Andrew Rogoyski, from the Institute for People-Centered AI at the University of Surrey, noted that the industry may have reached a “cul-de-sac” in current approaches to AI.
“The finding that large reasoning models lose the plot on complex problems… implies that we’re in a potential cul-de-sac,” Rogoyski said.
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Gary Marcus, a long-time AI critic and academic, described Apple’s findings as “pretty devastating.”
“Anybody who thinks LLMs are a direct route to the sort [of] AGI that could fundamentally transform society for the good is kidding themselves,” Marcus wrote.
Despite the skepticism, many users—including those of OpenAI’s ChatGPT o3—still find value in reasoning models.
“I’m not giving up on reasoning models even if they can’t truly think,” said one o3 user. “It makes mistakes and hallucinates, but it’s reasoning still feels stronger than what basic LLMs can do.”
