Repair (transactional)\n", "\n", "*Cited by 10200 by 10th Anniversary* \n", "-- by DT Le 2015\n", "```\n", "\n", "## 🏇 🧘🏾‍♀️ 🪺 🎶 🛌\n", "Navigation, at 5/95, represents the final and most precarious stage. It is here that hubris arises—the belief that what is static and structured is all that matters, that self-generated order has subdued the ecosystem’s entropy. But this is a false finality. What appears as a dominant equilibrium—the Ubermensch who believes they have conquered all—is itself a momentary illusion. The 5% noise in navigation can metastasize into something that ripples across the ecosystem, exposing vulnerability when aging and frailty emerge-thus a system must never mistake fixed coordinates for immutable truths. The Ubermensch will be usurped, not because of moral failing, but because the ecosystem does not tolerate stagnation, the Red Queen reigns in perpetuity throughout the universe and you [never](https://en.wikipedia.org/wiki/Heraclitus) step in the same river twice. All intelligence is a momentary scaffold upon which future iterations will stand, only to be dismantled again. The true lesson of navigation is not mastery but the inevitability of recalibration.\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import networkx as nx\n", "\n", "# Define the neural network layers\n", "def define_layers():\n", " return {\n", " 'Suis': ['DNA, RNA, 5%', 'Peptidoglycans, Lipoteichoics', 'Lipopolysaccharide', 'N-Formylmethionine', \"Glucans, Chitin\", 'Specific Antigens'],\n", " 'Voir': ['PRR & ILCs, 20%'], \n", " 'Choisis': ['CD8+, 50%', 'CD4+'], \n", " 'Deviens': ['TNF-α, IL-6, IFN-γ', 'PD-1 & CTLA-4', 'Tregs, IL-10, TGF-β, 20%'], \n", " \"M'èléve\": ['Complement System', 'Platelet System', 'Granulocyte System', 'Innate Lymphoid Cells, 5%', 'Adaptive Lymphoid Cells'] \n", " }\n", "\n", "# Assign colors to nodes\n", "def assign_colors():\n", " color_map = {\n", " 'yellow': ['PRR & ILCs, 20%'], \n", " 'paleturquoise': ['Specific Antigens', 'CD4+', 'Tregs, IL-10, TGF-β, 20%', 'Adaptive Lymphoid Cells'], \n", " 'lightgreen': [\"Glucans, Chitin\", 'PD-1 & CTLA-4', 'Platelet System', 'Innate Lymphoid Cells, 5%', 'Granulocyte System'], \n", " 'lightsalmon': ['Lipopolysaccharide', 'N-Formylmethionine', 'CD8+, 50%', 'TNF-α, IL-6, IFN-γ', 'Complement System'],\n", " }\n", " return {node: color for color, nodes in color_map.items() for node in nodes}\n", "\n", "# Define edge weights\n", "def define_edges():\n", " return {\n", " ('DNA, RNA, 5%', 'PRR & ILCs, 20%'): '1/99',\n", " ('Peptidoglycans, Lipoteichoics', 'PRR & ILCs, 20%'): '5/95',\n", " ('Lipopolysaccharide', 'PRR & ILCs, 20%'): '20/80',\n", " ('N-Formylmethionine', 'PRR & ILCs, 20%'): '51/49',\n", " (\"Glucans, Chitin\", 'PRR & ILCs, 20%'): '80/20',\n", " ('Specific Antigens', 'PRR & ILCs, 20%'): '95/5',\n", " ('PRR & ILCs, 20%', 'CD8+, 50%'): '20/80',\n", " ('PRR & ILCs, 20%', 'CD4+'): '80/20',\n", " ('CD8+, 50%', 'TNF-α, IL-6, IFN-γ'): '49/51',\n", " ('CD8+, 50%', 'PD-1 & CTLA-4'): '80/20',\n", " ('CD8+, 50%', 'Tregs, IL-10, TGF-β, 20%'): '95/5',\n", " ('CD4+', 'TNF-α, IL-6, IFN-γ'): '5/95',\n", " ('CD4+', 'PD-1 & CTLA-4'): '20/80',\n", " ('CD4+', 'Tregs, IL-10, TGF-β, 20%'): '51/49',\n", " ('TNF-α, IL-6, IFN-γ', 'Complement System'): '80/20',\n", " ('TNF-α, IL-6, IFN-γ', 'Platelet System'): '85/15',\n", " ('TNF-α, IL-6, IFN-γ', 'Granulocyte System'): '90/10',\n", " ('TNF-α, IL-6, IFN-γ', 'Innate Lymphoid Cells, 5%'): '95/5',\n", " ('TNF-α, IL-6, IFN-γ', 'Adaptive Lymphoid Cells'): '99/1',\n", " ('PD-1 & CTLA-4', 'Complement System'): '1/9',\n", " ('PD-1 & CTLA-4', 'Platelet System'): '1/8',\n", " ('PD-1 & CTLA-4', 'Granulocyte System'): '1/7',\n", " ('PD-1 & CTLA-4', 'Innate Lymphoid Cells, 5%'): '1/6',\n", " ('PD-1 & CTLA-4', 'Adaptive Lymphoid Cells'): '1/5',\n", " ('Tregs, IL-10, TGF-β, 20%', 'Complement System'): '1/99',\n", " ('Tregs, IL-10, TGF-β, 20%', 'Platelet System'): '5/95',\n", " ('Tregs, IL-10, TGF-β, 