How to Use ChatGPT as a Copilot for Learning - Ep. 4 with Nathan Labenz
Dec 20, 2023
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Nathan Labenz, founder of Waymark and host of Cognitive Revolution, dives deep into leveraging ChatGPT for learning and creativity. He discusses the transformative potential of AI, equating its impact on cognitive labor to that of the Industrial Revolution on manual work. Labenz highlights practical uses, from programming to generating visual content, and emphasizes effective prompting techniques. He also explores the balance between AI as a co-pilot and the importance of human oversight, ultimately envisioning a future where AI enhances our creative processes.
AI in co-pilot mode can provide real-time help and suggestions, increasing productivity and saving time.
Using ChatGPT's tutorial feature can efficiently assist in understanding unfamiliar concepts and boost development productivity.
Perplexity feature of ChatGPT can provide accurate and helpful answers, saving time in researching information and potentially transforming various domains.
Deep dives
Building a Chat GPT App for AI Assistance
In this podcast episode, the host discusses building a chat GPT app for AI assistance. The app is designed to offload cognitive work from humans by utilizing AI in a co-pilot mode. The speaker explains that AI can help in two main modes: co-pilot mode, where AI provides real-time help and suggestions, and delegation mode, where AI can fully take over tasks. The potential benefits of AI assistance include increased productivity, access to expertise, and time saving. However, the speaker emphasizes the importance of maintaining human control over AI and acknowledges the potential risks and challenges that AI presents in shaping the future.
Using Chat GPT for Creating Diagrams
In this podcast episode, the speaker describes using Chat GPT to create diagrams for a provisional patent application. The speaker explains that they had an app for creating advertising videos and needed to document its structure in diagrams. By providing instructions and utilizing graph visualization (graph viz) or mermaid syntax, the speaker was able to generate and refine diagrams with the assistance of Chat GPT. The diagrams were effectively used to represent their app's structure and aid in the process of filing a patent application.
Navigating the Challenges of Buying a Used Car
In this podcast episode, the speaker shares their experience of shopping for a used car and the challenges they encountered. They highlight the difficulties of navigating the car dealer websites and understanding the different trim levels of vehicles. The speaker discusses their decision to finally purchase a used minivan and acknowledges the complexities of the car-buying process, especially for those who are not car enthusiasts. They reflect on the importance of researching and understanding the features and options available when purchasing a used car.
Using ChatGPT to Help with React App Development
The podcast episode discusses how the speaker used ChatGPT to assist them in developing a React app. They explained that they gave the model a prompt about their React app project and asked for an explanation of the app's structure. By providing more information, the model gave a tutorial on the different components such as React, Redux, and additional slice JS toolkits. The speaker found this tutorial feature helpful in quickly getting a rundown of unfamiliar concepts. They also mentioned how they asked the model for assistance in printing out the file structure of their project. The model provided the necessary command and even suggested installing a required package. Overall, the speaker described their experience as a time-saving and efficient solution to their development challenges.
Using Perplexity for Fact-Based Questions
In addition to utilizing ChatGPT for development tasks, the podcast episode highlights the speaker's use of perplexity for fact-based questions. They mentioned using perplexity to gather information about minivan models and trims, including details about features like USB chargers. The speaker emphasized how perplexity provided accurate and helpful answers, saving them from the time-consuming task of researching the information themselves. They compared perplexity to other traditional search methods and expressed their confidence in its reliability for practical purposes. The speaker also discussed how perplexity could potentially transform fields like medicine, citing a recent study where the AI outperformed human clinicians in differential diagnosis. They foresee a future where access to AI expertise becomes widespread and highly beneficial in various domains.
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.
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