PodRocket - A web development podcast from LogRocket
Software 3.0 and the AI engineer with Swyx
Oct 4, 2023
Shawn Wang discusses Software 3.0, the role of AI engineers, and the impact of foundation models on AI product creation. They explore model architectures, the challenges of putting foundation models into production, and the evolving landscape of AI developers. They also highlight the role of an AI engineer, OpenAI's recent innovations, and the potential of AI technology.
38:40
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Quick takeaways
- Software 3.0 represents the emergence of foundation models, reducing the time and effort required to develop AI products.
- The role of an AI engineer bridges the gap between machine learning engineers and software engineers, making AI capabilities accessible to developers without extensive ML backgrounds.
Deep dives
Overview of Software 3.0
Software 3.0 is a concept introduced by Andrei Karpathy that distinguishes machine-learned code from hand-coded software. With Software 1.0, developers write every line of code themselves using traditional coding paradigms. In contrast, Software 2.0 utilizes machine learning models, where developers define the architecture and train the model with data. Software 3.0 represents the emergence of foundation models, enabled by the transformer architecture and increased computing power. These foundation models can be readily used off the shelf, reducing the time and effort required to develop AI products.
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