In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
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AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Modern artificial intelligence systems operate with a fundamental paradox: they demonstrate remarkable reasoning capabilities while simultaneously suffering from systematic amnesia. Large language ...
Artificial intelligence (AI) reasoning models aren't as smart as they've been made out to be. In fact, they don't actually reason at all, researchers at Apple say. Reasoning models, such as Meta's ...
Everyone knows that AI still makes mistakes. But a more pernicious problem may be flaws in how it reaches conclusions. As generative AI is increasingly used as an assistant rather than just a tool, ...
What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...
OpenAI has officially bridged the gap between mobile and desktop intelligence with its latest update to the ChatGPT Android ...
What if machines could not only process data but also reason through it like a human mind—drawing logical conclusions, adapting to new challenges, and solving problems with unprecedented precision?
Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...
AI reasoning models that can ‘think’ are more vulnerable to jailbreak attacks, new research suggests
New research suggests that advanced AI models may be easier to hack than previously thought, raising concerns about the safety and security of some leading AI models already used by businesses and ...
In 2025, misconceptions about AI flourished as people struggled to make sense of the rapid development and adoption of the ...
Discovering new inorganic materials is central to advancing technologies in catalysis, energy storage, semiconductors, and ...
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