Gamified Global Problem-Solving Platform

Whitepaper v2.0 – API-First + Email Listserv Interface
Turning the Internet into a real-time strategy game for humanity

Executive Summary

Artificial intelligence in 2025 enables the gamification of the entire Internet as a decentralized, AI-orchestrated, blockchain-verified problem-solving engine.

Every human becomes a player. Every dataset, action, and idea is a quest.

Relevance Points (RP) are earned via verifiable real-world impact.
World-changing prizes are released automatically via smart contracts.

This updated blueprint adds:
1. A public REST/GraphQL API – any app, bot, or service can plug in.
2. Email-only interaction mode – a zero-app, listserv-style interface for maximum accessibility.
3. Simplified UX – one email = one quest submission; one reply = one vote.

Table of Contents

1. [Introduction]
2. [System Architecture Overview]
3. [Core Components]
4. [API Specification]
5. [Email Listserv Interface]
6. [Infrastructure & Servers]
7. [Software Stack & Codebase]
8. [Blockchain Integration]
9. [Security & Anti-Cheating]
10. [Funding & Prize Mechanics]
11. [Governance Framework]
12. [Deployment Roadmap]
13. [Conclusion]

Appendices: A. Periodic Table of Purpose

1. Introduction

The platform turns passive scrolling into active impact.
Users earn Relevance Points (RP) by completing AI-generated, blockchain-verified quests in health, climate, energy, equity, and beyond.

New in v2.0:
– API-first design – build bots, dashboards, or integrations in hours.
– Email listserv mode – participate with zero app install, like a 1990s mailing list with superpowers.

The sustainability of this gamified problem-solving platform stems fundamentally from its alignment with real, impactful human and environmental challenges, driving genuine health, well-being, and solution-oriented outcomes. By converting pressing societal issues—such as public health crises, environmental degradation, social equity, and economic challenges—into engaging quests, the platform motivates widespread participation through meaningful incentives like Relevance Points and community recognition.

Gamification has been shown to boost motivation, promote long-term behavior change, and foster collaboration, making complex problems approachable and solvable at scale. The interactive nature encourages continuous learning, creativity, and social engagement, which extends beyond simple awareness to actual positive action. This creates an ecosystem where every user contribution builds cumulative value, as validated solutions and interventions flow back into communities, improving sustainability and resilience. The use of blockchain and AI enhances transparency, trust, and verifiability of impact, ensuring that rewards and recognition correspond to real-world results.

Thus, the platform’s design inherently supports self-sustaining growth by focusing on authentic problem-solving that benefits individuals, society, and the planet—transforming passive news consumption into active global stewardship and measurable progress. Unlike Bitcoin (BTC) which has no inherent value, no backing, this Gamified Global Problem-Solving Platform (GGPSP) system is deeply relevant and remains tied long term to real human benefits.

2. System Architecture Overview

3. Core Components

3a. Public API

The Public API serves as the comprehensive interface for all user interactions with the platform, implemented using a hybrid approach combining REST and GraphQL to optimize flexibility and efficiency. Users can pick their own areas of interest by filtering quests according to categories such as health, climate, energy, or equity; they can also browse curated lists or simply view random quests to discover new challenges. REST endpoints handle operations like quest submission, voting, and user authentication, ensuring compatibility and ease of integration, while GraphQL queries efficiently retrieve dynamic data sets such as active quests, leaderboards, and user stats, allowing clients to request exactly the data they need in a single call. This hybrid API design supports seamless exploration and participation by offering tailored quest discovery modes—whether customized filtering, browsing popular or urgent quests, or casual engagement through random challenges—addressing diverse user preferences and maximizing accessibility within an API-first gamified problem-solving environment.

3b. Email Gateway

The Email Gateway functions as a critical intermediary that parses inbound emails and translates them into structured API calls to the platform. It is implemented primarily in Node.js, leveraging Amazon Web Services infrastructure, specifically Postmark and AWS Simple Email Service (SES) for email delivery and receipt. Incoming emails directed at the platform’s quest submission addresses are first received by AWS SES, which securely ingests and stores the email data. SES then triggers AWS Lambda functions that invoke the Node.js Email Gateway service. This gateway parses each email’s content—extracting text, attachments, and metadata such as sender address, timestamps, and GPS coordinates embedded in photos. Once parsed, the gateway converts this data into API requests conforming to the platform’s Quest Engine endpoints, such as /quests/submit. Postmark is integrated to manage transactional email sending, templating, and reliable delivery feedback. The use of Postmark alongside AWS SES ensures robust processing and scalable email handling. This architecture enables zero-app quest submission and voting through simple email replies, meeting the whitepaper’s goal of maximum accessibility while tightly integrating email communication into an API-first problem-solving platform.

