The Worst Language Won
a day ago
- #Python
- #Programming
- #AI
- Python is slow and unsafe but dominates AI and ML research.
- Python's simplicity and cognitive transparency enable fast iteration and experimentation.
- Python's REPL and notebook environments are ideal for rapid prototyping and feedback.
- Typed languages introduce friction with type signatures and compiler demands.
- Python's 'bazaar' model contrasts with the 'cathedral' approach of other languages.
- Scientific Python libraries (NumPy, SciPy, etc.) are managed with stability and deep domain expertise.
- Python's early imperfection and simplicity invited contributions and stakeholdership.
- Deep learning and AI research align with Python's empirical and experimental nature.
- Agent development benefits from Python's notebook environments for rapid iteration.
- Python bridges natural language and code, making it ideal for AI systems and human collaboration.
- Python's dominance in AI is due to its fit with how researchers think and experiment.