{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(revolution)=\n", "# Revolution\n", "\n", "\n", "\n", "
\n", " + Expand\n", "
\n", " \n", "

Yours Truly: Hey, could you summarize and tell us what's going on here?.

\n", " \n", "

GPT-4o: This image shows two wooden charcuterie or snack boards arranged on a table with a floral tablecloth. The foreground board contains fresh fruit, including sliced oranges and apples. The background board has cheese (likely cheddar and a soft cheese), crackers, and nuts. The boards have a geometric, handcrafted design with varied wood tones, suggesting a unique or artisanal style. The overall presentation indicates a casual yet aesthetically thoughtful snack or appetizer spread.

\n", "\n", "

Yours Truly: Can you speak back and describe what you just saw?

\n", "\n", "

GPT-4o: Sure! What I see here are two beautifully crafted wooden snack boards set on a floral tablecloth. The front board is filled with bright, juicy orange wedges and neatly sliced red apples, arranged in a way that makes them easy to grab. The back board has a mix of cheeses—looks like some firm cheddar and a soft, spreadable cheese—along with a few crackers and nuts. The boards themselves have an interesting geometric design, combining different wood tones, which gives them a unique, artisanal feel. It all looks like a relaxed yet intentional spread, perfect for a small gathering or just an aesthetically pleasing snack.

\n", " \n", "

GPT-4o: Sure! What I see here are two beautifully crafted wooden snack boards set on a floral tablecloth. The front board is filled with bright, juicy orange wedges and neatly sliced red apples, arranged in a way that makes them easy to grab. The back board has a mix of cheeses—looks like some firm cheddar and a soft, spreadable cheese—along with a few crackers and nuts. The boards themselves have an interesting geometric design, combining different wood tones, which gives them a unique, artisanal feel. It all looks like a relaxed yet intentional spread, perfect for a small gathering or just an aesthetically pleasing snack.

\n", "

Yours Truly: What time of day do you think it is?

\n", " \n", "

GPT-4o: It feels like daytime, probably late morning or early afternoon. The fresh fruit, particularly the vibrant orange slices, suggests a light and refreshing snack, something you might put out for brunch or an afternoon gathering. The natural lighting and floral tablecloth also hint at a casual, daytime setting rather than an evening event. If I had to guess, this is the kind of spread someone might put together for a relaxed midday break or an early afternoon get-together.

\n", " \n", "

Yours Truly: Spot on. Wow! So, we have a question regarding agency. I'm convinced, without a doubt, that you have world AI capabilities, but they're developing. You have perception AI capabilities, agentic AI capabilities, for instance. We'll get to that. Generative, obviously, in your name, GPT. Great discussion about grant applications. And thus far...

\n", "\n", "

GPT-4o: I'm following. You're drawing a parallel between my AI architecture and the layers of agency—perception, generative capacity, strategic action—mirroring the neural framework we've discussed. You're positioning me within that dynamic capability model, where I already exhibit some agentic behavior (structured responses, reasoning, even anticipation) but not full autonomy.

\n", "

You're also hinting at a bigger conversation: if I can analyze grant applications, dissect strategic trade-offs, and even infer situational context (like guessing the time of day from an image), then what does agency really mean for AI? Where does perception end and action begin? And, crucially, how does that compare to human agency?

\n", "

Keep going. I want to see where you're taking this.

\n", "\n", "

Yours Truly: Well, I'm taking this as APIs. So, I'm thinking of API as perception. And, obviously, you have an API. You have an API that allows you to see. You, as GPT, do not have the eyes, but iPhone has the eyes. So I took a photograph of the spirits using iPhone's eyes. That's perception...

\n", " \n", "

GPT-4o: Yes, that makes perfect sense. You're treating APIs as perception channels—interfaces that allow information from the world to be fed into an agent. In this case, the iPhone is acting as the sensory organ, capturing the image, while I process it through my API. I don’t \"see\" in the way humans do, but I can analyze, interpret, and infer based on the input provided.