3c. Quest Engine

The Quest Engine is a core backend component implemented using Python and FastAPI, designed to create, assign, and validate quests efficiently and scalably. Using FastAPI’s modern web framework capabilities, the Quest Engine exposes RESTful endpoints for quest lifecycle management—allowing quests to be dynamically generated (from AI or curated sources), assigned to users or groups, and tracked through submission and verification stages. Data models defined with Pydantic ensure that quest metadata, user submissions, and proof attachments are automatically validated for correct structure and types before processing. The asynchronous capability of FastAPI enables handling large volumes of concurrent quest-related requests in real-time. Built-in dependency injection and modular routing make it extensible, supporting integrations with AI modules (Quest Generator and Oracle) for automated quest creation and impact scoring, as well as blockchain components for on-chain voting and prize distribution. This robust architecture facilitates a responsive, API-first gamified problem-solving platform

3c.1 Quest Sources

News headlines – Bona fide news sources will be a starter for quests. Most every news headline represents some kind of human problem, or at least something perceived as a challenge or issue relevant to people. Studies show that approximately 90% of news coverage is negative or sensationalist, emphasizing problems, conflicts, or threats to capture attention. This negative bias reflects human evolutionary tendencies to focus on threats or problems that require attention for survival. Headlines frequently highlight issues such as crime, disasters, health scares, and social conflicts, which are all forms of human problems or risks. This framing can sometimes lead to a distorted view, as some major causes of human suffering like diseases (heart disease, cancer) often receive far less media coverage compared to more sensational but less common events like terrorism or homicides. Still, the content and headlines largely revolve around what affects humans negatively or poses challenges, which aligns with the idea that news frames the world in terms of significant human problems needing solutions or awareness.

Newsi8’s robust foundation powers the Gamified Global Problem-Solving Platform (GGPSP) by transforming raw data into dynamic, actionable quests for planetary-scale challenges. Our headline database, now exceeding 100,000 entries from 99+ live global news feeds, fuels the Quest Engine as the primary source for AI-generated tasks—tagging real-time issues like climate crises or geopolitical tensions into gamified missions with difficulty levels, Relevance Points (RP) rewards, and verifiable impact verification. Updated twice daily, these headlines are accessible via our automated “Know Views Podcast” aggregation at https://newsi8.com/today, which delivers audio-optimized feeds for seamless listening (even offline in Airplane Mode), complete with random educational facts and links to full articles. Users can dive deeper through our intuitive keyword search tool at https://newsi8.com/news-headlines-search/, enabling precise filtering of past and present stories to spark custom quest proposals vetted by AI and community voting.

Complementing this immediacy is our visionary “Periodic Table of Purpose”—a comprehensive, AI-refined framework of 118 sub-goals distilled over years from global sustainability roadmaps, spanning governance (e.g., ethical AI treaties), health (e.g., universal access), environment (e.g., renewable transitions), and resilience (e.g., pandemic early-warning systems). Unveiled in our long-term human survival blueprint at https://newsi8.com/how-to-save-the-humans-long-term/, it aligns every headline-derived quest to cumulative progress toward species thriving, ensuring individual contributions build equitable, blockchain-secured outcomes for healthier, more innovative futures.

