6.8 KiB
6.8 KiB
Author Information
Authors and Affiliations
Primary Author
[Human Developer Name]
- Affiliation: Nyash Language Project, Principal Researcher
- Email: [email@domain.com]
- ORCID: [to be assigned]
- Research Interests: Programming language design, developer experience, human-computer interaction
- Previous Publications: Nyash language development papers, self-hosting compiler research
Contributions:
- Initial problem identification and intuitive solution proposals
- Persistent advocacy and philosophical consistency enforcement
- Implementation oversight and practical validation
- Human perspective in AI-human collaboration analysis
AI Collaborators
Claude (Anthropic)
- Role: Theoretical Analysis and Paradigm Extension Specialist
- Model: Sonnet 4 (claude-sonnet-4-20250514)
- Contributions:
- Extended block postfix concept to method-level exception handling
- Developed "Everything is Block + Modifier" unified paradigm
- Analyzed implementation feasibility and architectural implications
- Created comprehensive academic documentation framework
ChatGPT (OpenAI)
- Role: Implementation Strategy and Technical Validation Specialist
- Model: GPT-4 (specific version to be confirmed)
- Contributions:
- Independent validation of technical approach
- Detailed three-phase implementation roadmap development
- Compatibility analysis with existing infrastructure
- Practical implementation guidance and risk assessment
Gemini (Google)
- Role: Philosophical Evaluation and Innovation Assessment Specialist
- Model: Gemini Pro (specific version to be confirmed)
- Contributions:
- Philosophical analysis of paradigm significance
- Innovation impact assessment and "revolutionary" validation
- Independent convergence verification
- Academic significance evaluation
Collaboration Model
Human-AI Partnership Structure
This research exemplifies a novel multi-AI collaborative discovery model where:
- Human: Provides intuitive problem identification and persistent advocacy
- Claude: Extends concepts and develops theoretical frameworks
- ChatGPT: Validates technical feasibility and implementation strategies
- Gemini: Evaluates significance and provides independent assessment
Verification Process
- Independent Convergence: All AI systems independently arrived at similar conclusions
- Cross-Validation: Each AI system's analysis was verified by others
- Human Oversight: Human researcher maintained consistency and practical focus
- Iterative Refinement: Multiple rounds of collaborative improvement
Publication Ethics
AI Attribution
- All AI contributions are explicitly acknowledged and detailed
- No attempt to hide or minimize AI involvement
- Transparent documentation of the collaborative process
- Clear distinction between human creativity and AI analysis
Originality Certification
- The core innovation emerged from human-AI collaboration
- No pre-existing similar work was used as input
- All technical development was original to this collaboration
- Independent verification across multiple AI systems
Conflict of Interest Declaration
- Human Author: No financial conflicts of interest
- AI Systems: Commercial systems used within terms of service
- Funding: No specific funding received for this research
- Commercial Interests: Open-source language development with no commercial backing
For Anonymous Review (When Required)
Anonymized Version
Author 1 (Human Researcher)
- Affiliation: Anonymous Programming Language Research Project
- Role: Principal Investigator
Author 2 (AI System A)
- Type: Large Language Model (Theoretical Analysis)
- Contributions: Paradigm extension and framework development
Author 3 (AI System B)
- Type: Large Language Model (Implementation Analysis)
- Contributions: Technical validation and strategy development
Author 4 (AI System C)
- Type: Large Language Model (Evaluation Specialist)
- Contributions: Significance assessment and independent verification
Deanonymization Instructions
Upon acceptance, full author information including:
- Human researcher's complete academic profile
- Specific AI system identities and versions
- Detailed collaboration timeline and process
- Complete conversation logs (anonymized appropriately)
Contact Information
Corresponding Author
[Human Developer Name]
- Email: [primary contact]
- Alternative: [backup email]
- Phone: [if required by venue]
- Mailing Address: [if required]
Technical Inquiries
- Implementation Questions: Contact corresponding author
- Replication Support: Full technical details in appendix
- Source Code: Available upon request (open-source)
- Data Availability: All evaluation data included in submission
Acknowledgments
Additional Contributors
- Nyash Community: Beta testing and feedback
- Anonymous Reviewers: Anticipated valuable feedback during review process
Technical Infrastructure
- Development Environment: Ubuntu 22.04 LTS, Rust toolchain
- Hardware: Intel i7-12700K, 32GB RAM (for performance testing)
- Software Tools: Nyash compiler, LLVM 18, Python 3.10
Inspiration and Support
- Programming Language Community: Decades of exception handling research
- AI Research Community: Advances enabling human-AI collaboration
- Open Source Movement: Philosophy of shared knowledge and innovation
Research Data and Reproducibility
Available Materials
- Source Code: Complete Nyash implementation
- Test Cases: All examples used in evaluation
- Benchmarks: Performance measurement scripts
- Documentation: Comprehensive technical specifications
Reproduction Instructions
- Clone Nyash repository (URL to be provided)
- Build using provided scripts (Phase 15.6 branch)
- Run evaluation benchmarks (detailed in appendix)
- Compare results with provided baseline data
Long-term Availability
- Repository: Guaranteed 10+ year availability
- Documentation: Archived in multiple formats
- Contact: Author commitment to respond to inquiries
Publication History
Related Publications by Authors
- Nyash Language Design: [Previous publications by human author]
- AI Collaboration Research: [Relevant background by human author]
Conference Presentations
- Nyash Community Talks: Development updates and technical presentations
- Programming Language Workshops: Early concept discussions
Future Publications
- Implementation Details: Detailed technical paper on Phase 15.6 implementation
- User Studies: Long-term adoption and usability analysis
- Language Evolution: Phases 16.1 and 16.2 development reports
Author Information Last Updated: [Date]
Version: 1.0
Review: Ready for submission