God why do LLM comics look so fucking uncanny
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.
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.
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.
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?
Why are AI simps so fucking weird?
Wait, these things still can’t draw hands?
Or proper perspective
Or generate a face that is not a Ghibli cartoon. The faces are always the same.
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.
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.
But you’re not using it to cure cancer. You’re using it to make this stupid comic.
In a well-done hand-drawn comic, the background and the “props” will be consistent in all frames, as only the figures are drawn in afterwards.
Not with this prompt bro kissing the ground Muskrat walks on. He can go fuck himself.
The best marketing tool that this generation of scammers found is to call their chatbot “AI” and clump it together with all the other products of machine learning (which is also a word with connotations).
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!
Problem with AI is people are fing dumb 🤷♂️ Everybody and their grandma is piling up on the Aipocalypse bandwagon to pretend they care about the planet while also driving SUVs, over-consuming, voting pro-capitalism AND being religious. The hypocrisy is palpable. You can’t get an abortion in over half the world but “dAtaCenTErs and my AI wAIfU wiLl dO0m uS aLL”. Transkids are getting “restored to factory settings” by force in some states and old karens are still obsessed with that third bathroom option…
Its all a bad joke
excuse me but plastic grocery bags is actually a good thing if you reuse them as garbage bags net net better than buying garbage bags but you seem to think california charging the bag tax is good.
the same can be said of soda cans it is pointless to even bother now they dont even recycle them. cost wise it is negative value. main thing to do is consume less but the wealthy consume more and more the epstein class pimping it out with 10 women on their yacht saying they are better and protecting the planet.
more yachts more super cars more luxury mansions more celebrity worship more pretend poor people are the problem. more not consuming less. more complaining and gas lighting people eating protein meat are the problem.
the issue is really people consuming and being a show off and gas lighting. really the coupon user the one that reuses bags etc are the ones saving the planet NOT the EV over priced trash buyer. those that buy apple over priced junk etc are the problem
The trash can appears to say “Ideas Discovery Healthier Tomorrow”.
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!”
Google discontinued development of alphafold, broke up the team, let many go and transferred the rest to general LLM development except for some that were moved to their vertically integrated own pharmaceutical research (to cash in on the whole value chain and lock everyone else out of their tools).
Mind you, that is the tool that got people a Nobel Prize.
https://thenextweb.com/news/deepmind-alphafold-team-dismantled-gemini-anthropic
Now we see the tech being used for the whimsical and capricious, but also the potentially destructive, like that hacking incident.
Luckily there’s also OpenFold as an open-source alternative for protein folding (maybe also nucleic acids? I dunno)
There are numerous models available nowadays, even alphafold still is but Google took itself out of the game by letting it die due to lack of further development, focusing on its “be evil” company philosophy.
I’m convinced “Don’t be evil” was a canary.
It certainly was, and it didn’t take long for the canaries to start dying, which immediately alerted everyone that there was a possible canary-murderer on the loose within the organization, which they solved by following the canary-murderer’s instructions to pursue profit at any cost and using a tiny sliver of the budget for regularly buying more canaries.
letting it die due to lack of further development
You are incorrect. see above.
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Doesn’t work for mid-large proteins. AlphaFold now models using >50 post translational modifications and full size proteins.
Google discontinued development of alphafold
No they did not, it’s on version 3 and they just added >50 PTMs to modelling this month. Another version is being developed and sold to pharma on subscription on a large scale batch modelling platform.
broke up the team
The team continued on to other projects, including the commercial version mentioned above. There was no point in continuing when the development was just adding more features.
the tool that got people a Nobel Prize
2 people from Deepmind, Jumper and Hassabis, one person at U Wash , Baker, is still developing AlphaFold with Google and is a academic lab.
You put a lot of faith on one vague article.
You partially correct my statement but weirdly enough largely confirm it, just with a PR twist. “There was no point in continuing when the development was just adding more features.” But it is not, AlphaFold 3.0 is still far from perfect. We need more than just a few more added features. But the next big step will be either some closed thing, developed by a largely changed team, sold for a fortune as subscription model to pharma multis or be done by entirely different groups that have nothing to do with Google or Deepmind.
There is a reason why Hassabis is not working on it anymore and of course he will say it was all as it should be, given how he was moved upwards.
Giving LLMs credit for all machine learning is problematic
This is their go to motte-and-Bailey argument fallacy. Say something outlandish, get called out on it, retreat behind something more reasonable and how no one notices before sallying forth with unreasonable claims again.
Yeah machine learning for medical research has been around for a lot longer than LLMs. LLMs do not do medical research, they are just really expensive and fancy “next word” auto-correct generators.
I’d argue they made scentific research harder due to the many fake papers you can find online
that’s been a problem since 2005 at least (first time i did serious medical resesarch)
Isn’t it worse now? AI slop can be produced waaay faster
no? when you’re doing real research you limit your sources to “reliable” ones. being able to write fast has never been the obstacle to publishing bad research.
That’s been a problem since start of humanity
I remember way back when with the Folding at Home project. That’s a type of machine learning distributed. People happily contributed their computer time. Hell, there were contests around how much compute time a particular group could give.
I feel like anything involving electricity will be called AI fairly soon.
It makes steak taste better.
I cant believe how many people give strong opinions on generative ai when they cant even distinguish it from the much more general term machine learning
