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It's nice and frustrating to see a wider audience struggle with this. It's not really a new one, though there are some hucksters out there that have made it the
by tysam_and 3y ago
It's nice and frustrating to see a wider audience struggle with this. It's not really a new one, though there are some hucksters out there that have made it their soapbox. This has been sort of a settled conclusion for a number of years among who I'd consider to be mature, reasonable researchers in the community.
AI is good at filtering large amounts of data for final human review. There are some information sieves that work well with large generative models. It will likely not fully surpass humans until some set of benchmarks consistently beats human performance by some multiple factor much greater than 100%. In that case, we'll have some ethical questions about what to do about it and what is the most appropriate way to transition if any, but having a human making the final decision for now seems the most appropriate route until we have more information about what things look like in the future.
That's my best understanding, and both a mix of my opinion(s) and what I've heard from others. Any much beyond it I think is a very silly argument.
- tysam_and 3y agoOh, I want to clarify as well, that in talking about equivariances, I'm talking about the molecule generation side of things. So my main comment wasn't originally intending to get into textual language model stuff. Molecular dynamics is an entirely different beast that my best understanding is that it's quite difficult for a number of reasons.