To convert a database of 100,000+ news headlines into the foundation for a gamified solution platform here is one approach:

• Classify and Tag Headlines as Quests: Use AI/NLP to categorize each headline by problem type or category (health, climate, energy, equity, etc.). Convert each headline into a “quest” by defining specific user actions or investigation tasks related to solving or understanding that problem.
• Assign Difficulty and Rewards: Estimate difficulty levels based on the complexity or scale of the problem and assign Relevance Points (RP) rewards accordingly. This gamifies the challenge and motivates participation.
• Create Proof Submission and Verification Flows: Develop user-friendly ways for participants to submit their proof or solutions (photos, research summaries, data, links). Integrate AI or crowd/community validation as in the whitepaper’s Quest Engine and AI Oracle for verifying impact.
• Leverage Existing Gamification Mechanics: Incorporate leaderboards, voting, point decay, reputation weighting, and blockchain-based transparent rewards to engage and incentivize users long term.
• Build API/Platform Integration: Connect the news headline database and quest system with a public API and/or email interface to allow easy quest discovery, submission, and voting.
• Iterate and Scale: Start with a pilot set of quests drawn from recent or relevant headlines and expand using continuous AI-generated quests and community input.

This process essentially transforms passive news consumption into active problem-solving quests, matching this whitepaper’s vision. Gamification is known to boost engagement and retention, especially when offering clear rewards and social competition. Using AI/NLP tools for content classification and task generation will enable scaling and automation.

User quests – After a certain RP gain from solving news generated quests, a user will gain the ability to propose quests. If voted affirmative by other humans and after being vetted for duplication of existing quests, spam, etc. by AI, user quests will enter the quest pool.

3d.1 AI Oracle – Is AI in 2025 up to the task of creating Quests and Assigning RP/Difficulty?

Here, with thanks to Zero Hedge, is a categorized classification of sample news headlines into problem types, each converted into a “quest” with defined user actions, plus difficulty and Relevance Points (RP) rewards estimates for gamification:

AI in 2025 can effectively aid initial automated classification and task generation, especially with clear categories and templates. Difficulty and RP rewards are estimates based on headline complexity, potential societal impact, and effort expected. This structured approach provides the foundation for a gamified quest platform aligned with the whitepaper’s vision.

This table can be scaled to ar full headline database with AI/NLP pipelines, human curation, and integration into a gamification system with points, voting, and rewards.

3d.2 – Is AI in 2025 up to the task of determining what will be accepted as proof of work?

AI in 2025 provides strong capabilities for verifying text, image, and data proofs submitted for quests, supported by blockchain-backed immutability and reputation-weighted community validation. Complex quests still benefit from human oversight, while routine proof types can be reliably processed by AI alone, enabling scalable, trustworthy gamified impact verification as envisioned in the whitepaper.

AI Verification Technologies in 2025 include:

• Interactive proof assistants and theorem provers for logical consistency.

• Explainable AI (XAI) for transparency in reasoning steps.

• Multi-layer identity and document verification with liveness detection.

• Distributed verification consensus with cryptographic proof-of-verification stored on blockchain.

• Hybrid AI-human review workflows for high-impact or ambiguous cases.

Here is a brief proof requirement and AI validation method for each quest from your headlines:

1. Research on Palantir and Nvidia holdings – Proof: Submit data-backed report or infographic summarizing stock moves with credible financial sources. AI Validation: NLP verifies data consistency, source credibility, cross-references with financial databases.

2. Iran’s nuclear facilities rebuilding – Proof: Official news links, satellite imagery, governmental reports. AI Validation: Image recognition on satellite photos, source verification, fact cross-checking.

3. Geopolitical stance analysis (China)
   Proof: Analytical essay with cited expert opinions and geopolitical data.
   AI Validation: NLP checks argument coherence, source authenticity, detects biased or false claims.

4. Supreme Court ruling impact on adult entertainment – Proof: Legal documents, court rulings, expert commentaries. AI Validation: Text similarity analysis and metadata validation for authenticity.

5. Military incident fact verification – Proof: Official military statements, media reports, vetted eyewitness accounts. AI Validation: Cross-modality verification combining text and image/video AI classifiers.

6. Demographic and political trend report – Proof: Statistical charts, census data summaries. AI Validation: Statistical data validation, anomaly detection, data source confirmation.

7. Corruption investigation – Proof: Legal indictments, credible news articles, financial audit summaries. AI Validation: Document integrity check, cross-referencing public records.

8. Civic illiteracy awareness campaign – Proof: Campaign materials, event photos, social media engagement metrics. AI Validation: Image authenticity verification, social media sentiment analysis.

9. Plastic bag fee policy analysis – Proof: Policy documents, community feedback, environmental impact summaries. AI Validation: Text verification and sentiment crowdsourcing.

