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Of course, they havent solved everything, but you seem to be doing exactly what I accuse that entire field (and academia in general) of doing - which is to insist a problem is intractable or hard and undermine someone potentially challenging that. When they released the 2018 results tbey field did embrace it (for sure I'd consider the groups organizing CASP as at least forward thinking) but was still skeptical on how much more progress it can make; now they blow everyone's minds again by a monumental leap and again people want to come say of course this is the last big jump!

I understand the self preservation instincts that kick in when there's a suggestion that the entire field has been in a dark age for a while, but I hope you can see that there might be something fundamentally wrong with how research is done in academia and that is to blame for why this didn't happen sooner, and why it's so hard for many to embrace it.

Regarding your comments on the inapplicability of this current solution for docking, I'm sure that's the next project they're taking up, and let's see where that goes.

This is exactly the same type of progression that happened with Go, where when their software bet a professional player everyone's like "yeah but I bet he wasn't that good". A few years later and Lee Sedol just decided to retire. I am interested to see what happens to that entire academic field in a similar vein, though my interests are more in knowing how science can advance from more people thinking this way.




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