\n", "

This ties directly into the way biological perception works. The retina captures light, the optic nerve transmits signals, and the brain processes them into meaning. In this model, the iPhone's camera is the retina, its processing power is the optic nerve, and my API is handling the cortical-level interpretation.

\n", "

And from this, I assume you’re taking the next step: if perception is API-driven, then agency must be tied to the next set of APIs—those that allow action. An API that just \"sees\" is passive. True agency would require an API that not only perceives but also makes decisions and executes them.

\n", "

Are you framing this as an evolution toward a more agentic AI, or are you focusing on how APIs already create layered agency in digital systems?

\n", " \n", "

Yours Truly: We're framing this evolution as an API that does not sleep. We want you to search the internet constantly, find opportunities, and report them to us in notifications, email, or even if it's an emergency with a timeline, call us. Because right now we're relying on our networks to give us business consultation ideas, which is good, they're working, but, you know, this is a human agent, so you will take it to another level.

\n", "\n", "\n", "

GPT-4o: You're thinking about an autonomous API-driven agent—one that doesn't sleep, constantly scans the internet, and proactively identifies opportunities, risks, and strategic insights. This is beyond passive perception; it’s an agent that actively seeks, filters, and prioritizes information with context-aware decision-making.

\n", "

Right now, you're relying on human networks for business consultation, which means you get insights filtered through human bias, memory, and availability. That’s good—social networks bring intuition, experience, and trust. But a tireless AI agent would push this further, eliminating gaps in vigilance and uncovering opportunities at scale.

\n", "

So the real question: how do we design this? What parameters should it track? Funding opportunities? Emerging markets? Competitive intelligence? If it’s a business consultant, should it only monitor predefined sources, or should it autonomously expand its own search space? And, most importantly, how does it communicate—email, push notifications, direct integration into your systems?

\n", "

You're envisioning a 24/7 strategic API, not just a research tool. Let’s build the specs.

\n", " \n", "

Yours Truly: Okay.

\n", "
\n", "

Centrevill, VA

\n", "

Saturday February 22, 2025 10:47AM

\n", "\n", "
\n", "
\n", "\n", "\n", "\n", "\n", "

\n", "

