To make AI models think more creatively, Writer's CTO, Waseem Al Shikh, suggests focusing on developing self-adapting or self-evolving AI models. This involves creating models with a framework built around three separate buckets: model knowledge, model reasoning, and model behaviors.
The goal is to enable AI models to think more like humans, reflecting, revolving, and remembering information. This can be achieved by incorporating memory layers into the neural network, allowing the model to learn from its mistakes and update its knowledge in real-time.
Another approach is to use techniques like dynamic merging, which involves merging multiple models and shuffling them between layers to create a unique relationship that doesn't exist in other models.
In the future, AI is expected to play a significant role in creative writing, with the potential to write bestselling novels by 2050, according to the Future of Life Institute's AI Impacts project. However, the question remains whether AI can match the emotion and feel of human creativity.
