guillermo_lucero
Project OwnerProject Manager & Project Lead
The MeTTa Coder Lab, an innovative educational program focused on lowering the entry bar for newcomers to MeTTa language. Structured into four progressive modules, the program guides participants through foundational knowledge, advanced concepts, and practical applications. Through a blend of synchronous and asynchronous methodologies, participants will explore modular design, dynamic reasoning, and AGI-focused applications. The program will provide multilingual resources in English, Portuguese, and Spanish, including open-source demos, tutorials, and gamified exams for certification. By fostering hands-on experimentation, we aim to empower developers and drive global adoption of MeTTa.
Create educational and/or useful demos using SingularityNET's own MeTTa programming language. This RFP aims at bringing more community adoption of MeTTa and engagement within our ecosystem, and to demonstrate and expand the utility of MeTTa. Researchers must maintain demos for a minimum of one year.
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Complete foundational training for MeTTa’s multiparadigm programming and Atomspace querying.
1. Interactive demo examples and practical exercises to introduce foundational concepts. 2. Live session materials including guided tutorials and coding demonstrations. 3. Video tutorials covering foundational concepts and detailed documentation for exercises and demos.
$5,000 USD
1. Program materials for foundational training are created and reviewed for quality and accuracy. 2. Interactive demos and exercises are deployed and tested for online usability. 3. First phase of sessions are successfully recorded, and video resources are uploaded to the online platform.
Develop expertise in self-modification and type systems through practical implementation.
1. Intermediate demo projects showcasing dynamic self-modification. 2. Exercises on self-modifying programs and type systems. 3. Asynchronous video tutorials and expanded documentation for advanced topics.
$5,000 USD
1. Advanced program materials, including exercises and demos, are finalized and made available online. 2. Asynchronous resources, such as videos and guides, are deployed and tested for online usability. 3. Second phase of sessions are successfully recorded, and video resources are uploaded to the online platform.
Demonstrate neural-symbolic reasoning and adaptive inference with MeTTa.
1. Demos illustrating neural-symbolic reasoning and handling uncertainties. 2. Exercises focused on inference mechanisms and probabilistic logic. 3. Video tutorials and documentation for reasoning and inference applications.
$5,000 USD
1. Neural-symbolic reasoning materials are reviewed and deployed across program platforms. 2. Participants complete demos and exercises with positive feedback on the learning process. 3. Third phase of sessions are successfully recorded, and video resources are uploaded to the online platform.
Integrate MeTTa with domain-specific AGI use cases and finalize program outcomes.
1. Advanced demos integrating MeTTa with applications like SophiaVerse and Rejuve.bio. 2. Video tutorials and comprehensive documentation for final demos. 3. A technical report summarizing outcomes and participant achievements within targeted standards. 4. Program certifications for successful participants development.
$5,000 USD
1. Final program components, including advanced demos and certifications, are deployed successfully. 2. All educational materials, technical reports, and resources are published online for public access. 3. Online activation of the program is completed, with a functional platform for ongoing engagement and certification issuance.
Conduct a retrospective and analyze program results to guide future updates and system evolution.
1. Comprehensive evaluation of participant feedback engagement metrics and learning outcomes. 2. Recommendations document outlining potential updates and improvements to the program. 3. Roadmap for integrating participant suggestions into future iterations of the MeTTa Coder Lab Program.
$5,000 USD
1. Feedback from participants and instructors is collected, reviewed, and analyzed. 2. A detailed report identifying strengths, weaknesses, and opportunities for improvement is completed. 3. A clear, actionable plan for evolving the program based on analysis and feedback is finalized.
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