#Machine learning.
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#I'm serious stop doing it#theyre scraping fanfics and other authors writing#'oh but i wanna rp with my favs' then learn to write#studios wanna use ai to put writers AND artists out of business stop feeding the fucking machine!!!!
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AI hasn't improved in 18 months. It's likely that this is it. There is currently no evidence the capabilities of ChatGPT will ever improve. It's time for AI companies to put up or shut up.
I'm just re-iterating this excellent post from Ed Zitron, but it's not left my head since I read it and I want to share it. I'm also taking some talking points from Ed's other posts. So basically:
We keep hearing AI is going to get better and better, but these promises seem to be coming from a mix of companies engaging in wild speculation and lying.
Chatgpt, the industry leading large language model, has not materially improved in 18 months. For something that claims to be getting exponentially better, it sure is the same shit.
Hallucinations appear to be an inherent aspect of the technology. Since it's based on statistics and ai doesn't know anything, it can never know what is true. How could I possibly trust it to get any real work done if I can't rely on it's output? If I have to fact check everything it says I might as well do the work myself.
For "real" ai that does know what is true to exist, it would require us to discover new concepts in psychology, math, and computing, which open ai is not working on, and seemingly no other ai companies are either.
Open ai has already seemingly slurped up all the data from the open web already. Chatgpt 5 would take 5x more training data than chatgpt 4 to train. Where is this data coming from, exactly?
Since improvement appears to have ground to a halt, what if this is it? What if Chatgpt 4 is as good as LLMs can ever be? What use is it?
As Jim Covello, a leading semiconductor analyst at Goldman Sachs said (on page 10, and that's big finance so you know they only care about money): if tech companies are spending a trillion dollars to build up the infrastructure to support ai, what trillion dollar problem is it meant to solve? AI companies have a unique talent for burning venture capital and it's unclear if Open AI will be able to survive more than a few years unless everyone suddenly adopts it all at once. (Hey, didn't crypto and the metaverse also require spontaneous mass adoption to make sense?)
There is no problem that current ai is a solution to. Consumer tech is basically solved, normal people don't need more tech than a laptop and a smartphone. Big tech have run out of innovations, and they are desperately looking for the next thing to sell. It happened with the metaverse and it's happening again.
In summary:
Ai hasn't materially improved since the launch of Chatgpt4, which wasn't that big of an upgrade to 3.
There is currently no technological roadmap for ai to become better than it is. (As Jim Covello said on the Goldman Sachs report, the evolution of smartphones was openly planned years ahead of time.) The current problems are inherent to the current technology and nobody has indicated there is any way to solve them in the pipeline. We have likely reached the limits of what LLMs can do, and they still can't do much.
Don't believe AI companies when they say things are going to improve from where they are now before they provide evidence. It's time for the AI shills to put up, or shut up.
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This came to me in a vision
#tadc#the amazing digital circus#tadc pomni#tadc caine#caine#pomni#showtime#caine x pomni#pomni x caine#tadc showtime#showtime ship#tadc fanart#tadc comic#Animation takes forever; have this thing in the meantime#Sometimes. I need them to be soft. It heals the soul#Supervised Machine Learning#sort of#long post#my art
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tsum events really are just the best, huh
#art#twisted wonderland#twisted wonderland spoilers#tsumsted wonderland#to be fair this is from mal's card story so it's more...event-adjacent#i-it still counts right#poor malleus tsum is having such a time#first it blows up the kitchen and then it almost gets spin-cycle'd to tsum-death#the poor little guy just wanted to help with the party! it was trying its BEST 😭#and instead it accidentally recreated every other tuesday from my college days#i am so genuinely delighted to read two entire chapters of malleus bragging about knowing how to use household appliances#(he knows what he's doing! he READ the MANUAL)#(you know that manual has copious notes covering the margins in perfect copperplate)#and the callback to his dorm ssr story. perfect.#we all knew this was going to end in malleus punching a washing machine into smithereens#i'm disappointed that the next part is probably just going to be a fun party or whatever#and not malleus showing off how close he is to finally mastering the toaster#twst please where is my spinoff game where we have to help a dragon fae prince learn how to do household tasks#i have an indescribable need to see malleus attempt to use a vacuum#he is very enthusiastic and also very stupid and we love him for it
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Follower Kallamar Plushie I made some months ago but never posted😓
I might change his bandages to kelp so he’s not permanently bleeding
I got sick today, and rn I’m just cuddling with him. What a squid, favorite guy. Shoutout to him.
