this post was submitted on 04 Sep 2024
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Artificial intelligence is worse than humans in every way at summarising documents and might actually create additional work for people, a government trial of the technology has found.

Amazon conducted the test earlier this year for Australia’s corporate regulator the Securities and Investments Commission (ASIC) using submissions made to an inquiry. The outcome of the trial was revealed in an answer to a questions on notice at the Senate select committee on adopting artificial intelligence.

The test involved testing generative AI models before selecting one to ingest five submissions from a parliamentary inquiry into audit and consultancy firms. The most promising model, Meta’s open source model Llama2-70B, was prompted to summarise the submissions with a focus on ASIC mentions, recommendations, references to more regulation, and to include the page references and context.

Ten ASIC staff, of varying levels of seniority, were also given the same task with similar prompts. Then, a group of reviewers blindly assessed the summaries produced by both humans and AI for coherency, length, ASIC references, regulation references and for identifying recommendations. They were unaware that this exercise involved AI at all.

These reviewers overwhelmingly found that the human summaries beat out their AI competitors on every criteria and on every submission, scoring an 81% on an internal rubric compared with the machine’s 47%.

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[–] [email protected] 111 points 1 week ago (1 children)

And for a much much smaller paycheck.

All corporate gives af about.

[–] [email protected] 59 points 1 week ago (4 children)

It might be all I care about. Humans might always be better, but AI only has to be good enough at something to be valuable.

For example, summarizing an article might be incredibly low stakes (I’m feeling a bit curious today), or incredibly high stakes (I’m preparing a legal defense), depending on the context. An AI is sufficient for one use but not the other.

[–] [email protected] 25 points 1 week ago (1 children)

And you can absolutely trust that tons of executives will definitely not understand this distinction and will use AI even in areas where it's actively harmful.

[–] [email protected] 12 points 1 week ago (1 children)

They'll use it until it blows up in their faces and then they will all backtrack. Executives are like startled cattle.

[–] [email protected] 2 points 1 week ago

Let’s not act like executives are the only morons in this world. Plenty of rank and file are leaning on AI as well.

[–] [email protected] 2 points 1 week ago

Sometimes I am preparing a high stakes communication for work and struggling for brevity. I will ask AI for help reducing my word count and I find it is helpful as an impartial editor. I take its 25% reduction, sigh, accept most of what it sacrificed, fix a word or two, and am done. It’s helpful.

[–] [email protected] 2 points 1 week ago* (last edited 1 week ago) (1 children)

I mean, what you’re essentially implying is, what if we could do a lot of things that we do today, but faster and less quality.

Imo we have too much things today and very few are worth their salt, so this is the opposite of the right direction.

[–] [email protected] 1 points 1 week ago (1 children)

That’s not what I’m implying. What I’m saying is that wasting time and effort on quality is pointless when the threshold for success is low.

For example, I could use aerospace quality parts (perfectly machined to micron-level tolerances) to build a toaster. However, while this would not increase the performance meaningfully, the cost would be orders of magnitude greater. Instead I can use shitty off-the-shelf parts because it doesn’t really make a difference.

Maybe in other words, engineering tolerances apply to LLMs too. They’re crude devices, but it’s totally fine if you have a crude problem.

[–] [email protected] 2 points 1 week ago (2 children)

That’s not what I’m implying. What I’m saying is that wasting time and effort on quality is pointless when the threshold for success is low.

Yes and my response to that is for some people maybe, for others they don’t want a low threshold, they want few good articles instead of spam of low quality.

Maybe in other words, engineering tolerances apply to LLMs too. They’re crude devices, but it’s totally fine if you have a crude problem.

Exactly, I’m saying there is no objective crude problem. You might be okay with simple summaries but I want every single piece of information I consume to have a very high bar.

[–] [email protected] 2 points 1 week ago (1 children)

What if you’re reading Lemmy, and you don’t really feel like reading the article. Is the headline likely to tell you all you need to know or is the ai summary likely to find more info and without the clickbait?

[–] [email protected] 1 points 1 week ago* (last edited 1 week ago)

Imo it’s on me to either read the article or be okay with not being informed. Don’t get me wrong, a summery is good, but not when it’s not reliable and the article is a click away, some might have a different comfort level.

[–] [email protected] 1 points 1 week ago (1 children)

Sure, go for it. But good luck paying an army of copywriters to summarize every article you read.

[–] [email protected] 1 points 1 week ago

No summery is better than a bad summery, it would encourage you to actually read the source.

[–] [email protected] 1 points 1 week ago

Part of the time.