The speaker says later AlphaFold versions learned rotation symmetry from more data rather than relying on a rigid imposed constraint, making the approach more flexible.

“They sort of built it into the learning process and only in later versions, you know, sort of rotation symmetry was automatically found by the model just with more data and was a bit more flexible because whatever physical constraint you put in, it's not always as rigid and then you sort of you gain something if you let the model learn from this.”