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Large Language Models Are Changing Collective Intelligence Forever
Within teams, organizations, markets, and online communities, ideas from a larger group can help to solve complex problems. Large language models (LLMs) are emerging as powerful tools to unlock even greater potential. Picture an online forum where thousands of voices contribute to a solution, and an LLM synthesizes these diverse insights into a cohesive, actionable plan.
"Because LLMs learn from available online information, they can sometimes overlook minority perspectives or emphasize the most common opinions, which can create a false sense of agreement," said Jason Burton, an assistant professor at Copenhagen Business School. Another issue is that LLMs can spread incorrect information if not properly managed because they learn from the vast and varied content available online, which often includes false or misleading data. Without careful oversight and regular updates to ensure data accuracy, LLMs can perpetuate and even amplify misinformation, making it crucial to manage these tools responsibly to avoid misleading outcomes in collective decision-making processes.
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