Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Microsoft has introduced a new set of small language models called Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning, which are described as "marking a new era for efficient AI." These ...

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Phi-4 will compete with other small models such as GPT-4o mini, Gemini 2.0 Flash, and Claude 3.5 Haiku. Share on Facebook (opens in a new window) Share on X (opens in a new window) Share on Reddit ...

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

OpenAI o1 is a new large language model trained with reinforcement learning to perform complex reasoning. o1 thinks before it answers—it can produce a long internal chain of thought before responding ...

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...