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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.
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…
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
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.
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
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.
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.
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.
Imagine how much of a fucking loser you’d have to be to waste the precious moments of your life asking a computer to make this for you.
I am pretty sure the “AI” systems making medicine aren’t the same as generative AI.
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.
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. 🤣
Their plagiarism machine can’t even consistently render that guy’s desk from panel to panel. Somebody’s going to trust it to make drugs?
Have you considered that the scientist maybe works for a good organization that can afford him 4 desks that look different?
I’m curious what purpose that clearly custom microscope has
The kind of crappy art generation is vastly different than the types of AI used in drug discovery.
In fact drug discovery is a pretty good problem for AI to help solving.
Yes, but the problem is that the techbros pushing crappy AI and text generation are doing so while disingenuously implying (or often outright stating) that their product is eventually going to revolutionize the world by also magically curing cancer or whatever the hell else if we provide them just one more datacenter, bro. Except that it categorically cannot.
Specialized machine learning tools are specialized tools for the specific clearly defined use cases for which they are designed and intended (edit). The commercial LLM and diffusion image generators, meanwhile, serve no beneficial purpose whatsoever other than burning electricity, spreading lies, and making people dumber.
I mean this is where we have to disagree, I think there are loads of benefits from the technologies. But capitalism is the wrong motivator… “How can we make money out of this?” don’t make me puke. It should be free for all, to cure cancer, to decipher ancient languages, to model the climate etc.
How the fuck is an ass kissing chatbot going to help you model the climate?
Not everything is a fucking chat bot.
“AI”, the way everybody uses it today, means “ass-kissing chatbot”. That’s what Jensen means, that’s what Satya means, that’s what the investors think it means, that’s what the people reading scripts on the news mean. Oh, excuse me, I meant to say “super intelligence”.
We have neural nets, machine learning, adaptive systems, automated translation, context completion, all kinds of terms for the stuff that actually does useful stuff.
That’s not what the trillion dollars is getting spent on
They aren’t using chatbots to do it. It’s almost a completely different technology.
Exactly. Things in advanced analtyics or ML or whatever are totally smeared over with a broad brush, they give everything the landlord special.
how much of a loser do you have to be to believe that AI (LLM) is generating cures for diseases?
In fact the AI bubble has dried up investment in the very same medical research that they think it’s revolutionising.
That’s like saying books will cure cancer if you just lwt them.
We don’t need vibe coded software or AI generated “art” and slop social media content to get to curing various forms of cancer or other diseases. No one would be upset about such a use. Instead it is being used to enable laziness, reduce our cognitive abilities, and further harm our environment while trying to make a quick buck and failing at that too.
Also AI is a general term and the models used in cancer research/detection are farther from generative LLMs than autocorrect.
Meanwhile AI Bros are reinventing “thinking” by imagining what an LLM might say to them.
Meanwhile AI Bros are reinventing “thinking”
jensen reinvented thinking by forgetting his address.
He only said that because he probably has too many houses to remember the addresses
Giving LLMs credit for all machine learning is problematic
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.
This shit can’t even keep a consistent background over 4 comic panels
when its actually useful, sure. great. complex algorithms solving problems is nothing new. its appreciated.
when you automate everything to the point that it will kill billions of people and destroy the planet. then it becomes every humans moral imperative to skin everyone responsible and hang their corpses from the street lights as a warning to others who plan on doing the same.
Exactly, for every cancer cure AI generates, it generates an incomprehensible ammount of shit, not just slop, but actively harmful content, like revisionist history, lies about science, oceans of exploitative media, terabytes of hallucinations, novells worth of psycological manipulative chats with vulnerable individuals, and more.
All of that while producing pollution that will increase the risk of cancer in the first place, completing the circle.
AI is a very broad field. LLMs are just one corner of it. Probably the most visible one.
And LLMs are what the tech oligarchs are pushing and what we are all talking about here, not any other kind. It is a disingenous attempt at deflection to pretend there is any discussion about other types of AIs.
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
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.
Pedant here, cancer is not a disease, it’s an umbrella term covering many types of diseases related to unregulated cell growth. There never will be a “cure for cancer”. There will never be a “cure for breast cancer” because there are different origins of breast cancer. We may find a cure for specific types of cancers, and each of those should be celebrated.
“I did it”
“I finally did it!”
“I found the cure for viruses!”
Lava cures viruses
What was the line from XKCD? “When you read a study finds something is x effective at killing cancer cells in a petri dish, remember: so does a hand gun.”
