Now we need to make a logic puzzle involving two people and one cup. Perhaps they are trying to share a drink equitably. Each time they drink one third of remaining cup’s volume.
Step one: Drink two-thirds of the cup's volume
Step two: Piss one sixth of the cup's volume
Problem solved
Long-term, I'm expecting itch to dive in popularity from this - they've nuked much of the trust they've built up over the years with this.
Two ferrymen and three boats are on the left bank of a river. Each boat holds exactly one man. How can they get both men and all three boats to the right bank?
Officially, you can't. Unofficially, just have one of the ferrymen tow a boat.
Caught a particularly spectacular AI fuckup in the wild:
(Sidenote: Rest in peace Ozzy - after the long and wild life you had, you've earned it)
Found a banger in the comments:
Hey, remember the thing that you said would happen?
The part about condemnation and mockery? Yeah, I already thought that was guaranteed, but I didn't expect to be vindicated so soon afterwards.
EDIT: One of the replies gives an example for my "death of value-neutral AI" prediction too, openly calling AI "a weapon of mass destruction" and calling for its abolition.
Managed to stumble across two separate attempts to protect promptfondlers' feelings from getting hurt like they deserve, titled "Shame in the machine: affective accountability and the ethics of AI" and "AI Could Have Written This: Birth of a Classist Slur in Knowledge Work".
I found both of them whilst trawling Bluesky, and they're being universally mocked like they deserve on there.
I don't keep track, I just put these together when I've got an interesting tangent to go on.
Discovered some commentary from Baldur Bjarnason about this:
Somebody linked to the discussion about this on hacker news (boo hiss) and the examples that are cropping up there are amazing
This highlights another issue with generative models that some people have been trying to draw attention to for a while: as bad as they are in English, they are much more error-prone in other languages
(Also IMO Google translate declined substantially when they integrated more LLM-based tech)
On a personal sidenote, I can see non-English text/audio becoming a form of low-background media in and of itself, for two main reasons:
First, LLMs' poor performance in languages other than English will make non-English AI slop easier to identify - and, by extension, easier to avoid
Second, non-English datasets will (likely) contain less AI slop in general than English datasets - between English being widely used across the world, the tech corps behind this bubble being largely American, and LLM userbases being largely English-speaking, chances are AI slop will be primarily generated in English, with non-English AI slop being a relative rarity.
By extension, knowing a second language will become more valuable as well, as it would allow you to access (and translate) low-background sources that your English-only counterparts cannot.
Not a sneer, but still inexplicably funny: You Can Now Venmo the Government to Help Pay Off National Debt