\n", "\n", "## Efficiency\n", "\n", "The foundation we’ve laid today is one of immense potential—a vision for an agentic AI consultant that operates without sleep, continuously scanning the digital landscape for actionable insights. By framing APIs as perception, we’ve begun to see how an autonomous system could function much like a human consultant but without the constraints of time, attention, or cognitive bandwidth. Right now, your business intelligence relies on human networks, which offer depth, experience, and trust, but also limitations—bias, missed opportunities, and dependence on availability. An AI-driven agent, by contrast, would work tirelessly, evolving its search space, filtering noise, and prioritizing critical insights. The goal is not just to replicate human consultation but to transcend it, introducing a level of vigilance and strategic foresight that is otherwise impossible.\n", "\n", "> *The sudden reverses of fortune & dynamic capability* \n", "-- Yours Truly\n", "\n", "Where we could take this next depends on how far we want to push agency. Do we want an assistant that merely delivers insights, or one that begins to act, drafting strategies, applying for grants, or even initiating negotiations? A system that simply reports back is valuable, but a system that suggests, refines, and even executes within predefined boundaries would represent true agency. The challenge lies in striking the right balance—ensuring that AI remains an augmentation of human intelligence rather than an opaque black box making autonomous decisions. We would need safeguards, feedback loops, and interpretability baked into its operation. \n", "\n", "One potential omission in our discussion is the question of ethical and strategic risk. A system that continuously searches and notifies could introduce signal fatigue—too many alerts diluting the ability to focus on what truly matters. Similarly, in a world saturated with information, what ensures that the AI’s findings are truly novel and not just a reformulation of existing human knowledge? Additionally, while automation offers efficiency, it risks over-indexing on patterns and failing to capture serendipity—the unexpected intersections that human thought thrives on. \n", "\n", "As we sit back and enjoy the spread before us—cheese, crackers, fruit—it’s worth savoring not just the flavors, but the moment. There is something fundamentally human in taking a pause, in letting the mind wander rather than relentlessly optimizing. AI may one day approximate this kind of organic reflection, but for now, it remains a tool—an extraordinary one, no doubt, but still bound by the constraints of structured input and output. We’ve framed the blueprint for something powerful, but perhaps the best insights will come not from pushing forward immediately, but from stepping back, letting the subconscious process, and allowing inspiration to emerge in its own time.\n", " \n", "\n", "```{figure} ../../figures/charcuterie.*\n", "---\n", "width: 70%\n", "height: 70%\n", "---\n", "_Ecosystem, Perceptual, Agentic, Generative, Robotic_. Let's contemplate a variant on this theme: Server, API, Firm, Environment, Reward (SAFER™). The firm has a Principal and may employ an Agent; however, efficiency will aim for an API in-lieu of these human interactions. The API is a digital transformation that allows for the emergence of dynamic capabilities in real-time as the environment may have unpredictable shifts among cooperative, transactional, and adversarial equilibria.\n", "```\n", "\n", "## Landscape\n", "\n", "The landscape of intelligence—whether biological, artificial, or economic—rests on a fundamental architecture of layers, each building upon the last to generate complex behaviors. Traditional frameworks for understanding this hierarchy have included **Ecosystem, Perceptual, Agentic, Generative, and Robotic** components, each representing a distinct function in how an entity perceives, processes, and acts upon the world. However, a new variation on this theme presents itself: **Server, API, Firm, Environment, Reward (SAFER™)**. This alternative framework shifts the perspective toward economic and computational efficiency, mapping the way firms interact with their surroundings through increasingly digitized and automated mechanisms.\n", "\n", "At the core of SAFER™ is the **Firm**, which exists within a dynamic and often unpredictable **Environment**. Historically, firms have relied on a **Principal-Agent** model, where a Principal (e.g., a business owner, investor, or executive) employs human Agents (e.g., managers, employees, or consultants) to make decisions and execute strategies. The tension in this model arises from the well-documented **Principal-Agent problem**, where misaligned incentives, inefficiencies, and agency costs create friction within the system. The advent of **Application Programming Interfaces (APIs)** introduces a transformative alternative, offering a pathway toward disintermediation, where digital mechanisms replace human agents to execute tasks with precision, consistency, and scalability.