This can be easily solved by just going to a different tile and bumm, new possibilities. (I save scum)

Good luck in trying to make a non-AMD or non-Intel x86 CPU. Maybe the chinese will find success in 10 years.

I love going through snow with my car. It’s fun. Don’t worry, I’m not going fast but it’s soooo exhalarating to drift on an empty plains

c/dadjokes type ahh post

(No hate, I loved this post, keep it in here :3)

Ah yes, truly a tech related comment

Atleast it’s a 3rd contender, but afaik the Arc series had a decent enough pricing, although AMD’s prices seemed better, but not sure

This only happened because the line went down suddenly

It’s not in english (page translation), but Ukraine also uses AI drones where these are apparently made by an US company.

https://telex.hu/kulfold/2026/01/26/ukrajna-mesterseges-intelligencia-dron-haboru-fegyverek

They will populate the basic sites with bots to garner some “content” just like Reddit did in its early days

It seems my next GPU will be an used AI gpu after everything crashes

Wasn’t he always suspicious of being a pedo even when he was still alive? Idk I only watched South Park

My friends and me in the family plan switched from Spotify to Tidal, but due to lack of japanese songs + vocaloid, we have hopped on Deezer instead.

Don’t do it OP.

Give me your RAM beforehand pls /s

There are pirated udemy courses on 1337x for example

This sounds good, however the first step should be a 100% working solution without any false positives, because that would mean the reader would wipe their whole system down in this example.

Apparently there are 2 popular scripts.

Glaze: https://glaze.cs.uchicago.edu/downloads.html

Nightshade: https://nightshade.cs.uchicago.edu/downloads.html

Unfortunately neither of them support Linux yet

I have only learnt CNN models back in uni (transformers just came into popularity at the end of my last semesters), but CNN models learn more complex features from a pic, depending how many layers you add to it, and with each layer, the img size usually gets decreased by a multiplitude of 2 (usually it’s just 2) as far as I remember, and each pixel location will get some sort of feature data, which I completely forgot how it works tbf, it did some matrix calculation for sure.

Fair enough on the technicality issues, but you get my point. I think just some art poisoing could maybe help decrease the image generation quality if the data scientist dudes do not figure out a way to preemptively filter out the poisoned images (which seem possible to accomplish ig) before training CNN, Transformer or other types of image gen AI models.

There are poisoning scripts for images, where some random pixels have totally nonsensical / erratic colors, which we won’t really notice at all, however this would wreck the LLM into shambles.

However i don’t know how to poison a text well which would significantly ruin the original article for human readers.

Ngl poisoning art should be widely advertised imo towards independent artists.

Idunno, but in terms of Lenovo just stay with the thinkpads.

I know it’s an anecdotal evidence, but my friend bought a Lenovo Ideapad (or some other non-thinkpad), where the motherboard just died (he couldn’t boot at all) so it was replaced under warranty. Just before the end of warranty, the same issue arisen so it was replaced again, and I kid you not this new motherboard died AGAIN.