Part 5/9:
However, AI's ability to think abstractly and creatively remains a potential weakness. Although models can make informed decisions based on historical data, their capability for forward-thinking prediction in unprecedented market situations (like geopolitical crises) is still under evolution. Clinton observed that AI models, unlike human analysts, lack a structured memory, which can limit their ability to learn from previous failures.
Prompting and Data Utilization
The efficacy of AI models is heavily influenced by the structure of prompts given to them. Clinton pointed out that effective prompting should balance specificity and flexibility; providing the right amount of contextual data can enhance the model's understanding without constraining its analytical capabilities too tightly.