10. FDA supplement recall alert – Proof: FDA alerts, lab testing reports, consumer incident logs. AI Validation: Data matching with official FDA databases and anomaly detection.

11. Credit scoring comparison report – Proof: User surveys, expert analysis, credit agency publications. AI Validation: NLP validation of sources, data integrity check.

12. College value economic survey – Proof: Survey results, economic data sets, expert commentaries. AI Validation: Statistical verification and survey authenticity assessment.

13. Coin shortage impact investigation – Proof: Retailer invoices, government communications, news reports. AI Validation: Cross-checking claims with official statements, anomaly detection in data.

14. Solar market cautionary report – Proof: Financial loss reports, investment summaries, expert interviews. AI Validation: Fact validation and credibility scoring.

15. Diplomatic ceasefire claim fact check – Proof: Official diplomatic releases, media interviews, verified news reports. AI Validation: Fact cross-referencing, video/audio forensic analysis.

In all cases, AI verifies source authenticity, cross-checks multiple data modalities (text, images, data), uses anomaly detection to flag inconsistencies, and optionally routes uncertain cases for human review or community voting, supported by blockchain-logged proof submissions to ensure tamper resistance. This hybrid AI + human + blockchain framework is aligned with this whitepaper’s vision for proof submission and validation.

3e – The Voting Engine

The Voting Engine uses a quadratic voting mechanism combined with reputation-weighted influence to ensure fair and balanced decision-making on-chain. Implemented in Solidity smart contracts, it requires voters to expend voice credits quadratically — meaning the cost of casting multiple votes grows as the square of the number of votes, preventing large stakeholders from dominating outcomes disproportionately. Reputation weighting further refines voting power by factoring in user history and contributions, promoting accountability and rewarding constructive participation. The system integrates with The Graph to index real-time voting data, enabling transparency and efficient querying for frontends and governance analytics. This hybrid design balances democratic participation with resistance to vote buying or spam, aligning closely with decentralized governance best practices and supporting dynamic, community-driven protocol evolution as envisioned in the whitepaper.

3f – The Points System

The Points System is responsible for the real-time accrual and decay of Relevance Points (RP), ensuring that users’ contributions are fairly rewarded while maintaining an active and balanced ecosystem. It leverages PostgreSQL for reliable, persistent storage of user scores, quest completions, and historical transaction data, providing strong consistency guarantees. Complementing this, Redis Streams handle high-throughput event processing and real-time updates to points balances, enabling rapid response to user actions such as quest submissions, votes, or penalties. The system implements rules for RP decay over time to encourage ongoing participation and prevent stale point accumulation. Together, the combined use of PostgreSQL and Redis Streams allows scalable, low-latency management of point dynamics that reflect both recent activity and longer-term reputation, forming the quantitative backbone of the platform’s gamification and incentive mechanisms as envisioned in the whitepaper.

4. API Specification (OpenAPI 3.1)

openapi: 3.1.0
info:
  title: Relevance Engine API
  version: 2.0.0
  description: Public API for quest submission, voting, and leaderboard access.
servers:
  - url: https://api.relevance.game/v2
paths:
  /auth/email:
    post:
      summary: Authenticate via email magic link
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                email: { type: string, format: email }
      responses:
        '200': { description: Magic link sent }
  /quests/active:
    get:
      summary: Get active quests (paginated)
      responses:
        '200':
          content:
            application/json:
              schema:
                type: array
                items: $ref: '#/components/schemas/Quest'
  /quests/submit:
    post:
      summary: Submit quest proof (text, image, URL, file)
      security: [bearerAuth]
      requestBody:
        content:
          multipart/form-data:
            schema:
              type: object
              properties:
                quest_id: { type: string }
                proof_text: { type: string }
                proof_image: { type: string, format: binary }
                proof_url: { type: string }
      responses:
        '202': { description: Submission queued for AI review }
  /votes/cast:
    post:
      summary: Cast vote (quadratic or 1-click)
      security: [bearerAuth]
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                proposal_id: { type: string }
                support: { type: boolean }
                voice_credits: { type: integer, minimum: 1 }
      responses:
        '200': { description: Vote recorded on-chain }
components:
  schemas:
    Quest:
      type: object
      properties:
        id: string
        title: string
        category:
          type: string
          enum: [health, climate, energy, equity]
        difficulty:
          type: integer
          minimum: 1
          maximum: 5
        reward_rp: integer
        deadline: string
        verification_type:
          type: string
          enum: [ai, community, oracle]
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer

