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Comment by slashdave

12 hours ago

> we're going to see massive increases in parallelization

Why? This is not an AI problem, it's an industry one. And if it was simple, it would already exist.

Well, it matters more for AI because there are some limitations of human research that don't apply to AI. Not all of course, just mainly the fact that there's a finite number of great researchers. Other things are limitations that could theoretically be overcome -- for instance, it's "only" money stopping you from having more lab space as long as you have a suitable robot to run a lab.

  • > as long as you have a suitable robot to run a lab

    Let me guess. You have never stepped in a lab.

> And if it was simple, it would already exist.

Not necessarily. Many things are simply gatekept behind the door.

  • Do you have any idea of the amount of money involved in pharmaceutical R&D?

    • Yes, I do. My comment was a general sentiment saying that sole inexistence of something is not a proof that that something has to be very complex. Pharma is no different when it comes to people relationships and/or fear of somebody else stealing your chunk of expertise and/or fear of some other company taking a significant part of your revenue. Gatekeeping is one form of "preventing" or slowing down the process, and we see it in various domains regardless of their complexity.

      We see it happening in SWE as we speak - people from and outside the tech who had no or very little experience with programming are now starting to deliver their ideas into products without devs or very few of them. We also see this within the SWE where strong domain experts are now able to deliver ideas into code easier than ever, and by themselves, and for which they would previously need a handful of programming experts. We also see it in other way too, strong programming experts are now able to pick up other domain easier than ever.

      This process is something that I believe it will (and hope so) inevitably be picked up by the pharma too so the myth about the complexity will become broken.