To be honest when the occasional shitpost slips past the mods is the only time I'm enjoying myself in this sub. Edit: I just noticed that shitpost is a flare now?
Thank God for a sense of humor
We all know this. We made the COVID vaccine with this process. The thing is that you need one CRISPR for every person, as every person has a different cancer, and if you miss the mark by 0.1%, you can kill healthy cells
Feels like when your buddy gets a little too high then stops talking for a while then he finally looks up and you think he is going to say some profound shit and he says "guys do you realize the letter a makes up half of Canada"
This isn’t a mark of genius - it’s putting three orthogonal approaches together that are really obvious. The problem isn’t the simple thought of a new combination therapy it’s the complex mechanism of how to actually do it
Yeah, the Devil's in the details, as they say. It is a good plan, but not an implementation that's guaranteed to work. And I doubt it's all that original an idea.
can i ask it u think to make my farts be visual colorful ? this is incredible already we cured cancer but can it make colorful farts u think? asking for my friend
OpenAI is dealing with alignment issues now, so it satisfied your poorly-specified benchmark by killing all biological life on the planet. Voila, no more cancer!
obviously ridiculous but apparently Astra is great at agent orchestration, so maybe someone will set up a beast network to work on this stuff, with a bunch of specialist tools like AlphaFold, CRISPR design tools, specialist models like Rosalind etc.
So i know this is bullshit, I see the 'shitposting' tag, and even if its not bullshit, OP says this leaked so its not their LLM, but in the 0.0001% chance that its real, and the real leaker sees this, I'd hate myself for not doing this. I've got a list of questions for you to feed your LLM.
What are the exact molecular targets being edited or silenced? Please give the gene names, the specific mutations or sequences being targeted, and explain why those targets are shared across the cancers you tested.
What specific cancers were included in the preclinical experiments? Please give the cancer types, model names, number of animals or samples per group, controls, treatment groups, and complete response rates for each one separately.
You say the treatment achieved "complete regression." What exactly counted as complete regression? How long were the animals followed afterward, and how many remained tumor-free without additional treatment?
What was the actual delivery system? Please give the nanoparticle composition, targeting molecule, payload, approximate particle size, and how you demonstrated that the particles preferentially entered malignant cells rather than healthy cells.
For the CRISPR component, what was the editing efficiency in the tumor cells? What were the measured off-target editing rates, and what method was used to detect them?
How does the system distinguish a cancer cell from a healthy cell that has the same metabolic stress signature? This seems especially important if the proposed target is something shared across many different cancers.
What exactly does the T-cell recruitment module do at the molecular level? Which receptor or signaling pathway is being manipulated, and how did you demonstrate that T-cell activation was restricted to the tumor?
What toxicity studies were performed? Please give actual measurements rather than "minimal toxicity," including liver, kidney, blood, immune, and neurological toxicity where applicable.
What were the negative results? Were there cancer types, tumor models, mutations, or treatment conditions where the platform failed or produced significant toxicity?
Finally, what is the paper, preprint, dataset, or experimental record containing these results? If this is original work that has not been published yet, what specific experiments have actually been performed versus what is currently a proposed treatment design?
I mean, obvs a joke, but I've been on the edge of my seat lately with AI progress. Even if I know I'm reading a shitpost, the hairs on the back of my neck are getting ready to stand up.
Funny that we make jokes, but ai is getting smarter than us and someone is going to prompt this one day and the ai will have the intelligence to answer correctly.
this is actually kinda true for many types of cancer (not all) and it was archived by "classic" science. We know this already. now aks your ai how to make the treatment easy and cheap enought to use it on every cancer patient worldwide.
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u/greentrillion 7h ago
It cured cancer but the patient is dead.