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.
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 to their models. If they have to start pretending they aren’t neural network anymore they will.
And if you DON’T rewrite, then you’re back to them actually being different again
This is a dumb take. You can use a more general term like large dataset generative machine learning. Legislation needs to understand the different risks between the different implementations to do any good.
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.
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.
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.
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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 to their models. If they have to start pretending they aren’t neural network anymore they will.
And if you DON’T rewrite, then you’re back to them actually being different again
https://infosec.pub/comment/23830616
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This is a dumb take. You can use a more general term like large dataset generative machine learning. Legislation needs to understand the different risks between the different implementations to do any good.
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?
https://www.genengnews.com/topics/artificial-intelligence/protein-language-model-hits-undruggable-targets-no-structure-required/
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.
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.
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.