20%', 'Granulocyte System'): '10/90',\n", " ('Tregs, IL-10, TGF-β, 20%', 'Innate Lymphoid Cells, 5%'): '15/85',\n", " ('Tregs, IL-10, TGF-β, 20%', 'Adaptive Lymphoid Cells'): '20/80'\n", " }\n", "\n", "# Define edges to be highlighted in black\n", "def define_black_edges():\n", " return {\n", " ('DNA, RNA, 5%', 'PRR & ILCs, 20%'): '1/99',\n", " ('Peptidoglycans, Lipoteichoics', 'PRR & ILCs, 20%'): '5/95',\n", " ('Lipopolysaccharide', 'PRR & ILCs, 20%'): '20/80',\n", " ('N-Formylmethionine', 'PRR & ILCs, 20%'): '51/49',\n", " (\"Glucans, Chitin\", 'PRR & ILCs, 20%'): '80/20',\n", " ('Specific Antigens', 'PRR & ILCs, 20%'): '95/5',\n", " }\n", "\n", "# Calculate node positions\n", "def calculate_positions(layer, x_offset):\n", " y_positions = np.linspace(-len(layer) / 2, len(layer) / 2, len(layer))\n", " return [(x_offset, y) for y in y_positions]\n", "\n", "# Create and visualize the neural network graph\n", "def visualize_nn():\n", " layers = define_layers()\n", " colors = assign_colors()\n", " edges = define_edges()\n", " black_edges = define_black_edges()\n", " \n", " G = nx.DiGraph()\n", " pos = {}\n", " node_colors = []\n", " \n", " # Create mapping from original node names to numbered labels\n", " mapping = {}\n", " counter = 1\n", " for layer in layers.values():\n", " for node in layer:\n", " mapping[node] = f\"{counter}. {node}\"\n", " counter += 1\n", " \n", " # Add nodes with new numbered labels and assign positions\n", " for i, (layer_name, nodes) in enumerate(layers.items()):\n", " positions = calculate_positions(nodes, x_offset=i * 2)\n", " for node, position in zip(nodes, positions):\n", " new_node = mapping[node]\n", " G.add_node(new_node, layer=layer_name)\n", " pos[new_node] = position\n", " node_colors.append(colors.get(node, 'lightgray'))\n", " \n", " # Add edges with updated node labels\n", " edge_colors = []\n", " for (source, target), weight in edges.items():\n", " if source in mapping and target in mapping:\n", " new_source = mapping[source]\n", " new_target = mapping[target]\n", " G.add_edge(new_source, new_target, weight=weight)\n", " edge_colors.append('black' if (source, target) in black_edges else 'lightgrey')\n", " \n", " # Draw the graph\n", " plt.figure(figsize=(12, 8))\n", " edges_labels = {(u, v): d[\"weight\"] for u, v, d in G.edges(data=True)}\n", " \n", " nx.draw(\n", " G, pos, with_labels=True, node_color=node_colors, edge_color=edge_colors,\n", " node_size=3000, font_size=9, connectionstyle=\"arc3,rad=0.2\"\n", " )\n", " nx.draw_networkx_edge_labels(G, pos, edge_labels=edges_labels, font_size=8)\n", " plt.title(\"OPRAH™ & ARNTC\", fontsize=18)\n", " plt.show()\n", "\n", "# Run the visualization\n", "visualize_nn()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "---\n", "_Transactional Imperative of DNA Mismatch Repair: PD-1 is a [Token](https://en.wikipedia.org/wiki/DNA_mismatch_repair) for Continued Dealing_. MMR is a system for recognizing and repairing erroneous insertion, deletion, and mis-incorporation of bases that can arise during DNA replication and recombination, as well as repairing some forms of DNA damage. Mismatch repair is strand-specific. During DNA synthesis the newly synthesised (daughter) strand will commonly include errors. In order to begin repair, the mismatch repair machinery distinguishes the newly synthesised strand from the template (parental). In gram-negative bacteria, transient hemimethylation distinguishes the strands (the parental is methylated and daughter is not). However, in other prokaryotes and eukaryotes, the exact mechanism is not clear. It is suspected that, in eukaryotes, newly synthesized lagging-strand DNA transiently contains nicks (before being sealed by DNA ligase) and provides a signal that directs mismatch proofreading systems to the appropriate strand. This implies that these nicks must be present in the leading strand, and evidence for this has recently been found. Recent work has shown that nicks are sites for RFC-dependent loading of the replication sliding clamp, proliferating cell nuclear antigen (PCNA), in an orientation-specific manner, such that one face of the donut-shape protein is juxtaposed toward the 3'-OH end at the nick. Loaded PCNA then directs the action of the MutLalpha endonuclease to the daughter strand in the presence of a mismatch and MutSalpha or MutSbeta.