#Favorite Bishop frfr#Was too stubborn to learn how to use the sewing machine so I hand sewed him#Belugh#sicky#kallamar#cotl bishops#cult of the lamb#Plushie#fanmade plushie#follower kallamar#Bishop Kallamar#cotl#cotl kallamar#cult of the lamb kallamar#I took this picture of him and it turned out so cute
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"Publishers accused the nonprofit of infringing copyrights in 127 books from authors like Malcolm Gladwell, C.S. Lewis, Toni Morrison, J.D. Salinger and Elie Wiesel, by making the books freely available through its Free Digital Library.
The archive, which hosts more than 3.2 million copies of copyrighted books on its website, contended that the library was transformative because it made lending more convenient and served the public interest by promoting "access to knowledge.""
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#destiel meme news#destiel meme#news#united states#us news#world news#internet archive#copyright#copyright law#copyright infringement#bookblr#protect access to knowledge#wayback machine#learning is a right#hachette v internet archive#hachette book group#penguin random house#harpercollins#wiley#open library#national emergency library#fair use#controlled digital lending
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[Image description: A series of posts from Jason Lefkowitz @[email protected] dated Dec 08, 2022, 04:33, reading:
It's good that our finest minds have focused on automating writing and making art, two things human beings do simply because it brings them joy. Meanwhile tens of thousands of people risk their lives every day breaking down ships, a task that nobody is in a particular hurry to automate because those lives are considered cheap https://www.dw.com/en/shipbreaking-recycling-a-ship-is-always-dangerous/a-18155491 (Headline: 'Recycling a ship is always dangerous.' on Deutsche Welle) A world where computers write and make art while human beings break their backs cleaning up toxic messes is the exact opposite of the world I thought I was signing up for when I got into programming
/end image description]
#artificial intelligence#computers#programming#technology#Jason Lefkowitz#Mastodon#labor#transcription#capitalism#corporations#exploitation#class struggle#creativity#humans#safety#survival#vehicles#recycling#generative images#machine learning
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I once had ChatGPT insist that a particular composer wrote music for a game, even going so far as to list particular songs from the soundtrack that they were supposedly responsible for, and it helpfully provided hallucinatory citations when I asked for them (a broken link on the game publisher's website and a link to Wikipedia, which did not in fact support its assertion either now or at any point in the article's history). Nor could I find anywhere else on the internet where someone even mistakenly believed that that composer had worked on the game. ChatGPT lies not because it's regurgitating falsehoods that it found on the internet - it lies because it invents new falsehoods on its own. It's not just trained on stuff on the internet that's wrong; it's trained to be confidently wrong in general. It doesn't know what facts are, it just knows how to produce things that are shaped like facts and shove them in fact-shaped holes. I personally wasted 30 minutes of my life fact-checking/"not believing everything it says", when it confidently told me something surprising. My horizons were not broadened by exposing me to "different worldviews". This was unequivocally a negative experience for me.
comment on a MetaFilter post about AI: "My goal is to be helpful, harmless, and honest."
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This the where my family stay right now they are staying in a school without any kind of privacy or any comfortable accommodation.kindly asking your help small things can help us in this situation
#free gaza#free palestine#gaza#gaza genocide#gaza strip#genocide#palestine#machine learning#save rafah#linux
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the hatred for anything labeled as “AI” is truly fucking insane 😭 just saw someone berating spotify’s “AI generated playlists” you mean the fucking recommendations? the fucking algorithm? the same brand of algorithm that recommends you new youtube videos or nextlfix shows or for you page tweets? the “you might like this” feature? that fucking AI generation?
#icarus speaks#neg#ITS JUST A BUZZWORD#IT MEANS NOTTHINNGGG#it’s just coding. it’s machine learning it’s algorithms it’s not fucking anything new#this has existed since forever GET OVER URSELF
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Frank Rosenblatt, often cited as the Father of Machine Learning, photographed in 1960 alongside his most-notable invention: the Mark I Perceptron machine — a hardware implementation for the perceptron algorithm, the earliest example of an artificial neural network, est. 1943.
