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Don't believe the GenAI hype—learn from it instead, say researchers

When is a hype bubble more than just a bubble? When it becomes a mass, real-time learning event. New research published in the Academy of Management Journal by Anna Brattstrom, a professor at the University of St Andrews Business School, and Hassan Hamadi, a PhD student at Lund University, aimed to understand the hype around generative AI.

Don't believe the GenAI hype—learn from it instead, say researchers

Don't believe the hype surrounding generative AI, say researchers. A new study published in the Academy of Management Journal found that social media discussion around ChatGPT did not follow the typical pattern of hype cycles. Instead, the public's immediate engagement with the technology helped to collectively learn about its capabilities and limitations.

Researchers Anna Brattstrom and Hassan Hamadi analyzed over 200,000 X posts from the first five months after ChatGPT's launch and discovered a unique event where hype transformed into a learning opportunity. The widespread experimentation on social media provided a moderation effect, allowing for nuance and insight to emerge, ultimately refining predictions about the technology's potential.

The study suggests that organizations should monitor public experimentation and safe learning opportunities to gain a more balanced perspective on new technologies, rather than solely relying on expert commentary.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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