AI models can make mistakes in calculations
Analysis
The statement that AI models can make mistakes in calculations is well-supported by multiple references. Articles and user experiences highlight that AI, including models like ChatGPT, often struggle with mathematical tasks and can produce incorrect results. This is attributed to their limited understanding and reasoning capabilities, as well as inherent unpredictability in their operations. The consensus across the references indicates that while AI can perform calculations, it is prone to errors, particularly in complex scenarios. Therefore, the statement is considered correct based on the evidence provided.
Sources
When AI fails, who is to blame? How can we ensure accountability and transparency in AI systems?
Errors matter. Kids could memorize incorrect solutions that are hard to unlearn, or become more confused about a topic.
Is the future of Artificial Intelligence dystopian or utopian? This question has always been a subject of debate, with major camps supporting both sides.
Neural networks can be disastrously brittle, forgetful, and surprisingly bad at math
The term is used to mean so many things many of which are themselves not well defined enough to say what they are.
Think of current LLMs like ChatGPT as if they’re bright 4-year-olds who’ve just learned how to read, but haven’t been taught how to do anything else.
I even did half the calculations by creating the matrices and giving to ai but still it was making a mistake.
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