Google’s AI Overviews are providing “tens of millions of wrong answers … every hour — and hundreds of thousands every minute.”

[leanderlindahl@social.folkdata.se]

@parismarx "Studies have shown that people tend to trust what an AI tells them without question"

[mokhtarstork@sciences.social]

@parismarx I believe there is a lot of confusion over Google AI. "Google AI" is the umbrella term for the company's research division, but Gemini is the actual model we interact with. News reports often use "Google AI" as a catch-all when in fact Gemini is the consolidated brand replacing previous names like Bard and Duet.

#GeminiAI #GoogleAI #TechClarified #AI

[gimulnautti@mastodon.green]

@parismarx Russia was SEO optimizing for AI scrapers already in 2022, feeding psychological warfare narratives under the radar. They knew what’s up.

It’s a shame even our enemy knows more about us than the people we seem to worship.

#nafo

[alterelefant@mastodontech.de]

@leanderlindahl
What could possibly go wrong?
@parismarx

[iveyline@mastodon.social]

@parismarx That's one reason I no longer use Google. AI was the last straw.

[leberschnitzel@existiert.ch]

@parismarx I'm running an LLM at home, and when something doesn't work well with it I go "oh ok I won't use it for that".
And I wonder why that concept got lost for companies.
Well I don't actually wonder because it's money, but I wonder how it got that far

[mnf@mastodon.social]

@parismarx "A recent analysis conducted by THE AI STARTUP OUMI..." ‍

[drahardja@sfba.social]

@parismarx I’ve met people who were excited that their LLM-based information retrieval systems got an 80% correct-answer rate. Any other tech that showed this dismal of a performance would have gotten laughed out of product review, but they couldn’t wait to push it to production.

[timfinnerty@toot.io]

@leanderlindahl @parismarx Do these same people trust all other people without question as well?

[ramblingsteve@floss.social]

@parismarx the joy of conflicting business metrics. Theirs is to serve slop at increasing volume, while for users its to make use of the slop at increasing volume. Errors are downstream of the token spend and they own the legislators, so it becomes a you problem for big tech.

[raymaccarthy@mastodon.ie]

@parismarx
There was study that showed mostly AI LLMs "shorten" rather than summarise and will likely miss a summary already in the document. They have zero context for what's important. No intelligence, so this is no surprise.

I now use Qwant for search. I've complained to Viber about the Summarise button they add on some versions.