Imagine making that avd getting reduced to “ai designed” lol
AI-designed makes it sound like an LLM came up with an idea. If you follow the links you’ll get to the paper where you can see the list of authors who are doing protein design.
I suppose protein design does use generative AI algorithms, but it’s not thinking or coming up with anything. It’s mostly just getting the atom positions more correct. In fact this one was super heavily restricted and still filtered a ton of garbage out. Frankly, it’s not even impressive as protein design goes as it’s barely a new protein. Maybe the predicting future variants is sorta impressive, but we’ve been doing that for years now.
Honestly, I wonder how the first author feels about this. I can’t speak for them, but as someone who does protein design, if some journalist attributed my work to AI, I’d have a conniption fit.
Yeah, Protein design is absurdly complicated and time consuming. Collaborative computing programs like folding at home have helped a lot but its still like trying to find a grain of sand in a desert. Having a well tuned AI help narrow down what needs additional attention via other computer models or even moving past computer models is a reasonable use of a well tuned specific AI. Not these general purpose LLMs that just tell you what you want to hear.
It’s not gen ai. It’s ai in the more traditional sense
I’m anti AI but i have to give it to the technology, for once, it’s used for something good and for a task no one wanted to manually do, with incredible results
Until the sector is regulated i’ll just say this never happened
Technically this probably isn’t AI but rather ML (machine learning) which is something that made great strides in science already in the past decade or so. E.g. alphafold, a program to predict folding of protein sequences predates all LLM crap and has become a cornerstone of anything protein expression.
Nah, Alphafold came out at about the same time (actually a little after) AI image generation. They all came out together because the same hand full of people were working on them. They’re also all very similar algorithms; though, I don’t know where you want to draw the line between AI and machine learning – those are just two terms for the same thing to me.
So when I talk about LLM, I mean in first line ChatGPT since it was the big event bringing LLMs to the public.
Alphafolds first version came out in 2018, ChatGPT was only released in 2022. I don’t know where AI image generation comes into this, but that wasn’t my point anyway.
Will anti vaxxers find AI formulated vaccines more or less abhorrent?
They don’t know yet, they haven’t been told what to feel.
Safe with no side effects does not mean that it works. A glass of water is safe with no side effects.
I’m all for machine learning used this way. As long as the trials are as stringent as with any other method.
“We’ve converted vaccine development from being reactive to being future proof. Our vaccines will continue to provide protection against viruses even as they mutate into new strains,” said Professor Jonathan Heeney from the Lab of Viral Zoonotics, University of Cambridge’s Department of Veterinary Medicine, the scientific lead of the research.
“We’ve overcome the problem of traditional vaccines, which have limited protection. It means we can escape the constant cycle of chasing the virus variants circulating in humans and updating the vaccines to try to catch up, like a dog chasing its tail.”
Oh, right. The vaccine. The vaccine for COVID. The vaccine chosen specifically to kill COVID. COVID’s vaccine. That vaccine?
No, because Vaccines don’t kill Covid. Vaccines teach your immune system to respond better and on the whole have better outcomes. If vaccines killed Covid, then they would give a shot to everyone with Long Covid and cure them.
Universal coronavirus vaccine, a vaccine against everything would induce all sorts of autoimmune disorders.
There’s another universal kind-of-vaccine in development, which doesn’t tell your body what to recognize but instead tells your body how to react (primes the immune system to respond faster to respiratory infections with localized antibodies, etc)
Note that AI has been a cornerstone in high dimensional optimization for a while.
Useful case of AI. 👏
It’s a jet injector.
Numerous studies have found cross-infection of diseases from jet injections. An experiment using mice, published in 1985, showed that jet injectors would frequently transmit the viral infection lactate dehydrogenase elevating virus (LDV) from one mouse to another.[16] Another study used the device on a calf, then tested the fluid remaining in the injector for blood. Every injector they tested had detectable blood in a quantity sufficient to pass on a virus such as hepatitis B.[15]
The original press release stated this was done using machine learning, which has been a mainstay in biomedical science for a while. It’s what “AI” used to refer to before the current generation of bullshit generators.
Yes, but from what I understand traditional machine learning is more about introspective pattern recognition and not necessarily inference-based synthesis?
it’s the stringent verification of results that makes it useful
That’s true for all research in medicine. The suggestion to not check for errors is mental and would only be suggested by non technical people.
unfortunately, this how most companies are run
I am sorry, but did you read that I was talking about medicine first and foremost?
Also using evidence based approaches can be beneficial for longevity of any company and if you truly believe otherwise, then that’s your perogative.
