Programming Paradigm Shift
The evolution of software development methodologies, particularly the transition from explicit rule-based systems to data-driven, probabilistic models.
Key Concepts
- Software 1.0: Traditional programming where developers explicitly write rules and logic to map inputs to outputs.
- Software 2.0: A paradigm where the “code” (model weights) is learned from data via optimization, rather than hand-written by humans.
- Role of the Developer: Shifts from writing logic to curating data, defining loss functions, and tuning hyperparameters.
Notable Perspectives
Andrej Karpathy’s Framework
Karpathy articulates the distinction between traditional coding and modern AI development Andrej Karpathy: The Software 1.0 to 2.0 Programming Paradigm Shift.
- Definition: Software 1.0 is deterministic code; Software 2.0 is neural networks trained on data.
- Innovation Opportunity: Significant potential for new tools and workflows in the curating and optimizing data pipelines.
- Source: TechXOps channel, “This 1-Hour Andrej Karpathy Lecture Explains Modern AI Better Than Most Courses” [Andrej Karpathy: The Software 1.0 to 2.0 Programming Paradigm Shift]
Related Concepts
- Machine Learning]]
- Deep Learning
- Neural Networks
- Data-Centric AI