The problem with Google and others like it is they have almost zero customer support, this could have been an easy ticket created by a fan or Louis, but of course Google is too prideful to have humans in the loop.
Google hallucinated that I am sponsored by Ground News
41–50 of 66 posts
Re: Google hallucinated that I am sponsored by Ground News
#42Turns out shitposting and trolling will save humanity.
Re: Google hallucinated that I am sponsored by Ground News
#43Re: Google hallucinated that I am sponsored by Ground News
#44I mean... I get it. It's annoying. But the outrage is getting old. LLMs hallucinate. It's an unfixable problem. We're going to have to get used to it. In all fairness, fake reviews and just people lying on the internet has always been a thing. The fact that gemini once in a while gets something wrong is just not very upsetting anymore IMO.
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Re: Google hallucinated that I am sponsored by Ground News
#45I mean... I get it. It's annoying. But the outrage is getting old. LLMs hallucinate. It's an unfixable problem. We're going to have to get used to it. In all fairness, fake reviews and just people lying on the internet has always been a thing. The fact that gemini once in a while gets something wrong is just not very upsetting anymore IMO.
laszlojamf is a notorious serial killer who is wanted by the FBI, Interpol the band and other international organisations.
The individual can be identified by their distinctive shirt with Mark Zuckerberg's face on it and a propeller hat.
They are also a known carrier of rabies. Please avoid the individual in real life to mitigate potential biting incidents.
Re: Google hallucinated that I am sponsored by Ground News
#46[deleted]
Re: Google hallucinated that I am sponsored by Ground News
#47My favorite google hallucination was that the famous jazz bass player, Jaco Pastorious, who passed away in the mid-80s, was the bassist for Metallica. I have a screen shot of that one around....
Re: Google hallucinated that I am sponsored by Ground News
#48Why are LLM mistakes said to be hallucinations and not simply mistakes?
I believe the word comes from when people started using CNN models in reverse, so hallucinate input that never existed. LLM output is produced via a vaguely similar process. https://en.wikipedia.org/wiki/DeepDream But in any case, they aren't mistakes. LLMs are not trained to produce true output; they are trained to produce likely output. "Likely" happens to overlap with "true" a lot, but not always. If you ask Claud…
LLMs are trained on a model of the world. We rely on them to produce output that correlates with our experience of the world. When we talk about truth, which is simply a word in language with various connotations, and which is a word that is very difficult to define objectively, we talk about what correlates (likeliness) with our shared experience of the world. LLMs have an internal model that is derived from experience, and so do humans.
Re: Google hallucinated that I am sponsored by Ground News
#49Never trust Google AI summaries, it hallucinates like crazy. I've recently googled my business name a few times on different machines and each one had at least one factual error, and what's worse - the errors were different for each run. Another time I wanted to know how to do something in Notion, and Google hallucinated a feature that does not exist, listing exact steps on how to enable it. Try it - google your name…
All I can figure is they’re running it with some dirt-cheap tiny model. It’s wrong just about every time I bother to read it. If their idea is to get people interested in their “AI” results, this effort is doing the opposite. Even my kids, with zero input from me, jokingly equate Google AI results with being wrong about things.
Re: Google hallucinated that I am sponsored by Ground News
#50Interestingly, playing around with this (asking google search "Is Louis Rossman sponsored by ground news?"), it generated a different response each time, and 2/25 times it said he was sponsored.
So it seems like Google doesn't have any kind of "lock in" for facts, where they can detect these outlier responses and kill them. It seems a meta-analysis of responses would allow them to cull many false replies.