I have many thoughts… no-mouth-must-scream

  • BodyBySisyphus [he/him]@hexbear.net
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    10 days ago

    phiX174 is an extensively studied and well understood virus, and only has around 5,400 base pairs and 11 genes, according to Nature.

    After probing the AI model, the team came up with 302 virus designs. The best way to test them, the researchers figured, was to print, or chemically assemble, all of them and unleash them on real strains of E. Coli.

    As it turned out, some of them worked. Once inserted into the poor waiting germs, 16 of the AI-designed viruses successfully infected their hosts by inserting their DNA, hijacking the bacteria to start cranking out copies of themselves, and then burst through the cell’s body, killing it

    So they had a computer jumble up a bunch of different sequences of a minuscule viral genome and whoop-de-do some of them were still functional. These articles are all the same and all so tedious.

  • TerminalEncounter [she/her]@hexbear.net
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    10 days ago

    Why would you 3d print viruses an LLM made

    What about that sounds like it should happen in real life and not the opening to some 2nd rate The Stand style scifi dystopia

    • The_hypnic_jerk [he/him]@hexbear.net
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      10 days ago

      I read about it a bit ago, I don’t think it’s fake but it’s not “ai-generated”. Basically the model is given a bunch of data, and due to it not having like a humans bias of what a virus is supposed to look like to be stable, it comes up with bizarre variations of an existing strain that wouldn’t likely be thought up of without being able to look at, and process, all the data at the same time. Some of those variations ended up being stable, which surprised the researchers.

      This is my recollection of a sub stack on it I read a week or two ago.

      This also isn’t that surprising, this is the thing models are good at. Analyzing raw data.

      • peeonyou [he/him]@hexbear.net
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        10 days ago

        it is kinda what they do right? take a bunch of data, and throw shit at the wall to see what sticks statistics-wise. it shouldn’t be THAT surprising that some of the viruses ended up being stable

  • Llituro [he/him, they/them]@hexbear.net
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    10 days ago

    Scientists don’t use AI, they use machine learning techniques to see if it can do something they were doing by hand more efficiently. If a scientist says they used AI, they are either lying or attempting to dishonestly win grant money, and neither is acceptable. Something called AI has no place in science. Not saying don’t have thoughts about this, but a pop sci article isn’t going to have sufficiently rigorous information to help anyone form a sufficiently informed opinion about pretty much any actual piece of scientific literature. I have also seen scientists waste many hundreds more good compute hours doing bad statistics with too large a data set or with a python script that breaks at the end of running to truly bad mouth attempts at using ML methods. It’s not particularly more irresponsible in and of itself than thoughtless and wasteful high throughput computing already is.

  • plinky [he/him]@hexbear.net
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    10 days ago

    I’m still waiting for scientist on one to produce strains of yeast making morphine/cocaine/ld, probably could single handedly kill all cartels and cia money machines

  • fox [comrade/them]@hexbear.net
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    10 days ago

    I’ve read somewhere about the unlimited terror of reverse-chiral life. Basically all molecules in life will be left-handed or right-handed - mirrors of each other. All life on Earth has the same chirality for all molecules, but scientists could now theoretically create opposite-chiral life which is incompatible with Earth’s biosphere. Bacteria that cannot be preyed on by any virus and which cannot be killed by immune system bacteriocide proteins because they don’t match the key to the lock any more.