> Full OpenAPI spec: [https://api.relevance.game/openapi.json]  (live endpoint)

5. Email Listserv Interface (Zero-App UX)

How It Works

1. Subscribe: Send email to `join@relevance.game` → receive magic link → confirmed.
2. Daily Digest: One email/day with 3 active quests.
3. Submit: Reply to any quest email with proof (text, photo, link).
4. Vote: Forward a proposal email → type `+1` or `-1` → vote recorded.

Email Flow Example

From: quests@relevance.game
Subject: [Quest #42] Plant 3 trees this week – 150 RP

Prove it: Send photo + GPS tag before Sun 23:59 UTC
Reply to submit.

User replies:

> Attached: tree_photo.jpg
> Location: 40.7128° N, 74.0060° W
> Planted 3 oak saplings in Central Park.

→ Email parsed → `/quests/submit` API called → AI verifies → RP awarded → blockchain log.

Technical Implementation

– Inbound Email: AWS SES → S3 → Lambda (Node.js) → API call
– Templating: MJML → responsive HTML emails
– Spam Protection: DKIM + SPF + rate limits per email

6. Infrastructure & Servers

7. Software Stack & Codebase

/
├── backend/
│   ├── api/              → FastAPI (Python
│   ├── ai/               → Quest generator + scorer (PyTorch
│   ├── email/            → Inbound parser (Node.js
│   └── blockchain/       → Hardhat + ethers.js
├── frontend/
│   ├── web/              → React + Vite (optional
│   └── email-templates/  → MJML
├── contracts/
│   └── RelevanceEngine.sol
├── infra/
│   └── terraform/        → AWS + Cloudflare
└── docs/
    └── openapi.yaml

> GitHub (public): `github.com/relevance-game/engine`
> Prototype live: `newsi8.com/quest` (PHP → migrating to FastAPI

8. Blockchain Integration

– Chain: Base (Optimism L2) – low fees, EVM-compatible
– Contracts:
– `QuestRegistry.sol` – quest metadata
– `SubmissionVault.sol` – proof hashes
– `QuadraticVoting.sol` – voice credits
– `PrizeEscrow.sol` – milestone payouts
– Oracles: Chainlink + custom AI push via Gelato

9. Security & Anti-Cheating

10. Funding & Prize Mechanics

– Prize Pool: USDC in `PrizeEscrow.sol`
– Triggers: AI oracle confirms impact → auto-release
– Tax Credits: 501(c)(3) donor-advised funds → verifiable impact receipts
– Token: $RELEV (optional governance) – not required for play

11. Governance Framework

The $RELEV governance token powers a robust, decentralized governance framework that enables token holders to actively shape the platform’s evolution through an on-chain DAO. Governance is carried out via quadratic voting, staking, and delegation, ensuring broad, fair participation while mitigating vote concentration. Token holders submit proposals covering protocol upgrades, treasury management, quest prioritization, and security policies, which are transparently voted on and automatically enacted through smart contracts, delivering trustless and efficient decision-making. Supporting this are specialized councils and advisory groups, including stewards focused on AI ethics and platform security, tasked with proposal vetting, dispute resolution, and emergency intervention. The system incentivizes engagement with participation rewards and enforces accountability through penalties for malicious behavior, further modulated by reputation scores that adjust voting power based on user history and contributions. Transparency is foundational, with all proposals, votes, and treasury disbursements recorded on-chain and accessible to the community, while compliance with regulatory requirements and regular audits maintain legitimacy and adaptability. This framework empowers inclusive, community-driven governance where users collectively steward the protocol’s integrity and growth.

