Exploring the Evolving Landscape of Programming and AI
For over four decades, I’ve been captivated by coding and its boundless possibilities. From my first Commodore 64 line of code to the dawn of Large Language Models (LLMs), the journey has been transformative.
Key Insights:
- Shifting Paradigm: The way we code is changing; today, much can be generated without hand-written lines.
- World Models: Innovations like DeepMind’s Genie 3 show that environments can adapt and evolve based on user actions—without traditional coding.
- Simulacrum of Software: The future suggests we may not need detailed, scripted systems. AI can learn and replicate behaviors, blurring the lines between software and simulated environments.
The idea that software may soon be simulated rather than explicitly coded is thrilling and thought-provoking.
🔍 Curious about how AI will shape the future of coding? Engage with this post, share your thoughts, and let’s explore together!
