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Starts 5 June 2025 10:17
Ends 5 June 2025
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Vibe Coding as a Learning Machine - Exploring Vibe Science and AI Research
Explore the concept of Vibe Coding as a learning machine and its potential application to scientific discovery, examining the CodeScientist preprint and discussing if AI can facilitate "Vibe Science."
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Overview
Explore the concept of Vibe Coding as a learning machine and its potential application to scientific discovery, examining the CodeScientist preprint and discussing if AI can facilitate "Vibe Science."
Syllabus
- Introduction to Vibe Coding and Vibe Science
- Understanding the CodeScientist Preprint
- Basics of Learning Machines
- Vibe Coding as a Learning Machine
- Applications to Scientific Discovery
- AI in Facilitating Vibe Science
- Debate and Discussion
- Practical Session: Implementing Vibe Coding
- Conclusion and Future Directions
- Supplementary Resources
Definition and key concepts
Historical background and evolution
Overview of the preprint's thesis
Key findings and implications
AI and machine learning fundamentals
Comparison of traditional vs. vibe coding learning methods
Mechanisms of vibe coding in AI
Case studies and examples
Potential benefits of using vibe coding in research
Challenges and limitations
Current AI tools and technologies
Future prospects and trends
Ethical considerations in vibe science
Open discussion on AI's role in scientific exploration
Hands-on coding exercises
Real-world applications and project ideas
Summary of key learnings
Exploration of emerging research avenues
Suggested readings and media
Online communities and forums for further learning
Subjects
Computer Science
