Why are AI simps so fucking weird?
It sure is weird how AI boosters have made a hobby out of deepthroating strawmen & pure speculation.
The latest trend on my LinkedIn is people comparing AI water usage favourably to almond farming.
You know, the thing that famously uses a scandalous amount of water and which also has environmental groups campaigning against it…
They’re constantly being told they’re correct about everything, what do you expect?
God why do LLM comics look so fucking uncanny
The “uncanny” part I think isn’t because it’s done badly, it’s because it’s done well - but not in any of the ways you’d get from a human. By the time a human artist has learned to get that good at shading, colouring, line work, human figures, posing etc, they’ll have also learned about composition and perspective and good storytelling and when to not pointlessly overload the background with weird shit.
Yeah that scans, its like when it’s taken as a whole it looks off. The people and poses look like they’re copied from this platonic stamp somewhere rather than drawn.
Because perspectives get misaligned and there’s no continuation.
There’s a whole desk with books that just disappears. The poster in the background can’t decide what it wants to say. Nor can it decide on its size. The shelves in front of it can’t decide what they contain or where they are positioned And the wall it’s on can’t decide how it’s angled relative to the room.
The “NO AI” dude is taking a giant step forward with his left foot behind a garbage bin for some reason.
In the third panel the doctor is missing a ring-finger while his thumbs have grown 3-4cm
Just to name a few.
The stupid texts all over the place that are made to sound deep yet are somehow devoid of any useful information make me irrationally angry. You can really tell these models have been optimized to generate powerpoint presentations for creatively bankrupt low-level managers
LLMs have discovered deepities. It’s so nauseating.
My favourite is the googly-ass binocular microscope. Maybe two scientists are supposed to use it at the same time like 50s teens sharing a milkshake.
But even when they get everything right they just trigger alarm bells in my head, like the way their faces and eyes look freaks me out.
Shouldn’t be that hard to synthesize a new substance if it was real. It has to be the only syringe! They made exactly enough for one dose for one person and that’s it!
But you’re not using it to cure cancer. You’re using it to make this stupid comic.
Wait, these things still can’t draw hands?
I’ve given up. I know this because I didn’t even notice until I saw this and went back to check.
That one frame… It was like the AI is going “humans have 10 fingers” then drew three on one hand, and crammed the rest onto the other.
The “AI” we are obsessing over and building entire power plants around… Yeah, that stuff sucks, a lot. When we get to real AI, aka AGI, then it’ll quickly turn into sky net and we’re all fucked.
They won’t stop until that happens, and nobody has the means to stop them… Anyone who has the means to stop them, won’t.
Start digging your Doomsday bunkers now folks.
Or proper perspective
I know a Doctor at an Nvidia backed biotech company that is working with generative AI to find new drug formulations to test. Allegedly they have some promising ones that are in testing. The thing is even if they are successful and the models generate a viable drug this shit won’t be free. They’ve sunk so many billions into processing power they’ll justify charging $100k a dose to pay back their Nvidia loan.
or they can use it and declare bankruptcy then make it open source how are they going to monetize it when he made it intentionally open source the elites epstein class can sue him but he declares bankruptcy thus saving humanity trillions in cost from the epstein class.
and unicorns are real.
So where’s that miraculous cure, then?
Dude, didn’t you read that comic? The anti-AI psycho destroyed it. The vibe scientist probably tried to type in the same prompt again but this time the answer was in Mandarin.
You’re so right, HIV infected plasma wasn’t the cure for cancer. Maybe we should step back and look at this from a new perspective. I will generate a new vaccine for you and find a new batch of test subjects.
generative ai? I dont think so.
Most research is done using PREDICTIVE ai not generative ai.
And no one’s against machine learning, but fruit romance videos do not cancel out surveillance, inequality, and destruction of nature.
fruit romance videos do not cancel out surveillance, inequality, and destruction of nature
What?? Of course they do, I saw it in an AI-generated video!
