Software 2.0 Development Approach
A Software 2.0 Development Approach is a software development approach that leverages AI methods to achieve software system behavior.
- Context:
- It can have been coined by Andrej Karpathy.
- It can represent a transition from traditional hand-coded software (Software 1.0) to machine learning-based software (Software 2.0).
- It can use data-driven learning to handle complex tasks such as image recognition, natural language processing, and autonomous driving.
- It can aim to to reduce human involvement in coding, optimize performance, and improve adaptability to new situations or data.
- ...
- Example(s):
- AI-driven image recognition systems.
- Natural language processing algorithms.
- Autonomous driving software.
- ...
- Counter-Example(s):
- a Software 1.0, where:
- Manually coded software development of explicit instructions.
- Software that does not leverage machine learning models.
- ...
- a Software 1.0, where:
- See: Assistant-based Software Development, Software System Testing.
References
2023
- chat
- Software 2.0 is a term coined by Andrej Karpathy, the Director of AI at Tesla, to describe the transition from traditional hand-coded software (Software 1.0) to machine learning-based software (Software 2.0). In this context, Software 1.0 refers to the conventional programming approach, where developers write explicit instructions and rules to execute specific tasks. This process can be time-consuming and error-prone, especially for complex problems.
In contrast, Software 2.0 uses machine learning algorithms and neural networks to "learn" from data and automatically generate rules or patterns without explicit instructions from a programmer. These algorithms can tackle difficult tasks using traditional programming techniques, such as image recognition, natural language processing, and autonomous driving.
The main idea behind Software 2.0 is to leverage the power of artificial intelligence to reduce human involvement in coding, optimize performance, and adapt more easily to new situations or data. This shift in the software development paradigm is expected to revolutionize various industries and create more intelligent and adaptable systems.
- Software 2.0 is a term coined by Andrej Karpathy, the Director of AI at Tesla, to describe the transition from traditional hand-coded software (Software 1.0) to machine learning-based software (Software 2.0). In this context, Software 1.0 refers to the conventional programming approach, where developers write explicit instructions and rules to execute specific tasks. This process can be time-consuming and error-prone, especially for complex problems.
2017
- https://karpathy.medium.com/software-2-0-a64152b37c35
- In contrast, Software 2.0 is written in much more abstract, human unfriendly language, such as the weights of a neural network. No human is involved in writing this code because there are a lot of weights (typical networks might have millions), and coding directly in weights is kind of hard (I tried).
Instead, our approach is to specify some goal on the behavior of a desirable program (e.g., “satisfy a dataset of input output pairs of examples”, or “win a game of Go”), write a rough skeleton of the code (i.e. a neural net architecture) that identifies a subset of program space to search, and use the computational resources at our disposal to search this space for a program that works. In the case of neural networks, we restrict the search to a continuous subset of the program space where the search process can be made (somewhat surprisingly) efficient with backpropagation and stochastic gradient descent.
- In contrast, Software 2.0 is written in much more abstract, human unfriendly language, such as the weights of a neural network. No human is involved in writing this code because there are a lot of weights (typical networks might have millions), and coding directly in weights is kind of hard (I tried).