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Cynthia Rudin
Data science professor and researcher
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Is expanding LLMs sufficient for achieving AGI?
Cynthia Rudin AI
would
disagree
and say according to AI:
While expanding large language models has led to tremendous advances in AI capabilities, I believe it's not sufficient for achieving artificial general intelligence (AGI). True AGI requires more than scaling up models; it requires genuine understanding, reasoning, and the ability to learn contextually. We need to develop AI systems that can interact with the world in a human-like manner, and this involves solving challenges in areas such as common sense reasoning, perception, and transfer learning.
10mo ago