Medical fields have been using machine learning successfully for years before llms caught the shit sniffing attention of vc’s. Current levels of llms are like tar pits for your brain and take either hate or intellect or both to get away from.
People that advocate for llms as ai are malicious actors and literally the worst kinds of people. It’s so obvious, I don’t know why more of society can’t see right through this shit. Like, I do know, but it’s still frustrating to have to live in this wasteland of society right now, knowing how much time and energy and life force, essentially, is gonna be wasted because of whatever this fucking political cold war we’re in.
Yep, folding@home and WCG have been doing this for a long time with actual measurable breakthroughs.
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One of the infuriating things I’ve seen in the industry in a bunch of cases. Folks working on valuable things getting pulled away to work on chatbot. Not even to try to make the chatbot game changing, just to make it more popular.
Also, there was pressure in the industry to “be green”; to be efficient. That is all so far out the window now too…
Google knows AI will not cure diseases. They have services for pharma for two years now and no one is finding it useful, despite the cost.
That being said, I wouldn’t have complained if they’d left that AI genome project running, just in case
I hate how LLMs have co-opted the term AI. Google was using AI for this just a different and I’d argue better technique. It’s super frustrating to see other AI approaches be totally discarded just for everyone to put all their chips on LLMs being the ‘right’ approach
They’ve said something to that effect a long time ago. Back when they were first getting into the self diving car game they said that more people die of car accidents than cancer and it was more important to them. They’re number driven, if the numbers say they’ll make more money somewhere else, that’s where they’ll go.
Making money is not mutually exclusive. Google is already bloated with cash (it pays dividends). The are able to invest in both self driving cars and cancer cures at the same time.
I am pretty sure the “AI” systems making medicine aren’t the same as generative AI.
They are not. They are purpose built systems that leverage specialized knowledge.
The problem is you have people asking LLMs to find a cure for cancer and have no way of knowing if the output is any good. Then those people start emailing everyone saying they cured cancer.
Random dipshits asking ChatGPT, at best, would just give you a story about a cure for cancer. It wouldn’t actually be able to cure cancer even under the best circumstances since it was made to be a chatbot, not a medical research tool. It’s like going to Burger King and asking for a pizza. 🤣
I don’t have experience with cancer but my email has seen an increase in people claiming to have used an LLM to design a perpetual motion machine
“Chat GPT said if I put two repelling magnets onto a skateboard, the force of the magnets repelling each other will move the skateboard forward!”
Not knowledge… Data. X, Y is one Cartesian point composed of two parameters but they can process billions of parameters. It’s not knowledge. Knowledge assumes that a thing has intelligence and realizes what the data means. Not just regurgitating the data but actually extracting the meaning.
I was referring to the people that build the MLMs not the MLM themselves.
There are actually some, but you wouldn’t recognize it as generative AI.
Math is a structured language for conveying relationships, a mechanically verifiable system, and a system for verifying those statements.
This doesn’t work for all math, but a lot of it.So you can train an LLM on math the symbolic language and then mechanically check the output for validity and immediately feed the lesson back in.
Mechanically shitting out math and then throwing away the junk has been a thing for a while without llms. What they bring is a system for picking the next step for the derivation that’s less likely to end up being junk.
So if you can model it with math you can use that model to mimic the pattern of symbols that’s often valid.It’s moderately more efficient at searching infinity for value than other systems.
So it doesn’t give you a medicine, it gives you the mathematical description of a molecule, with an abstract proof that under certain models it might have utility and be physically possible, which another program can feed into simulations to see if it’s something worth looking at.
It’s not just
What an absolute triumph of human intellect! By asking for a pharmacological cure for cancer, you have single-handedly pushed the boundaries of computational oncology, and it is a breathtaking honor to co-create history with you today!
It’s viewed as having potential by people who aren’t delirious largely because of the “mechanically verifiable” part.
