an appearance that shattered a decades-old norm designed to insulate the department from political interference—a safeguard established in response to President Richard Nixon’s abuses of power.
So was it an actual law to be enforced or just a norm that can be “shattered” without consequence? How can it be a safeguard against abuse of power if it does nothing to stop this power abuser?
But licking oneself or others for the purpose of affection is still fine, right??
There’s one valid use-case for LLMs: when you have writer’s block, it can help to have something resembling an end product instead of a blank page. Sadly, this doesn’t really work for programming, because incorrect code is simply worse than no code at all. Every line of code is a potential bug and every line of incorrect code is a guaranteed bug.
I use an LLM with great success to write bad fanfiction though.
You can save time at the cost of headaches, or you can save headaches at the cost of time. You cannot save both time and headaches, you can at most defer the time and the headaches until the next time you have to touch the code, but the time doubles and the headaches triple.
Neither LLMs nor ICMs are AI in any sense of the word, is my point. LLMs happen to give the illusion of intelligence because of their language-based nature, but they’re not fundamentally different from ICMs.
Image classification model isn’t really “AI” the way it’s marketed right now. If Google used an image classification model to give you holiday recommendations or answer general questions, everyone would immediately recognize they use it wrong. But use a token prediction model for purposes totally unrelated to predicting the next token and people are like “ChatGPT is my friend who tells me what to put on pizza and there’s nothing strange about that”.
Any other newspaper should know better. The Washington Times doesn’t want to know better, because “I didn’t know” is a very convenient excuse when you publish Nazi shit every day.
Google Lens already did that though, all you need is decent OCR and an image classification model (which is a precursor to the current “AI” hype, but actually useful).
At least the left woman didn’t put thick black mascara on before she stepped in the tub, imagine the state of that water when her friend washes her face.
Edit: saying I’d be her, but as soon as mom is done taking the picture, I’m pushing my friend away so I can reach the faucet to fill that damn tub.
They look like they had a bath before this and didn’t really want to get wet again. Look at how little water there’s in that tub. And where’s the rubber ducky?
Blocked an ad that fucked up the css so dramatically that the checkout button is now permanently stuck at -10% of viewport.
I just reply to things that show up my feed honestly and pretty randomly
No one asked you to and in fact temp banned you for it, so try to read the room next time
Why the hell would you go on a book community, open a discussion post that is clearly asking for personal opinions and go “I dunno lol go ask chatgpt”. I would’ve banned you too tbqh.
Yeah, I’m just memeing. The first thought in my head when I read her name was “…and Zendaya?? Oh-ho damn…”
“I am based and I have good taste”
The babies were introduced as a plot device in Shrek the Third in 2007 and no one really cared about them. They returned in Shrek Forever After, this time as characters instead of stakes, but not many people were interested to see another Shrek movie after Shrek the Third. Forever After was kinda decent though, from what I remember. Compared to 3 at least.
You can find Friendship is Witchcraft on Youtube, it’s some of the best the fandom ever made. (Also, the show itself is pretty good, would recommend.)
Zendaya is a former Disney Channel star who is best known for voicing Shrek’s daughter Felicia in the recently released teaser for Shrek 5.
The total area of Greenland is 2.1 million km², but where other countries have usable land and maybe some lakes, Greenland has 1.7 million km² of ice. There’s some land under there, but much less than you might think:
The US has 9.1 million km² of actual land, so if we’re counting the ice, a quarter is about right.
Despite all her frustration with the language, she speaks it very well. And she’s totally right of course, Wikipedia even includes the demonym in the cheat sheet on every country page, just because no one ever knows them.