Mastodawn

Right now, yes, I think biological systems like the incredibly complex way DNA (and other genetic code) interacts with hyper-local and other environments to produce biological stuff is beyond the reach of genAI.

However, I'm sure there are hundreds or thousands of biological researchers using AI or slightly simpler machine learning algorithms to solve tough problems--these tools can sometimes spot (and other times just use, without telling us how) patterns that humans can't.

I like this post and think it's accurate so far--with my painfully limited, layperson's understanding of biology--but a year ago the experts said #AI would never generate good code, and now it generates useful code in lots of areas. It won't stop getting better, and I don't think we're near any plateaus in its improvement.

The main reason to oppose AI isn't because it sucks.

#biology #code #resist #meme #dna

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Seiðr 4d ago

@guyjantic Sure there AI algorithms used in genetic sequencing and protein folding and other MolBio stuff, but they are as removed from these stochastic parrots that inflate the economic bubble as, say, a bird from a dragonfly: both fly and have wings, but have nothing to do in how they work.

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DragonBard 4d ago

@Illuminatus @guyjantic LLMs are a dead end evolutionary path in the AI space. Other AI methods and models are currently being starved, and we may never know what they could have become.

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Proto Himbo European

@DragonBard @Illuminatus I wish I were knowledgeable enough about AI (no, the real kind) research to get into the weeds, but yeah, I think the reallocation of resources toward genAI is probably going to set actual AI research back quite a bit. We can't even get a real robot singularity; we get the shitty Temu version.