Current LLMs Struggle with Simple List Comparison Tasks Like Matching TLDs to HTML5 Elements
By
FromTheArchives
8mo ago· 3 min readenInsight
90/100
Golden Brown
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Summary
The article examines how three major commercial LLMs (ChatGPT and two others) fail at a simple task: identifying which top-level domains (TLDs) share names with valid HTML5 elements. The author demonstrates that despite this being a straightforward list comparison task that humans can perform, current LLMs struggle with it, highlighting limitations in their reasoning and factual accuracy capabilities.
Key quotes
· 5 pulledThis is a pretty simple question to answer. Take two lists and compare them.
I know this question is possible to answer because I went through the lists two years ago.
So surely this is the sort of thing which an LLM excels at, right? Wrong!
Here's how the three big beasts fared.
OpenAI's LLM does a poo
I asked three different commercially available LLMs the same question: Which TLDs have the same name as valid HTML5 elements? This is a pretty simple question to answer. Take two lists and compare them. I know this question is possible to answer becaus
