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11 articles
OpenAI staffer Vaibhav Srivastav outlines how GPT-5.6 Sol's five reasoning levels align with task complexity, recommending a gradual scaling approach for optimal performance.
Microsoft has unveiled its first advanced reasoning AI model, MAI-Thinking-1, at Build 2026, marking a significant step in the company's independent AI development journey.
Microsoft has unveiled its first reasoning model, MAI-Thinking-1, alongside new coding, image, and voice AI tools at the Build conference. The announcement marks a significant step in Microsoft's AI strategy, positioning the company to compete more directly with industry leaders like OpenAI and Google.
This article explains how OpenAI's ChatGPT Images 2.0 enhances image generation through reasoning capabilities and web search integration, enabling more consistent and contextually aware visual output.
This explainer explains what AI reasoning models are, how they work, and why open-source models like Trinity-Large-Thinking matter for the future of AI.
This article explains the concept of open reasoning AI models and how Arcee AI's Trinity Large Thinking advances the field by enabling long-horizon agent behaviors and tool use through an Apache 2.0 open-source framework.
Learn how Qualcomm is shrinking AI reasoning models to fit smartphones, making them faster, more private, and more reliable for everyday use.
Learn how Bayesian reasoning can help AI systems update beliefs more logically, just like humans do. This approach is key to improving large language models' ability to reason and make decisions.
OpenAI releases GPT-5.4 Thinking System Card, introducing enhanced reasoning and decision-making capabilities that represent a significant advancement in AI development.
This article explains why AI reasoning models often overthink solutions and how new research helps them know when to stop.
ByteDance's AI research introduces a novel approach to stabilizing long chain-of-thought reasoning by mapping molecular bonds in AI reasoning processes, potentially revolutionizing how LLMs handle complex tasks.