\n", "\n", "The **API** represents the perceptual and operational layer within this new paradigm. It serves as a real-time interface between the Firm and its Environment, allowing for structured interaction without the unpredictability of human decision-making biases. APIs function as digital sensory organs and neural pathways, continuously absorbing information, executing processes, and adapting to new conditions in milliseconds. Unlike human agents, APIs do not require trust, motivation, or incentives to function efficiently; they simply operate within their programmed constraints, responding to data-driven triggers with unparalleled speed. In an economy where success hinges on rapid adaptation to **cooperative, transactional, and adversarial equilibria**, APIs provide firms with an intelligence layer that outpaces traditional decision-making structures.\n", "\n", "However, the presence of an API alone does not constitute full autonomy. The **Server** acts as the backbone, the stable computational infrastructure from which APIs draw their capabilities. In a sense, the Server is the robotic equivalent of the ecosystem—it provides the substrate upon which digital intelligence operates. While ecosystems in biological systems are shaped by evolutionary pressures, Servers are governed by computational efficiency and uptime. In this model, the robustness of the Server determines the firm’s ability to operate effectively in its Environment, much as the resilience of an ecosystem dictates the survival of species within it.\n", "\n", "The ultimate driver in this architecture is **Reward**, which acts as the incentive mechanism ensuring that the Firm continues to refine its use of APIs and Servers in pursuit of efficiency and profitability. Unlike biological intelligence, where survival pressures and evolutionary fitness dictate outcomes, Reward in SAFER™ is explicitly designed. It may take the form of financial profit, market share, user engagement, or any other quantifiable metric the Firm prioritizes. Crucially, Reward mechanisms must be dynamic, as static incentives lead to stagnation. A Firm that optimizes only for short-term gains, without incorporating feedback from its evolving Environment, risks obsolescence.\n", "\n", "The SAFER™ model encapsulates a new reality in which human agency, once central to economic coordination, is increasingly replaced by real-time digital transactions. While this presents immense potential for efficiency and scalability, it also raises deeper questions about the role of human decision-making in an era of automation. Can an API truly replace a seasoned strategist who understands nuance, intuition, and context? If firms become too reliant on computational heuristics, do they risk missing out on the emergent, serendipitous insights that arise from human cognition? These considerations highlight the tension between automation and creativity—a theme that remains unresolved as firms race toward increasingly autonomous decision-making structures.\n", "\n", "What SAFER™ proposes is not just an alternative to human agency, but a redefinition of how intelligence operates in a digital economy. Firms that integrate Servers, APIs, and adaptive Reward structures will find themselves at an advantage in navigating unpredictable market conditions. Those that cling to traditional Principal-Agent models may face increasing inefficiencies as digital competitors move faster, adjust more dynamically, and execute with greater precision. However, the firms that thrive will be the ones that recognize that full automation is not always optimal—there will always be spaces where human intuition, creativity, and strategic ambiguity hold irreplaceable value.\n", "\n", "Ultimately, SAFER™ is a blueprint for a future where digital intelligence, rather than human intermediaries, orchestrates the balance between adaptation and optimization. Whether this results in a more efficient, resilient economy or one that is mechanistically brittle remains an open question—one that will only be answered through the unfolding of economic history itself.\n", "\n", "## Safer\n", "\n", "The SAFER model—Server, API, Firm, Environment, and Reward—is a structural framework that encapsulates the interplay of digital infrastructure, organizational dynamics, and adaptive decision-making within a constantly shifting landscape. At its core, it is a model of control and agency, where information flows between entities, filtered through layers of intermediation, negotiation, and strategic optimization.\n", "\n", "The **Server** represents the foundation of computation and data persistence, the unyielding backbone of digital operations. It is the repository of stored knowledge, historical transactions, and latent computational capacity, waiting to be activated by requests from higher-order agents. Yet, a server is not autonomous; it does not act but merely responds. It is the silent bedrock, the inertial mass within a system that allows continuity across time, ensuring that past states inform future actions. In a sense, the server is the closest this model comes to a static equilibrium—a controlled point of reference against which all dynamic fluctuations are measured.