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TFA aside, if we could make scientific research produce new insights with low latency and almost-zero costs, it would definitely not make science worthless. It
by sebastiennight 2y ago
TFA aside, if we could make scientific research produce new insights with low latency and almost-zero costs, it would definitely not make science worthless.
It would be a fantastic day for science.
Not everything is worth (production costs + margin). Many things have intrinsic worth and are worth more to society if you drive down their cost of production.
- _heimdall 2y agoThat sounds like an extremely dangerous day for science as well. If anyone could pop up an ML tool and task it with inventing and validating something truly novel, that would be weaponized extremely fast (likely right after people use it for porn, the frontier for all new tech). I do totally agree on the cost + margins point you make. I've never actually been a fan of valuing things in that way, and in my pipe dream utopia we wouldn't need or use money at all. I didn't clarify enough there, but I actually mean worthless in the non-monetary sense as well. Any invention created through such an ML tool would be one of a countless pile of stuff created. How important can any one really be?
- sebastiennight 2y agoI would compare this question to "creating a new page on the Internet just adds to a countless pile of URLs. How important can any one really be?" And this leads us to: most will be slop, but if you can figure out effective ways to perform (a) Search, and (b) Alerts, then this scenario is definitely a game-changer. Let's take protein synthesis: imagine if we were able to programmatically generate an accurate paper describing every property of a given protein structure. And we just ran this for every single protein in the Universe. You'd end up with a seemingly infinite number of papers, most of which would be useless. But if you (scientist or engineer) could effectively look up "binds to receptor X and causes effect Y" and see all valid candidates within milliseconds, it would be more valuable than any technology we've ever come up with. If you could, also, set an alert eg. "tell me about any combination that has superconducting properties" and get notified when this one-in-a-trillion protein is found, this would also be more valuable than any technology we've ever come up with.
- _heimdall 2y agoThat actually raises a more fundamental question here. This project specifically focused their tests on research topics that can feasibly be tested by the ML tools, writing software. I assume that was an intentional decision, and a clever one that let them point to promising test results while ignoring that potential limitation when valuing their tool. These ML tools will need to not only come up with novel ideas, they'll need a way to test and validate them. For anything outside of software that almost certainly means modelling. If we already have validated models that may work well enough, but if you extend the scope to literally any novel protein that is possible the ML tool would first have to figure out how to model it. What would that even look like? How would an ML tool trapped in a computer and limited to the knowledge it was trained on be able to model any protein in the universe and be able to validate exactly how it would function in the real world?