I’ve never really understood the AI can cure disease angle. The AI/ML tools are great at managing complexity, but when it comes to treatment/cures, you have to deal with the complexity anyway. Unless you believe that drug repurposing is the universal rosetta stone for curing disease, and its just a matter of trying all these drugs we have at least run through a safety trial? However, if all these diseases/personalised medicine requires new trials of things, how can that possibly scale (up, and also down to n<10 diseases)?

▲ an0malous a day ago | parent | next [-]

I wouldn't say current AI/ML tools are great at managing complexity, they create a lot more complexity per lines of code output than a good engineer would

	▲	hirenj 15 hours ago \| parent \| next [-]
		I typically distinguish between complexity and complication when discussing biology. I don’t consider most molecular biology/biology to be complicated, rather it is “just” a hugely diverse set of largely orthogonal subsystems. Protein folding prediction kind of proves my point. The techniques of structure templating have been around since before current ML era, but it took GPUs to scale that simple technique out to the level that we could get useful structure prediction. It is fair to assume our understanding of molecular machinery can scale similarly, but we are limited in our capacity to manipulate and test these diverse things.
	▲	jdiff a day ago \| parent \| prev [-]
		`this.fooA = Foo(arguments); this.fooB = Foo(arguments); this.foos = [this.fooA, this.fooB]; this.foo = instances;` Real code written by a real frontier LLM asked to implement and attach two Foos to my Bar. fooA and fooB are referenced, the rest were just dead code.

▲ bagacrap a day ago | parent | prev | next [-]

Given the popularity of grey market peptides, it seems the people prefer hope over safety.

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jeltz a day ago | parent [-]

Outside bodybuilders I do not think they are popular.

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brokensegue a day ago | parent | next [-]

They are in wide use outside of that community

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estearum a day ago | parent [-]

No they're not lol.

Put some numerical values to "wide" please, so we can establish whether we mean the same thing by it.

I would be shocked to hear that more than 1% of Americans are using "grey market peptides," and I would be more shocked to hear that <1% usage is considered "wide" in anyone's book.

	▲	brokensegue 21 hours ago \| parent [-]
		Even just grey market glps have millions of users. I'm not going to argue the definition of wide use. My point is that it's not just body builders. I hear people talking about peps at the barber and at cafes

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bagacrap a day ago | parent | prev | next [-]

Body builders are certainly on the forefront of biohacking, but the market is only getting bigger. Peptides are becoming popular in the same way that lifestyle HRT and tanning beds and plastic surgery and nutritional supplements are popular.

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sambull a day ago | parent | prev [-]

The obvious response would be Semaglutide which is a glucagon like peptide (GLP-1) made more main stream recently as a weight loss drug. You may have heard of it as the name Ozempic.

	▲	bagacrap a day ago \| parent \| next [-]
		Well yes but that actually is well studied and known-safe, as much as we can know something still relatively newish to be safe.
	▲	estearum a day ago \| parent \| prev [-]
		The obvious response is the mass-market success of a drug that was approved by the traditional approval process? And in fact didn't even achieve mass market use until it was approved specifically for weightloss? That's as far as you can get from "grey market."

▲ signatoremo a day ago | parent | prev [-]

Nobody promises that AI will cure diseases. This article was misleading. An earlier WSJ article wrote:

A letter at the front of the filing says AI could speed up biology and medicine, “potentially curing diseases that have plagued humanity for millennia.” It names cancer, Alzheimer’s, heart disease, rare genetic diseases and infectious diseases as examples.

Anthropic said AI could speed up, and potential help with curing diseases. Not that AI would do that by itself.