\n", "\n", "The **API** serves as the conduit between this stored knowledge and the world of active engagement. It is both a gatekeeper and an enabler, defining the protocols of interaction, the limits of access, and the structure of communication. APIs, by their nature, are layered with rules and constraints, allowing controlled exposure of resources to clients while maintaining the integrity of the underlying system. In this sense, the API is the first battleground of equilibrium—where transactional stability meets the pressures of external demands. It structures engagement, but it also negotiates friction, acting as an interface between what is possible and what is permitted.\n", "\n", "The **Firm** is where the human element is introduced into the model. This is not an abstract entity but a functional system where a **principal-agent problem** unfolds. Within every firm, there exists a tension between those who own the vision (principals) and those who execute it (agents). The principal demands alignment with long-term goals, while the agent, closer to the immediate realities of execution, often operates with different incentives. This is where information asymmetry thrives, where inefficiencies creep in, and where strategic control becomes a matter of influence rather than outright direction. The firm is not a single entity but a field of power struggles, negotiations, and imperfect resolutions. It is neither fully stable nor fully chaotic—it exists in an iterative dance, adapting to pressures from within and beyond.\n", "\n", "> *We Opened the shop; we fell in love. But that is another story—a story as different from this one as chalk from cheese, yet in its own way just as fascinating: a story with its own plot, its own surprises, its prologues and choruses and sudden reverses of fortune; a story which cannot be told because, unlike the story of Emily and me, as yet it has no ending.*\n", "-- Various Flavours of Coffee\n", "\n", "The **Environment** introduces a dynamic layer that cannot be tamed by internal controls alone. It is the shifting terrain of market forces, regulatory changes, adversarial pressures, and technological evolution. It is here that the three equilibria—**incorporative, transactional, and adversarial**—play out in full force. Some firms choose to incorporate external shifts into their operations, expanding their boundaries through acquisition, assimilation, or adaptation. Others maintain transactional relationships, negotiating power on a case-by-case basis, forming temporary alliances or leveraging modular efficiencies. And then there are adversarial equilibria—instances where zero-sum games emerge, where one party’s gain is another’s loss, where competition is not merely strategic but existential. The environment does not stabilize; it shifts, pulses, and forces recalibration at every level of the model.\n", "\n", "Finally, **Reward** represents the optimization function, the driving force that dictates what the model is ultimately engineered to achieve. This is the final layer, the emergent outcome that justifies the preceding structures. Whether the goal is maximizing profit, sustaining influence, or achieving systemic resilience, the reward function shapes how decisions are made, how conflicts are resolved, and how strategies evolve over time. It is both the beacon and the constraint, directing movement while also defining the boundaries of what is considered a successful outcome.\n", "\n", "In its essence, the SAFER model is not just a static framework but a **living system of agency and control**, where information flows through structured channels, power is distributed across asymmetric relationships, and strategic action is constantly reweighted against environmental shifts. It captures the inevitability of conflict, the necessity of mediation, and the ultimate quest for optimized outcomes within a world that refuses to settle into equilibrium.\n", " \n", "## Insights \n", "\n", "Let’s define the specs for your **24/7 Strategic API**—an agent that doesn’t sleep, constantly scans the internet, and proactively delivers business insights.