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will byers stan first human second
d e v o n
I'd rather be in outer space 🛸

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Xuebing Du

Love Begins

roma★
sheepfilms
Three Goblin Art
Game of Thrones Daily

祝日 / Permanent Vacation
AnasAbdin
noise dept.
"I'm Dorothy Gale from Kansas"
No title available
trying on a metaphor
TVSTRANGERTHINGS

Product Placement
occasionally subtle

❣ Chile in a Photography ❣
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@carne-vale
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wound dressings and bandages are lingerie for the enlightened pervert
Love gargoyles?
Be gargoyle ♥️
Ауф
Vorace by Pauline Mauvière & Charles Ouvrard
having unwashed hair will have you believing shit like i can’t be saved
it is a mystery
Discover strange new films with your friends!
devilman crybaby
iron deficiency gang rise up (not too fast)
when the yaoi has toxic overtones, manipulation, genuine abuse, gross crossing of normal boundaries and psychosexual obsession
[cw: gore]
I adore mermay, and thought to myself, now, what would make this an appropriately Frankenstein mermay?
clearly the depiction of a totally normal night in doing arts and crafts uwu
If you don't mind me asking, are there other types of AI you find okay? Or do you find all AI bad?
i don't find all AI bad, my capstone project was a neural network project. (it was for a bank robbery threat assessment)
genAI steals and regurgitates (basically bastardises) what it has been fed, that's why it's bad (+energy costs)
other AI—ones that are fed and trained on material for pattern recognition/tasks are fine and sometimes necessary.
there's various ways to categorize ai: capability (narrow, general, superintelligent), models (reactive, limited memory, theory of mind, self aware), types (machine learning, deep learning, neural networks)
a good example would be akinator. it's an AI, it has been trained on characters and it recognizes the character based on description. It doesn't create a new character by stealing other people's works.
another example would be biometric face scanners: they would convert the facial features into a digital maps and compare them to the ones in a database. they don't create anything new.
both these cases use machine learning algorithms to get the job done, in various degrees of complexity.
then we have neural networks, which id a system that's inspired by the human brain and is for complex/prediction tasks.
an example would be natural language processing- which is mostly used for translators
and then there's deep learning, which is also a type of machine learning and is the basis for generative ai. but deep learning doesn't equal to genAI. deep learning is also used for purposes like medical image analysis.
and when you take energy costs to compare— traditional neural networks for example—are generally smaller, task-specific, and require fewer parameters, reducing computational operations. genAI requires immense power to calculate, predict, and generate new content across vast, dense models, often consuming up to 100 times more energy per query.
Source: peer reviewed journal article
so not all ai is bad, i'd be a shit computer engineer if i said that. but you've got to learn what you're up against.
Pomefiore dorm. Illustration for twst zine
too perverted for the normies not perverted enough for the real perverts how am i supposed to make it in this crazy world
the moderate/neutral pervert
u tryna romanticize being the problem
i'm literally a tumblr user what did you expect
a tender heart