In early June, Apple researchers released a study suggesting that simulated reasoning (SR) models, such as OpenAI's o1 and o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking, produce outputs consistent ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are ...

Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...

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.

Just days ahead of the much-anticipated Worldwide Developer Conference (WWDC), Apple has released a study titled “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning ...

A research paper from Apple published on June 6 stated that although large reasoning models (LRMs) showed improved performance on benchmarks, they struggled with accuracy when the problems became more ...

AI reasoning models were supposed to be the industry's next leap, promising smarter systems able to tackle more complex problems and a path to superintelligence. The latest releases from the major ...

AI models solved math problems by processing them using natural language AI could soon tackle unsolved research problems, says math professor and former champion OpenAI self-published results before ...