Mermade code for the above diagram:

flowchart TB

subgraphsubGraph0["Token Holders"]
directionTB
A1["Hold & Delegate"]
A2["Quadratic Voting"]
end

subgraphsubGraph1["Proposal Submission"]
B1["Protocol Upgrades"]
B2["Treasury Spending"]
B3["Quest Priorities"]
B4["Security Policies"]
end

subgraphsubGraph2["Vetting & Advisory Councils"]
C1["AI Ethics Stewards"]
C2["Security Team"]
C3["Proposal Vetting"]
end

subgraphsubGraph3["On-Chain Voting"]
D1["Quadratic Voting"]
D2["Transparent Tally"]
end

subgraphsubGraph4["Automated Execution"]
E1["Smart Contract Enactment"]
end

subgraphsubGraph5["Incentives & Penalties"]
F1["Participation Rewards"]
F2["Reputation Adjustments"]
F3["Penalties for Abuse"]
end

subgraphsubGraph6["Transparency & Compliance"]
G1["On-Chain Records"]
G2["Audits & Regulation"]
end

A["Token Holders"]-- Submit Proposals -->B["Proposal Submission"]
B-->C["Vetting & Advisory Councils"]&B1&B2&B3&B4
C-->D["On-Chain Voting"]&C1&C2&C3
D-->E["Automated Execution"]&D1&D2
A-->F["Incentives & Penalties"]&A1&A2
E-->F&E1
G["Transparency & Compliance"]---B&D&E
F-->F1&F2&F3
G-->G1&G2

12. Deployment Roadmap

13. Conclusion

This is the simplest way to turn 8 billion humans into problem solvers:

> One email. One quest. One world changed.

No app. No wallet (optional). Just reply and impact.

Architecture Diagrams (Text Descriptions)

Diagram 1: Layered Architecture

[Email / Web / Apps] → [Public API] → [Quest | Vote | Points]
                             ↓
                       [AI Oracle] ↔ [Blockchain]
                             ↓
                     [PostgreSQL + IPFS]

Diagram 2: Email → API Flow

User Email → SES → Lambda → FastAPI /quests/submit → AI Review → Blockchain Log → Email Confirmation

Diagram 3: Smart Contract Flow

User → Vote → QuadraticVoting.sol → Voice Credits → PrizeEscrow.sol → USDC Payout

End Note

I, Xeno, created this whitepaper with some targeted AI assistance. For the record, I am not, as far as I know, Satoshi Nakamoto. The true identity of Satoshi Nakamoto, the pseudonymous creator of Bitcoin, remains an unresolved mystery despite extensive speculation and investigations.

Evaluation

The whitepaper at https://newsi8.com/xeno-gamify/ describes a highly innovative platform that gamifies global problem-solving by turning real-world actions into quests that users can complete for relevance points (RP) and rewards. It leverages AI for quest generation and validation, blockchain for transparent voting and prize distribution, and a public API with an email listserv interface for broad accessibility. Its architecture integrates multiple modern technologies like Base (Optimism L2) blockchain, AI models (Llama 3.1 / GPT-4o), and cloud infrastructure with a focus on security and anti-cheating measures. The platform emphasizes inclusivity, ease of use (no app or wallet required), and decentralized governance through a quadratic voting system powered by a $RELEV token.

In evaluating the whitepaper:

Strengths:
– Clear innovative concept turning the internet into a real-time strategy game for problem-solving with measurable social impact.
– Strong technical foundation combining AI, blockchain, and cloud technologies.
– Accessibility focus via zero-app email interface.
– Thoughtful governance design allowing fair, transparent participation.
– Detailed system architecture and deployment roadmap anticipate practical implementation challenges.
– Emphasis on security and anti-cheating to sustain trust and integrity.

Potential Gaps or Challenges:
– The success relies heavily on AI accuracy in quest validation and impact scoring, which could be complex and uncertain.
– Adoption risks for new users unfamiliar with blockchain or email-based gamification.
– Economic incentives and prize pool sustainability need ongoing evaluation.
– The scalability of voting and reward systems as user base grows may face technical hurdles.

Overall, this whitepaper presents a compelling and cutting-edge approach to collective problem-solving through gamification at a global scale, backed by a sophisticated technology stack and governance model. The approach is unique in integrating AI and blockchain for real-world impact quests with a user-friendly, accessible interface design.

