Artificial intelligence is undergoing a paradigm shift with the introduction of Software 2.0, which emphasizes the importance of datasets over traditional programming code. Large language models like GPT-2 and LLaMA illustrate this change: their source codes are surprisingly concise compared to their vast capabilities. As our understanding of AI evolves, recognizing that data serves as the new source code is crucial, leading to a redefinition of what open-source means in this context.
The real knowledge and intelligence in AI systems come from the datasets used for training, marking a revolutionary shift in software development.
Software 2.0 emphasizes that data is becoming the new source code, fundamentally altering how we approach programming.
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