The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

OpenAI’s recently launched o3 and o4-mini AI models are state-of-the-art in many respects. However, the new models still hallucinate, or make things up — in fact, they hallucinate more than several of ...

In its latest addition to its Granite family of large language models (LLMs), IBM has unveiled Granite 3.2. This new release focuses on delivering small, efficient, practical artificial intelligence ...

They found that when the tasks were not in the training data, the language model failed to achieve those tasks correctly ...

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This New AI is 100x Faster at Reasoning Than ChatGPT Your email has been sent The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no ...

There's a curious contradiction at the heart of today's most capable AI models that purport to "reason": They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

In the age of AI, new software releases might come when you least expect it. There's no fixed schedule, with AI firms launching new models and features whenever they feel they are ready for commercial ...

AI reasoning models were supposed to be the industry’s next leap, promising smarter systems able to tackle more complex problems. Now, a string of research is calling that into question. Researchers ...

These newer models appear more likely to indulge in rule-bending behaviors than previous generations—and there’s no way to stop them. Facing defeat in chess, the latest generation of AI reasoning ...

Chinese AI startup MiniMax launched a new reasoning large language model called MiniMax-M1 which it claims is even better than DeepSeek's (DEEPSEEK) upgraded its AI model R1. M1 also scored higher ...

Attorneys and judges querying AI for legal interpretation must be wary that consistent answers do not necessarily speak to consensus or correctness, just as inconsistent answers do not necessarily ...