Software 2.0 (Andrej Karpathy-2017)

His argument is that AI is a new and powerful way to program computers. As LLMs have improved rapidly, this thesis has proven prescient, and it gives a good mental model for how the AI market may prog

Resource link: https://karpathy.medium.com/software-2-0-a64152b37c35

Software 2.0 is a term coined by Andrej Karpathy, the director of AI at Tesla, to describe the paradigm shift in software development driven by machine learning. Instead of writing code in traditional programming languages, software 2.0 involves creating and training neural networks that can perform complex tasks such as computer vision, natural language processing, and reinforcement learning.

Software 2.0 has many advantages over software 1.0, such as:

- It can handle noisy and ambiguous data better than hard-coded rules.

- It can adapt and improve over time with more data and feedback.

- It can leverage the power of parallel computing and cloud services to scale up easily.

- It can enable new applications and domains that were previously impossible or impractical.

However, software 2.0 also poses new challenges and risks, such as:

- It requires a different skill set and mindset from software 1.0 developers, who need to understand the basics of machine learning, data science, and statistics.

- It introduces new sources of uncertainty and error, such as model bias, overfitting, underfitting, and adversarial attacks.

- It raises ethical and social issues, such as privacy, fairness, accountability, and transparency.

Therefore, software 2.0 is not a replacement for software 1.0, but a complement and an extension. Software 2.0 developers need to collaborate with software 1.0 developers to create robust and reliable systems that can benefit from both worlds.