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Summary
AI moves fast. In the time since we began programming DwAI25 in December, we’ve already seen important new developments like DeepSeek R1, Deep Research from OpenAI and Perplexity, and Mira Murati’s Thinking Machines Lab. By June, the terrain will have transformed even further. In this panel, we’ll learn about the latest developments in AI from representatives from major AI players, and what they mean for UX professionals.
Key Insights
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30 significant large language models released in the last six months.
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The rise of AI agents is changing user behavior in information retrieval.
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Companies like Klarna and Duolingo have reversed AI-driven workforce replacement decisions.
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There is a growing gap between consumer and enterprise AI technologies in terms of accessibility and quality.
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Monetization and value creation will become critical as AI tools evolve.
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AI's implementation raises important ethical considerations for designs and advertisements.
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Trust in AI requires a careful balance between reliance on AI and human oversight.
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Designers need to bring users along in testing and implementing AI solutions.
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Continuous learning is essential for designers to keep up with fast-moving technology changes.
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The next generation will likely be more adept at using AI tools in creative fields.
Notable Quotes
"AI agents are traversing the internet to represent ourselves."
"It's exciting to think about how agents are achieving our outcomes online."
"AI is not sophisticated enough to replace humans."
"There's a big gap between accessible and high-quality AI tools."
"You need to test and bring users along to understand AI's impact."
"I can do the work of what used to be a team of three."
"It's a weird time where efficiency gains can undermine job security."
"AI may make tasks faster, but speed doesn't always mean better quality."
"We're getting to a point where we are required to pay for better AI models."
"This technology is as disruptive as the internet was."
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