Agents seem to be useful for quickly mapping a problem space through trial&error + throwing stuff at the wall and seeing what sticks.

Anything grindy. Reverse engineering. Performance optimizations.

That's where swarms shine I think. But that's a much much much smaller problem space than what these agents are being sold for.

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edot an hour ago | parent [-]

Right, the key being a fast feedback loop. I have full confidence that the same LLMs that can do these crazy math proofs could also do crazy biology, even cancer research, but they simply don’t have the cycle time low enough because they require actual physical experiments, often on living things, often over long time horizons. Even if you perfectly automated a lab, made thousands of them, you’d still be unable to match the speed of iteration that one gets with pure math and computing problems.

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lifeisloving 40 minutes ago | parent | next [-]

What gives you full confidence? The human body/biology has basically nothing to do with math or writing code. This doesnt translate in any way. There isnt a single biotech expert on earth that agrees with you.

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44 minutes ago | parent | prev | next [-]

[deleted]

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ForHackernews an hour ago | parent | prev [-]

Plus you'd kill a lot of people.

"You're absolutely right, that drug was lethal and that's on me. I'll add a note to check human toxicity for all compounds in the future. To verify the safe dosage, I'll administer a high dose and then check smaller doses until the patient survives — not guesswork, grounded load-bearing experiments."

	▲	pranavm27 15 minutes ago \| parent [-]
		That's exactly what Sidney Farber did in Boston Children's Hospital btw in late 1940. One of his tests fast forwarded cancer. I think its practical to solve cancer on a war footing where we would expect people to die. And Farber's methods were pretty fast for his time - lol Farber would be a perfect name for this AI that wants to solve cancer knowing what's at risk.