Roadmap for Conversational Game Theory (CGT) Development and Launch
October 2024 Current Stage: Three MVPs, piloted
Pilot MVP of CGT Computational System:
- Developed a minimum viable product (MVP) of CGT with API as a computational system hosted online.
- Conducted tests on Large Language Model (LLM) benchmark scoring.
- Tested multi-agent perspective consensus publication.
Pilot MVP of Private Internet Publishing
- Piloted and Tested decentralized content management and distribution platform
- Implements CGT in Phase 2
Pilot MVP of Copyright Community Studio
Our web3 pilot demonstrated CGT computationally as community created copyright studio, generated $142,000 in revenue, bootstrapped CGT
Next Milestone:
$60,000 USD Budget
1. Enhance Computational System for Multi-Agent Consensus, Form company
Objective:
- Update the computational system to support simultaneous multiple agents working on multiple consensus points with AI assistance.
- Form company, identify co-founders, prepare for large raise
Key Actions:
- Further develop system architecture for scalability and efficiency.
- Initiate Systems 1 Artificial Intelligence.
- Optimize consensus mechanisms for handling numerous perspectives.
- Conduct rigorous testing to ensure stability and performance.
Timeline: Months 1-3
2. Fundraising and Building the Consensus Library/LLM Training Model:
$1M Budget
Objective:
- Secure funding to develop the Global Consensus Library.
- Prepare for the launch of the first B2B product as an LLM training model.
Key Actions:
- Develop comprehensive investment pitch materials and business plans.
- Engage with potential investors, venture capitalists, and strategic partners.
- Allocate resources for building the infrastructure of the Consensus Library.
- Assemble a dedicated team for development and project management.
Timeline: Months 2-5
3. Launch B2B Product: CGT as an LLM Training Model
Objective:
- Offer CGT as an enhancement layer for LLMs to improve their performance and reliability.
- Launch awareness campaign of Global Conflict Resolution Library
Key Actions:
- Finalize the CGT API/SDK for seamless integration with existing LLMs.
- Establish licensing agreements with major AI and LLM providers (e.g., OpenAI, DeepMind).
- Implement performance-based pricing models to incentivize adoption.
- Provide technical support and documentation for integration partners.
Timeline: Months 4-8
4. Develop and Launch B2C CGT Platform for Communities
Objective:
- Enable any community to build on top of CGT for collaborative content creation and consensus-building.
Key Actions:
- Design a user-friendly platform with intuitive interfaces for collaborative editing and discussions.
- Integrate tools for community management and content moderation.
- Launch a beta program with select communities to gather feedback.
- Iterate based on user insights to refine features and usability.
Timeline: Months 7-12
5. Introduce Personal “Intelligence Agents” for Consumers
Objective:
- Allow consumers to have their own trained Intelligence Agents that interact with others on the web.
Key Actions:
- Develop AI models capable of learning and representing individual user perspectives.
- Ensure robust privacy and security measures to protect user data.
- Create tutorials and support resources to help users train and deploy their agents.
- Establish protocols for agent interactions within the CGT framework.
Timeline: Months 10-18
6. Launch New Business Models and Digital Economies
Objective:
- Introduce Private Internet Publishing (PiP) networks and other digital economies utilizing CGT and Intelligence Agents.
Key Actions:
- Develop the PiP platform integrated with CGT and personal agents.
- Form partnerships with publishers, advertisers, and content creators.
- Implement new revenue models such as premium content access, data transactions, and micro-transactions.
- Pilot the PiP network with initial users and iterate based on performance and feedback.
Timeline:Months 15-24