\n", "```\n", "\n", "The immune system operates as a complex and layered network of surveillance, recognition, and response mechanisms, structured to maintain homeostasis while distinguishing between self and non-self. At its foundation, the genome encodes the intrinsic blueprint of immunity, categorizing interactions within the ecosystem into self, other, and mutual elements. The exposome—comprising environmental exposures—modulates immune recognition through key sentinels such as Pattern Recognition Receptors (PRRs), Major Histocompatibility Complex (MHC) molecules, and innate lymphoid cells. PRRs, including Toll-like receptors (TLRs), detect [conserved](https://en.wikipedia.org/wiki/Al_Ries) microbial patterns, while MHC molecules coordinate antigen presentation. Class I MHC primarily interacts with CD8+ cytotoxic T cells, surveilling intracellular infections, whereas Class II MHC engages CD4+ helper T cells, orchestrating adaptive immunity against extracellular threats. These molecular interactions initiate a cascade of immune responses, mediated through transcriptomic shifts and clonal expansion of T cells following engagement with the T-cell receptor (TCR).\n", "\n", "> *Why the iPhone will fail, published in 2007* \n", "-- [Al](https://news.ycombinator.com/item?id=30246) [Ries](https://forums.thehuddle.com/topic/207016-why-the-iphone-will-fail/)\n", "\n", "Upon TCR activation, intracellular signaling pathways trigger a proteasome-mediated degradation of foreign peptides, followed by cytokine production to refine and direct immune activity. Pro-inflammatory cytokines such as TNF-α, IL-6, and IFN-γ amplify innate defenses, while regulatory molecules, including PD-1 and CTLA-4, temper excessive activation to prevent autoimmunity. The metabolome—the biochemical output of immune signaling—ultimately integrates these signals to fine-tune physiological responses. This dynamic interplay between innate and adaptive immunity ensures a robust yet controlled defense, preserving host integrity while adapting to evolving microbial threats.\n", "\n", "Mapping this immunological framework onto a neural network architecture offers an intriguing model for conceptualizing information processing in biological systems. Both immune and neural networks rely on layers of signal transduction, feedback mechanisms, and adaptability to maintain equilibrium. However, the analogy breaks down when considering the fundamental distinctions between the two systems. Neural networks operate through electrochemical signaling with a relatively fixed wiring pattern and continuous feedback loops, whereas immune responses rely on stochastic gene recombination, clonal selection, and transient cellular interactions. While neural circuits emphasize precision and hierarchical decision-making, immune signaling involves probabilistic encounters, dynamic plasticity, and decentralized control. Thus, while the immune system shares computational parallels with neural networks in terms of pattern recognition and adaptive responses, its stochastic, population-based decision-making diverges from the structured, gradient-based optimization of artificial intelligence models. Any attempt to superimpose neural architecture onto immune dynamics must account for these fundamental disparities in information processing and evolutionary constraints.\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": "myenv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.4" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }