- Some kind of innovation.
- Two types:
- Gradual vs Radical
- Gradual refers to light changes, or in other words, incremental improvements.
- Radical refers to changing everything.
- Good analogy:
- Think of it as climbing a mountain.
- Gradual is like taking one step at a time, always moving higher than where you currently are.
- With this approach, you can reach a certain maximum altitude, but it may not be the best.
- Radical is like parachuting down onto the mountain from above.
- There are more chances of failure, but if successful, it can be innovative.
- It feels like the gradient descent method in Machine Learning.
- Can we apply techniques from information science to prevent getting stuck in a local optimum? (This kind of thing is interesting.)