Effectiveness of Letting AI 'Think Out Loud'

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Allowing the model to 'think out loud' before giving a direct response or answer to a question or problem improves the quality of the answer and the overall result. This approach mimics human reasoning through a problem, leading to better performance and results from the AI model. While previous prompting techniques may lead the model to jump directly to an answer, it is important to guide the model to 'think out loud' for enhanced performance.

I spent an hour and a half with Nathan Labenz, who went deep with me on using ChatGPT to:

Save days of time on programming projects
Boost his creativity
Provide access to limitless expertise

We covered both the practical and philosophical, including:

Using AI in copilot versus delegation mode
How ChatGPT relieves the hidden drudgery of creative work
Prompting techniques to maximize your thought partnership with ChatGPT
How he believes AI will do for cognitive labor what the Industrial Revolution did for manual labor

Nathan is an expert and one of the most interesting thinkers in AI today. I’m excited to share his thinking with you—like, comment, subscribe, and share if you liked this episode.