I’m still working on filepond v5. A JavaScript file upload library that supports client side image manipulation, chunked uploading, various file sources, and is procedurally animated.
It probably has to do with other styles assigned to the textarea, maybe the ::placeholder as it hides when typing (I assume on focus)
In any case. In the screenshot the scrollbar is inside the textarea as it aligns with the resize control on its right. This is basically all the info needed to deduce the textarea overflow is the culprit.
But could be that the overflow-x is just a bandaid hiding the issue causing the overflow in the first place, like crazy styles on the placeholder.
+1 from me. I always find it very challenging to speak to strangers, but not at the Boulder gym. There's just so many opportunities to start a natural conversation:
- new climbers asks you for advise
- you can ask a new climber if they'd like some technique tips
- you finally top your project and someone commends you for it
- someone tops your project and you ask them for advise
- you're trying to top a boulder on a new set and are solving it with others
- you're _constantly_ in the gym so staff starts talking to you
It seemed to be a common AI style, so I was suspicious. Zoomed in on the laundromat window sign and it says “vioice”, so yea.
Looking at it again now, things like the electrical wires not being aligned, or going nowhere are always obvious tells. The outlines on the A in “laundromat” are okay but for some reason the vertical line on the R isn’t open.
It’s impressive that this can be generated with AI. I just wish it would come with a “generated with llm-name” label.
Alright, if I understand correctly, what you're saying is they make this distinction because they operate in the "text and code" space but not in the media space.
I've written _a lot_ of open source MIT licensed code, and I'm on the fence about that being part of the training data. I've published it as much for other people to use for learning purposes as I did for fun.
I also build and sell closed source commercial JavaScript packages, and more than likely those have ended up in the training data as well. Obviously without consent. So this is why I feel strong about making this separation between code and media, from my perspective it all has the same problem.
Right, that's what I'm thinking too (I'll update my statement a bit to make that more clear), but I constantly hear this perspective that it's all good for text and code but when it's media, then it's suddenly problematic. It's equally problematic for text and code.
> No AI-generated media is allowed (art, images, videos, audio, etc.). Text and code are the only acceptable AI-generated content, per the other rules in this policy.
I find this distinction between media and text/code so interesting. To me it sounds like they think "text and code" are free from the controversy surrounding AI-generated media.
But judging from how AI companies grabbed all the art, images, videos, and audio they could get their hands on to train their LLMs it's naive to think that they didn't do the same with text and code.
Recently a customer pasted a complete ChatGPT chat in the support system and then wrote “it doesn’t work” as subject. I kindly declined.
I’ve also received tickets where the code snippets contained API calls that I never added to the API. A real “am I crazy” situation where I started to doubt I added it and had to double check.
On top of that you get “may I get a refund” emails but expanded to four paragraphs by our friend Chat. It’s getting kinda ridiculous.
Overall it’s been a huge additional time drain.
I think it may be time to update the “what’s included in support” section of my softwares license agreement.