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Yeah, the hidden caveat is that in a lot of cases, science "suddenly" progresses when scientists get access to better equipment or get trained in new methods, a
by eli_gottlieb 8y ago
Yeah, the hidden caveat is that in a lot of cases, science "suddenly" progresses when scientists get access to better equipment or get trained in new methods, and can suddenly admit to our funders that the things we were doing before sucked.
- toasterlovin 8y agoI dunno. There's a lot to be said for squeezing as much as you can out of whatever technology you currently possess. The current iteration of sequencing will surely be looked back on as woefully inadequate, but we're learning a ton with it now.
- joe_the_user 8y agoThe problem is I don't think that possibility can be evoked for situations where one discovers more and more things are part of a single, vast, interrelated system. At least until we get "AI Complete" approach, we can't expect to suddenly a means to "debug" a system crudely analogous to a "million lines of spaghetti code" (and yes, only crudely analogous but the ways that analogy break down only makes the whole thing harder to understand).