Stage 1: Research and Planning
Goal: In-depth study of technologies required for creating a virtual universe, analyzing existing solutions, and developing a detailed implementation plan.
Tasks:
— Analysis of existing simulations and blockchain solutions
— Studying approaches to emulating emergent behavior and modeling evolution
— Assessing technical requirements
— Assembling a team
Tasks:
— Analysis of existing simulations and blockchain solutions
— Studying approaches to emulating emergent behavior and modeling evolution
— Assessing technical requirements
— Assembling a team
Stage 2: Technical Architecture and Prototyping (MVP)
Goal: Developing a minimal working prototype that demonstrates basic emergent principles.
Tasks:
— Designing the system architecture
— Creating a database and model elements for initial simulations
— Integrating basic blockchain functionality (a thin layer for testing smart contracts and tokens)
— Developing a minimal UI/UX to showcase system functionality
Goal: Developing a minimal working prototype that demonstrates basic emergent principles.
Tasks:
— Designing the system architecture
— Creating a database and model elements for initial simulations
— Integrating basic blockchain functionality (a thin layer for testing smart contracts and tokens)
— Developing a minimal UI/UX to showcase system functionality
Stage 3: Testing and Optimization
Goal: Evaluate the prototype’s performance and reliability, identify weaknesses, and refine the system.
Tasks:
— Test the simulation for stability and correct operation
— Optimize the MVP’s performance
— Gather feedback from potential users or investors to collect recommendations
Goal: Evaluate the prototype’s performance and reliability, identify weaknesses, and refine the system.
Tasks:
— Test the simulation for stability and correct operation
— Optimize the MVP’s performance
— Gather feedback from potential users or investors to collect recommendations
Stage 4: Preparation for Launch and Promotion
Goal: Present the MVP to potential users and investors, attract funding.
Tasks:
— Product presentation and demonstration to attract investment
— Marketing and audience engagement
— Organizing a crowdfunding campaign and token issuance
Goal: Present the MVP to potential users and investors, attract funding.
Tasks:
— Product presentation and demonstration to attract investment
— Marketing and audience engagement
— Organizing a crowdfunding campaign and token issuance
Stage 5: Scaling and Project Development
Goal: Expand functionality, add complex models, and optimize for attracting new users.
Tasks:
— Develop additional features, improve model quality
— Support and further develop the project
— Attract new audiences and engage with the community
Goal: Expand functionality, add complex models, and optimize for attracting new users.
Tasks:
— Develop additional features, improve model quality
— Support and further develop the project
— Attract new audiences and engage with the community
Stage 6: «Real-Time Evolution»
Goal: Presenting the project on a global scale with an open demonstration of evolution simulation, allowing participants and viewers to observe the development of virtual life in real time.
Key Elements of This Stage:
1. Interactive Launch:
— Hosting a global online event where anyone can observe the system’s evolutionary processes through a web interface.
— Allowing users to interact with the simulation via «user-driven mutations,» adding their own parameters and analyzing their impact.
2. Virtual Evolution Museum:
— Creating a visual exhibition of key evolutionary stages in the simulation (e.g., from «primitive molecules» to «advanced forms»).
— Integration with VR/AR for deeper immersion.
Goal: Presenting the project on a global scale with an open demonstration of evolution simulation, allowing participants and viewers to observe the development of virtual life in real time.
Key Elements of This Stage:
1. Interactive Launch:
— Hosting a global online event where anyone can observe the system’s evolutionary processes through a web interface.
— Allowing users to interact with the simulation via «user-driven mutations,» adding their own parameters and analyzing their impact.
2. Virtual Evolution Museum:
— Creating a visual exhibition of key evolutionary stages in the simulation (e.g., from «primitive molecules» to «advanced forms»).
— Integration with VR/AR for deeper immersion.
3. Gamification of the Process:
— Launching a contest for creating «conceptual mutations,» where users can suggest changes to the simulation environment.
— Rewards for the most successful ideas that impact evolution (in tokens or other incentives).
4. Scientific Discoveries:
— Engaging the scientific community to analyze simulation data.
— Providing opportunities to publish research results to demonstrate the project’s practical value.
5. Community Governance:
— Transitioning to a DAO (Decentralized Autonomous Organization) model, allowing the community to vote on the future direction of the simulation.
— Attracting investors and new participants through token distribution.
6. Public Goal:
— Setting an ambitious objective: evolving the simulation to a level where it can independently propose a hypothesis about the origin of life or create fundamentally new forms of evolution.
— Launching a contest for creating «conceptual mutations,» where users can suggest changes to the simulation environment.
— Rewards for the most successful ideas that impact evolution (in tokens or other incentives).
4. Scientific Discoveries:
— Engaging the scientific community to analyze simulation data.
— Providing opportunities to publish research results to demonstrate the project’s practical value.
5. Community Governance:
— Transitioning to a DAO (Decentralized Autonomous Organization) model, allowing the community to vote on the future direction of the simulation.
— Attracting investors and new participants through token distribution.
6. Public Goal:
— Setting an ambitious objective: evolving the simulation to a level where it can independently propose a hypothesis about the origin of life or create fundamentally new forms of evolution.
Cost table. The data are provided as an example of possible expenses, but in reality they may vary significantly and depend on the composition of the project team and the stages of the process. The real cost table will be built based on the project budget, which will be prepared after the project team is formed and the development program is determined.
