Navigating the Future of Software: AI and Programming Paradigms

The software industry is experiencing profound changes due to AI, marking fundamental shifts not seen in decades.

This session aims to address students preparing for careers in this evolving field.

Software 1.0 consists of traditional code written for computers, while Software 2.0 refers to neural networks programming through parameters.

Software 3.0 is characterized by the use of large language models (LLMs) where natural language prompts program the AI.

Examples of Software 2.0 and 3.0 include Hugging Face, representing the new repositories for AI models.

LLMs have become an integral part of programming, offering capabilities that resemble utilities while also having properties akin to operating systems.

In contrast to previous technologies, LLMs are being adopted by consumers rather than just corporations and governments.

LLMs can be viewed as operating systems that manage complex software ecosystems.

The integration of GUIs with AI will become crucial for effective human interaction with LLMs.

LLMs possess extraordinary encyclopedic knowledge but display cognitive deficits, such as hallucinations and a lack of self-knowledge.

These systems have emergent behaviors that reflect human-like characteristics but also inherent limitations.

The concept of partial autonomy in AI applications will define future software products, balancing human oversight with AI capabilities.

Applications like Cursor and Perplexity exemplify how LLMs can be integrated into user interfaces to improve productivity and context management.

Digital tools must adapt to cater to LLMs, treating them as new consumer entities that need specific programming and interaction frameworks.

Documentation and APIs must evolve to become more accessible and understandable for LLMs.

The landscape of software development is changing rapidly, requiring new skills and adaptability.

Future software will blend traditional coding with AI-driven processes, leading to innovative applications that leverage both human and machine capabilities.