Apple Inc. shares rose to a record high on Tuesday, extending recent gains fueled largely by optimism that the company will gain from the rollout of artificial-intelligence-powered iPhones.

Apple'siPhone has achieved record-high sales volume for a third quarter of the year, while the global smartphone market continues to recover.

LLMs from OpenAI, Google, Meta, and others have been touted for their impressive reasoning skills. But research suggests their purported intelligence may be closer to "sophisticated pattern matching" than "true logical reasoning." Yep, even OpenAI's o1 advanced reasoning model.

For a while now, companies like OpenAI and Google have been touting advanced "reasoning" capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from six Apple engineers shows that the mathematical "reasoning" displayed by advanced large language models can be extremely brittle and unreliable in the face of seemingly trivial changes to common benchmark problems.

Apple's AI research team has uncovered significant weaknesses in the reasoning abilities of large language models, according to a newly