Hirom comments on How AI chatbots may be talking people out of climate action

[–] Hirom@beehaw.org 3 points 3 weeks ago* (2 children)

Since status-quo bias can be beneficial in some contexts, the researchers do not advocate purging it from LLMs. Instead, (..) individuals who use LLMs for advice should be aware of this bias, and engineer their prompts accordingly.

It sounds like they're saying "you're holding it wrong".

What about NOT asking LLMs for advices, and relying on advices from professionals or experts on the topic?

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[–] late_pessimistic@slrpnk.net 3 points 3 weeks ago (1 child)

What about NOT asking LLMs for advices, and relying on advices from professionals or experts on the topic?

I mean that would be ideal, but IMO this article about another risk of using LLMs is still pretty useful. We need to understand what we are dealing with without shying away.

Its same way how HIV initial response failed because everyone just shamed HIV gay and "you shouldn't have gay promiscuous sex anyway" instead of research.

Same way we shouldn't shame use of LLMs, and intead try to understand what its doing to brains and society and spread awareness.

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[–] Hirom@beehaw.org 0 points 3 weeks ago* (last edited 3 weeks ago)

It's a bad analogy. People do not conciously decide sexual orientation, and have been having sex for millenias. And we now know abstinence is a inneffective public health mesure.

Using LLMs is a concious decision, in some cases with pressure and heavy marketing from vendors. It's a a relatively new experimental tech, we're already aware of multiple negatives aspects (environmental, loss of skills, syncophancy, confident but wrong answer ...).

The use of any experimental tech with bad side effects should be limited to small scale experiments, until we can hopefully figure out if it can be used safely-ish. What's happening is the opposite: companies try to maximizing usage hoping we'll eventually sort things out.

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