this post was submitted on 27 Jun 2026
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The case recently resolved in the plaintiff's favour. though Google intends to appeal, so it's up in the air how things go.
Equally concerning is that these systems are now seeing use in a range of things. There are lawyers who use it to file suits when they shouldn't be, and a US lawmaker was recently found to be using AI to draft laws. What happens when things like that make it into the models training data, rather than just being pulled in by RAG/web tools? They'd become part of the base knowledge of all the models of that line going forward.
It's funny when it's outlandish. The question becomes what happens when it isn't? Even without an agenda, what happens when it cites an outdated/incorrect source, or assumes that someone making a joke was correct, and ends up drawing from that when filling a lawsuit/drafting a law?
Thank you for finding the link! I've no doubt Google will fight for as long as they can, but hopefully the German courts will hold their ground.
I'm far from an expert, but I feel like this is one of the limiting factors of LLMs - they have no sense of broader context. Truth vs. lie, outdated info vs. something that's old but still correct... I'm not sure there's ever going to be an LLM (at least one built in the way they are now) that will be good at actually producing correct responses. Maybe one day we'll find a new way of achieving that goal, but I suspect what we're seeing now isn't going to be it.