Arithmetic Paradox in AI: Why Advanced Models Fail at Basic Math
24 days ago 高效码农The Arithmetic Paradox: When Advanced AI Stumbles on Simple Math Recently, a seemingly trivial math problem sparked widespread discussion in AI circles: calculating the difference between 10.9 and 10.11. What should be a straightforward elementary school calculation has become a recurring stumbling block for cutting-edge AI models, including the newly launched GPT-5 and popular models like Gemini Pro 2.5. This phenomenon, while amusing on the surface, reveals a profound challenge in artificial intelligence development that deserves our serious attention. The Simple Math Problem That Tripped Up Advanced AI Let’s begin with the concrete example that has become something of a …
LLM Reasoning Limitations Exposed: Apple’s Study Shatters AI Thinking Myths
3 months ago 高效码农The Illusion of Thinking: Apple’s Research Reveals the True Boundaries of LLM Reasoning Abilities 1. Introduction: When “Thinking” AI Became the Industry Fad In recent years, the AI field has witnessed a surge in “reasoning model fever.” Large Reasoning Models (LRMs) such as OpenAI’s o-series, Anthropic’s Claude 3.7 Sonnet Thinking, and Google’s Gemini Thinking have emerged, claiming to “think deeply” through mechanisms like Chain-of-Thought (CoT) and self-reflection before providing answers. These models have shown remarkable performance on reasoning benchmarks like mathematics and coding tasks, leading some scholars to believe that Artificial General Intelligence (AGI) might be achievable within the next …