Omarchy folks. Less slop, more code reviews, please.
v3 -> v4 migration just deleted my network setup without warning. SSH gone, tailscale gone. And migration never finished bc of a browser bug.
That's not called a migration
ok before this leaves my orbit any further:
i am not trying to say that llms aren't being used in bio nor am i trying to make a moral claim about llms or ai models more broadly.
the original poster wasn't saying that ai = good bc cancer they were saying that this is some narrowly defensible usage of ai; i am saying that there isn't such a binary between the two.
alphafold 3 for example is a "generative ai model", likewise gpt-rosalind and claude science etc are actually being used in the natural sciences and medicine.
"the ai that detects cancer early" (presumably smth like CHIEF) is a hybrid cnn-transformer visual model used for discriminatory tasks, so in fairness is not a generative model, but such generative models are broadly used in biomedical research
my point more accurately phrased, because i didn't expect this tweet to be seen by more than like 5 people was a plain observation that there is an interesting folk ontology of "good ai" (finds cancer) vs "bad ai" (makes games bad and ugly art)
ok before this leaves my orbit any further:
i am not trying to say that llms aren't being used in bio nor am i trying to make a moral claim about llms or ai models more broadly.
the original poster wasn't saying that ai = good bc cancer they were saying that this is some narrowly defensible usage of ai; i am saying that there isn't such a binary between the two.
alphafold 3 for example is a "generative ai model", likewise gpt-rosalind and claude science etc are actually being used in the natural sciences and medicine.
"the ai that detects cancer early" (presumably smth like CHIEF) is a hybrid cnn-transformer visual model used for discriminatory tasks, so in fairness is not a generative model, but such generative models are broadly used in biomedical research
@RoseSilicon i think you misinterpreted what i was saying; i meant more so that non-technical types seem to think there's some binary distinction between "cancer curing ai" and "bad ai" and that the two are cleanly separable
@_0x0000000 are you disagreeing with me? bc i meant like, they have this distinct mental model of there being "good ai" ("vibe coding", image generation, etc.) and "bad ai", where there's some specific singular ai model that is used in bio and the other models are Evil and Theft