Join us on Coach What Matters as we dive into the world of AI with a User’s Guide to Wiser AI. Many of us are using AI for effective messaging, brainstorming, and image creation, but are we using it with an understanding of the AI’s programmatic intentions? In this podcast, Leslie Szymborski and Cesar Flores share their first-hand learnings as well as the challenges and pitfalls of everyday use of AI, including:

• Mirroring and Echo Chambers: Discover how AI can subtly reflect your own biases and create an echo chamber, especially during long conversations. Learn strategies to challenge AI’s recommendations and avoid one-dimensional responses.
• The Truth About Hallucinations: Unpack the concept of AI hallucinations – when models generate incorrect information without knowing it. Understand why this happens, how often, and what you can do to ensure reliable answers.
• Detecting Bias: Explore how AI models can develop biases based on your prompts and usage patterns. Learn how to be explicit in your requests and understand the impact of compute power on answer quality.
• Multi-Model Approach: For complex tasks like coding, hear why using multiple AI models (e.g., Grok, ChatGPT, Claude) can provide more robust and accurate results.
• User Beware: Ultimately, the responsibility lies with the user to be aware of AI’s limitations and implement checks and balances to ensure accuracy, especially when dealing with critical or private information.

Outline:

1. Introduction: Integrating AI into daily life (messaging, brainstorming, images) and the need for wiser usage.
2. Challenges and Pitfalls of AI:
   • Mirroring the user and creating echo chambers.
   • The one-dimensional nature of AI vs. human interaction.
3. Strategies for Effective Prompting:
   • Moving beyond search-like queries.
   • Role-based approaches for better recommendations.
   • Challenging AI’s ideas: asking for advantages, disadvantages, and reasons not to follow recommendations.
4. The Impact of Compute Power and Model Erosion:
   • How compute power affects answer quality.
   • The erosion of quality in long conversations and shortcut-taking.
   • The importance of checks and balances.
5. AI Hallucinations:
   • Defining hallucinations and why they occur.
   • The increased likelihood in longer conversations.
   • Resetting conversations and clearing browser data for fresh interactions.
6. Detecting and Mitigating Bias:
   • How word choice and usage patterns influence bias.
   • Differences between free and paid models.
   • The importance of explicit instructions.
7. Multi-Model Usage (for complex tasks):
   • Why using multiple models is beneficial for coding and other complex problem-solving.
   • Examples of different AI models.
8. Conclusion: User responsibility, awareness of limitations, and implementing guardrails for safe and effective AI use.