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bilater 3 hours ago

how much would you pay for a prompt that could cure cancer? if you're a pharma company you would pay millions to get there days faster than your competitor. as intelligence rises the marginal value it can deliver rises with it.

philipkglass 3 hours ago | parent [-]

Something like curing cancer (more realistically, curing a specific kind of cancer) has to interact with much slower real-world processes. The most expensive part of drug development is Phase 3 clinical trials in humans. Even the smartest model in the world can't accelerate that meaningfully. Even much earlier when drugs are just testing in cell cultures, it's a lot slower to run lab tests than to run software tests or mathematical proof checkers.

Or to put it another way, there's enough natural variation in real-world bottlenecks that no pharma company can assume they'll beat competitors to market by using a smarter model.

A really smart model could significantly improve the pharma business if it could identify promising approaches to cancer treatment that are less likely to fail in clinical trials, but I don't think that the frontier labs have data to make that work yet. Much of the biomedical literature is poorly reproducible ("replication crisis") and much of the drug-development-specific data is proprietary, never published in the first place.

I do have hopes that general laboratory automation will go faster with LLM assistance, even if all the LLM does is write Python glue scripts to enable custom workflows and instrument integrations.