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LLMs are still surprisingly bad at some simple tasks

shkspr.mobi

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Re: LLMs are still surprisingly bad at some simple tasks

#2
> “To stave off some obvious comments:

> yoUr'E PRoMPTiNg IT WRoNg!

> Am I though?”

Yes. You’re complaining that Gemini “shits the bed”, despite using 2.5 Flash (not Pro), without search or reasoning.

It’s a fact that some models are smarter than others. This is a task that requires reasoning so the article is hard to take seriously when the author uses a model optimised for speed (not intelligence), and doesn’t even turn reasoning on (nor suggest they’re even aware of it being a feature).

I asked the exact prompt to ChatGPT 5 Thinking and got an excellent answer with cited sources, all of which appears to be accurate.

Re: LLMs are still surprisingly bad at some simple tasks

#4
post #2

> “To stave off some obvious comments: > yoUr'E PRoMPTiNg IT WRoNg! > Am I though?” Yes. You’re complaining that Gemini “shits the bed”, despite using 2.5 Flash (not Pro), without search or reasoning. It’s a fact that some models are smarter than others. This is a task that requires reasoning so the article is hard to take seriously when the author uses a model optimised for speed (not intelligence), and doesn’t even…

In my experience reasoning and search come with their own set of tradeoffs. It works great when it works. But the variance can be wider than just an LLM.

Search and reasoning use up more context, leading to context rot, and subtler harder to detect hallucinations. Reasoning doesn’t always focus on evaluating the quality of evidence, just “problem solving” from some root set of axioms found in search.

I’ve had this happen in Claude code for example where it hallucinated a few details about a library based on what badly written forum post.

Re: LLMs are still surprisingly bad at some simple tasks

#9
post #3

So are people?

The difference might be people are actually held accountable for the results.

Why is that better if in aggregate, the people who can be held accountable are worse anyway?

We are killing thousands on the road to be sure we can blame a driver instead of a computer as one example.

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