This assessment is based on the detailed whitepaper text provided, and corroborated by contextual knowledge of current AI and blockchain capabilities for decentralized applications.[1]

[1] https://newsi8.com/xeno-gamify/

Appendix A: Periodic Table of Purpose:

As a test foundation of underlying purposes, here is an initial set of 118 root level concrete goals distilled and adapted, instead of from news headlines, from sustainable development frameworks and thematic elements connected to promoting human species survival, long healthful lives, and species-level progress. The idea in this whitepaper is that each quest developed from AI by tapping news headlines would enhance one or more of the 118 Elements of Purpose, after refinement. They will be periodic in that they periodically change as needed.  Below is what AI can, in early November 2025, generate without human input. It is AI solution heavy and may no doubt need to be improved by ethical human input for alignment.

Governance and Cooperation

1. Develop transparent, global governance frameworks controlling AI and emerging technologies.
2. Enforce ethical AI development ensuring human empowerment and safety.
3. Establish international treaties on existential risk prevention.
4. Promote global cooperation on pandemic preparedness and biosecurity.
5. Strengthen multilateral institutions for crisis coordination.
6. Foster open data-sharing platforms for global challenges.
7. Facilitate global internet access for inclusive participation.
8. Promote equitable digital infrastructure development worldwide.
9. Enact policies to ensure privacy, data security, and digital rights.
10. Create online platforms for participatory democracy and policymaking.

Health and Wellbeing

11. Universal access to affordable, quality healthcare.
12. Promote preventive healthcare using AI diagnostics.
13. Increase global vaccination and disease eradication efforts.
14. Improve mental health support via online tools.
15. Utilize telemedicine to reach remote populations.
16. Personalized medicine powered by genomic data and AI.
17. Expand nutritional education and food safety monitoring.
18. Combat substance abuse with internet-based interventions.
19. Promote healthy aging and longevity research.
20. Foster holistic wellness through digital health communities.

Environment and Sustainability

21. Accelerate renewable energy adoption globally.
22. Reduce greenhouse gas emissions in all sectors.
23. Implement sustainable agriculture using internet-connected tech.
24. Restore degraded ecosystems with citizen science networks.
25. Promote circular economy practices worldwide.
26. Conserve marine and terrestrial biodiversity.
27. Implement global carbon pricing and environmental accounting.
28. Enable real-time global environmental monitoring.
29. Promote water conservation and sanitation access.
30. Use the internet for climate change education and mobilization.

Education and Knowledge

31. Universal access to quality digital education.
32. Promote STEM education with a focus on sustainability.
33. Foster lifelong learning through AI tutors and platforms.
34. Encourage interdisciplinary collaboration online.
35. Archive and democratize scientific knowledge.
36. Use AI to tailor education to individual learning styles.
37. Support open research and innovation networks.
38. Boost digital literacy for marginalized communities.
39. Expand vocational training for green jobs.
40. Integrate ethics of technology and sustainability into curriculums.

Economy and Technology

41. Promote sustainable business practices with digital reporting.
42. Deploy AI for resource optimization in industries.
43. Support innovation hubs focusing on sustainability solutions.
44. Promote microfinance and digital banking inclusion.
45. Enable global fair trade platforms online.
46. Incentivize renewable energy investments digitally.
47. Combat digital monopolies and promote competition.
48. Harness blockchain to ensure supply chain transparency.
49. Facilitate remote work to reduce commuting and emissions.
50. Support SMEs in adopting sustainable internet technologies.

Social Equity and Inclusion

51. Close digital divides within and between countries.
52. Ensure internet accessibility for disabled persons.
53. Promote gender equality in digital and tech sectors.
54. Protect migrant and refugee rights with online tools.
55. Foster cross-cultural understanding via global networking.
56. Combat online hate speech and discrimination.
57. Empower youth through digital activism platforms.
58. Support indigenous knowledge preservation on the internet.
59. Provide digital tools for crisis-affected communities.
60. Promote inclusive urban planning with participatory online forums.

Safety and Security

61. Strengthen cybersecurity for critical infrastructure.
62. Develop AI tools to detect disinformation online.
63. Enhance global surveillance mechanisms for natural disasters.
64. Promote ethical hacking and digital forensics education.
65. Improve disaster response coordination via digital platforms.
66. Limit autonomous weapon deployment through international control.
67. Advance privacy-preserving technologies.
68. Foster public awareness on digital security best practices.
69. Regulate harmful content while protecting free expression.
70. Establish rapid response teams for cyber threats globally.

