Software 2.0
Software 2.0 refers to the paradigm shift where programs are no longer explicitly written by humans in traditional code (Software 1.0), but are instead learned by MachineLearning models from data. This concept, popularized by andrej-karpathy, highlights the transition from hand-crafted algorithms to neural networks that define the logic through weights and biases.
Key Concepts
- Paradigm Shift: The move from explicit, rule-based programming to implicit, data-driven specification of behavior.
- Neural Networks as Programs: In Software 2.0, the “code” is the architecture and the trained weights of a neural network, optimized via gradient descent rather than manual logic.
- Innovation Opportunities: As noted in recent analyses, this shift opens new avenues for innovation in ArtificialIntelligence and DeepLearning applications.
Related Resources
- Andrej Karpathy: The Software 1.0 to 2.0 Programming Paradigm Shift
- MachineLearning
- DeepLearning
- GradientDescent
References
- Andrej Karpathy: The Software 1.0 to 2.0 Programming Paradigm Shift (TechXOps, 2026-08-26) https://www.youtube.com/watch?v=EsQ_bmXKA4A