Stage 1. Research and Planning
| Expense Item | Cost ($USD/hour) | Number of Hours | Total ($USD) |
|---|---|---|---|
| Data Analyst | 100 | 70 | 7 000 |
| Business Analyst | 120 | 58 | 6 960 |
| Architect | 150 | 46 | 6 900 |
| Overhead costs: (licenses, business trips, etc.) | — | — | 8 120 |
| Project Author and Coordinator | 40 | 20 | 800 |
| Project Manager | 150 | 20 | 3 000 |
| Project Administrator | 90 | 20 | 1 800 |
| Lawyer | 130 | 20 | 2 600 |
| Researcher in Chemistry | 120 | 20 | 2 400 |
| Researcher in Physics | 120 | 20 | 2 400 |
| Researcher in Mathematics | 120 | 20 | 2 400 |
| Researcher in Biology | 120 | 20 | 2 400 |
| Blockchain Developer | 160 | 20 | 3 200 |
| Stage Total: ≈50 000 | |||
Stage 2. Architectural Design
| Expense Item | Cost ($USD/hour) | Number of Hours | Total ($USD) |
|---|---|---|---|
| Architect | 200 | 119 | 23 800 |
| Systems Architect | 180 | 79 | 14 220 |
| Overhead costs: software, design tools, etc. | — | — | 41 080 |
| Project Author and Coordinator | 40 | 20 | 800 |
| Project Manager | 150 | 20 | 3 000 |
| Project Administrator | 90 | 20 | 1 800 |
| Lawyer | 130 | 20 | 2 600 |
| Researcher in Chemistry | 120 | 20 | 2 400 |
| Researcher in Physics | 120 | 20 | 2 400 |
| Researcher in Mathematics | 120 | 20 | 2 400 |
| Researcher in Biology | 120 | 20 | 2 400 |
| Blockchain Developer | 160 | 20 | 3 200 |
| Stage Total: ≈100 000 | |||
Stage 3. Programming and Implementation
| Expense Item | Cost ($USD/hour) | Number of Hours | Total ($USD) |
|---|---|---|---|
| AI Developer | 150 | 700 | 105 000 |
| ML Engineer | 170 | 600 | 102 000 |
| DevOps Engineer | 130 | 400 | 52 000 |
| Additional Developer | 140 | 300 | 42 000 |
| Overhead costs: servers, equipment, licenses, etc. | — | — | 130 000 |
| Project Author and Coordinator | 40 | 130 | 5 200 |
| Project Manager | 150 | 130 | 19 500 |
| Project Administrator | 90 | 80 | 7 200 |
| Lawyer | 130 | 40 | 5 200 |
| Researcher in Chemistry | 120 | 40 | 4 800 |
| Researcher in Physics | 120 | 40 | 4 800 |
| Researcher in Mathematics | 120 | 40 | 4 800 |
| Researcher in Biology | 120 | 40 | 4 800 |
| Blockchain Developer | 160 | 80 | 12 800 |
| Stage Total: ≈500 000 | |||
Stage 4. Testing and Optimization
| Expense Item | Cost ($USD/hour) | Number of Hours | Total ($USD) |
|---|---|---|---|
| QA Engineer | 100 | 150 | 15 000 |
| Tester | 90 | 150 | 13 500 |
| Performance Engineer | 140 | 100 | 14 000 |
| Overhead costs: server rental for testing, etc. | — | — | 32 000 |
| Project Author and Coordinator | 40 | 25 | 1 000 |
| Project Manager | 150 | 25 | 3 750 |
| Project Administrator | 90 | 25 | 2 250 |
| Lawyer | 130 | 25 | 3 250 |
| Researcher in Chemistry | 120 | 25 | 3 000 |
| Researcher in Physics | 120 | 25 | 3 000 |
| Researcher in Mathematics | 120 | 25 | 3 000 |
| Researcher in Biology | 120 | 25 | 3 000 |
| Blockchain Developer | 160 | 25 | 4 000 |
| Stage Total: ≈100 000 | |||
Stage 5. Implementation and Deployment
| Expense Item | Cost ($USD/hour) | Number of Hours | Total ($USD) |
|---|---|---|---|
| DevOps Engineer | 130 | 120 | 15 600 |
| Security Engineer | 160 | 100 | 16 000 |
| Systems Integrator | 140 | 100 | 14 000 |
| Overhead costs: cloud hosting, equipment, etc. | — | — | 80 000 |
| Project Author and Coordinator | 40 | 30 | 1 200 |
| Project Manager | 150 | 30 | 4 500 |
| Project Administrator | 90 | 30 | 2 700 |
| Lawyer | 130 | 20 | 2 600 |
| Researcher in Chemistry | 120 | 20 | 2 400 |
| Researcher in Physics | 120 | 20 | 2 400 |
| Researcher in Mathematics | 120 | 20 | 2 400 |
| Researcher in Biology | 120 | 20 | 2 400 |
| Blockchain Developer | 160 | 20 | 3 200 |
| Stage Total: ≈150 000 | |||
Stage 6. Support and Development
| Expense Item | Cost ($USD/hour) | Number of Hours | Total ($USD) |
|---|---|---|---|
| Support Specialist | 80 | 200 | 16 000 |
| Data Analyst (Support) | 100 | 150 | 15 000 |
| Developer | 120 | 100 | 12 000 |
| Overhead costs: server maintenance, cloud services, training, etc. | — | — | 30 000 |
| Project Author and Coordinator | 40 | 20 | 1 600 |
| Project Manager | 150 | 20 | 6 000 |
| Project Administrator | 90 | 20 | 3 600 |
| Lawyer | 130 | 20 | 2 600 |
| Researcher in Chemistry | 120 | 20 | 2 400 |
| Researcher in Physics | 120 | 20 | 2 400 |
| Researcher in Mathematics | 120 | 20 | 2 400 |
| Researcher in Biology | 120 | 20 | 2 400 |
| Blockchain Developer | 160 | 20 | 3 200 |
| Stage Total: ≈100 000 | |||
Total expenses ≈ 1 000 000 USD
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