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Summary
This talk addresses the distinct challenges of designing AI-first products when the foundational technology is advancing at an unprecedented pace. We will discuss the practical implications of this rapid evolution on the design process and share our insights into creating effective user experiences in such a dynamic environment.
Key Insights
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AI technology is evolving faster than in previous tech booms such as the internet and mobile.
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Building with AI requires a continuous reassessment of assumptions due to rapid advancements in model capabilities.
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It is essential to build evaluation systems (evals) to measure the performance and suitability of AI applications over time.
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Effective product design involves understanding both the technical capabilities of AI models and the emotional responses of users.
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Cross-disciplinary teams are crucial for developing AI solutions because the field is still evolving and no clear patterns are established yet.
Notable Quotes
"We've been built, we started a company to build only AI products a few years ago."
"The model capabilities keep evolving very quickly."
"Do never assume that things won't get better."
"Always plan to build for the specific capability that we think it's gonna have in six months."
"If you're gonna do a project very tactically, plan for a lot of meetings."
"We've seen that people trust AI a lot because it just seems very confident."
"It's good to try to find the people that explain things well or that you like."
"You should get good at prompt engineering, but do that by just using AI a lot."
"The big trick is evals, but don't throw away watching users and having decent analytics."
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