In this episode, Olly and Ben discuss the Ryder Cup and the effective use of data in sports, particularly focusing on Eduardo Molinari's role in the European team. They explore how data can drive positive outcomes and compare it to the American team's approach, the concept of AI, and the importance of prompt engineering. During the episode Ben and Olly discuss how the quality of prompts can influence the effectiveness of AI responses and the need for validation in AI interactions.

Key Takeaways

• The Ryder Cup showcased the power of data in sports.
• Eduardo Molinari played a crucial role in data analysis for the European team.
• Data should be used for positive outcomes in decision making.
• The American team may not have utilized data as effectively as the Europeans.
• AI's effectiveness can be influenced by the quality of prompts.
• The concept of an 'ever decreasing circle' in AI training data is significant.
• A large percentage of stored data is not utilized effectively.
• Investing time in crafting prompts can lead to better AI responses.
• Prompt engineering is becoming a critical skill in AI interactions.
• Validation of AI responses is essential for accuracy.