#frank rosenblatt#tech history#machine learning#neural network#artificial intelligence#AI#perceptron#60s#black and white#monochrome#technology#u
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There is no such thing as AI.
How to help the non technical and less online people in your life navigate the latest techbro grift.
I've seen other people say stuff to this effect but it's worth reiterating. Today in class, my professor was talking about a news article where a celebrity's likeness was used in an ai image without their permission. Then she mentioned a guest lecture about how AI is going to help finance professionals. Then I pointed out, those two things aren't really related.
The term AI is being used to obfuscate details about multiple semi-related technologies.
Traditionally in sci-fi, AI means artificial general intelligence like Data from star trek, or the terminator. This, I shouldn't need to say, doesn't exist. Techbros use the term AI to trick investors into funding their projects. It's largely a grift.
What is the term AI being used to obfuscate?
If you want to help the less online and less tech literate people in your life navigate the hype around AI, the best way to do it is to encourage them to change their language around AI topics.
By calling these technologies what they really are, and encouraging the people around us to know the real names, we can help lift the veil, kill the hype, and keep people safe from scams. Here are some starting points, which I am just pulling from Wikipedia. I'd highly encourage you to do your own research.
Machine learning (ML): is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines "discover" their "own" algorithms, without needing to be explicitly told what to do by any human-developed algorithms. (This is the basis of most technologically people call AI)
Language model: (LM or LLM) is a probabilistic model of a natural language that can generate probabilities of a series of words, based on text corpora in one or multiple languages it was trained on. (This would be your ChatGPT.)
Generative adversarial network (GAN): is a class of machine learning framework and a prominent framework for approaching generative AI. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. (This is the source of some AI images and deepfakes.)
Diffusion Models: Models that generate the probability distribution of a given dataset. In image generation, a neural network is trained to denoise images with added gaussian noise by learning to remove the noise. After the training is complete, it can then be used for image generation by starting with a random noise image and denoise that. (This is the more common technology behind AI images, including Dall-E and Stable Diffusion. I added this one to the post after as it was brought to my attention it is now more common than GANs.)
I know these terms are more technical, but they are also more accurate, and they can easily be explained in a way non-technical people can understand. The grifters are using language to give this technology its power, so we can use language to take it's power away and let people see it for what it really is.
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why neuroscience is cool
space & the brain are like the two final frontiers
we know just enough to know we know nothing
there are radically new theories all. the. time. and even just in my research assistant work i've been able to meet with, talk to, and work with the people making them
it's such a philosophical science
potential to do a lot of good in fighting neurological diseases
things like BCI (brain computer interface) and OI (organoid intelligence) are soooooo new and anyone's game - motivation to study hard and be successful so i can take back my field from elon musk
machine learning is going to rapidly increase neuroscience progress i promise you. we get so caught up in AI stealing jobs but yes please steal my job of manually analyzing fMRI scans please i would much prefer to work on the science PLUS computational simulations will soon >>> animal testing to make all drug testing safer and more ethical !! we love ethical AI <3
collab with...everyone under the sun - psychologists, philosophers, ethicists, physicists, molecular biologists, chemists, drug development, machine learning, traditional computing, business, history, education, literally try to name a field we don't work with
it's the brain eeeeee
#my motivation to study so i can be a cool neuroscientist#science#women in stem#academia#stem#stemblr#studyblr#neuroscience#stem romanticism#brain#psychology#machine learning#AI#brain computer interface#organoid intelligence#motivation#positivity#science positivity#cogsci#cognitive science
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one of my last fake skin practices before they set me loose on my own flesh >:))
i also did some beautiful stippling on the web but i forgot to take a photo so you just have to trust that i did it
#ramble#tattoo apprentice things#this was the first one i did where i was like 'if this went on my skin exactly the way it is i would be pretty happy with it'#my lines still aren't as solid as i want but the fake skin is just to learn to use the machine#there's only so far you can go i think bc it just Isn't real skin#i'm VERY happy to tattoo myself i'm actually really excited#i'm about to get humbled really fast akdfhdfh
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