Researchers Warn Against Treating AI Outputs as Human-Like Reasoning

Researchers warn against the interpretation of AI's "chains of thought" as signs of human reasoning "all that matters is whether the final answer is correct."The ability of language models to "reason" is a debate. Many view models focused on reasoning as a marketing argument. Apple studied the subject and reported that it found no evidence of formal reasoning in language models. A new study indicates that the "chains of thought" of AI as a sign …

Rethinking ITSM in the Age of AI—Moving Beyond Automation & Into Reasoning - GovCon Wire

By Jennifer Sample, Ph.D., chief technology officer at Empower AI As organizations and agencies modernize IT operations to improve service quality, security and efficiency, AI-driven IT service management, dubbed ITSM, has emerged as a transformative capability. But beyond the buzz, the real change isn’t just a new level of automation, it’s intelligence. Today’s next-generation ITSM systems, powered

Researchers Warn Against Treating AI Outputs as Human-Like Reasoning

Arizona State University researchers are pushing back [PDF] against the widespread practice of describing AI language models' intermediate text generation as "reasoning" or "thinking," arguing this anthropomorphization creates dangerous misconceptions about how these systems actually work. The resea...

Just building more and more LLMs will not lead to a general AI, researchers say. Rather, the path is a dead end. (AI, studies)

Wait a minute! Researchers say AI's "chains of thought" are not signs of human-like reasoning

A research team from Arizona State University warns against interpreting intermediate steps in language models as human thought processes. The authors see this as a dangerous misconception with far-reaching consequences for research and application. The article Wait a minute! Researchers say AI's "chains of thought" are not signs of human-like reasoning appeared first on THE DECODER.

A research team at Arizona State University warns against interpreting intermediate steps in language models as human thinking processes. The authors see this as a dangerous misconception with far-reaching consequences for research and application. The article Hm, Moment mal mal! Researchers warn of humanized AI "thoughts" first appeared on THE-DECODER.de.