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includenotfoundtoday at 7:49 AM1 replyview on HN

From the official report:

> Since LLMs can give different answers to the same question, each question was run five times. That means, each LLM was tested 600 times, and in total over 10,000 questions and answers were assessed.

> All models were given the same zero-shot format. They were not given worked examples, previous conversations, hints or an opportunity to correct their answers. This is to make it as similar as possible to a response to a question from consumers.

As for the evaluation itself:

> Responses were checked against this (using an LLM-as-a-judge), and was only given a pass if every element was met; otherwise it was assessed as a fail. This all-pass approach was intentionally strict, so that the score measures whether an answer is complete enough to meet the expert legal standard, rather than how many individual points it gets right.

It's just AI slop and it should be taken with a mountain of salt.


Replies

niccetoday at 9:10 AM

> It's just AI slop and it should be taken with a mountain of salt.

Can't you see the irony. You are defeating the argument that LLMs are incorrect or weak with low effort with the term "AI slop" that itself is a narrative that AIs produce weak outputs with low effort.