Aus der Rubrik „Bildet euch mal nicht so viel auf euer tolles Gehirn ein“:
In diesem Bild gibt es kein Rot.
Experiment: wenn ihr den Schriftzug abdeckt, verschwindet auch das Rot.
#chatgpt macht es in der Bildbeschreibung übrigens richtig.
The unfolding tragedy of the deconstruction of university learning and teaching. Behold, a post in r/professors about the chatgpt wasteland of student submitted work.
@Sburlot You need to post more about going to live in the forest until it understands. Which technically I do. Just without goats, with fiber and dozens of CPUs idling everywhere.
They are completely missing the point of their product. #ChatGPT and other #ai#chatbots are not our friend, and we don’t want them to be!
(If you spend a lot of time „talking to“ chatbots, please go outside where people are. Seriously!)
It is a tool we use for super annoying tasks —write an ALT-tag for an image, fix my shell script, translate something. And we still have to double check everything it does. We can’t and we won’t trust it. (1/2)
I was curious if a niche blog post of mine had been slurped up by #ChatGPT so I asked a leading question—what I discovered is much worse. So far, it has told me:
• use apt-get on Endless OS
• preview a Jekyll site locally by opening files w/a web browser (w/o building)
• install several non-existent #Flatpak “packages” & extensions
It feels exactly like chatting w/someone talking out of their ass but trying to sound authoritative. #LLMs need to learn to say, “I don’t know.”
@cassidy "#LLMs need to learn to say, 'I don’t know.'"
Doing that properly might require... something that isn't an LLM. I'd say the LLM generates something that (statistically) looks like an answer, because that's what its trained to do.
Actually modeling some understanding of truth and knowledge might be a different and more difficult task than modeling language.
@ids1024 yeah, fair point. Which is why I try to constantly use “LLM” instead of “AI,” because people seem to miss the “artificial” part of artificial intelligence. It’s artificial in that it is not intelligent!
This race to use LLMs for everything is so misguided; LLMs can be super cool for very specific things like summarizing a long text, typing suggestions, describing images, etc. but I genuinely think that chat model is just a terrible idea that needs to die.
🤖 NetBSD’s New Policy: No Place for AI-Created Code
— @linuxiac
“New development policy: code generated by a large language model or similar technology (e.g. ChatGPT, GitHub Copilot) is presumed to be tainted (i.e. of unclear copyright, not fitting NetBSD’s licensing goals) and cannot be committed to NetBSD.”
#ChatGPT-4o vient de sortir. Forcément on s'est un peu amusé avec.
On vient de lui faire passer un test de description d'image. Et faut avouer que c'est assez impressionnant.
Ça semble être un bon outil pour fournir des ALT complet aux images.
Qu'en pensez-vous ?
I've been wading into code/APIs I have zero experience with and making remarkable progress. I'm thinking of it as creating a good starting tutorial.
I'm still giving it fairly tiny utility programs (I am just prototyping crazy stuff) I'm not building anything complex. But as a #UX Designer the fact that I can build a working prototype in #javascript or #processing so damn fast is remarkable.
@scottjenson
Once you've learned the basics, it's actually pretty easy to make working web UIs using the standard HTML/CSS/JS stack.
The most time consuming part is getting it to look good, but that's why basically everyone uses tools like https://penpot.app/ to prototype designs first.
The other thing is doing it enough to have an intuitive sense of how things should function, but it just takes practice.
Doing it yourself will produce better results faster once you get the hang of it :)