- cross-posted to:
- technology@lemmy.world
- technology@beehaw.org
- cross-posted to:
- technology@lemmy.world
- technology@beehaw.org
Lie… no hallucinate…they lie and make shit up… just like a real hooman!! :))
Yeah, had that on my very first attempt at using it.
It used a component that didn’t exist. I called it out and it went “you are correct, that was removed in <older version>. Try this instead.” and created an entirely new set of bogus components and functions. This cycle continued until I gave up. It knows what code looks like, and what the excuses look like and that’s about it. There’s zero understanding.
It’s probably great if you’re doing some common homework (Javascript Fibonacci sequence or something) or menial task, but for anything that might reach the edges of its “knowledge”, it has no idea where those edges may lie so just bullshits.
Can we fucking stop anthropomorphising software?
“Hallucinate” is the standard term used to explain the GenAI models coming up with untrue statements
in terms of communication utility, it’s also a very accurate term.
when WE hallucinate, it’s because our internal predictive models are flying off the rails filling in the blanks based on assumptions rather than referencing concrete sensory information and generating results that conflict with reality.
when AIs hallucinate, it’s due to its predictive model generating results that do not align with reality because it instead flew off the rails presuming what was calculated to be likely to exist rather than referencing positively certain information.
it’s the same song, but played on a different instrument.
when WE hallucinate, it’s because our internal predictive models are flying off the rails filling in the blanks based on assumptions rather than referencing concrete sensory information and generating results that conflict with reality.
Is it really? You make it sound like this is a proven fact.
Is it really? You make it sound like this is a proven fact.
I believe that’s where the scientific community is moving towards, based on watching this Kyle Hill video.
Here is an alternative Piped link(s):
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
I know I’m responding to a bot, but… how does a PipedLinkBot get “Kyle Hill” wrong to “Kyke Hill”? More AI hallucinations?
Op has a pencil in the top right, looks like it was edited
I just want an LLM with a reasonable context window so we can actually write real working packages with it.
The demos look great, but it’s always just around 100 lines of code, which is beginner level. The only use case right now is fake packages.
Claude is 200k
those are tokens not lines of code…
Yeah sorry, I thought that was clear. It’s how context is measured.