OpenAI, for its part, has claimed reasoning models can “solve harder problems” than previous models and represent a step change in generative AI development.

New Apple study challenges whether AI models truly “reason” through problems Puzzle-based experiments reveal limitations of simulated reasoning, but others dispute findings.

FrontierMath, a new benchmark from Epoch AI, challenges advanced AI systems with complex math problems, revealing how far AI still has to go before achieving true human-level reasoning.

Current AI models struggle to solve research-level math problems, with the most advanced AI systems we have today solving just 2% of the hundreds of challenges faced.

Not all AI scaling strategies are equal. Longer reasoning chains are not sign of higher intelligence. More compute isn't always the answer.

Breakthrough as scientists discover how the human brain solves new problems Researchers have developed tests that can be used to assess a person’s reasoning skills ...

The new model is designed to solve complex problems across a small handful of fields, but OpenAI says the model performs similarly to Ph.D. students in those tasks.

Over the weekend, Apple released new research that accuses most advanced generative AI models from the likes of OpenAI, Google and Anthropic of failing to handle tough logical reasoning problems ...