Core computing principles still apply to GenAI
- Bits to Brains: Binary seeds sprout creative intelligence
- Code to Frameworks: High-level languages build scalable AI frameworks.
- Algorithms to Adaptability: Techniques like gradient descent drive adaptive learning.
- Complexity to Possibility: Complexity theory inspires breakthrough solutions.
- Theory to Transformation: Foundational ideas (e.g., Turing Machines) guide AI evolution.