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Summary
If you’re a UX practitioner or product designer, there’s a new way to learn your craft: the Rosenbot, a GPT-4 chatbot trained on Rosenfeld’s conferences, books, and more. Aside from being incredibly useful, its focused scope and unusually high degree of content quality impacted the Rosenbot’s design approach in some interesting ways. Join Rosenfeld Media founder Lou Rosenfeld and Rosenbot developer Peter van Dijck for a demo and a dive into the design decisions that drove the Rosenbot’s development.
Key Insights
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The Rosen bot is built on a foundation of curated UX and product design content.
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Content consumption has shifted towards subscription models post-COVID, motivating the development of the Rosen bot.
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The Rosen bot offers resources for both immediate information needs and structured learning paths.
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High-quality and rigorously edited content minimizes the risks of inaccuracies often seen in AI models.
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The bot is accessible to both free and subscription users, providing broad learning opportunities.
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The bot aims to serve as a reliable resource compared to Google and YouTube for design-related queries.
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User interaction with the bot can help clarify complex topics and provide a starting point for deeper learning.
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The subscription service not only offers content but also community engagement through events and discussions.
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The future of the bot includes potential integrations for personalized learning plans and enhanced interactivity.
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Maintaining content quality is essential to avoiding the common 'garbage in, garbage out' problem in AI.
Notable Quotes
"Fast forward 15 years or thereabouts, and now we have about 65 books and 1000 recordings."
"We like to think it's super high quality content."
"Our authors go through a rigorous editorial process and our speakers prepare for three months to be on stage."
"People often want something that's not just ad hoc; they want something programmatic."
"This system provides a way to synthesize information and creates learning opportunities without cannibalizing book sales."
"It's trained on all the content that Rosenfeld Media has accumulated."
"We are attempting to make this smarter while ensuring quality and scope."
"The input used helps pull together relevant results while filtering out lower quality content."
"It's vital to understand the landscape, especially for junior designers who may feel intimidated reaching out for help."
"This resource aims to combine individual learning and community sharing effectively."
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