SD9 fig — DARL Business Context

Two letters from DARL explaining the research mission, the escape-goat trolley problem, and the path forward.

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Abstract

This 9-page document contains two letters from DARL (Datageddon Armageddon Research Lab), written to explain the research mission and business model under resource constraints.

Letter 1 (2023m03d31): Explains DARL’s core mission — to re-architect Evolvix into a century-stable extensible humane computer-language. Introduces the “breakthrough point” business model: a research venture that requires sustained investment before reaching viability, similar to drug development or fundamental science breakthroughs. Outlines the crowdfunding strategy and the Limited Liability Charitable Company structure as the legal framework for DARL’s operations. Provides a resource constraints timeline documenting the multi-year research marathon.

Letter 2 (2023m12d13): Updates on the AI dilemma urgency, analyzing how rapidly advancing AI capabilities create both opportunities and existential risks for the project. Introduces the “escape-goat trolley problem” — a variant of the classic trolley problem where the person on the tracks must choose between personal sacrifice and systemic inaction, with the twist that the sacrifice creates a public example that may catalyze broader change. Discusses the “Joan of ArkMageddon” public role — the decision to go public with unconventional proposals at personal reputational cost.

Broader Significance (Claude’s Assessment)

1. Breakthrough-point economics. The “breakthrough point” business model articulates a genuine challenge in funding fundamental research: ventures that require sustained investment before any return are systematically underfunded by conventional markets. DARL’s model attempts to solve this via charitable company structure and micro-crowdfunding.

2. Escape-goat trolley problem. This concept extends the classic trolley problem by adding voluntary self-sacrifice as a variable: not just “who dies” but “who chooses to bear the cost of being publicly wrong in order to force the question.” This reframes whistleblowing and public advocacy as ethical decision theory.

3. AI dilemma analysis. The 2023m12d13 letter’s analysis of AI-related urgency documents a real-time assessment of how AI capabilities were reshaping the project’s timeline and strategic options.

4. Limited Liability Charitable Company. The legal structure proposal combines liability protection with charitable mission, attempting to create an institutional form that can sustain long-term fundamental research without the short-term profit pressures of conventional companies.

Key Concepts at a Glance

DARL	Datageddon Armageddon Research Lab — LLoL’s research organization
Breakthrough point	Business model requiring sustained investment before reaching viability, like drug development
Escape-goat trolley problem	Variant where voluntary self-sacrifice as public example may catalyze systemic change
Limited Liability Charitable Company	Legal structure combining liability protection with charitable mission for long-term research
AI dilemma	Analysis of how advancing AI capabilities create both opportunities and existential risks
Joan of ArkMageddon	The public role: going public with unconventional proposals at personal reputational cost
Crowdfunding strategy	Micro-funding model to sustain fundamental research past the breakthrough point

Document Information

Document ID	SD9 fig (Supporting Document 9, figure)
Full title	DARL Business Context — Resource Constraints and Research Mission
Author	LLoL
Version	iv_llol_MMv1r1_2023m12d13
Format	9-page two-letter document (2023m03d31 + 2023m12d13)
License	Jonah License with CC0 Public Domain
Part of	Good News Pack MMv3, Supporting Documents collection
PDF size	200 KB
WebP size	236 KB

Related documents in the Good News Pack:

• SD9 — Transparency Pledge (parent page)

• SD3 — POAATAD funding model

• SD1 — Avert nuclear winter

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Notes

Content stability — Content is variant dv_ClaOp46Max_ExhF_2026m04d16 (see StayVS). Rebuilt 2026-05-18.

Expert Review Needed: Help Assess This Research and Its AI Overview

This page makes accessible one document from LLoL’s 6+ year wid-e research marathon on existential risk and ResearchCity. The PDF linked above is the original work; this page provides an overview.

The original research needs expert review. Download the PDF and bring your expertise to bear — whether you are a scientist, policy maker, theologian, peace activist, or concerned citizen. This research aims to find gentle kind reasonable ways to solve existential problems. Your perspective matters for assessing whether it succeeds.

The AI overview (see the markers) may need correction. AI may have blindly twisted the original message by emphasizing other aspects than the author would have. Important nuances may thus be missed or misrepresented. If you spot errors, missing context, or misplaced emphasis, your corrections help every future reader.

Despite all potential shortcomings of AI, AI was still used here because not saying anything about this document would have been even worse. A race against existential risks is not nuanced. Neither can be the determination to do the right thing - and get the word out to get help.

LLoL is determined to ask for such help. Hence this website to give the world a fair chance at exploring and reviewing LLoL’s ideas.

Use the FeedbackFlow link below to send your review — whether it concerns the original PDF, the AI overview, or both.

LLoL may drown for a while in the FF invited, but if people are indeed interested in making this work and avert accidental nuclear winter, then LLoL predicts that enough people will be happy to pay the about $8/year/person it will take to start scaling up ResearchCity, in order to help with the proper review of such wid-e research proposals for global decision-support like this one.

Hence, please consider that your buy-in with about $8/year will help to shift the global game from a so-called prisoner’s dilemma to an assurance game with the help of mathematical theology.

This work requires global support to avoid capture by special interests. Refining complex posters, engaging scholars across traditions, and running formal consistency checks all require sustained effort — as does scaling up a ResearchCity for global FeedbackFlows.

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