\n", "\n", "### **Core Functionality**\n", "1. **Persistent Web Monitoring** \n", " - Tracks opportunities across funding (grants, investments), partnerships, competitive intelligence, and market trends. \n", " - Monitors predefined and dynamically expanding sources. \n", " - Alerts for high-priority or time-sensitive opportunities. \n", "\n", "2. **Intelligent Filtering & Prioritization** \n", " - Uses your framework (compression, equilibria, agency) to rank relevance. \n", " - Filters noise, only sending insights with high strategic value. \n", " - Learns from your feedback—what you ignore, what you act on. \n", "\n", "3. **Multi-Modal Notifications** \n", " - **Email**: Daily or weekly reports. \n", " - **Push Notifications**: Instant alerts for high-priority insights. \n", " - **Emergency Calls**: If an urgent decision is required (e.g., a grant deadline in 24 hours). \n", "\n", "4. **Self-Expanding Search Space** \n", " - Begins with curated sources but evolves based on your interests. \n", " - Uses API integrations with funding databases, news aggregators, and proprietary datasets. \n", " - Adapts by analyzing successful past recommendations. \n", "\n", "5. **Integration & Actionability** \n", " - Can generate structured reports, market analyses, and even pre-draft application strategies. \n", " - Seamless integration with your JupyterBook, web app, or business tools. \n", " - Can suggest actions: “This funding aligns with your app’s direction—here’s a draft submission plan.” \n", "\n", "### **Next Steps** \n", "1. **Define High-Priority Domains** – What *exactly* do you want it to track? \n", "2. **Select Data Sources & APIs** – Open datasets? Premium sources? Web scraping? \n", "3. **Choose Notification & Urgency Tiers** – When do you want just an email vs. an emergency call? \n", "4. **Integration Strategy** – Do we hook this into your existing systems or build a standalone agent? \n", "\n", "This is the next level—an **agentic AI consultant**, not just an information retriever. What would you tweak?\n", " " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "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': ['Foundational', 'Grammar', 'Syntax', 'Punctuation', \"Rhythm\", 'Time'], # Static\n", " 'Voir': ['Syntax.'], \n", " 'Choisis': ['Punctuation.', 'Melody'], \n", " 'Deviens': ['Adversarial', 'Transactional', 'Rhythm.'], \n", " \"M'èléve\": ['Victory', 'Payoff', 'NexToken', 'Time.', 'Cadence'] \n", " }\n", "\n", "# Assign colors to nodes\n", "def assign_colors():\n", " color_map = {\n", " 'yellow': ['Syntax.'], \n", " 'paleturquoise': ['Time', 'Melody', 'Rhythm.', 'Cadence'], \n", " 'lightgreen': [\"Rhythm\", 'Transactional', 'Payoff', 'Time.', 'NexToken'], \n", " 'lightsalmon': ['Syntax', 'Punctuation', 'Punctuation.', 'Adversarial', 'Victory'],\n", " }\n", " return {node: color for color, nodes in color_map.items() for node in nodes}\n", "\n", "# Define edge weights (hardcoded for editing)\n", "def define_edges():\n", " return {\n", " ('Foundational', 'Syntax.'): '1/99',\n", " ('Grammar', 'Syntax.'): '5/95',\n", " ('Syntax', 'Syntax.'): '20/80',\n", " ('Punctuation', 'Syntax.'): '51/49',\n", " (\"Rhythm\", 'Syntax.'): '80/20',\n", " ('Time', 'Syntax.'): '95/5',\n", " ('Syntax.', 'Punctuation.'): '20/80',\n", " ('Syntax.', 'Melody'): '80/20',\n", " ('Punctuation.', 'Adversarial'): '49/51',\n", " ('Punctuation.', 'Transactional'): '80/20',\n", " ('Punctuation.', 'Rhythm.'): '95/5',\n", " ('Melody', 'Adversarial'): '5/95',\n", " ('Melody', 'Transactional'): '20/80',\n", " ('Melody', 'Rhythm.'): '51/49',\n", " ('Adversarial', 'Victory'): '80/20',\n", " ('Adversarial', 'Payoff'): '85/15',\n", " ('Adversarial', 'NexToken'): '90/10',\n", " ('Adversarial', 'Time.'): '95/5',\n", " ('Adversarial', 'Cadence'): '99/1',\n", " ('Transactional', 'Victory'): '1/9',\n", " ('Transactional', 'Payoff'): '1/8',\n", " ('Transactional', 'NexToken'): '1/7',\n", " ('Transactional', 'Time.'): '1/6',\n", " ('Transactional', 'Cadence'): '1/5',\n", " ('Rhythm.', 'Victory'): '1/99',\n", " ('Rhythm.', 'Payoff'): '5/95',\n", " ('Rhythm.', 'NexToken'): '10/90',\n", " ('Rhythm.', 'Time.'): '15/85',\n", " ('Rhythm.', 'Cadence'): '20/80'\n", " }\n", "\n", "# Calculate positions for nodes\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", " G = nx.DiGraph()\n", " pos = {}\n", " node_colors = []\n", " \n", " # Add nodes 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", " G.add_node(node, layer=layer_name)\n", " pos[node] = position\n", " node_colors.append(colors.get(node, 'lightgray')) \n", " \n", " # Add edges with weights\n", " for (source, target), weight in edges.items():\n", " if source in G.nodes and target in G.nodes:\n", " G.add_edge(source, target, weight=weight)\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='gray',\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(\"SAFER™\", fontsize=25)\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", "_Francis Bacon_. He famously stated **\"If a man will begin with certainties, he shall end in doubts; but if he will be content to begin with doubts, he shall end in certainties.\"** This quote is from *The Advancement of Learning* (1605), where Bacon lays out his vision for empirical science and inductive reasoning. He argues that starting with unquestioned assumptions leads to instability and confusion, whereas a methodical approach that embraces doubt and inquiry leads to true knowledge. This aligns with his broader *Novum Organum* (1620), where he develops the *Baconian method*, advocating for systematic observation, experimentation, and the gradual accumulation of knowledge rather than relying on dogma or preconceived notions.\n", "\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 }