this post was submitted on 20 Aug 2025
904 points (98.9% liked)
Technology
74292 readers
4517 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
This is totally expected and also absolutely peanuts compared to Intel, who once released a processor that managed to perform floating point long division incorrectly in fascinating (if you're the right type of nerd) and subtle ways. Hands up everyone who remembers that debacle!
Nobody? Just me?
Anyway, I totally had — and probably still have, somewhere — one of the affected chips. You could check if yours was one of the flawed ones literally by using the Windows calculator.
If I remember correctly the Intel floating point thing didn't come up as a negative for most users like AI does.
Does AI comes up negative for most users? Surely here in Lemmy, yes. But out there I see/hear people using it -for dumb shit, mind you- all the time and being happy about it.
This is only one study, but I saw an article a few months ago talking about a study by a major phone company that found that the vast majority of people (80% or more IIRC) either didn't care about AI features on their phones or actively disliked them.
I think most people don't really care one way or another but hate that it's being shoved into everything, and those who know the stats on how often it's wrong are a lot more likely to actively dislike it and be vocal about their dislike.
A lot of people are fine with getting wrong answers about shit they don't know already. That's what gets spread in social media and what was used for a large portion of the training data and what is available when AI does a web search.
It presents something that looks right, that is what most people care about.