This is a Plain English Papers summary of a research paper called Study Reveals Major Gaps in AI Models' Basic Math Skills - Even GPT-4 Struggles with Simple Counting. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- New benchmark to test numerical abilities of Large Language Models (LLMs)
- Tests 10 fundamental math skills from basic counting to advanced calculations
- Evaluates models like GPT-4, Claude, and LLaMA on 2000 diverse math problems
- Reveals significant gaps in LLMs' numerical reasoning capabilities
Plain English Explanation
Modern AI language models struggle with numbers in ways that might surprise us. Think of them like students who can write beautiful essays but stumble when doing basic math homework. This research created a special math test to see exactly where these AI models get confused.
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Top comments (1)
One of the issues of papers on AI is that they age like milk. An analysis of GPT-4 feels like ancient history, even though it's only a few months ago. GPT-4/4o weren't built to do math, and the AIME test is the normal way that such models are measured. The ability of AI to do math has massively increased that by now we are into the 90s on the AIME 24/25 benchmarks - I can't remember what GPT-4 scored, but 4o was only a 13%.
Here's the previous OpenAI model test results.