For more information and to coordinate the onboarding process, please ping @cheff_quillai on telegram.
Our Values
1. Enhanced Privacy and Security
- Data Control: Decentralized AI allows individuals and organizations to retain control over their data, reducing the risk of data breaches and misuse.
- Encryption and Anonymity: Decentralized systems often use advanced encryption, enhancing data privacy and user anonymity.
2. Mitigation of Centralized Power
- Democratization of Technology: Decentralizing AI prevents the concentration of power in a few large entities, ensuring that the benefits of AI are more broadly distributed.
- Avoiding Monopoly: It helps prevent monopolistic control over AI technologies, promotes competitive innovation, and reduces the risk of abuse of power.
3. Resilience and Robustness
- Fault Tolerance: Decentralized systems are more resilient to failures and attacks, as there is no single point of failure.
- Continuous Operation: They are better at maintaining operation continuity in disruptions.
4. Transparency and Trust
- Open Source Development: Decentralized AI encourages open-source contributions, enhancing transparency and fostering trust among users and developers.
- Auditable Algorithms: The community can audit Algorithms and models, ensuring ethical standards and fairness.
5. Increased Innovation
- Collaboration and Sharing: Decentralized platforms facilitate collaboration and sharing of resources and knowledge, accelerating innovation.
- Diverse Contributions: It allows diverse contributors from around the world to participate, bringing in varied perspectives and expertise.
6. Economic Incentives
- Tokenization and Rewards: Decentralized AI can use blockchain technology to create token-based economic models, incentivizing contributions and ensuring fair compensation.
- Cost Efficiency: It can reduce costs by leveraging distributed resources and eliminating intermediaries.
7. Ethical AI Development
- Community Governance: Decentralized AI systems often involve community governance, which can help prioritise ethical considerations.
- Bias Reduction: Diverse, decentralized development teams are more likely to identify and mitigate biases in AI systems.
8. Global Accessibility
- Inclusive Access: Decentralized AI makes cutting-edge technology accessible globally to underrepresented and underserved communities.
- Localized Solutions: It supports the development of AI solutions tailored to local needs and contexts.
Rules:
1. Selective Entry:
- We curate engineers, projects, and researchers dedicated to the cause of DeAI and AGI. Anyone who promotes or tries to shill will be removed immediately.
Ethical Conduct
- Members are prohibited from sharing research around AI technologies intended for surveillance, autonomous weaponry, or any application that infringes on human rights.
Transparency and Open Source
- All research outputs, including code, data, and models, must be released under an open-source license (e.g., MIT, GPL).
Diversity and Inclusion
- Members must implement measures to ensure diverse participation, including representation from various demographics, genders, ethnicities, and geographical locations.
Collaborative Participation
- Members must actively participate in the Alliance's collaborative platform, sharing resources and knowledge.
- Members are expected to contribute to annual conferences, workshops, and other knowledge-sharing events organized by the Alliance.
Educational Outreach
- Members must contribute to developing educational programs and resources on DeAI and AGI.
- Members are encouraged to engage in public seminars, webinars, and social media to educate the general public about DeAI and AGI.