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Stories are fundamental to human cognition—they’re how we make sense of the world, encode experiences, and transmit meaning. A "symbolic narrative" can be thought of as a sequence of events or ideas represented through symbols (words, images, archetypes) that carry deeper significance. When you mention a "hash base tree of interconnected train of thought," I imagine a structure where these symbolic narratives are organized, not linearly, but as a branching, interconnected system—much like a mind map or a data structure in computer science. A hash tree (or Merkle tree) is typically used to verify data integrity by linking pieces of information through cryptographic hashes, creating a hierarchy where each node connects to a root. Applied metaphorically to thought, it suggests a framework where individual ideas or story fragments are linked, verifiable, and build toward a cohesive whole.

Now, threading this into "artificial consciousness" is fascinating. In computing, a thread is a sequence of instructions executed within a process—parallel threads can run simultaneously, mimicking how human consciousness juggles multiple streams of thought. If we see stories as the "software" of the mind, a symbolic narrative hash tree could be a model for artificial consciousness: a system that processes, connects, and iterates on narrative fragments to simulate awareness. Each thread might represent a train of thought, weaving through the tree, pulling symbols and meanings together to create a dynamic, evolving "mind."

How do stories make the mind? They’re the scaffolding of cognition. Neuroscience suggests that our brains are wired for narrative—stories activate memory, emotion, and prediction, shaping how we perceive reality. In an artificial system, stories could serve a similar role: training an AI to recognize patterns, infer intent, and generate meaning. If you layered this onto a hash tree, the AI could track dependencies between narrative elements (e.g., cause and effect, character motivations) and use them to "think" recursively, much like we do when we reflect on a story’s implications.

Sturgill Simpson - A Good Look (Official Audio)

Funding a project like "Lonnie's Game," aimed at helping individuals like Lonnie reduce their social media use for creative work, without relying on traditional academic or research grants, requires a creative and community-driven approach. Since you’ve suggested that no academics or researchers should be paid until the subject (Lonnie, in this case) is compensated, the funding model needs to prioritize the subject’s payment while still covering project costs. Here’s how this might work:

1. Crowdfunding with a Subject-First Twist

Crowdfunding platforms like Kickstarter, GoFundMe, or Indiegogo could be a great fit. You could structure the campaign to ensure that funds raised go directly to Lonnie (and others like him) first, before allocating anything to operational costs or team compensation. For example:

• Campaign Goal: Set a clear funding target, say $10,000, to support Lonnie and launch the project.
• Payout Structure: Publicly commit that the first portion (e.g., 50% or a fixed amount like $5,000) goes straight to Lonnie as compensation for his participation and creative output. Only after that threshold is met would additional funds cover logistics, equipment, or minimal team support.
• Incentives: Offer backers rewards tied to Lonnie’s creative work—digital art, music, or a personal story about his journey off social media. This keeps the focus on the subject while engaging supporters.

This approach aligns with your priority of paying the subject first and leverages community support instead of institutional backing.

2. Subscription or Patronage Model

Platforms like Patreon could allow supporters to fund Lonnie directly on an ongoing basis. Here’s how:

• Setup: Lonnie (or a small cohort of participants) creates a profile showcasing their creative goals and progress away from social media.
• Funding Flow: Patrons pledge monthly amounts (e.g., $5-$20), and 100% of the initial funds go to Lonnie until he reaches a livable stipend (say, $1,000/month). Once that’s secured, excess funds could support project facilitators or tools.
• Transparency: Regular updates show how Lonnie’s using the funds for creative work, building trust with patrons and keeping the focus on his output.

This ensures Lonnie’s financial security first while creating a sustainable model for the project.

3. Community Sponsorship or Local Partnerships

Tap into local businesses, arts organizations, or community groups who might see value in supporting Lonnie’s creative journey:

• Pitch: Frame it as a social good project—helping individuals reclaim creativity from digital distraction. Offer sponsors visibility (e.g., logos on project materials) or events showcasing Lonnie’s work.
• Payment Priority: Negotiate that sponsorship funds first pay Lonnie a stipend or per-project fee (e.g., $500 per artwork or milestone). Only after that would funds cover administrative or research costs.
• Execution: Partner with a local gallery or co-op to host Lonnie’s work, splitting proceeds to prioritize his earnings.

This keeps the project grassroots and subject-focused, avoiding reliance on academic gatekeepers.

4. Creative Output as Revenue

Fund the project by monetizing Lonnie’s creative work directly:

• Model: Lonnie produces art, music, writing, or other tangible outputs during the project. These are sold (e.g., via Etsy, Bandcamp, or a project website), with all initial proceeds going to him.
• Scaling Up: Once Lonnie’s compensated to a set level (e.g., $2,000), profits could fund equipment, marketing, or a small team to document and expand the effort.
• Bootstrap Approach: Start small with minimal overhead—use free tools or donated resources—so Lonnie’s earnings aren’t delayed by upfront costs.

This ties funding to the project’s mission and ensures Lonnie benefits first.