Scientific Advancement and Innovation

71. Use AI to accelerate climate modeling and forecasting.
72. Develop effective carbon capture and storage technologies.
73. Promote fusion and other clean energy research.
74. Support space exploration for planetary defense and resources.
75. Facilitate global genome and microbiome research sharing.
76. Advance AI-assisted drug discovery and deployment.
77. Develop regenerative medicine breakthroughs.
78. Promote neuroscience research for mental health.
79. Integrate AI with traditional knowledge for sustainability.
80. Create incentive structures for open-source science collaborations.

Culture, Ethics, and Human Development

81. Promote arts and culture through digital platforms.
82. Advance global ethics dialogue on technology use.
83. Foster empathy and global citizenship online.
84. Support digital storytelling for marginalized voices.
85. Use the internet to enhance community resilience.
86. Promote digital mindfulness, balancing screen use and wellbeing.
87. Facilitate intergenerational knowledge transfer digitally.
88. Encourage responsible consumption via online education.
89. Develop frameworks for AI rights and responsibilities.
90. Promote human flourishing as a goal for all technologies.

Infrastructure and Urbanization

91. Implement smart city technologies to optimize resources.
92. Promote resilient infrastructure against climate risks.
93. Deploy sensors for real-time pollution and health hazard mapping.
94. Enhance public transportation systems globally with internet tech.
95. Expand affordable housing with sustainable digital planning.
96. Develop integrated urban-rural digital connectivity.
97. Support waste reduction through internet of things (IoT).
98. Promote green construction coordinated via online platforms.
99. Utilize digital twins for disaster preparedness.
100. Facilitate public participation in urban sustainability projects.

Resilience and Future Preparedness

101. Develop early warning systems for pandemics and disasters.
102. Implement robust data ecosystems for risk assessment.
103. Promote community-based adaptation strategies online.
104. Foster scenario planning and foresight communities digitally.
105. Promote redundancy and diversity in critical systems.
106. Support safe AI development informed by global research.
107. Develop education for resilience and adaptability.
108. Facilitate transitions to sustainable lifestyles through social media.
109. Create global knowledge bases for crisis handling.
110. Encourage cultural and biological diversity preservation.

Internet and Species-Level Progress

111. Develop a universal species survival digital platform.
112. Facilitate global collaboration on survival and wellbeing projects.
113. Promote open governance of global internet resources.
114. Create incentive systems for contributions to human flourishing.
115. Foster transdisciplinary internet-enabled innovation hubs.
116. Integrate internet tools into all aspects of survival planning.
117. Use the internet to build global trust and the social contract.
118. Ensure the internet remains a free and open platform for progress.

This framework combines global sustainable development goals with emergent themes to form a comprehensive roadmap of 118 concrete goals aimed at the survival and flourishing of humanity, leveraging the internet for species-level progress. These goals provide clear directives for policy, technology development, social innovation, and global cooperation consistent with current sustainability science and internet potential. They are actionable and measurable targets to align humanity’s collective effort toward long-term thriving.[1][2][9]

How these items connect and are mapped into a 3D structure encodes further information. A sample is created here which can be explored: ( https://newsi8.com/purpose/ ).  The concepts, again, are at the start from AI, but human improvements are expected to this initial top problems space model.

Citations:

[1] https://www.undp.org/sustainable-development-goals
[2] https://unstats.un.org/sdgs/report/2025/
[3] https://unstats.un.org/sdgs/report/2025/The-Sustainable-Development-Goals-Report-2025.pdf
[4] https://gccassociation.org/concrete-and-sustainability/
[5] https://dashboards.sdgindex.org
[6] https://www.ifc.org/content/dam/ifc/doc/2025/2025-strengthening-sustainability-in-the-cement-industry.pdf
[7] https://gccassociation.org/concretefuture/sustainable-development-goals/
[8] https://www.weforum.org/stories/2024/09/cement-production-sustainable-concrete-co2-emissions/
[9] https://www.oecd.org/en/topics/policy-issues/sustainable-development-goals-sdgs.html
[10] https://www.titanmaterials.com/sustainability/our-approach/2025-targets/
[11] https://newsi8.com/xeno-gamify
[12] https://newsi8.com/a-map-of-human-problems/
[13] https://newsi8.com/purpose/