Exponential Growth = Feedback Loops
Exponential growth results from feedback loops — mechanisms where each output serves as the next input. This process turns linear operations into multiplicative ones.
1. Nature’s Blueprint: The Fibonacci Sequence
The Fibonacci sequence (0, 1, 1, 2, 3, 5, 8, …) illustrates a simple feedback loop: each number is the sum of the two preceding numbers. This recursive method parallels processes such as population growth and compound interest.
2. Moore’s Law: Technology’s Iterative Improvement
Moore’s Law observed that computing power doubled roughly every two years. Advances in chip design enabled better tools, which in turn facilitated further improvements in technology. This cycle is an example of a feedback loop driving progress.
3. AI Training: Scientists and Iterative Data Enhancement
In AI, scientists lead the training process. AI does not train itself; rather, it assists researchers by streamlining data preparation. The cycle is as follows:
- Training: Scientists use existing data to train an AI model.
- Data Generation: The model, once deployed, produces new data through its outputs.
- Iteration: Researchers incorporate this data into subsequent training rounds, enhancing the model iteratively.
This feedback loop expedites each training iteration by simplifying data handling, thereby supporting more efficient model development.
P. S. Thanks for reading. I used ChatGPT and Deepseek assistance.