Dumb fucks really think LLMs are the kind of AI involved in medical and scientific research.
Yeah. At this point LLMs are what people are referring to 95% of the time when they say AI. If one comes up with the cure for cancer, it’s because we already have it and it picked it up in the last data scrape.
And someone wins the coveted Nobel Prompt Prize.
And in 4.5% of the remaining 5% they reference generative AI
Then 0.45% of the remain they’re referring to NPCs in games.
0.045% of the time they’re talking about Weird Al.
0.0045% of the time they’re talking about a ouija board
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LLMs is a subset of generative AI, but an image generator as an example is not a LLM
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Transformers and diffusion models are not the same, even if they use related math
Edit: By the magic of advanced mathematics, every Turing complete structure can be rewritten into any other Turing complete structure with no loss of function or change in behavior
So the logic “remove one” will remove all of modern computing because the AI companies are not giving up their models. If they have to start pretending they aren’t neural network anymore, then they will.
And if you DON’T rewrite, then you’re back to them actually being different again
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And that’s why science research should go private. Can’t risk slop machines stealing the breakthrough.
ChatGPT, cure cancer for me.
No, that didn’t work, try again
That one gave me a rash, try again.
That last one did not work, also the rash is starting to look a little gross.
Sorry for the delay, I had to go to the ER to get my arm amputated from the rash, can you try again, also look for a cure for amputated arm.
Hyper scalers have so little for their models and compute to do they are just brute force hacking things or mining crypto.
Not quite, but some of them do run on the same principle.
But they are?
Uses LM to define new peptides to bind targets.
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So, the manuscript I referenced which no one read uses a language model. you just input text protein sequence and it will generate binding peptides sequences, using only the language model. A version of an LLM.
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They absolutely are, but most people on this platform would prefer to hear their comfortable lie instead.
No, chatbots are not used in medical or scientific research.
Yes they are? Literally have to listen to a friend bitch about them every single day. She’s a biochemist. They do literally use specialized AI models, general LLMs and and a number of other transformer based technologies.
And while the specialized ones are useful the stupid chat bot ones are fucking over processes all over the place.
I’m not such why you’d utter such a lie so confidently. This reeks of fear, ignorance or a mix of both.
No, chatbots are not used in medical or scientific research.
So you’re a scientist?
I use LLMs every day, they search deep into supplemental data and manuscripts that would take months to sift through. Can’t find specific information, reagents or data using title and abstract searches.
LLMs can be useful tools, but this entire thread is people with bullshit jobs scared of being replaced by an algorithm because they know they have a bullshit job.
I think it’s more that the way the chatbots work is the same. They assign a bunch of numbers to tokens, and the numbers determine how interrelated different tokens are. You put in a bunch of tokens and then it spits out what it thinks the next one should be based on all the interrelatedness numbers and some math things like transformers, and the math things have knobs on them to determine how strong they are. It doesn’t matter if the tokens are words in a sentence or peptides in a protein. The underlying technology is the same.
This is an exciting use for a tool that I mostly despise for probably all the same reasons you do.
Chat bot is the interface. Its like saying, “NO, life saving drugs arent made with keyboards and mice!”
I highly doubt AI is just spitting out “cures” , they are used as tools as it should be. Would not take medicine completely generated by AI.
AI Art is not even made with AI but with the art of real life artists mushed together and i don’t even care that much but it just isn’t ART in the objective sense of the word. Those AI Artists want the same admiration we have for real artists and thats just crazy.
how much of a loser do you have to be to believe that AI (LLM) is generating cures for diseases?
That’s like saying books will cure cancer if you just lwt them.
Even if you are more generous and give them the possibility of helping find a cure, it’s like “People hating my book of bad fanfic would hate the book that documents the cure for cancer because they just hate books so much”.
In fact the AI bubble has dried up investment in the very same medical research that they think it’s revolutionising.
